ACLIMAS - Jordan

Yahya Shakhatreh, John Foulkes Pedro Carvalho,

Iyad Musallam, Faddel Ismail,

Yahya Bani Khalaf, Nabeel Bani Hani

SWIM - Sustainable Water Integrated

Management Demonstration Project

ACLIMAS annual meeting – Rome, 13-4 November 2014

Agenda

1. Activities implemented during 2013-2014 season

2. Project indicators

3. Plan of activities to be done

Trials

Offices

Maru Research Station Irbid, Jordan

Demonstration 2013/2014

Altitude: 590 m

Rainfall: 412 mm

Soil type: heavy clay;

available water 180 mm m-1

Monthly rainfall (mm)

Monthly mean temp. (mm)

Tillage x Wheat Cultivars

- 5 Durum wheat cultivars

- Conventional

- Zero tillage

Tillage x Barley Cultivars

- 2 Spring barley cultivars

- Conventional

- Zero tillage

Tillage x Wheat x Sowing date

- 2 Durum wheat cultivars

- Conventional

- Zero tillage

- 3 Sowing dates

Rainfed

Full irrigation

- 1st irr pre-anthesis

- 2nd irr post-anthesis

Supplemental 1

- irr pre-anthesis

Supplemental 2

- irr post-anthesis

Irrigation x Crop Species - Durum wheat and barley

- Rainfed (control)

- Full irrigation

- Supplemental irrigation

Growth stages

Leaf Chlorophyll Content

Leaf Fv/Fm

Canopy ToC (canopy Ps)

NDVI (canopy size)

Water use (gravimetric)

Greenseeker® 505

(NTech, Inc.)

SPAD-502Plus (Minolta)

Infrared Thermometer INF151 (UEI)

Fluorpen FP100 (PSI)

Demsotration Experiments - Measurements

Canopy Sensors

Greenseeker® 505 Handheld

(NTech Industries, Inc.)

NDVI

Infrared Thermometer

INF151 (UEI)

Canopy temperature

SPAD-502Plus

(Konica Minolta)

Chlorophyll content

PAR-FluorPen

FP 100-MAX-LN (PSI)

Fluorescence meter

Visual Senescence Scoring

Stay-green

Table 1. Ears m-2, grains m-2, thousand grain weight (TGW), above ground dry matter

(AGDM), grain yield and harvest index (HI) for barley CV Muta’ and wheat CV Acsad65

under rain-fed, supplemental irrigation (sup-irrig) and full irrigation (full-irrig).

Genotype Irrigation Ears

m-2

Grains

m-2

TGW

(g)

AGDM

(Mg ha-1)

Grain Yield

(Mg ha-1)

HI

Barley Rain-fed 315 4333 40.8 3.76 1.76 0.47

(Múta) sup-irrig 336 5233 44.7 4.77 2.33 0.49

full-irrig 367 6351 39.7 4.99 2.52 0.51

Average 339 5306 41.7 4.50 2.20 0.49

Wheat Rain-fed 371 5073 55.8 6.83 2.82 0.43

(ACSAD65) sup-irrig 346 7517 43.1 8.03 3.23 0.40

full-irrig 454 9854 42.0 10.46 4.10 0.40

Average 391 7481 47.0 8.44 3.38 0.41

SEDGenotype df = 10 29.1ns 375.1*** 1.32** 0.569*** 0.091*** 0.027*

SEDIrrigation df = 10 35.7ns 459.4*** 1.61** 0.697* 0.111*** 0.033ns

SEDGenotype*Irrigation df = 10 50.4ns 649.6* 2.28*** 0.985ns 0.158* 0.047ns

* for p ≤ 0.05, ** for p ≤ 0.01, *** for p ≤ 0.001 and ns for non significant result of the

ANOVA test.

Irrigation x Crop Species - Biomass and grain yield

Rainfed

Sup-Irrigation

(50 mm @ 14 d pre-anthesis)

Full-Irrigation

(50 mm @ 14 d pre-anthesis + 10 post-anthesis)

• 2 Crop species:

- Durum wheat cv ACSAD65 ~ high yield potential

- Barley cv Muta ~ drought tolerant

• Complete randomized block design (3 reps)

• Plot size - 20 m2

0.0

1.0

2.0

3.0

4.0

5.0

Barley Durum Wheat

Gra

in Y

ield

(M

G g

ha

-1) SED Gen x Irr (df 10) *

0.0

2.0

4.0

6.0

8.0

10.0

12.0

Barley Durum Wheat

AG

DM

(M

G g

ha

-1)

SED Gen x Irr (df 10) ns

Sup Irr and Full Irr increased

green canopy area and

delayed senescence to a

similar extent in barley

Full Irr showed a slight

trend for prolonged green

area compared to Supp Irr

in barley

Irrigation x Crop Species – NDVI

a)

b)

0.00

0.10

0.20

0.30

0.40

0.50

0.60

0.70

0.80

0.90

105 115 125 135 145 155 165

ND

VI

DAE

Full irr Wheat

Rainfed Wheat

Supp irr Wheat

0.00

0.10

0.20

0.30

0.40

0.50

0.60

0.70

0.80

0.90

105 115 125 135 145 155 165

ND

VI

DAE

Full irr Barley

Rainfed Barley

Supp irr Barley

Anthesis

Anthesis

Barley

Durum wheat

NDVI = [R900-R680]/[R900+R680]

19

19.5

20

20.5

21

21.5

RF S-Irr F-Irr RF S-Irr F-Irr

Barley Wheat

Can

op

y To

C

Irrigation x Crop Species – Canopy temperature

Rainfed

Sup-Irrigation

Full-Irrigation

Cooler canopies in

barley with Sup-Irr

and Full-Irr correlated

with grain yield

responses

SED Gen x Irr (df 10) *

Post-anthesis

Treatment BY (Kg/ha) GY (Kg/ha)

Water

Consumption

(mm)

WUE

(Kg/m3)

BY

WUE

(Kg/m3)

GY

Rainfall 7026 1532 244.80 2.87 0.63

Supp.Irrigation 8677 2054 295.80 2.93 0.69

Full Irrigation 8822 2245 341.30 2.58 0.66

Treatment BY (Kg/ha) GY (Kg/ha) Water

Consumption

(mm)

WUE

(Kg/m3)

BY

WUE

(Kg/m3)

GY

Rainfall 5825 2502 260.50 2.24 0.96

Supp. Irrigation 7407 2858 301.80 2.45 0.95

Full Irrigation 8877 3731 349.40 2.54 1.07

Table 2. Barley biological yield (BY) , grain yield (GY) and water use efficiency (WUE) for different irrigation levels.

Table 3. Wheat biological yield (BY) grain yield (GY) and water use efficiency (WUE) for different irrigation levels.

Irrigation x Crop Species – Water Use and WUE

Water uptake to 60 cm soil depth similar in barley and durum wheat

Trend for increased water productivity with Supp-Irr in durum wheat

Irrigation x Crop Species - Summary

- Supplemental-Irrigation:

Grain yield by 32.3% in barley & 14.6% in durum wheat;

Full-Irrigation:

Grain yield by 43.1% in barley & 45.3% in durum wheat;

- Trend for improved biomass WUE in Sup-Irr in durum wheat.

- SI more effective pre anthesis in barley but similarly effective pre-

and post anthesis in barley and wheat.

- Barley more drought tolerant than durum wheat.

- Spectral reflectance (NDVI) useful in optimising timing of SI.

Tillage x Wheat cultivar – Biomass and GY

Table 4. Ears m-2, grains m-2, thousand grain weight (TGW), above ground dry matter (AGDM), grain y ield and harvest

index (HI) for Wheat CVs: ACSAD1187, ACSAD65, Cham1, Hurani and Umqais growing under conventional tillage (CT)

and zero tillage (ZT).

Tillage Irrigation Ears

m-2

Grains

m-2

TGW

(g)

AGDM

(Mg ha-1)

Grain Yield

(Mg ha-1) HI

CT ACSAD118

7 349 7180 35.5 8.33 2.57 0.31

ACSAD65 347 5850 33.5 6.79 1.90 0.28

Cham1 354 6760 28.9 7.89 1.94 0.25

Hurani 458 6392 27.8 7.19 1.77 0.25

Umqais 268 4694 39.3 6.96 1.82 0.26

Average 355 6175 33.0 7.43 2.00 0.27

ZT ACSAD118

7 416 7711 33.6 8.86 2.59 0.29

ACSAD65 384 6805 33.8 8.08 2.26 0.28

Cham1 506 7719 27.2 8.16 2.06 0.25

Hurani 381 6413 30.3 7.41 1.94 0.26

Umqais 473 7385 27.3 8.30 2.01 0.24

Average 432 7206 30.5 8.16 2.17 0.27

SEDTillage (df) 20.1ns (2) 340.5ns (2) 1.31ns (2) 0.340ns (2) 0.042* (2) 0.011ns (2)

SEDGenotype (df) 44.2ns

(16) 550.5ns (16) 2.42* (16) 0.468ns (16) 0.159** (16) 0.015* (16)

SEDTillage*Genotype (df) 59.4*

(18) 775.1ns (16.9) 3.33ns (17.7) 0.682ns (15.1) 0.205ns (17.2) 0.047ns (15.0)

Tillage x Wheat cultivar – Biomass and GY

0

0.5

1

1.5

2

2.5

3

AC

SAD

11

87

AC

SAD

65

Ch

am1

Hu

ran

i

Um

qai

s

AC

SAD

11

87

AC

SAD

65

Ch

am1

Hu

ran

i

Um

qai

s

CT ZT

Gra

in y

ield

(M

g h

a-1

)

0

2

4

6

8

10

AC

SAD

11

87

AC

SAD

65

Ch

am1

Hu

ran

i

Um

qai

s

AC

SAD

11

87

AC

SAD

65

Ch

am1

Hu

ran

i

Um

qai

s

CT ZT

AG

DM

(M

g h

a-1

)

AGDM

(Mg ha-1)

Grain Yield

(Mg ha-1)

SEDTillage (df) 0.340ns (2) 0.042* (2)

SEDGenotype (df) 0.468ns (16) 0.159** (16)

SEDTillage*Genotype (df) 0.682ns (15.1) 0.205ns (17.2)

Above-ground biomass Grain yield

Tillage x Wheat cultivar – NDVI

LSD 5%

Tillage Ears m-2

Grains m-2

TGW (g)

AGDM (Mg ha-1)

Grain Yield (Mg ha-1)

HI

CT 355 6175 33.0 7.45 2.00 0.27

ZT 432 7206 30.5 8.16 2.17 0.27

SEDTillage (2) 20.1 ns 340.5ns 1.31 sns 0.340 ns 0.042 * 0.011ns

Tillage x Wheat cultivar – Water Use and WUE

Tillage Wheat Varity BY

(Kg/ha)

GY

(Kg/ha)

Water

Consumption

(mm)

WUE

(Kg/m3)

BY

WUE

(Kg/m3)

GY

ZT Hurani 5995 1734 264.2 2.27 0.66

CT Hurani 4982 1589 266.6 1.87 0.60

ZT Cham 1 5999 1897 267.2 2.25 0.71

CT Cham 1 5565 1686 268.3 2.07 0.63

ZT Umqais 6799 1842 265.6 2.56 0.69

CT Umqais 5922 1553 266.4 2.22 0.58

ZT ACSAD1187 7182 2338 265.4 2.71 0.88

CT ACSAD1187 6742 2275 267.2 2.52 0.85

ZT ACSAD65 6512 2027 263.4 2.47 0.77

CT ACSAD65 5604 1675 266.5 2.10 0.63

ZT Mean 6497 1968 265 2.45 0.74

CT Mean 5763 1756 267 2.15 0.66

Biological yield (BY), grain yield (GY) and water use efficiency (WUE) for five wheat cultivars under conventional tillage (CT) and zero tillage (ZT).

Tillage x Wheat cultivar-

summary

0

2

4

6

8

Mùta Rum Mùta Rum

CT ZT

AG

DM

Mg

ha

-1Tillage x Barley cultivar – AGDM and Grain yield

0

2

4

Mùta Rum Mùta Rum

CT ZT

Gra

in Y

ield

Mg

ha

-1AGDM

(Mg ha-1) Grain Yield (Mg ha-1)

SEDTillage (2) 0.09* 0.16ns

SEDGenotype (4) 0.29* 0.18*

SEDTillage*Genotype (4) 0.31ns 0.24ns

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

70 80 90 100 110 120 130 140

ND

VI

DAE

CT Mu`ta

CT Rum

ZT Mu`ta

ZT Rum

Anthesis

Tillage x Barley cultivar – NDVI

Tillage Ears m-2

Grains m-2

TGW (g)

AGDM (Mg ha-1)

Grain Yield (Mg ha-1)

HI

CT 270 6392 49.6 5.67 3.17 0.56

ZT 332 7063 49.2 6.09 3.48 0.57

SEDTillage (df) 15.5* (2) 345.6ns (2) 0.49ns (2) 0.09* (2) 0.16ns (2) 0.026ns (2)

• Canopy expansion similar pre-

antheis in ZT compared to CT

• Onset of canopy senescence

occurred later in CT than ZT

Tillag

e

Barle

y

Varity

BY

(Kg/ha

)

GY

(Kg/ha)

Water

Use(mm

)

WUE

(Kg/m3) BY

WUE

(Kg/m3)

GY

ZT Muta’ 8326 2767 263.2 3.16 1.05

CT Muta’ 9288 2590 265.6 3.50 0.98

ZT Rum 10491 3280 266.7 3.93 1.23

CT Rum 9473 2745 266.3 3.56 1.03

Biological yield (BY) , (GY) and water-use efficiency (WUE) for Barley CVs: Muta’ and Rum growing under conventional tillage (CT) and zero tillage (ZT).

Tillage x Barley cultivar – Water Use and WUE

Tillage x Wheat x Sowing date – Biomass and GY Table7. Ears m-2, grains m-2, thousand grain weight (TGW), above ground dry matter (AGDM), grain yield and harvest index (HI) for wheat CVs: ACSAD65 and Hurani growing under conventional tillage (CT) and zero tillage (ZT) at three sowing dates: Early (14/11/2013), Mid (21/12/2013) and late (14/1/2014).

Tillage Genotype Sowing Ears

m-2

Grains

m-2

TGW

(g)

AGDM

(Mg ha-1)

Grain Yield

(Mg ha-1) HI

CT ACSA

D65 Early 226 3434 54.6 5.08 1.87 0.37

Mid 338 5492 37.8 7.94 2.07 0.27

Late 174 2056 62.6 3.39 1.27 0.37

Hurani Early 230 3407 52.8 5.35 1.79 0.34

Mid 297 4894 40.6 6.73 1.98 0.30

Late 149 1516 59.2 2.43 0.88 0.37

Average 236 3467 51.2 5.15 1.64 0.34

ZT ACSA

D65 Early 251 2280 61.6 3.77 1.37 0.36

Mid 355 5444 36.0 7.31 1.97 0.27

Late 221 2473 55.9 3.64 1.32 0.36

Hurani Early 294 3533 41.4 4.63 1.49 0.32

Mid 349 4411 37.0 6.54 1.63 0.25

Late 194 2282 53.2 3.56 1.21 0.35

Average 277 3404 47.5 4.91 1.50 0.32

SEDTillage (df) 1.9*** (2) 160.0ns (2) 3.89ns (2) 0.166ns (2) 0.052ns (2) 0.012ns (2)

SEDGenotype (df) 12.7ns (4) 295.4ns (4) 0.90* (4) 0.412ns (4) 0.156ns (4) 0.008ns (4)

SEDSowing (df) 22.8*** (16) 309.6*** (16) 2.26*** (16) 0.466*** (16) 0.138*** (16) 0.016*** (16)

SEDTillage*Genotype (df) 12.8ns (4.2) 336.0ns (5.71) 3.99* (2.2) 0.444ns (5.13) 0.164ns (4.83) 0.014ns (3.9)

SEDTillage*Sowing (df) 26.4ns (16.2) 391.6ns (17.5) 4.69ns (4.1) 0.563ns (17.9) 0.168ns (18.0) 0.022ns (13.9)

SEDGenotype*Sowing (df) 29.2ns (20.0) 463.7ns (15.8) 2.76* (18.9) 0.678ns (16.9) 0.223ns (13.2) 0.021ns (19.7)

SEDTillage*Genotype*Sowing (df) 39.4ns (19.0) 607.0ns (21.5) 5.44ns (6.9) 0.881ns (21.1) 0.279ns (19.4) 0.030ns (19.8)

0

2

4

6

8

Early Mid Late Early Mid Late

ACSAD65 Hurani

AG

DM

(M

g h

a-1)

0

2

4

6

8

Early Mid Late Early Mid Late

ACSAD65 Hurani

AG

DM

(M

g h

a-1

)Tillage x Wheat x Sowing date – Biomass and GY

CT ZT SED Tillage x Sowing (df 4) ns

ZT

0

0.5

1

1.5

2

2.5

Early Mid Late Early Mid Late

ACSAD65 Hurani

Gra

in Y

ield

(M

g h

a-1

)

0

0.5

1

1.5

2

2.5

Early Mid Late Early Mid Late

ACSAD65 Hurani

Gra

in Y

ield

(M

g h

a-1

)

CT ZT SED Tillage x Sowing (df 4)ns

a)

b)

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

02-Mar 12-Mar 22-Mar 01-Apr 11-Apr 21-Apr 01-May 11-May

ND

VI

Hurani

CT - SD1 CT - SD2

CT - SD 3 Zt - SD 1

Zt - SD2 Zt - SD3

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

02-Mar 12-Mar 22-Mar 01-Apr 11-Apr 21-Apr 01-May 11-May

ND

VI

Acsad 65

CT - SD1 CT - SD2

CT - SD3 Zt - SD1

Zt - SD2 Zt - SD 3

Tillage x Wheat x Sowing date – NDVI

• Canopy expansion enhanced

pre-antheis in ZT compared to CT

with later sowing

• Onset of canopy senescence

delayed in CT compared to ZT

with relatively later sowing

Tillage Sowing

date

BY

(Kg/ha)

GY

(Kg/ha)

Water Use

(mm)

WUE

(Kg/m3) BY

WUE

(Kg/m3)GY

ZT Early 6440 1733 264.2 2.44 0.66

ZT Mid 5972 1773 222.6 2.69 0.80

ZT Late 4232 1283 166.6 2.54 0.77

Ave 2.55 0.74

CT Early 5733 1580 266.6 2.15 0.59

CT Mid 5536 1607 218.4 2.54 0.74

CT Late 3378 1139 173.8 1.95 0.66

Ave 2.2 0.66

Tillage x Wheat x Sowing date – Water Use and WUE

Tillage x Wheat x Sowing date - Summary

- Late sowing date:

AGDM, Grain yield and Grains m-2

- Zero Tillage:

Early sowing — slightly AGDM, Grain yield and Grains m-2

Mid sowing — AGDM, Grain yield and Grains m

ZT, Early to Mid Sowing and Improved Cultivars

reveled important for wheat yield stability under

rainfed conditions Jordan

Location: Amman, April 2014

Conveyors: John Foulkes, Pedro Carvalho, Reshmi Gaju

and Yahya Shakhatreh

Days: 3

Participants: 26

Physiology Workshop: Application of physiology

in predictive agronomy and plant breeding

Uni Nottingham & NCARE - Workshop 2014

EU ACLIMAS Workshop: Application of physiology in predictive agronomy and plant breeding

Day 1 Monday 14 April 2014

10.00 - 10.45 Introduction to Resource Use Efficiency John Foulkes

10.45 - 11.30 Crop Development:

- Definitions (Zadoks); effects of ppd and vrn Reshmi Gaju

Coffee break 11.30 - 12.00

12.00 -13.00 EU ACLIMAS Demonstration experiments Yahya Shakhatreh & Pedro Carvalho

13.00 - 14.00 Lunch

14.00 -15.00 Optimising resource-use efficiency: Roots:

- Root Architecture traits and measurements Pedro Carvalho

- High throughput root phenotyping John Foulkes

EU ACLIMAS Workshop: Application of physiology in predictive agronomy and plant breeding

Day 2 Tuesday 15 April 2014

10.00 - 11.30 Optimising Resource use efficiency: Canopy I

- Water and radiation use: traits and measurements Pedro Carvalho

- Applications in agronomy and plant breeding John Foulkes

11.30 - 12.00 Coffee

12.00 -13.00 Optimising Resource use efficiency: Canopy II

- N use: traits and measurements Reshmi Gaju

- Applications in agronomy and plant breeding John Foulkes

13.00 - 14.00 Lunch

14.00 - 14.50 Break out sessions:

Breakout session 1 Water; Breakout session 2 Nitrogen

14.15 -1500 Reports back to group

Day 3 Field Day, Maru Research Station, Jordan

On-ground Implementation 2013/14

Number : 10 Farmers Area: 20 ha

No Name Region Crop Variety Tillag

e

BYLD(kg/

ha

GYLD(kg/

ha

Area

(ha)

1 Atef mahmood Al –

omari Irbed Wheat

Acsd

1187 ZT 2341 726 1

CT 2269 682

2 Abed Amajeed

Ubedat Bani kananeh Wheat

Acsd

1187 ZT 6423 2422 1.6

CT 6006 2236

3 Mohamed Al wardat Bani obaed Barley Rum ZT 2070 784 2.7

CT 2070 755

4 Ahmed kasaleh Ramtha Barley Muta ZT 3050 650 2.7

CT 2840 600

5 Ibrahem Kasaleh Ramtha Vetch Local ZT 1500 300 2.0

CT 1490 300

6 Mohamed amen

Ababneh Irbed Vetch Local ZT 1730 353 1

CT 1355 285

Total 11

Table 9. Improved varieties and conservation agriculture

Name Region Crop Variety BYLD(kg/ha GYLD(kg/ha Area(kg/ha)

1 Ali Mohamed

nahar

Bani

kananeh Wheat

Acsad

1105 6284 2582

2.7

5570 2245

Mohamad hamed

zazeh Irbed Wheat

Acsad

1275 5378 2134

2.5

2 4807 1940

Kaed Mufleh

Ubedat

Bani

kananeh Wheat

Acsad

1103 5775 2390

2.7

3 5401 2309

Udi Kaswneh Bani obaed Barley

Muta+Adr

uh 1820 450

1.2

4 1630 370

Total 9.1

Table 10. Full package of integrated cropping practices with improved varieties.

Summary

•ZT GY and BY for both Wheat and Barley.

•Low yields in GY and BY for vetches and barley in

Ramtha and Baniobiad districts due to the shortage in

rainfall and erratic distribution.

•Full package GY and BY for both Wheat and Barley.

On-ground Implementation 2013/14

Field days 2013/2014

•Planting dates and fertilizer application , February 12, 2014 Participants : 35 •Wheat and barley under full-package , April 36, 2013 Participants: 39

Indicators WP1 (Stat UP)

No. Item Status

1 Car Purchased

2 physiological/crop scanning instruments (SPAD 502

meter, Fluorpen FP100 and Greenseeker

Purchased

3 Weather station Purchased

Indicators WP2 (DEMONSTRATION)

No. Type Status

1 Demonstration 1 – Irrigation x Crop Species

(wheat and barley): three irrigation levels with one

variety for each crop (6 combinations).

Implemented

2 Demonstration 2 – Tillage x cultivar durum Wheat:

five varieties with two tillage systems (10

combinations).

Implemented

3 Demonstration 3 – Tillage x cultivar Barley: two

varieties with two tillage systems (4

combinations).

Implemented

4 Demonstration 4 – Tillage x Cultivar Durum wheat

x Sowing date : three sowing dates with two

varieties and two tillage systems (12

combinations).

Implemented

Indicators WP3 (Implementation) On-Ground

Type 1st year 2nd year Total

•Improved

varieties and

conservation

agriculture

•Full package

of integrated

cropping

practices with

improved

varieties

27 ha and (12

farmers)

20 ha and (10)

farmers 47 ha and( 22

farmers )

Indicators WP4 (Sustainability )

• ACLIMAS – SUSTAINABILITY ANALYSIS – LOCAL ISSUES ELICITATION. • Daniel 2 visits

WP5 (Training and Dissemination)

N

o

Name of workshop 2nd year 3rd year Total

1 Canopy Sensor 25

76

2 Conservation

Agriculture

24

3 Application of

physiology in plant

breeding

26

WP5 (Training and Dissemination) field days

No 2nd year 3rd year Total

1 31

35 275

Participants 2 20

39

3 70

4 80

WP5 (Training and Dissemination)

•Produced a video film

• Expo Di Milno : submitted an application about ACLIMAS – Jordan Case

Plan of activities to be done 2014 - 2015

No Title of

training /

seminar

Location Dates lecturers Particip

ants

1 Maximizing

productivity

of wheat and

barley under

dry- land

systems

NCARE

headquarters

and Maru

station,

Jordan

1st

week of

Feb

NCARE and

ICARDA

scientists

30

2 *2 seminars

No. Title of field day Objective Target Group Location Period Number of

participants

1 Seed treatment and

seeders calibration

Learning farmers

the optimum

seeding rate and

planting dates

Farmers Irbid 1st week of

January

25

2 Weed control To show

participants weed

management under

different agricultural

systems

Farmers and

extension

agents,

Maru station and

farmers fields

1st week Feb 30

3 Performance and

evaluation of applied

technologies

To present the

performance of

introduced varieties

and management

practices

Farmers,

extension

agents,

researches and

decision makers

Maru station and

farmers fields

3rd week

March

30

4 Open field days 1st May

• Demonstration 1 Irrigation x Crop Species (wheat and barley): three irrigation levels with one variety for each crop. • Demonstration 2 – Tillage x cultivar durum Wheat: five varieties with two tillage systems. • Preparing manuscripts to published in good refereed journals (at least two).

We will plant the following demonstrations (experiments)at Maru station :

SA ?

Guidelines

Guidelines

• Advantage of ZT and improved varieties under dryland system. • Planting dates of wheat (early to mid ) using ZT. • Full-package practices

Management Guidelines

• Expt1 : overall full-irrg 3.53 > sup-irrg 3.00 > rainfed > 2.58 Mg Ha-1. Interaction between year and crop species; further experiment required to definitive guidelines

• Expt 2 : Increase in yield with zero tillage; durum wheat cultivar variety recommendations; no durum wheat cultivar interaction with tillage system

• Expt 3: Year x tillage x barley cultivar significant ; so suitabilities to tillage system may be identified.

• Exp4 :Tillage x sowing interaction significant., so optimum sowing date for conventional and zero tillage can be predicted