Yield Loss & Action Thresholds of Chronic Insect Pests

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    Evaluation of action thresholds for chronic rice insect pests in the

    Philippines. I. Less frequently occurring pests and overall assessment

    J. A. LITSINGER1, J. P. BANDONG2, B. L. CANAPI3, C. G. DELA CRUZ2, P. C. PANTUA2,

    A. L. ALVIOLA2, & E. H. BATAY-AN III4

    11365 Jacobs Place, Dixon, CA, USA,

    2International Rice Research Institute, Metro Manila, Philippines,

    3Monsanto

    Philippines, Makati, Metro Manila, Philippines, and4

    Philippine Department of Agriculture

    Abstract

    Action thresholds as decision tools for insecticide application were developed and tested against the major insect pests of rice

    at four sites in the Philippines over a 13-year period. Action threshold treatments were compared to the farmers practice,prophylactic insecticide usage, and an untreated check. Yield loss data using the insecticide check method partitioned yieldlosses over three crop growth stages in the same test fields. Chronic pests that exceeded action thresholds in 79% of fieldswere whorl maggot Hydrellia philippina Ferino (Diptera: Ephydridae), defoliators Naranga aenescens Moore and Rivulaatimeta (Swinhoe) (Lepidoptera: Noctuidae), leaffolders Cnaphalocrocis medinalis (Guenee) and Marasmia patnalis Bradley(Lepidoptera: Pyralidae), and stemborers Scirpophaga incertulas (Walker) and S. innotata (Walker) (Lepidoptera: Pyralidae).Minor chronic pests reached threshold levels in only one site each: rice bug Leptocorisa oratorius (F.) (Koronadal),whitebacked planthopper Sogatella furcifera (Horvath) (Zaragoza) and green leafhopper Nephotettix virescens (Distant)(Guimba); brown planthopper Nilaparvata lugens (Stal) did not exceed a threshold in any field. Stemborers were the mostimportant pest group in terms of yield loss. Despite the insecticide check method underestimating losses, a mean crop loss of0.62 t/ha was measured which showed ample scope for corrective action. But loss was evenly distributed across crop growthstages (0.15 0.24 t/ha) reducing the impact of insecticides. Action threshold treatments overall outyielded the untreatedcheck, more so in the two sites with highest pest density. The benefit of thresholds was to reduce insecticide usage, as a costsaving. However all the practices showed poor economic returns including the farmers practice. Farmers practice employedlow insecticide dosages and timing was not consistent with pest damage, but yields were often similar to threshold treatments.

    Farmers appear to use insecticide more for risk aversion than for profit. The best threshold characters when evaluated againstresulting pest density and yield loss criteria showed accuracies 490% correct decisions. Future work is needed to improvethe insecticide response rather than monitoring tools. Thresholds need to be incorporated into improved crop management,which was often found suboptimal by farmers, to take advantage of the high levels of tolerance in modern high tilleringcultivars. Crop husbandry practices which improve yield potential such as selection of longer maturing varieties and nitrogenfertilizer may be a more effective pest management strategy than insecticides.

    Keywords: Pest control, irrigated rice, insecticides, decision making, yield loss, plant tolerance, planting date, colonisation

    pattern, nitrogen fertilisation

    1. Introduction

    Modern rice varieties possessing genetic resistance

    against brown planthopper Nilaparvata lugens (Stal)

    and green leafhopper Nephotettix virescens (Distant),

    the major epidemic insect pests, have been widely

    grown by farmers since the mid 1960s (IRRI 1985).

    Genetic resistance against chronic insect pests has

    been less successful (Heinrichs 1986). Whorl maggot

    Hydrellia philippina Ferino, defoliators Naranga

    aenescens Moore and Rivula atimeta (Swinhoe),

    leaffolders Cnaphalocrocis medinalis Guenee and

    Marasmia patnalis (Bradley), stemborers Scirpophaga

    incertulas (Walker) and S. innotata (Walker), rice bug

    Leptocorisa oratorius (F.), and whitebacked planthop-

    per Sogatella furcifera (Horvath) are recurring pestscausing significant yield losses in the Philippines as

    determined by the insecticide check method (Lit-

    singer et al. 1987). Shortages in rice production in

    the 1970s and 1980s due to epidemic pests spurred

    the development of integrated pest management

    (IPM) strategies with the focus on minimising

    insecticide usage, which had been found to upset

    natural enemy populations leading to pest resurgence

    and secondary pest outbreaks. It is ironical that

    farmers now often overuse insecticide from fear of

    losses caused by a past history of crop failures from

    epidemic pests (Kenmore et al. 1987; Litsinger

    1989). Farmers also overestimate losses from chronic

    pests based on their experience from epidemic pests

    prompting further overuse (Heong and Escalada

    1997).

    Chronic insect pests are the main targets for IPMtraining programmes now widespread in Asia where

    Correspondence: J. A. Litsinger, 1365 Jacobs Place, Dixon, CA 95620, USA. Tel: 1 707678 9068. Fax: 1 707678 9069. E-mail: [email protected]

    International Journal of Pest Management, January March 2005; 51(1): 45 61

    ISSN 0967-0874 print/ISSN 1366-5863 online # 2005 Taylor & Francis Group Ltd

    DOI: 10.1080/09670870400028284

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    farmers learn crop monitoring and management

    decision skills (Matteson 2000). One of the basic

    tenets of IPM is to minimize insecticide usage, thus

    pest populations are tolerated until pest density has

    reached an economic threshold level or when other

    control methods are impractical or uneconomical(Norton and Mumford 1993). The main tools for

    insecticide decisions are economic thresholds which

    are pest densities that trigger a corrective action

    before the damage reaches the critical economic

    injury level (Morse and Buhler 1997). Economic

    thresholds are based on damage relationships be-

    tween abundance and yield which along with

    economic parameters can predict the most optimal

    new thresholds as costs change. Damage functions

    have not been worked out for chronic rice insect

    pests, thus empirically derived action thresholds

    (ATs) have been utilised along with surveillance

    methods (Dyck et al. 1981; Reissig et al. 1986; Wayet al. 1991).

    In the developed world, farmers often contract

    surveillance activities to professional scouts to make

    pest control decisions. In the developing world,

    small-scale farmers cannot afford to hire scouts, thus

    the use of ATs must be able to be mastered by

    farmers. Thresholds have often been said to be too

    difficult for farmers to master (Goodell 1984;

    Matteson et al. 1994; Morse and Buhler 1997), as

    those developed by researchers usually are not in a

    form that farmers understand. Goodell et al. (1982)

    advocated that for IPM technology to be easilyassimilated, research should start with the farmers

    and not from research stations. Studies have shown

    that most farmers develop their own thresholds and

    monitoring techniques (Bandong et al. 2002). A

    number of the threshold characters being evaluated

    in this study were ideas that came from farmers

    (Bandong et al. 2002). A reciprocal relationship

    between the farmers and researchers perception of

    ATs needs to be fostered as both stand much to gain

    from each others perspectives and individual skills

    (Goodell 1984; Heong and Escalada 1997).

    This study represents the field testing of ATs

    against chronic insect pests of rice following on from

    the early work reported in Heinrichs et al. (1978),

    Waibel (1986), and Smith et al. (1988). ATs are

    composed of a character to measure, a level for that

    character, a monitoring protocol, and a corrective

    response, normally an insecticide that would entail a

    recommended dosage and timing. ATs were com-

    pared to the farmers practice, a prophylactic best

    insecticide practice, and an untreated check.

    The resilience of rice crops to pest damage was

    evaluated by site and season using yield loss data.

    There are reports of exceptional examples of modern

    rices ability to compensate from abnormally highinsect infestation: crops suffering 50 and 82% rice

    whorl maggot damaged leaves (Viajante and Hein-

    richs 1986; Shepard et al. 1990), 67% damaged

    leaves from leaffolder (Miyashita 1985), 30% dead-

    hearts and 10% whiteheads (Rubia et al. 1996), and

    three whiteheads/hill (Litsinger 1993). Nitrogen (N)

    contributes to this resilience and was tested as a

    contrasting strategy to insecticide in response to ATs.

    This paper is the first of a four-part series. The

    succeeding papers focus on the development for ATsfor whorl maggot and defoliators (Litsinger et al.

    2005) while those on leaffolders and stemborers will

    follow. This first part reports on the ATs for the less

    common pests and gives an overview.

    2. Materials and methods

    2.1. Study sites

    ATs were tested on-farm over a 13-year period in

    four irrigated, double-crop rice areas typical of the

    Philippines major rice bowls (Pingali et al. 1997)

    23 crops in Zaragoza (141 fields), 15 crops inKoronadal (109 fields), 13 crops in Guimba (88

    fields), and 17 crops in Calauan (81 fields). Farm

    sizes ranged from 51 to 4 ha with land preparation

    done by rotary tillers. Two sites Zaragoza (mean

    2.1-ha farms) and Guimba (mean 0.9-ha farms)

    were in Nueva Ecija province, Central Luzon, while

    Calauan (mean 2.1-ha farms) lies in Southern

    Luzon, Laguna province. A fourth site, Koronadal

    (mean 1.0-ha farms), South Cotabato province is in

    Mindanao southern Philippines.

    Zaragoza comprised the villages of Marawa,

    Malabon Kaingin, Imbunia, Rajal Norte, and Bati-tang in portions of Zaragoza, Jaen, and Santa Rosa

    towns. Zaragoza farmers fields lie at the lower end of

    the Upper Pampanga River Irrigation System and

    consequently were planted late in the wet season due

    to delayed water delivery. Crops often reach maturity

    during the time of the strongest typhoons (between

    October 15 and November 15) and as a result suffer

    severe damage from flooding or lodging, or indirectly

    by diseases spreading from wind-whipped foliage or

    due to harvested grain that cannot be dried. Further

    description of farmers and the area is given by

    Goodell et al. (1982).

    The Guimba site was located in the village of

    Bantug next to the International Rice Research

    Institute (IRRI) and Philippine Regional Department

    of Agriculture Cropping Systems Program research

    site in nearby San Roque and Macatcatwit. Deep

    well pumps, one per village, each irrigated 60 100

    ha. Due to the small irrigation systems farmers plant

    their wet season crop earlier than in Zaragoza,

    avoiding the severe typhoons. Tungro disease is

    endemic, occurring sporadically. The electric pumps

    are expensive to operate and break down often

    leading to drought stress. Further site description is

    given in Entomology Department (1985).Calauan is located 10 km south of the IRRI

    research centre in the villages of Pulong and Dayap.

    The rice area is irrigated by river diversion from small

    streams feeding Laguna de Bay lake from the

    46 J. A. Litsinger et al.

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    watershed of Mt. Makiling volcano. The villages are

    located along the lake edge but away from the

    perennial flood zone. Calauan farmers experienced

    large scale tungro outbreaks in the early 1970s. In

    Koronadal the villages of Namnama, Magsaysay,

    Barrio 1, Avancenia, and Morales were selected inthe Marbel River Irrigation System. Koronadal lies

    outside of the typhoon belt but has been the site of

    outbreaks of tungro, grassy stunt, and brown

    planthopper hopperburn in the early 1980s. With

    its longer rainy season, the double crops are referred

    to as first and second rather than wet season and

    dry season. Its volcanic soil is still fertile and high

    yields are obtained with lower amounts of inorganic

    fertilizer. Further site description is given in En-

    tomology Department (1985, 1988).

    2.2. Research teamsATs were developed and tested in farm commu-

    nities by resident research teams for each site. Field

    workers were recruited from the surrounding villages

    representing major ethnic groups. A field office was

    rented and staffed by a laboratory assistant trained in

    ricefield arthropod identification and equipped with a

    dissecting microscope. The resident entomologist

    and team were encouraged to improve on current

    thresholds with farmers as co-partners. Thus there

    was constant revision of threshold characters, levels,

    insecticides, and methods of application.

    2.3. Experimental design

    Thresholds were tested under farmers agronomic

    conditions as much as possible including their

    currently used cultivars and seedbed methods. The

    only stipulation made was not to include direct

    seeded crops as this has been found to affect pests

    (e.g., whorl maggot Litsinger 1994). The purpose

    was to conduct the trials under farmers field

    conditions and to only vary the insect control

    variable. The many cultivars used, for example,

    possessed genetic resistance against a similar com-

    plex of insect pests and diseases. The dapog seedbed

    method adds 2 weeks to the crop in the field.

    Farmers vary their management practice as they see

    fit throughout the season more commonly than

    following a standard set of practices. We did not

    attempt to dictate crop management practices for

    them. The results of the research will yield technol-

    ogy that is more robust and adaptive.

    Each season four to nine new farmers (replica-

    tions) were identified from each site to be co-

    operators. These farmers were dispersed geographi-

    cally within each community and grew the most

    popular variety at the time. Planting dates werestaggered over the planting season to allow expres-

    sion of the full range of pest densities. The most

    popular varieties changed over time but included

    IR36, IR42, IR62, IR64, IR74 (maturities ranging

    from 90 to 110 days) in most sites. Locally farmers

    had other selections: Koronadal with IR60 (released

    only in Mindanao) and an unofficial line #90;

    Calauan with C1 and Malagkit (both 120 days) and

    IR70; Guimba with IR58; Zaragoza with IR52 and

    IR56. To be released, Philippine varieties must beresistant to green leafhopper and brown planthopper

    which caused severe epidemics in the 1970s before

    improved multiple pest-resistant varieties were devel-

    oped. As resistance is not durable, new varieties must

    be developed continually.

    Crops were transplanted from wet seedbeds or

    dapog. The latter was popular in Calauan and

    Koronadal where seeds are sown on banana leaves

    thus roots do not enter soil to minimize transplanting

    shock (from roots torn off while pulling seedlings),

    field establishment occurs 2 weeks earlier than a

    wetbed. Each season 30 40 farmers, including the

    current co-operators, were interviewed every fewweeks to record their cultural practices (e.g.,

    Department of Entomology 1985, 1988).

    Within each co-operators field, a 0.2-ha research

    area was demarcated with plastic string tied to

    bamboo stakes (Litsinger et al. 1980a). Typically

    eight to 10 treatments were included in the experi-

    mental design each season combining yield loss

    assessment along with two thresholds compared to

    the farmers practice, a prophylactic insecticide

    regime, and an untreated check. With the exception

    of the farmers practice (1000 m2

    ), plot sizes were

    100200 m2

    . This design and plot size arrangementhave been determined to have unbiased effects on

    pest abundance (Litsinger et al. 1987). Five of the

    treatments were designed to measure yield loss using

    the insecticide check method which had been tested

    earlier in other sites (Litsinger 1991). Three crop

    stages were recognised following Yoshida (1981)

    vegetative (transplanting to panicle initiation), repro-

    ductive (panicle initiation to flowering), and ripening

    (flowering to maturity 10 days before harvest). In a

    typical 110-day variety, the reproductive stage would

    begin about 40 d.a.t. and end about 30 days later.

    The seedbed had been included in experiments prior

    to the current study, but as no significant yield loss

    was ever measured, the seedbed portion of the

    vegetative growth stage was eliminated.

    The first treatment termed full protection at-

    tempted to show the yield potential with the least

    possible insect damage. Weekly insecticide sprays at

    the manufacturers recommended dosages were

    applied to each plot with interplot spray drift

    minimised by a mosquito cloth on a 1 6 3-m wood

    frame held downwind by two assistants. Insecticides

    were selected both for their efficacy as well as proven

    neutrality regarding phytotoxic or phytotonic effects

    on rice (Venugopal and Litsinger 1984). Insecticideswere applied as foliar sprays with 19-l, lever-operated,

    knapsack sprayers fitted with hollow cone nozzles

    using a 200 300-l/ha spray volume (increased with

    crop growth). From the second to fourth treatments,

    Action thresholds for chronic rice insect pests 47

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    insecticide was withheld from each successive growth

    stage, with the fifth treatment being the untreated

    check. The prophylactic treatment involved soil

    incorporation of 0.5 kg a.i. carbofuran granules/ha

    before transplanting followed by two foliar sprays of

    0.4 kg a.i. chlorpyrifos/ha 10 days apart during thelate reproductive stage to prevent stemborer white-

    heads. All treatments were in randomised complete

    block design with replications as fields. Yield was

    taken from five 5-m2

    crop cuts in a stratified sample

    per treatment and dried to 14% moisture.

    Total yield loss was calculated both in terms of grain

    weight and percentage. Total yield loss was the

    difference between the full protection and untreated.

    To calculate percentage, total loss was divided by the

    untreated yield and multiplied by 100. Loss in each of

    the three growth stages was calculated in separate

    treatments where protection was omitted from each

    stage sequentially. Yield was subtracted from that ofthe full protection treatment. The loss in each of the

    growth stages was summed and adjusted upwards or

    downwards proportionally so that the total of the three

    stages equalled the total yield loss. Cropcompensation

    was measured by regression analysis using the yield

    loss dataset for each of the two seasons per location

    using crop averages that varied over a range of yield

    potentials. Compensation would occur if the rate of

    yield loss did not rise proportionally with increasing

    yield (i.e., slope of the linear regression equation was

    insignificant).

    2.4. Sampling methods

    Pest incidence was sampled weekly in the thresh-

    old treatments and untreated check, but only once

    per growth stage in the yield loss treatments. Pest

    monitoring for AT decision making was carried out

    in the respective threshold plots. Pest or damage

    densities were usually measured on a per-hill basis

    with the sample size of 20 hills selected individually

    in a stratified pattern exclusive of a 1-m border zone.

    Mechanical hand counters were used to record the

    number of tillers and leaves per hill with pest damage

    recorded on those plant parts as appropriate. One

    staff scored the hill while another recorded.

    2.5. Action thresholds

    Thresholds are multifaceted involving a number of

    variables, any one of which can affect efficacy. The

    first variable is a character such as an insect stage

    (adult, nymph) or its damage symptom (damaged

    leaves, deadhearts). Second is the sampling unit and

    number of samples that express the character

    (planthoppers = 20 hills, green leafhopper = 25 net

    sweeps, rice bug = per hill). Third is the density of thecharacter per sampling unit (e.g., one planthopper or

    rice bug per hill, one leafhopper per sweep).

    Normally a single character with two threshold levels

    was tested each season per site, termed low level

    (e.g., one planthopper per hill) and high level (e.g.,

    two planthoppers per hill), in separate treatments.

    New characters were continually being developed in

    an effort to improve performance.

    Another set of variables is associated with the

    corrective response triggered by a threshold, usuallyan insecticide or N. As development of ATs was

    iterative there was no balanced design to test the

    many characters and response variables in a given

    field. Most characters were tested in multiple sites.

    Data analysis after each season entailed comparing

    yield in the threshold treatments to that in the

    untreated check, farmers practice, and prophylactic

    treatment. An economic analysis was performed on

    each practice where marginal returns and benefit:cost

    ratios were calculated. Included in the analyses were

    crop monitoring and insecticide application labour,

    cost of labour, and interest. The farmers practice

    was what each individual farmer collaborator carriedout in the trial field. Results were scrutinised to

    determine if yield loss occurred in each growth stage

    where thresholds were reached. If no yield loss were

    recorded but thresholds were reached, levels were

    raised the following season and vice versa. Figures

    were drawn to illustrate the weekly pest abundance

    and degree of control obtained field by field (e.g.,

    Department of Entomology 1985, 1988).

    2.5.1. Planthopper thresholds. The whitebacked and

    brown planthoppers were monitored weekly in the

    vegetative and reproductive stages by recording thenumber of adults and nymphs as well as their predators

    from 20 hills along a zigzag transect in each plot

    (Matteson et al. 1994). Each hill was bent over the

    water with one hand and slapped with the other open

    hand to dislodge arthropods including predators onto

    the water surface for easier detection. The average

    number of tillers per hill was calculated. Only the

    brownish mature nymphs (stadia 4 5) and adults

    were counted. Densities of immature white nymphs

    are particularly prone to predation. Predator density

    was incorporated into the ATs, as for each found, five

    planthoppers were subtracted from the total. The AT

    levels ranged from 0.5 to 1 planthoppers (adults and

    nymphs) per tiller. Once half of the AT level were

    reached, monitoring was increased to twice a week.

    Fenobucarb (BPMC) insecticide was applied at 0.4 kg

    a.i./ha timed to when the planthopper population was

    in the late nymphal stage. Timing with mature nymphs

    was to minimize the egg load inside the tillers, as the

    insecticide has only minimal activity against eggs. If

    the crop were to be sprayed when adults were

    dominant, adults would be killed but eggs would

    survive inside the tillers to emerge under very low

    predator densities, often leading to resurgence.

    2.5.2. Green leafhopper threshold. Green leafhopper

    was only monitored if tungro virus was observed in

    the community. The orange yellow discolouration,

    diagnostic of tungro, is masked in mature plants but

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    becomes particularly noticeable in regrowth after

    harvest. A sweepnet was used in the seedbed through

    the vegetative stage, taking 25 strokes while walking.

    The AT level was set at 0.5 adults + nymphs/sweep

    with 0.4 kg a.i. fenobucarb/ha as the response.

    2.5.3. Ricebug threshold. Twenty hills were inspected

    during the milk stage of grain development for rice

    bug adults and nymphs. The range of AT levels tested

    was four to 10 bugs/20 hills with a response of 0.4 kg

    a.i. endosulfan/ha as a single spray.

    2.6. Insecticide response

    When a threshold were reached and insecticide

    was the given response, it was applied within a day of

    monitoring. Insecticide technology was developed in

    an iterative process as well, thus if efficacy was low,

    adjustments were made, normally changing thechemical but in certain instances involved research

    on other application methods. Tests to determine the

    minimum effective dosage were undertaken with a

    view to cost savings. Foliar sprays were applied as

    described in the yield loss trials. Percentage control

    of each threshold character was based on the

    untreated check.

    2.7. Nitrogen substitution

    Application of N has been shown to increase the

    rice crops tolerance of pest damage (Litsinger 1993,1994; Rubia et al. 1996) and was tested in one of the

    threshold treatments in all four sites during the final

    2 years as a substitute for insecticide. The motive was

    derived from the often discouraging results with

    insecticides. Urea was broadcast at 25 kg N/ha,

    equivalent in cost to an average insecticide applica-

    tion, in response to surpassing an AT for whorl

    maggot (eggs per hill from a neighbouring field),

    defoliators (larvae per hill), leaffolders (larvae per

    hill), and stemborers (egg masses per m2

    ).

    2.8. Statistical analysis

    All statistical analyses were performed by SAS and,

    unless otherwise stated, we use P 4 0.05 as the

    criterion for significance. Results were subjected to

    ANOVA and regression/ correlation analysis where

    appropriate. Treatment means were separated using

    the paired t-test for two variables or least significant

    difference (LSD) test for more than two variables.

    Means are shown with standard errors of the mean

    (SEM) using a pooled estimate of error variance.

    3. Results

    3.1. Insect pests and densities

    The chronic pests that regularly exceeded thresh-

    olds were whorl maggot, defoliators, leaffolders, and

    stemborers (Scirpophaga incertulas was prevalent in

    all sites except Koronadal where S. innotata was

    dominant). Less common pests that reached thresh-

    old levels only in single sites were rice bug in three

    crops in Koronadal (5.8% of all test fields in the

    site), whitebacked planthopper in two crops inZaragoza causing patches of hopperburn (9.1% of

    fields), and green leafhopper in one crop in Guimba

    with tungro symptoms occurring sporadically (0.8%

    of fields). The latter three pests occurred too

    infrequently for different threshold characters to be

    tested. Brown planthopper affected 510 fields

    nearby test fields causing isolated patches of

    hopperburn on susceptible cultivars in all sites

    except Calauan, but never in the test fields

    themselves.

    3.2. Yield lossMeasurement of yield loss is an essential element

    in evaluating thresholds. With use of the insecticide

    check method it was expected that the full protec-

    tion treatment would provide 480% control for

    each pest based on damage. This goal was only

    achieved with leaffolders averaging 82.5+ 4.2%

    damaged leaves. Control of damage by defoliators

    (71.3+5.0% damaged leaves) and stemborers

    (67.0+3.2% control based on deadhearts and

    whiteheads) nearly reached the goal but the greatest

    disappointment came with whorl maggot. Despite

    weekly applications of high dosage foliar sprays, only55.2+5.3% control was achieved based on damaged

    leaves over the four sites. Stemborers were the only

    pest to show significant differences by season

    (62.8+6.4 vs. 71.2+5.6% in the wet and dry

    seasons, respectively, by paired t-test with P= 0.04,

    df = 126).

    Yield loss, despite the suboptimal insecticide

    protection, showed considerable scope for IPM when

    viewed as a total (0.62 t/ha or 12.7%) (Table I).

    Yields across sites and seasons in the full protection

    treatment averaged 4.99 t/ha. Highest seasonal yields

    were recorded in Zaragoza dry season (6.23 t/ha) and

    lowest in the Guimba wet season (4.39 t/ha), the two

    closest sites. Untreated crops averaged 4.37 t/ha

    overall with the highest and lowest site yields

    occurring in the Zaragoza dry season (5.50 t/ha)

    and in the Guimba wet season (3.67 t/ha). Lowest

    yield per field was in Guimba 0.77 t/ha in the 1984

    wet season. Highest yield loss per crop was also in

    Guimba dry season (0.77 t/ha); lowest was in

    Calauan wet season (0.30 t/ha).

    Losses during the vegetative stage (0.23 t/ha) were

    significant in all sites and seasons except the dry

    seasons in Guimba and Calauan. No one site or crop

    had significantly higher losses than another duringthis stage. The reproductive stage loss (0.24 t/ha loss)

    was significant in all site season combinations

    except Koronadal second crop and Calauan wet

    season. Least loss occurred in Calauan wet season

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    Table I. Measurement of yield loss by season in four irrigated rice sites by the insecticide check method, Philippin

    Yield (t/ha) Yield lossa/

    Crops Fields Full

    Total Vegetative stage Reproductive s

    Site Season3 (no.) (no.) protection Untreated t/ha % P t/ha % P t/ha %

    Zaragoza WS 12 72 5.09+0.28 b 4.42+0.18 b 0.70+0.19 ab 12.8+2.8 50.0001 0.24+0.11 4.5+1.8 0.03 0.27+0.07 a 5.3+1.DS 11 69 6.23+0.21 a 5.50+0.20 a 0.63+0.11 bc 10.2+1.6 50.0001 0.25+0.06 4.0+0.9 0.005 0.23+0.06 ab 3.8+0.

    Koronadal 1st 7 52 5.16+0.25 b 4.55+0.20 b 0.60+0.11 bc 11.3+1.8 50.0001 0.24+0.07 4.4+1.2 0.004 0.21+0.08 ab 4.1+1.2nd 8 57 4.85+0.19 b 4.10+0.15 b 0.75+0.11 ab 15.3+1.9 50.0001 0.32+0.05 6.8+1.3 0.0004 0.26+0.07 a 4.1+1.

    Guimba WS 7 44 4.39+0.58 b 3.67+0.58 b 0.72+0.09 ab 21.9+7.9 50.0001 0.21+0.06 8.6+5.0 0.001 0.29+0.03 a 7.4+1.DS

    6 44 4.80+

    0.53 b 4.03+

    0.53 b 0.77+

    0.16 a 18.1+

    4.85

    0.0001 0.20+

    0.06 5.0+

    1.7ns

    0.34+

    0.07 a 8.1+

    0Calauan WS 9 44 4.61+0.22 b 4.27+0.25 b 0.30+0.10 c 6.3+2.1 50.0001 0.18+0.08 3.9+1.7 0.03 0.06+0.02 b 1.4+0.DS 8 37 4.79+0.24 b 4.38+0.25 b 0.39+0.08 bc 8.4+1.8 50.0001 0.13+0.06 2.4+1.2 ns 0.16+0.06 ab 3.7+1.

    total 68 419

    avg 4.99+0. 12 4 .3 7+0. 12 0 .6 2+0.08 12.7+0.4 50.0001 0.23+0.07 4.8+0.3 50.0001 0.24+0.07 4.9+0.P 0.003 0.003 0.05 ns 0.02

    F 3.5 3.64 2.13 0.49 2.62

    df 67 67 67 67 67

    1In a column, means+SEM followed by a common letter are not significantly different (P40.05) by LSD test. 2Probabilities show significant differences of losse

    protection in that stage compared to the insecticide protected treatment. Total yield loss was measured as the difference between the untreated and insecticid

    vegetative, reproductive, and ripening stages. 3WS= wet season, DS = dry season.

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    0.06 t/ha. The ripening stage loss (0.15 t/ha) was

    significant in only half the site-crop combinations.

    No one site or crop combination was significantly

    different.

    A wide range of yield losses and yield potentials

    occurred within each site and season. With yield lossas the dependent variable, regressions were made for

    each site and season (Figure 1). In Zaragoza a

    distinct seasonal difference in compensation ability

    was seen (Figure 1a). The wet season data showed an

    increasing rate of yield loss with rising yield levels

    leading to a significant regression showing a lack of

    compensation. But in the dry season a high degree of

    compensation was evident as crops with rising yield

    potentials from 1.5 to 7 t/ha showed an insignificant

    rise in yield loss.

    Data from Koronadal (Figure 1b), however,

    showed a lack of compensation in either the first

    or second crops as the regressions were bothsignificant. Whereas in both wet and dry season

    crops in the low pest density sites of Guimba and

    Calauan (Figure 1c d) high rates of crop compen-

    sation were evident.

    3.3. Nitrogen substitution

    The results of substituting insecticide with fertiliser

    as a response to thresholds showed significant yield

    gains over the untreated plots in three of the eight

    pest season combinations (Table II). Due to the fewseasons of testing, the results were pooled over

    locations. Only responses to stemborers showed a

    yield gain in the wet season, while both whorl maggot

    and defoliators did in the dry season. There were no

    significant yield gains with leaffolder thresholds in

    any season.

    3.4. Threshold treatments compared to other practices

    Thresholds, both high and low levels, were com-

    pared to three other pest control strategies: (1) doing

    nothing (the untreated check), (2) farmers practice

    (among the farmer co-operators), and (3) prophylacticinsecticide scheduling. The full protection treatment

    served as a check showing yield potential with

    maximum insecticide protection. The variables ana-

    lysed for each treatment were percentage of fields

    Table II. Yield gain from pooled fields across sites where nitrogen fertiliser replaced the insecticide response to action thresholds 1.

    Wet season Dry season

    Pest Yield gain (kg/ha)2 P df Yield gain (kg/ha)2 P df

    Whorl maggot 52+42 ns 23 389+43 0.001 24

    Defoliators 121+57 ns 15 274+87 0.02 18Leaffolders 220+132 ns 25 250+112 ns 24

    Stemborers 261+117 0.03 30 240+186 ns 19

    1Nitrogen was applied as urea at 25 kg N/ha when a threshold was reached. 2Difference between threshold treatment and untreated by paired

    t-test at P40.05, mean+SEM.

    Figure 1a d. Relationship between yield and insect pest-caused yield loss in four sites showing compensatory capacity in those crops with

    significant slopes in the regression equation: (a) Zaragoza, (b) Koronadal, (c) Guimba, and (d) Calauan, Philippines.

    Action thresholds for chronic rice insect pests 51

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    treated with insecticide, application frequency of

    treated fields, dosage load per crop, efficacy against

    target pest groups, yield gain, total yield, marginal

    returns from insect control, and benefit cost ratio.

    Over all sites, ca. twice the percentage of fields were

    treated with the low value than the high valuethresholds (68 vs. 36%) (Table III). This was much

    less than the average for farmers (90%) and the

    standardised prophylactic regime (100%). As deter-

    mined from interviews, farmers in three of the sites

    treated 492% of fields for an average crop, with

    Guimba farmers treating the fewest (76%). Guimba

    farmers may have tailored applications to the rela-

    tively low pest densities recorded there, but, more

    likely, they were more strapped for cash to purchase

    insecticide than farmers in other sites due to the high

    cost of running the electrical pump. Highest treat-

    ment frequency occurred with Calauan farmers

    (4 98%), also a low pest density site. Significantdifferences occurred within and between each thresh-

    old treatment with regard to pest density. The

    frequency of fields treated in the high pest density

    sites with the low threshold level was equivalent to

    farmers (90% or more) but was557% from the high

    threshold treatment. But in the low pest density sites,

    the low threshold resulted in significantly fewer (39

    53%) fields being treated, and even fewer (525%)

    with the high threshold level.

    The same general trends were evident in terms of

    the mean number of applications per field, but the

    differences were less distinct. This statistic was,however, based on treated fields and not all fields.

    Farmers averaged one more application (2.3 times)

    than the high threshold treatment (1.3 times), with

    the low threshold treatment closer to the high

    threshold (1.6 times). This indicated that the thresh-

    old levels may have been set too close together, and

    thus were more likely to be exceeded in both

    treatments in each field. Zaragoza was unusual as

    there was no difference between the farmers practice

    and the threshold treatments, all ranging between 1.9

    and 2.0 times. This was due both to the greater whorl

    maggot pressure and the response of double spray-

    ings, as well as more than one pest exceeding

    thresholds per field.

    Greatest frequency occurred with Koronadal farm-

    ers (3.1 applications per crop), probably due to

    farmers responding to recent history of pest out-

    breaks (Waibel 1986). In Guimba where only 76% of

    farmers had treated, the number of applications was

    equal to all sites but Koronadal. This indicated that

    of the Guimba farmers who sprayed, they applied

    more frequently than farmers in other sites. The

    threshold treatments resulted in lower application

    frequencies than the farmers practice in three sites

    for the high thresholds and two sites in the lowthresholds. There was no statistical difference be-

    tween threshold treatments in any site.

    The most popular insecticides of farmers, account-

    ing for 74% of total applications, were mono-

    TableIII.Comparisonofcorrectiveactionstakenbetweenth

    resholdsandfarmerspracticeinsecticideapplicationfrequency

    1.

    Fieldstreated(%)

    Insectic

    ideapplications(no./field)3

    P

    est

    CropsFields

    Low

    High

    Farmers

    Low

    High

    Farmers

    Site

    de

    nsity

    (no.)

    (no.)

    threshold2

    threshold2

    practice

    P

    F

    df

    threshold

    threshold

    practice

    P

    F

    df

    Zaragoza

    H

    igh

    22

    126

    89.5+6.9Aa

    50.8+7.8Ab

    92.5+3.2Aa

    0.003

    4.06

    65

    2.0+0.4Aa

    1.9+0.3Aa

    1.9+0.1Ba

    ns

    1.38

    52

    KoronadalH

    igh

    15

    125

    91.1+5.1Aa

    56.1+5.4Ab

    94.5+6.7Aa

    0.001

    3.95

    61

    1.7+0.2ABb

    1.4+0.2ABb

    3.1+0.2Aa

    50.0001

    16.91

    40

    Guimba

    L

    ow

    13

    81

    38.8+3.7Bb

    14.0+3.7Bc

    76.0+13.4Ba

    50.0001

    6.78

    54

    1.4+0.2Bab

    1.0+0.2Bb

    1.7+0.2Ba

    0.003

    7.17

    38

    Calauan

    L

    ow

    16

    89

    52.5+4.6Bb

    22.2+4.9Bc

    98.4+2.9Aa

    50.0001

    5.01

    58

    1.4+0.3Bb

    1.0+0.1Bb

    2.3+0.2Aa

    50.0001

    12.32

    42

    avg

    68.0

    35.8

    90.4

    1.6

    1.3

    2.3

    P

    50.0001

    0.0001

    0.006

    0.006

    0.008

    50.0001

    F

    5.78

    4.74

    3.96

    4.55

    3.28

    14.41

    df

    66

    54

    48

    66

    54

    48

    1Applicationsnotcountedintheseedbed.Inacolumn,means+SEMfollowedbyacommonupperca

    seletterarenotsignificantlydifferent(P40

    .05)byLSDtest.Inarow,means+SEMfo

    llowedbyacommon

    lowercaseletterarenotsignificantlydifferent(P40.05)byLSDtest.

    2Fertiliserassubstituteforinsecticidewasincluded.

    3Averageofinsecticide

    usersonly.Doublespraysinresponsetoathresholdwascounted

    astwoapplications.

    52 J. A. Litsinger et al.

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    crotophos (33%), chlorpyrifos + fenobucarb (15%),

    endosulfan (9%), methyl-parathion (8%), and cyper-

    methrin (7%). All are broad spectrum materials and,

    with the exception of methyl-parathion, did not differ

    from those used in the threshold treatments. The

    mean dosage per application of farmers ranged from0.20 to 0.23 kg a.i./ha for organophosphate, organo-

    chlorine, and carbamate insecticides (Table IV). This

    is half the recommended dosage which was set at the

    minimum effective dosage level. Insecticide timing,

    ranged among farmers from 20 to 26, 36 to 42, and

    43 to 51 d.a.t. for the first through third applications

    per crop. The late timing of the first application

    showed the farmers practice likely would have

    minimal effect against whorl maggot.

    The calculation of mean dosage load is based on

    multiplying the mean frequency of treated fields,

    mean number of applications per treated field, and

    mean dosage per application. Highest to lowestloads per crop over all sites were ranked from the

    low value threshold 0.46 kg a.i./ha, farmers practice

    0.45 kg a.i./ha, with the high value threshold at half

    the load (0.21 kg a.i./ha) of the other two treatments

    (Table IV). These data can be compared to the

    prophylactic which was standardised at 1.3 kg a.i./

    ha. Highest loads (40.6 kg a.i./ha) occurred in the

    low threshold treatments of the high pest density

    sites and in the farmers practice in Koronadal. In

    order for the dosage loads of the threshold treat-

    ments to be equal to those of farmers, Koronadal

    farmers had to have sprayed twice as frequently percrop. This did not happen in Zaragoza where spray

    frequency was similar, thus the low threshold load

    was twice the farmers practice (0.35 kg a.i./ha).

    Among the threshold treatments, significantly high-

    er loads occurred in the high pest density than low

    density sites reflecting the higher pest pressure. This

    trend did not occur for the farmers practice. In

    Guimba, because of the low frequency of fields

    treated by farmers, there was no difference between

    the farmers practice and the low value threshold. In

    all sites, there were higher loads in the low threshold

    level than high level (0.46 vs. 0.21 kg a.i.). Only in

    Calauan was the farmers practice significantly

    higher than the low threshold.

    The pest control strategies were compared for

    overall efficacy in controlling each pest group withthe full protection serving as a reference (Table V).

    Prophylactic scored the highest overall control (41%)

    among the practices which was significantly lower

    than the full protection (60%) for all pests except

    defoliators. Low and high thresholds were statisti-

    cally similar (31 34%) to each other and the

    farmers practice (24%) with only slight numerical

    superiority in regard to whorl maggot and stem-

    borers. Low threshold was similar to prophylactic for

    all pests but leaffolders, while high threshold was

    similar but for leaffolders and whorl maggot. Farm-

    ers practice was only similar to prophylactic

    regarding defoliator control.In terms of yield gain from control of each pest

    group (comparing only those fields where thresholds

    were reached), all practices were statistically lower

    (206 342 kg/ha) than the full protection (729 kg/

    ha) and, with the exception of stemborers, were

    statistically undifferentiated. Yield gain from stem-

    borer control by prophylactic was superior to that of

    the farmers practice.

    Further comparisons were made regarding total

    yield over all fields. Comparing all sites and seasons,

    the prophylactic was the only treatment equal to the

    full protection (4.99 vs. 4.78 t/ha) (Table VI). Totalyield loss was 0.62 t/ha as the difference between the

    full protection and the untreated. The prophylactic

    treatment closed 66% of that yield gap. There was no

    significant difference in yield between the prophy-

    lactic, both threshold treatments, and farmers

    practice (4.49 4.78 t/ha), but all were higher than

    the untreated (4.37 t/ha).

    The results from Calauan and Guimba mirrored

    those of the overall analysis, but more treatment

    separation occurred in the high pest density sites.

    Table IV. Comparison of mean insecticide load per field between thresholds and farmers practice in four test sites, Philippines.

    Dosage load per field (kg a.i./ha)1 Farmers insecticide

    spray dosage2

    Pest Low High Farmers (kg a.i./ha)

    Site density Threshold threshold practice P F df (A)

    Zaragoza High 0.72+0.25 A a 0.39+0.13 A b 0.35+0.17 B b 0.005 3.11 52 0.20

    Koronadal High 0.62+0.21 A a 0.31+0.15 A b 0.67+0.27 A a 0.001 4.69 40 0.23

    Guimba Low 0.22+0.08 B a 0.06+0.07 B b 0.28+0.09 B a 50.0001 5.09 38 0.22

    Calauan Low 0.29+0.04 B b 0.09+0.06 B c 0.50+0.20 AB a 50.0001 7.28 42 0.23

    avg 0.46 0.21 0.45 0.22

    P 50.0001 50.0001 0.006

    F 6.13 5.23 4.96

    df 66 54 48

    1Data averaged over all fields, derived from Table III by multiplying percentage fields treated by insecticide application frequency by the

    dosage (0.4 kg a.i./ha used in thresholds and data in column (A) used for farmers. In a column, means+SEM followed by a common upper

    case letter are not significantly different (P5 0.05) by LSD test. In a row, means+SEM followed by a common lower case letter are not

    significantly different (P40.05) by LSD test. 2Dosage per application, synthetic pyrethroid insecticides not included.

    Action thresholds for chronic rice insect pests 53

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    Averaging Zaragoza wet season yield data, all

    treatments were significantly lower than the full

    protection. Yields in both the threshold treatments

    were equivalent to the prophylactic (all closing the

    yield gap 47 50%), but the farmers practice did not

    raise yield above the untreated. Dry season averageshad higher yield potential and in this case both the

    prophylactic and low threshold were equal to the full

    protection, closing the yield gap 90 and 69%,

    respectively. The high threshold and farmers prac-

    tice closed the yield gap 43 and 57%, respectively,

    and were significantly higher yielding than the

    untreated. With the first crop in Koronadal, only

    the prophylactic equalled the full protection closing

    the yield gap 81%. All the other treatments closed the

    yield gap 20 29% but were statistically similar to the

    untreated. The lower yielding second crop registered

    a higher yield gap, and all treatments were superior to

    the untreated but indistinguishable among them-selves closing the yield gap 23 49%.

    Among sites Calauan recorded the most positive

    marginal returns across treatments followed by

    Zaragoza (Table VII). There was no trend based on

    pest density. In Calauan the $48.10 marginal return

    in the high threshold treatment was worth 376 kg of

    unhusked rice. The two other sites had mostly

    negative results. Among treatments the results were

    highly varied by site with no clear best treatment

    between the threshold treatments and farmers

    practice (Table VII). The farmers practice had the

    greatest mean benefit ($5.80) but only slightly higherthan the two threshold treatments. Low threshold

    had the highest returns in Zaragoza but the results

    were not significantly different than the high thresh-

    old or farmers practice. Benefit cost ratios should be

    2.0 or above to be attractive to farmers (Smith et al.

    1989) which was only achieved in Calauan for both

    threshold treatments. In no other treatment-site

    combination did the benefit cost ratio exceed 1.5.

    4. Discussion

    4.1. Insect pests and densities

    In this 13-year study in four prominent rice

    growing areas in the Philippines, pest census and

    yield loss measurement determined that whorl

    maggot, defoliators, leaffolders, and stemborers were

    the key chronic pests. Thresholds were surpassed for

    at least one of the four pests in over three-quarters

    (79%) of fields for each crop on average. These

    figures include all the threshold characters tested but

    would have been less if only the best characters had

    been employed, lowering the should not have

    treated error rate. With the exception of defoliators

    in Calauan, all pests surpassed thresholds in eachstudy site at least once. Other rice pests rice bug,

    whitebacked planthopper, and green leafhopper

    occurred minimally; each surpassed thresholds in

    only one site. The brown planthopper never reached

    TableV.Comparisonof

    correctiveactionstakenbetweenthreshold

    sandotherpracticesdegreeofinsectcontrolandresultingyieldgain1.

    Control(%)14WAT2

    Damagedleaves

    Stemborers

    Yieldgain(kg/ha)3

    Treatment

    Whorlmaggot

    Defoliators

    Leaffolders

    (deadhearts)

    A

    verage

    Whorlmaggot

    Defoliators

    Leaffolders

    Stemborers

    Average

    Fullprotection

    51.7+4.0a

    57.7+5.1a

    80.1+4.4a

    50.2+5.2a

    59.9

    821+68a

    747+50a

    742+55a

    606+65a

    729

    Prophylactic

    34.5+4.6b

    48.1+5.1ab

    57.5+4.4b

    23.3+5.4b

    40.9

    397+78b

    246+62b

    489+57b

    237+65b

    342

    Lowthresholds

    26.4+3.9bc

    43.7+5.0b

    44.9+4.3c

    18.9+5.3bc

    33.5

    215+66b

    227+51b

    327+55b

    133+61bc

    226

    Highthresholds

    22.1+2.8c

    37.7+4.3b

    43.9+3.5c

    20.9+6.6bc

    31.2

    232+74b

    221+35b

    318+42b

    115+51bc

    222

    Farmerspractice

    16.0+4.1c

    40.9+5.1b

    31.2+5.0c

    6.8+5.6c

    23.7

    254+78b

    235+63b

    322+66b

    12+68c

    206

    P

    50.0001

    0.05

    50.0001

    50.0001

    50.0001

    50.0001

    50.0001

    50.0001

    F

    14.36

    2.68

    22.39

    11.80

    15.73

    24.10

    12.44

    16.15

    df

    285

    562

    410

    400

    261

    472

    443

    439

    1Inacolumn,m

    eans+SEM

    followedbyacommonletter

    arenotsignificantlydifferent(P40.05)byLSDtest.WAT=weeksaftertreatment.

    2B

    asedondamage.

    3Dataonlyincludefields

    wherethresholdsfor

    eachrespective

    pestwasexceeded.

    54 J. A. Litsinger et al.

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    threshold levels in a single study field, mainly due to

    resistant varieties adopted by most farmers.

    The most ubiquitous pests were stemborers, whose

    densities (2 3% damaged tillers over the entire

    crop) and mode of damage, contributed more

    significantly to yield loss than any of the other pest

    groups. The same conclusion was reached by Savary

    et al. (1994) but particularly in association with

    weeds. Stemborer damage was measured in units of

    the more important tillers rather than leaves. Eachmature tiller bears 10 18 leaves (Yoshida 1981),

    thus for the same percentage, its damage is more

    profound. Also a deadheart or whitehead is a severed

    non-bearing tiller, while damaged leaves were rarely

    entirely defoliated. In addition stemborer larvae

    infest more tillers than are manifested as withered

    tillers (unpublished data) further raising the percen-

    tage of injury.

    All four pest groups have been favoured by

    inorganic fertilizer and irrigation, cultural practices

    associated with modern varieties (Litsinger 1989).

    Stemborers reputably have been the most important

    insect pest of long-maturing, low-tillering, traditional

    rices (Cendana and Calora 1967) but their impact

    has been lessened by the earlier maturing, high-

    tillering and narrow-stemmed modern rices. It was

    surprising, therefore, that in Calauan, where many

    farmers grow longer maturing varieties, that higher

    stemborer damage did not occur. In Calauan the

    120-day varieties would allow an extra (third)

    stemborer generation to occur than is the case for

    most modern rices. Natural enemies may have been

    able to cope with this increase, whereas van der Goot

    (1925) reported that with 6 9-month traditional

    rices they usually could not.Whorl maggot and defoliators, not mentioned in

    the pre-Green Revolution literature, emerged as new

    pests. Whorl maggot, along with stemborers, were

    the only pests that averaged damage levels above the

    benchmark standards on a per-crop basis. Defoliators

    and leaffolders are probably not normally a yield

    threat in their own right due to the nature of the

    damage (Heong 1990), but there is evidence that

    defoliator injury can be significant when associated

    with whorl maggot (Litsinger 1993). Both Zaragoza

    and Koronadal had the highest combination of whorl

    maggot and defoliators, and highest pest abundance

    in general. Such densities may be related to extensive

    irrigated rice areas (Loevinsohn et al. 1988), as bothsites lie in large irrigation systems.

    4.2. Insecticide check method

    Accurate yield loss estimates formed the basis of

    threshold character evaluation. Unfortunately the

    full protection treatment, which is the core of the

    insecticide check method, only achieved the desired

    480% control with leaffolders. Control was espe-

    cially low in wet seasons due to monsoonal rainfall

    which reduced insecticide residual activity. The

    difference in control by season was most noticeable

    in stemborers (least control in the wet season).

    Typhoons were common in Luzon and when they

    struck near harvest, the most vigorous growing

    treatments (usually the full protection) were most

    prone to lodge, biasing yield loss estimates down-

    wards. Significant yield gain from thresholds, despite

    high frequencies of correct decisions not to treat

    scores, indicated that the insecticide check method is

    not a good tool to match yield loss with a particular

    pest in multipest crops such as rice.

    A further confounding effect in trying to associate

    losses with a single pest comes from synergistic losses

    from multiple pests, each at subeconomic densities,that attack jointly causing significantly higher losses

    than those caused by each acting singly (IRRI 1983,

    1984; Wu et al. 1995). Furthermore the yield loss

    contribution of each pest is significantly influenced

    Table VI. Comparison of threshold treatments to other practices in terms of yield.

    Yield (t/ha)1

    Over all sites andZaragoza3 Koronadal3

    Treatment Seasons2 Wet season Dry season First crop Second crop

    Full protection 4.99+0.13 a 5.03+0.11 a 6.17+0.13 a 5.09+0.16 a 4.83+0.11 a

    Prophylactic 4.78+0.13 ab 4.68+0.12 b 6.07+0.14 ab 4.98+0.16 ab 4.43+0.11 b

    Low thresholds4 4.61+0.14 b 4.69+0.11 b 5.87+0.16 abc 4.67+0.16 bc 4.34+0.12 b

    High thresholds5 4.49+0.14 b 4.70+0.11 b 5.62+0.13 c 4.62+0.16 bc 4.23+0.11 b

    Farmers practice 4.53+0.15 b 4.28+0.13 c 5.76+0.14 bc 4.66+0.19 bc 4.46+0.11 b

    Untreated 4.37+0.13 c 4.33+0.11 c 5.21+0.13 d 4.50+0.15 c 4.05+0.11 c

    P 0.008 0.0002 0.003 0.007 50.0001

    F 3.20 5.07 3.67 2.97 5.66

    df 359 354 371 288 380

    1In a column, means+SEM are not significantly different (P40.05) by LSD test. 2Data from 68 crops in Zaragoza, Guimba, Koronadal, and

    Calauan sites. 3Data by fields, not crop averages. 4Low level characters, thus lower threshold values for a given character. 5High level

    characters, thus higher threshold values for a given character.

    Action thresholds for chronic rice insect pests 55

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    by associations of non-insect pest crop stresses

    (Savary et al. 1994, 2000; Willocquet et al. 2000).

    Correlations of insect pest densities to yield (damage

    functions) therefore have been difficult to achieve in

    rice (Litsinger et al. 1987; Litsinger 1991).

    Large-scale field trials with 100-m

    2

    plot sizesemployed in the current study were dependent on

    natural infestations and did not result in sufficiently

    wide ranges of pest densities to derive damage

    functions. Although total yield loss was high, it was

    evenly distributed among growth stages, making

    statistical distinctions between treatments difficult.

    Therefore in future work, other yield loss assessment

    methods should be considered. Artificial infestation

    in units of individual hills can be readily achieved but

    has had little success due to extreme yield variation

    (Rubia et al. 1996). As soil fertility is highly variable

    hill to hill in transplanted rice (Dobermann et al.

    1995), larger 1 5-m2 units should tried (Litsinger1991).

    4.3. Yield loss

    Typhoon damage was prominent in Zaragoza and

    the 1978 wet season (WS) crop was totally lost and

    the data were not included as there was no way to

    measure losses from insect pests. Included, however,

    were years when significant typhoon damage oc-

    curred (1980, 1985, 1988, 1989, 1990). Some of the

    highest crop yields occurred, however, in dry seasons

    following such losses (7.18 t/ha after the 1978 WSand 7.47 t/ha after the 1988 WS), the latter year

    registering the highest yield per field of 9.47 t/ha.

    Yield was enhanced as the naturally occurring

    fertility that accumulates over time in flooded rice

    soils (Cassman et al. 1996) was not removed in the

    harvested wet season crop.

    The most severe losses occurred when insect pest

    damage was coupled with drought. Droughts

    occurred in Guimba from the frequent shut down

    of the deep well pumps as farmers could not pay

    their electricity bills. Loss was particularly exacer-

    bated in the very early maturing variety IR58

    (maturity 585 d.a.t.) which severely constrained

    crop compensation. Low losses in Calauan were

    probably due to longer maturing varieties which

    allowed greater compensation (Litsinger et al. 1987;

    Litsinger 1993). Average field maturity for Calauan

    cultivars was 119 days compared to 86 91 days at

    other sites.

    An important indirect outcome of this study was

    the contribution of on-farm yield data for the

    Philippines. As reported by Pingali et al. (1990),

    yields have continued to increase relative to those on

    research stations. Farmers yields, as determined

    from crop cuts in socioeconomic surveys in CentralLuzon and Laguna, representing three of the study

    areas (except Koronadal), increased from a mean of

    2.19 t/ha in 1966 to 3.37 t/ha in 1979, a 53% increase

    (Cordova et al. 1981). Farmers averaged 4.53 t/ha in

    TableVII.Economicanalysisofthresholdtreatmentscomparedtootherpractices

    1.

    Marginalreturnfrominsecticide($

    /ha)

    2

    Benefit:costratio

    P

    est

    Low

    High

    Farmers

    Site

    density

    Prophylactic

    Lowthre

    shold

    Highthreshold

    Farm

    erspractice

    P

    F

    df

    Prophylactic

    threshold

    thres

    hold

    practice

    Zaragoza

    H

    igh

    711.30+9.80Bb

    11.40+10

    .20Ba

    71.70+3.20Bab

    3.50

    +5.70Bab

    0.007

    4.23

    52

    0.9

    1.2

    1.0

    1.1

    KoronadalH

    igh

    733.70+29.60Cb

    717.60+13

    .50Cab

    720.90+24.90Cab

    79.10

    +5.50Ba

    0.005

    3.29

    40

    0.6

    0.6

    0.5

    0.8

    Guimba

    Low

    734.40+41.40Cb

    722.90+12

    .00Cb

    77.80+9.60Ba

    0.50

    +0.40Ba

    50.0001

    2.99

    38

    0.6

    0.4

    0.7

    1.0

    Calauan

    Low

    24.10+20.50Ab

    43.30+42

    .60Aa

    48.10+27.10Aa

    28.10

    +23.40Ab

    50.0001

    5.12

    42

    1.3

    2.1

    2.6

    1.5

    avg

    713.80

    3.58

    4.41

    5.76

    0.8

    1.1

    1.2

    1.1

    P

    50.0001

    0.004

    50.0001

    0.003

    F

    4.36

    6.34

    5.99

    3.58

    Df

    66

    66

    54

    48

    1Inacolumn,m

    eans+SEM

    followedbyacommonuppercaseletterarenotsignificantlydifferent(P40.05)byLSDtest.Inarow,means+SE

    M

    followedbyacommonlowercaseletter

    arenotsignificantly

    different(P40.05)byLSDtest.

    2Costbasisbasedonpricesin1986forinsecticide,unmilledrice$0.128/kgfarmgate,interestonmaterials60%perseason,labour8htospray1ha,labour

    $0.10/h,interestfor

    labour33%perseason,pestmonitoring60hperseasonforthresholdsand4hperseasonforfarme

    rsmonitoring.

    56 J. A. Litsinger et al.

  • 8/2/2019 Yield Loss & Action Thresholds of Chronic Insect Pests

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    the current study, a further 34% increase and double

    the 1966 pre-Green Revolution average per crop.

    Dry season yields were 12% higher than the wet

    season (excluding Koronadal which lies south of

    monsoonal influence) based on increased solar

    radiation (Yoshida 1981). Monsoon clouds particu-larly at grain filling stages can severely limit yield

    potential. Farmers responded to the higher potential

    in the dry season by increasing N rates, particularly in

    Luzon, where farmers N averaged 68 kg/ha in the

    wet season and 101 kg/ha in the dry season, a 49%

    increase (average from Guimba, Zaragoza, and

    Calauan sites). Added N has less effect in Mindanao

    where soil fertility is naturally high (farmers averaged

    35 kg N/ha with no difference between seasons).

    Differences in crop management, yield potential,

    and insect pest incidence can explain the differences

    between sites in the crops ability to compensate from

    pest injury. High compensation was observed in bothGuimba and Calauan where pest incidence was

    generally low and N inputs high. In Zaragoza under

    high pest pressure, high compensation occurred

    during the dry season, whereas in the wet season,

    the crop could not outgrow damage. In Koronadal

    pest incidence was high and compensation was not

    recorded in any crop probably as added N levels were

    too low.

    4.4. Nitrogen substitution

    The best threshold characters predicted both yieldloss and damage benchmarks 490% of occasions

    (Litsinger et al. 2005). The constraint with AT

    performance was not in choice of characters but was

    due to the poor result of the insecticide response. N

    substitution attempted a new strategy to tap the

    crops resilience to pest damage. The property of

    modern rices to compensate for high levels of pest

    damage has been overshadowed by the accomplish-

    ments in genetic resistance (Khush 1989), but both

    act in a complementary fashion. The key to resilience

    in modern rices over that of traditional rices is their

    high tillering ability. Thus if a tiller is severed by

    stemborers, neighbouring ones can compensate

    (Rubia et al. 1996). Modern rices also produce

    many more spikelets per area than traditional types

    and thus have a larger physiological sink. When a

    whitehead occurs the photosynthate can transfer to

    unfilled spikelets of an adjacent tiller. Trials showed

    compensation is enhanced by optimal crop manage-

    ment with N application at the top of the list

    (Litsinger 1993). Modern rices also do not lodge as

    easily as the tall traditional types in response to

    higher N rates.

    N substitution supplements a technology farmers

    already use (but not necessarily optimally) and doesnot have the negative effects of insecticides in terms

    of safety, environmental hazards, and impacting

    beneficial arthropods (Pingali and Roger 1995).

    The N response, however, produced mixed results.

    The applied N rate of 25 kg/ha has the potential to

    increase yield 500 kg/ha (Yoshida 1981), but sig-

    nificant yield gains only ranged from 220 to 389 kg/

    ha, less than the potential. The additional N was

    applied when a pest threshold was reached which

    may not always have been the most physiologicallyappropriate time.

    N use is a double-edged sword as overuse

    promotes pest abundance, particularly diseases (Sa-

    vary et al. 1995). Most farmers apply 70% of total N

    11 21 d.a.t., and thus overstimulate plant to plant

    competition and disease susceptibility. N broadcast

    into paddy water is lost within several weeks of

    application, and as a result only about 40% enters the

    crop (Cassman et al. 1996). Thus more frequent

    applications are generally required. Applications in

    later stages favour compensation from leaffolder and

    stemborer damage by delaying leaf senescence (Peng

    et al. 1996) but also prolongs pest attack.

    4.5. Threshold treatments compared to other practices

    The prophylactic treatment of three applications

    was designed to prevent damage from early season

    whorl maggot and defoliators as well as stemborer

    whiteheads. The total insecticide dosage of 1.3 kg

    a.i./ha was three times that of the low threshold and

    farmers practice. Due to its higher cost and only a

    slight yield benefit compared to other treatments, it

    was the lowest performing treatment economically.

    Low threshold resulted in about two-thirds of thefields being treated with an average of 1.6 applica-

    tions per crop (half that of the prophylactic). Its

    efficacy levels were statistically similar to the prophy-

    lactic against all pests but leaffolders. Yield gain was

    similar to prophylactic but equal to the other

    practices as well. Total yield and efficiency in

    insecticide usage were equal in all crops to the

    prophylactic giving better economic returns.

    The high threshold treatment resulted in only one-

    third of all fields receiving insecticide with an average

    of 1.3 applications each for a low dosage load of

    0.21 kg a.i./ha, half that of the low threshold

    treatment and one-sixth that of the prophylactic.

    Efficacy against pests suffered as a result, as its

    percentage control was equal to the prophylactic in

    only two pest groups (defoliators and stemborers).

    But yield gain was similar to the prophylactic. Total

    yield was equal to the prophylactic in most crops. Its

    economic returns were 22% better than the low

    threshold and four times better than the prophylactic.

    Overall the economic returns were similar to the low

    threshold in being acceptable in only one site.

    The farmers practice applied insecticide to a

    similar percentage of fields as the low threshold

    treatment in the high pest sites (490%). The dosageload (0.45 kg a.i./ha) was equal to the low threshold

    because of the high application frequency over all

    sites (2.3 applications) despite the lower dosage per

    application. Filipino farmers chronically underdose

    Action thresholds for chronic rice insect pests 57

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    (Litsinger et al. 1980b, 1982; Marciano et al. 1981;

    Pineda et al. 1984; Waibel 1986), and resist

    extension efforts to increase as they experienced

    dizziness and headaches upon doing so (Goodell et

    al. 1982). They resist increasing spray volume as they

    believe the crop is damaged from excessive walkingthrough the field, although research shows otherwise

    (Arida and Shepard 1987). By increasing only the

    concentration in the spray tank and spraying directly

    in front while walking, they have increased exposure.

    They believe insecticides act in the same way as

    fertilizers in that a small amount will produce some

    response. Thus they do not understand the nonlinear

    dosage mortality relationship (Litsinger et al. 1980b).

    As a result of low dosages by farmers, the quantity of

    insecticide applied per crop was similar between the

    threshold treatments and the farmers practice.

    The threshold method of weekly crop monitoring

    is designed to respond to variations in pest density,whereas farmers were often guided by a combination

    of prophylactic insecticide usage (timed to fertilizer

    application) and use of very low threshold levels such

    as the mere presence of flying moths (Bandong et al.

    2002). In Calauan, farmers applied at frequencies

    more consistent with a high pest density site. That

    site is urbanised and consequently visited more

    frequently by chemical company representatives.

    Compared to the high threshold treatment, farm-

    ers applied twice the dosage load per field with

    similar efficacy, yield gain, and total yield. The

    reason farmers insecticide practices of frequent,albeit low dosage applications, gave relative good

    yield responses is unknown. The average 0.22 kg a.i./

    ha dosage is just above threshold of the dosage

    mortality curves of most insecticides, generally

    causing 20 30% mortality (unpublished dosage trial

    data). This meant that about half of their applications

    were sublethal, but testing these dosages in the

    laboratory, Tevapunchom and Heong (1991) noted

    subtle negative effects on leaffolder development.

    Sublethal doses may have affected the adult stages of

    pests, which were not examined.

    Farmers practice outgained the high threshold

    treatment by 24% in economic returns on average

    with the exception of Calauan. The benefit cost ratio

    was similar to both threshold treatments but did not

    meet the economic standards in any one site. The

    fact that the farmers practice was uneconomical

    supports the evidence that Filipino farmers use

    insecticide to reduce risk of crop failure rather than

    optimising profit (Waibel 1986).

    The largest differences between threshold treat-

    ments and the farmers practice, were timing of

    application, dosage per application, and in the low

    pest density sites, percentage fields treated within a

    crop. On the other hand, similarities existed betweenthresholds and farmers practice in choice of in-

    secticides, and in the high pest density sites with low

    level thresholds, percentage of fields treated and

    number of applications per field.

    4.6. The future of action thresholds

    It was hypothesised that threshold characters based

    on life stages (eggs, larvae, adult moths) rather than

    damage would improve insecticide timing from

    earlier warning (Litsinger et al. 2005). This turnedout not to be true as the most effective characters,

    with few exceptions, were based on insect damage.

    The most likely reason for the poorer showing of

    insect stages was the profound effect of natural

    enemies (Ooi and Shepard 1991). Those characters

    further removed in development time, such as moths,

    from damaging larval stages proved least reliable

    probably because of the greater time for natural

    enemy activity. Stemborer egg mass characters had

    incorporated the contribution of egg parasitoids into

    the threshold but did not account for egg predators

    which can be equally effective. Whorl maggot eggs

    were the exception, producing good results, as itscolonisation generally precedes that of natural

    enemies (van den Berg et al. 1988).

    Both farmer-inspired threshold characters: (1)

    flushed moths and (2) earlier-planted fields produced

    mixed results. Moths turned out to be poor

    monitoring tools for both leaffolders and stemborers,

    for the reason just mentioned, resulting in low

    frequencies of correct decisions and high error rates.

    Characters employing monitoring of earlier-planted

    fields showed promise with whorl maggot and

    defoliators but not with the other two chronic pests.

    In the case of whorl maggot better control was relatedto application early in the crop.

    Because of the high degree of crop compensation

    inherent in high tillering and longer-maturing vari-

    eties, crop management should play a central role in

    IPM along with conservation of natural enemies.

    Despite great adoption of modern varieties, there lies

    great challenges ahead to improve crop management

    as illustrated by normally wide yield ranges in a given

    community, from 51 to 4 9 t/ha; measured in this

    as well as other studies (Pingali et al. 1990). In the

    latter study, farmers were grouped by yield, with the

    top one-third achieving yields on a par with research

    stations. Thus the current yield gap and rationale for

    extension efforts is not between farmers and

    researchers, but between the top one-third and lower

    two-thirds of farmers. The top one-third is achieving

    maximum pest compensation benefits. But the

    relationship of IPM vis-a-vis crop management

    practices is complex due to two opposing forces:

    (1) the great capacity of high tillering and longer-

    maturing rices that bolster compensation from

    damage counterbalanced by (2) the synergistic effect

    of multiple stresses in reducing yield, with each pest

    being just one stress (Litsinger 1991).

    In the monsoon season in Zaragoza (Figure 1,Table VI), due to later planting compared to

    Guimba, the crop is usually in the grain filling stage

    during the main typhoon season. The effect is to

    reduce the effectiveness of insecticide due to frequent

    58 J. A. Litsinger et al.

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    rains but farmers select longer maturing varieties

    which have longer periods of compensation. Yield is

    limited due to monsoonal clouds. Thus it is doubtful

    that improved crop management, other than select-

    ing longer maturing varieties, will bring higher

    returns. Risk of crop failure is too high for farmersto take advantage of applying higher N rates. Farm-

    ers, therefore, should strive for earlier planting

    (Savary et al. 1994). The lower yields in the wet

    season can be made up in the dry season. This is

    contrasted with the dry season with greater yield

    potential where the yield gap was wider and

    compensation was not lacking from inadequate N

    usage but from the farmers selection on earlier

    maturing varieties due to the limited water supply.

    In Koronadal it may be worthwhile for farmers to

    grow longer-maturing varieties, apply higher N rates,

    or practice better weed management. In contrast

    Calauan, a low pest density site, which has fewer cropstresses appeared to offer the best conditions for use

    of thresholds. Farmers already use high levels of N

    and good crop management in general. The agro-

    nomic feature that distinguishes Calauan is that

    farmers cultivate long maturing varieties and use of

    the dapog seedbed method. N usage averaged 73 and

    82 kg /ha in the wet and dry seasons. These compare

    well to Guimba 77 and 112 days. The benefit in

    compensation from longer-maturing varieties has

    already been shown (Litsinger et al. 1987; Litsinger

    1993). Dapog seedbed minimizes transplanting

    shock and may have helped compensate for whorlmaggot damage.

    Threshold levels will need to be locally fine tuned

    based on experience and current risk assessment: the

    better the management, the higher the thresholds.

    Risk may change from season to season even for the

    same farmer (Litsinger 1993). Leaf colour charts

    could be used to determine a crops N demand

    (Singh et al. 2002). If there are several stresses, say

    insect pests, in a given growth stage, then only one of

    them may need to be confronted, while leaving the

    more difficult-to-control to crop compensation.

    Acknowledgements

    We are duly appreciative of the generous coopera-

    tion provided by over 400 farmers in the study sites.

    Their willingness to become experimenters with the

    research teams and devote at times a tenth of their

    ricelands to trials is a testament to their desire to seek

    improvements in rice production technology. Many

    locally hired project staff were responsible for

    conducting the trials and their invaluable contribu-

    tions are acknowledged. Those assisting in Zaragoza

    were Catalino Andrion and Rodolfo Gabriel, in

    Guimba George Romero, in Calauan MarianoLeron, Eduardo Micosa, and Carlos de Castro, and

    in Koronadal Hector Corpuz, Joseph Siazon, Beatriz

    Velasco, and Anita Labarinto. Cooperation of the

    staff in the Central Luzon and Mindanao regions of

    the Philippine Department of Agriculture is highly

    appreciated.

    References

    Arida GS, Shepard BM. 1987. Walking the rice paddy for pest

    sampling does not affect yield. International Rice Research

    Newsletter 12(3):33.

    Bandong JP, Canapi BL, dela Cruz CG, Litsinger JA. 2002.

    Insecticide decision protocols: a case study of untrained Filipino

    rice farmers. Crop Protection 21:80316.

    Cassman KG, Gines GC, Dizon MA, Samson MI, Alcantara JM.

    1996. Nitrogen-use efficiency in tropical lowland rice systems:

    contributions from indigenous and applied nitrogen. Field

    Crops Research 47:112.

    Cendana SM, Calora FB. 1967. Insect pests of rice in the

    Philippines. In: Major insect pests of the rice plant. Baltimore,

    MD, USA: Johns Hopkins Press. pp 591616.

    Cordova V, Papag A, Sardido S, Yambao LD. 1981. Changes in

    practices of rice farmers in Central Luzon: 196679. In: 12th

    Annual Scientific Meeting of the Crop Science Society of the

    Philippines, Bacnotan, La Union 2224 April 1981. p 23.

    Department of Entomology, International Rice Research Institute

    1985. Insecticide Evaluation Report for 1984. Los Banos

    Philippines: IRRI. p 232. (tables 136138, figures 1423).

    Department of Entomology, International Rice Research Institute

    1988. Insecticide Evaluation Report for 1986. Los Banos,

    Philippines: IRRI. p 355. (tables 92103, figures 753).

    Dobermann A, Pampolino MF, Neue HU. 1995. Spatial and

    temporal variation of transplanted rice at the field scale.

    Agronomy Journal 58:71220.

    Dyck VA, Htun Than, Dulay AC, Salinas GD, Orlido GC. 1981.

    Economic injury levels for rice insect pests. Agricultural

    Research Journal of Kerala 19:7585.

    Goodell G. 1984. Challenges to integrated pest managementresearch and extension in the Third World: Do we really want

    IPM to work. Bulletin of the Entomological Society of America

    30:1826.

    Goodell GE, Kenmore PE, Litsinger JA, Bandong JP, dela Cruz

    CG, Lumaban MD. 1982. Rice insect pest management

    technology and its transfer to small-scale farmers in the

    Philippines. In: Report of an exploratory workshop on the role

    of anthropologists and other social scientists in interdisciplinary

    teams developing improved food production technology. IRRI

    and the Division for Global and Inter-regional Projects. Rome,

    Italy: United Nations Development Programme. pp 2541.

    Heinrichs EA. 1986. Perspectives and directions for the continued

    development of insect-resistant rice varieties. Agriculture,

    Ecosystems, and the Environment 18:936.

    Heinrichs EA, Pathak PK, Dyck VA, Chelliah S, Saxena RC,Litsinger JA. 1978. Guide to the management of insect pests of

    lowland rice in tropical Asia. In: FAO short course on integrated

    pest control for irrigated rice in south and southeast Asia,

    October 16November 14, 1978. Manila, Philippines: Bureau of

    Plant Industry.

    Heong KL. 1990. Feeding rates of the rice leaffolder, Cnaphalo-

    crocis medinalis (Lepidoptera: Pyralidae), on different plant

    stages. Journal of Agricultural Entomology 7:8190.

    Heong KL, Escalada MM. 1997. Perception change in rice pest

    management: A case study of farmers evaluation of conflict

    information. Journal of Applied Communications 81:317.

    International Rice Research Institute (IRRI) 1983. Insect combi-

    nations. In: Annual Report for 1982. Los Banos, Philippines:

    IRRI. pp 2023.

    International Rice Research Institute (IRRI) 1984. Yield lossescaused by multiple species infestations. In: Annual Report for

    1983. Los Banos, Philippines: IRRI. pp 1878.

    International Rice Research Institute (IRRI) 1985. International

    Rice Research: 25 Years of Partnership. Los Banos, Philippines:

    IRRI. p 188.

    Action thresholds for chronic rice insect pests 59

  • 8/2/2019 Yield Loss & Action Thresholds of Chronic Insect Pests

    16/17

    Kenmore PE, Litsinger JA, Bandong JP, Santiago AC, Salac MM.

    1987. Philippine rice farmers and insecticides in thirty years of

    growing dependency and new options for change. In: Tait J,

    Napompeth B, editors. Management of pests and pesticides:

    farmers perceptions and practices. Westview Studies in Insect

    Biology. London, UK: Westview Press. pp 98108.

    Khush GS. 1989. Multiple disease and insect resistance for

    increased yield stability in rice. In: Progress in irrigated rice

    research. Los Banos, Philippines: IRRI. pp 7992.

    Litsinger JA. 1989. Second generation insect pest problems on

    high yielding rices. Tropical Pest Management 35(3):23542.

    Litsinger JA. 1991. Crop loss assessment in rice. In: Heinrichs EA,

    Miller TA, editors. Rice insects: management strategies. New

    York: Springer-Verlag. pp 165.

    Litsinger JA. 1993. A farming systems approach to insect pest

    management for upland and lowland rice farmers in tropical

    Asia. In: Altieri MA, editor. Crop protection strategies for

    subsistence farmers Westview Studies in Insect Biology,

    Boulder, CO, USA: Westview Press. pp 45101.

    Litsinger JA. 1994. Cultural, mechanical, and physical control of

    rice insects. In: Heinrichs EA, editor. Biology and management

    of rice insects. New Delhi, India: Wiley Eastern Ltd. pp 54984.

    Litsinger JA, Lumaban MD, Bandong JP, Pantua PC, Barrion AT,

    Apostol RF, Ruhendi 1980a. A methodology for determining

    insect control recommendations. IRRI Research Paper Series

    No. 46:131.

    Litsinger JA, Price EC, Herrera RT. 1980b. Small farmer pest

    control practices for rainfed rice, corn, and grain legumes in

    three Philippine provinces. Philippine Entomologist (1978)

    4:6586.

    Litsinger JA, Canapi B, Alviola A. 1982. Farmer perception and

    control of rice pests in Solana, Cagayan Valley, a pre-green

    revolution area of the Philippines. The Philippine Entomologist

    5:37383.

    Litsinger JA, Canapi BL, Bandong JP, dela Cruz CG, Apostol RF,

    Pantua PC, Lumaban MD, Alviola III AL, Raymundo F,

    Libetario EM, Loevinsohn ME, Joshi RC. 1987. Rice crop lossfrom insect pests in wetland and dryland environments of Asia

    with emphasis on the Philippines. Insect Science and its

    Application 8:67792.

    Litsinger JA, Bandong JP, Canapi BL, dela Cruz CG, Pantua PC,

    Alviola AL, Batay-An III E. 2005. Evaluation of action thresh-

    olds for chronic rice insect pests in the Philippines: II. Whorl

    maggot and defoliators. International Journal of Pest Manage-

    ment.

    Loevinsohn ME, Litsinger JA, Heinrichs EA. 1988. Rice insect

    pests and agricultural change. In: Harris MK, Rogers CE,

    editors. The entomology of indigenous and naturalized systems

    in agriculture. Boulder, CO, USA: Westview Press. pp 16182.

    Marciano VP, Mandac AM, Flinn JC. 1981. Insect management

    practices of rice farmers in Laguna. Philippine Journal of Crop

    Science 6:1420.Matteson PC. 2000. Insect pest management in tropical Asian

    irrigated rice. Annual Review of Entomology 45:54974.

    Matteson PC, Gallagher KD, Kenmore PE. 1994. Extension of

    integrated pest management for planthoppers in Asian irrigated

    rice: empowering the user. In: Denno RF, Perfect TJ, editors.

    Planthoppers: Their ecology and management. New York:

    Chapman & Hall. pp 65685.

    Miyashita T. 1985. Estimation on the economic injury level in the

    rice leafroller Cnaphalocrocis medinalis Guenee (Lepidoptera

    Pyralidae). I. Relation between yield loss and injury of rice

    leaves at heading or in the grain filling perod. Japanese Journal of

    Applied Entomology and Zoology 29:736.

    Morse S, Buhler W. 1997. Integrated Pest Management Ideals

    and Realities in Developing Countries. London: Lynne Rienner

    Publ. p 166.Norton GA, Mumford JD. 1993. Decision tools for pest manage-

    ment. London: CAB International.

    Ooi PAC, Shepard BM. 1991. Predators and parasitoids of rice

    insect pests. In: HeinrichsEA editor. Biology and management of

    rice insects. New Delhi, India: Wiley Eastern Ltd. pp 5845612.

    Peng S, Garcia FV, Laza RC, Sanico AL, Cassman KG. 1996.

    Increased N-use efficiency using a chlorophyll meter on high-

    yielding irrigated rice. Field Crops Research 47: 24352.

    Pineda R, Duff B, Heinrichs EA, Carbonell P. 1984. Insect control

    practices on irrigated and rainfed rice farms in Nueva Ecija,

    Philippines. In: The consequences of small rice farm mechan-

    ization project. Los Banos, Philippines: IRRI Working Paper

    No. 102. pp 120.

    Pingali PL, Roger PA. 1995. Impact of pesticides on farmer health

    and the rice environment. Boston, USA: Kluwer Academic

    Publishers. p 664.

    Pingali PL, Moya PF, Velasco LE. 1990. The post-green

    revolution blues in Asian rice production. IRRI Social Science

    Division Papers, No. 90. pp 133.

    Pingali P, Hossain M, Gerpacio RV. 1997. Asian rice bowls: The

    returning crisis? Oxon, UK: CAB International. p 341.

    Reissig WH, Heinrichs EA, Litsinger JA, Moody K, Fiedler L,

    Mew TW, Barrion