Upload
kumarmvsn
View
216
Download
0
Embed Size (px)
Citation preview
7/21/2019 112.full.pdf
1/9
2010 Poultry Science Association, Inc.
2010 J. Appl. Poult. Res. 19:112120
doi:10.3382/japr.2009-00070
The effects of altering diet formulationand manufacturing technique on pellet quality
N. P. Buchanan, K. G. S. Lilly, C. K. Gehring, and J. S. Moritz1
Division of Animal and Nutritional Sciences, West Virginia University, Morgantown 26506
Primary Audience: Feed Mill Managers, Nutritionists, Researchers
SUMMARY
Least-cost diet formulations and pellet mill operating techniques vary widely. As a result,
pellet quality is often inconsistent. Past research has associated pellet quality changes with feed
formulation and manufacturing techniques. However, the interaction between the 2 factors has
rarely been explored. The objective of the current study was to evaluate the effects of altering
a least-cost diet (LC) formulation and altering manufacturing techniques on pellet process-
ing variables and quality. Generally, pellet quality improves with higher levels of protein and
moisture. Therefore, increased levels of CP and moisture were added to LC broiler starter and
grower formulations to compose a research-based (RB) formulation. The LC and RB formula-
tions were pelleted using 2 manufacturing techniques, a thin die with a fast production rate
(TF) or a thick die with a slow production rate (TS). During manufacture of the starter diets,
the RB formulation improved the pellet durability index (PDI) and modified PDI (MPDI) whiledecreasing pellet mill relative electrical energy usage (P 0.05) compared with the LC formu-
lation. The TS technique increased PDI and MPDI while decreasing production of fines (P
0.05) compared with the TF technique. During manufacture of the grower diets, the RB for-
mulation and TS technique resulted in decreased production of fines (P 0.05) compared with
the LC formulation and TF technique. A significant interaction observed for PDI and MPDI of
the grower diets indicated that the RB formulation improved pellet quality and would be even
more beneficial if a mill used a TF technique (P 0.05). We conclude that diet formulation
and manufacturing technique are, in fact, linked and must be considered when attempting to
optimize pellet quality.
Key words: diet formulation, manufacturing technique, pellet quality, broiler
DESCRIPTION OF PROBLEM
The pelleting process has been defined as
the agglomeration of small particles into larger
particles by means of a mechanical process in
combination with moisture, heat, and pressure
[1]. This combination results in thermomechani-
cal changes in feed constituents and an improve-
ment in feed form. The benefits associated with
pelleting include improved animal performance
and feed handling and decreased ingredient seg-
regation and feed spillage [2]. However, the feed
manufacturing process is costly both in capital
investment and in execution [3].
To minimize costs, the majority of production
animal diets are formulated on a least-cost basis.
1Corresponding author: [email protected]
7/21/2019 112.full.pdf
2/9
Least-cost diets allow nutritionists to minimize
feed ingredient costs by using a variety of ingre-
dients to meet or exceed the nutrient needs of the
animal. However, the use of some ingredients,
particularly by-product meals and alternative
grain sources, may inadvertently affect pellet
quality. For example, inclusion of inexpensive
by-product meals, such as dried distillers grains
with solubles [4] and oat hulls, has been shown
to decrease pellet quality [5]. In contrast, inclu-
sion of more expensive feed ingredients, such
as cellulose, soy protein isolate, and soybean
meal, has been shown to improve pellet quality
[5, 6]. These findings are particularly important
because nutritionists that formulate solely on a
least-cost basis may inadvertently decrease pel-let quality.
In addition to diet formulation, pellet qual-
ity is affected by manufacturing technique.
Currently, there are no industry standards for
manufacturing pellets. Each mill may operate
using different diet formulations, ingredient
particle sizes, steam pressures, conditioning
temperatures, and production rates [3]. For
example, in a survey conducted by Moritz [3],
commercial feed mills in the eastern UnitedStates used conditioning temperatures ranging
from 68 to 91C (155 to 195F), die length-to-
die hole diameter ratios (LDR) ranging from
6.5 to 13.1, and production rates ranging from
907 to 14,882 metric tons/wk (1,000 to 16,400
tons/wk). Variation in all these factors may af-
fect the amount of heat and moisture that feed
will accrue through the pelleting process. As a
result, thermomechanical changes in nutrients,
such as starch gelatinization and protein dena-turation, are widely variable. Inconsistency in
manufacturing technique, coupled with con-
stantly changing diet formulations, makes pre-
dicting and optimizing pellet quality difficult.
The objective of the current study was to pro-
vide a general recommendation for optimizing
the pelleting process based on diet formulation
and manufacturing technique.
MATERIALS AND METHODSA least-cost (LC) starter diet and an LC
grower diet were formulated using Cobb-Vant-
ress [7] nutrient recommendations for broilers
(Table 1). Based on previous results [5], 2 ad-
ditional diets were formulated, a research-based
(RB) starter diet and a RB grower diet (Table
1). The RB diets were formulated to have 3.87
percentage points more CP than the LC diets and
were supplemented with moisture (tap water) to
a calculated conditioned mash endpoint of 17%
[8]. The endpoint value was based on the con-
ditioned mash moisture recommendations of 16
to 18% established by Turner [9]. The LC and
RB starter diets and the LC and RB grower diets
were isocaloric and contained similar digestible
amino acid percentages [10]. It was necessary to
use digestible amino acids because these diets
were destined to be fed to broilers. If formula-
tion based on digestible amino acids were not
used, any improvements in growth could be at-tributed to changes in amino acid digestibility
rather than treatment differences.
All diets contained feedstuffs common to
commercial formulations, including corn, soy-
beans, dried distillers grains with solubles, wheat
middlings, and a blend of animal and vegetable
fat. For the LC and RB diets, a common inclu-
sion level of dried distillers grains with solubles,
wheat middlings, and animal-vegetable fat was
used to prevent any confounding effect that feedingredient might have on pellet quality.
The LC and RB diets were arranged in a fac-
torial design with 2 manufacturing techniques:
a thick die and a slow production rate (TS) or
a thin die and a fast production rate (TF). This
arrangement comprised 4 experimental treat-
ments: a RB diet manufactured using TS (RB-
TS); a RB diet manufactured using TF (RB-TF);
an LC diet manufactured using TS (LC-TS); and
an LC diet manufactured using TF (LC-TF).For the starter diets, a 1,089-kg (2,400-lb)
batch of each diet formulation was mixed using
a single-screw vertical mixer [11] and divided
into eight 136-kg (300-lb) aliquots. For each
diet formulation, 4 of the 8 aliquots were manu-
factured using TS and the other 4 aliquots were
manufactured using TF. Treatments were manu-
factured in a Latin square design over a 4-d pe-
riod; therefore, each treatment was replicated 4
times. Grower diets were mixed, allotted, and
manufactured in a similar manner, with the ex-
ception that 1,996 kg (4,400 lb) of LC and RB
was divided into 250-kg (550-lb) aliquots. The
starter diets were manufactured approximately
2.5 wk before the grower diets.
BUCHANAN ET AL.: OPTIMIZING PELLET QUALITY 113
7/21/2019 112.full.pdf
3/9
Tap water was added before manufacture by
using a garden sprayer set to deliver a fine mist.All ingredients were conditioned using a short-
term conditioner [0.31 1.30 m (1.02 4.25 ft),
10 s retention time] set at a temperature of 82C
(180F) and a pressure of 262 kPa (38 psig).
Time needed to reach the optimal conditioning
temperature was standardized. The LC-TS and
RB-TS treatments were manufactured using a
40-horsepower California pellet mill [12] with a
4.76 44.96 mm (3/16 1.77 in.) die. The LDR
was 9.44. The LC-TF and RB-TF treatmentswere manufactured using the same 40-horse-
power California pellet mill [12] with a 4.76
38.10 mm (3/16 1.50 in.) die. The LDR was
8.00. After pelleting, each treatment was cooled
for 1.25 min in a horizontal belt cooler [13] us-
ing forced ambient air. The mean ambient tem-peratures in the mill during manufacture of the
starter and grower diets were 15C (58F) and
6.5C (44F), respectively.
After pelleting of each treatment, production
rate (metric tons/h) and relative electrical energy
usage (REE) of the conditioner and pellet mill
[kilowatt hours (kWh)/metric ton] were calcu-
lated. Mash, hot pellet, and cool pellet samples
were taken from each treatment and tested for
moisture content [14] on the day of manufac-ture. Moisture content of cool pellet samples
was measured again after a 3-d storage at ap-
proximately 21C (70F). Cool pellet samples
from each treatment were used to determine the
JAPR: Research Report114
Table 1. Diet formulations and nutrient parameters
Item
Broiler starter diet Broiler grower diet
Least cost Research based Least cost Research based
IngredientCorn 55.03 46.15 61.84 53.30
Soybean meal (48%) 26.75 34.92 19.55 27.38
Distillers grains with solubles 5.00 5.00 5.00 5.00
Wheat middlings 5.00 5.00 5.00 5.00
Meat and bone meal 2.53 4.63 3.00 5.04
Animal-vegetable fat 2.00 2.00 2.00 2.00
Dicalcium phosphate 1.23 0.69 1.02 0.50
Limestone 0.79 0.52 0.78 0.53
Lysine 0.41 0.06 0.55 0.23
Methionine 0.36 0.31 0.38 0.33
Salt 0.34 0.31 0.26 0.22
NB3000
1
0.25 0.25 0.25 0.25Threonine 0.18 0.03 0.23 0.09
Coban 602 0.08 0.08 0.08 0.08
BMD3 0.05 0.05 0.05 0.05
Calculated nutrient
ME, kcal/kg 3,028 3,028 3,172 3,172
CP, % 21.50 25.37 19.50 23.37
Supplemental moisture, % 2.02 1.64
Calculated digestible amino acid
Lysine 1.33 1.33 1.25 1.25
Methionine 0.69 0.69 0.68 0.68
Threonine 0.85 0.85 0.80 0.80
TSAA 1.03 1.03 1.01 1.01
1Supplied per kilogram of diet: manganese, 0.02%; zinc, 0.02%; iron, 0.01%; copper, 0.0025%; iodine, 0.0003%; selenium,0.00003%; folic acid, 0.69 mg; choline, 386 mg; riboflavin, 6.61 mg; biotin, 0.03 mg; vitamin B6, 1.38 mg; niacin, 27.56 mg;pantothenic acid, 6.61 mg; thiamine, 2.20 mg; menadione, 0.83 mg; vitamin B12, 0.01 mg; vitamin E, 16.53 IU; vitamin D3,2,133 ICU; vitamin A, 7,716 IU.2Active drug ingredient monensin sodium [60 g/lb (90 g/ton inclusion), Elanco Animal Health, Indianapolis, IN], as an aidin the prevention of coccidiosis caused byEimeria necatrix,Eimeria tenella,Eimeria acervulina,Eimeria brunette,Eimeriamivati, andEimeria maxima.3Bacitracin methylene disalicylate [50 g/lb (50 g/ton inclusion), Alpharma, Fort Lee, NJ], for increased rate of BW gain andimproved FE.
7/21/2019 112.full.pdf
4/9
bulk density (kg/m3), percentage of fines (%),
pellet durability index (PDI), and modified PDI
(MPDI) [15]. Starch gelatinization and protein
denaturation were determined on mash and cool
pellet samples [16].
To simulate the stressors that feed might in-
cur during transportation and conveyance, all
pelleted feed was divided into 91-kg (200-lb)
aliquots and remixed for 2 min in a single-screw
vertical mixer [11]. Through trial and error, the
combination of 91-kg (200-lb) aliquots of feed
and a 2-min remix time was found to produce
a pellet-to-fine ratio very similar to the MPDI
values. Samples of remixed pellets were used to
determine percentage of remixed fines (%) and
pellet length. For starter diets, all pelleted feedwas crumbled after remixing. For grower diets,
the feed remained in pelleted form after remix-
ing.
Data were analyzed using a Latin square de-
sign. Treatments were blocked by day of manu-
facture and run order. Two separate statistical
analyses were performed. A diet formulation
manufacturing technique factorial analysis
was performed to explore the main effects and
all possible interactions. Additionally, multiplecomparisons were performed. Significant differ-
ences were further explored using Fishers LSD
test. All statistics in experiments were calculat-
ed using the GLM procedure of the Statistical
Analysis System [17]. Alpha was designated as
0.05.
RESULTS AND DISCUSSION
Manufacturing Variables
Manufacturing data for the starter and grower
pelleting phases are represented in Tables 2 and
3, respectively. By design, manufacturing tech-
nique significantly affected production rate. The
use of TS resulted in slower production rates
compared with the use of TF for the starter and
grower phases (P= 0.0001 and 0.0001, respec-
tively). As a consequence of the slower produc-
tion rates, manufacturing technique also affected
energy usage. The use of TS resulted in higherconditioner REE (P= 0.02) and pellet mill REE
(P= 0.0001) during the starter phase (Table 2).
Moreover, a higher pellet mill REE (P= 0.001)
was observed during the grower phase (Table
3).
Diet formulation affected pellet mill REE (P
= 0.003), but only in the starter phase. The RB
contained more mash moisture than the LC (P
= 0.0004; Table 4); thus, energy usage was re-
duced. In fact, RB-TF resulted in the lowest pel-let mill REE (P< 0.05) compared with all other
treatments (Table 2). These results are in agree-
ment with those of Fairchild and Greer [18] and
Hott et al. [19], who observed reductions in pel-
BUCHANAN ET AL.: OPTIMIZING PELLET QUALITY 115
Table 2. Starter diet manufacturing variables
Item
Production rate,
metric tons/h
Conditioner REE,1
kWh2/metric ton
Pellet mill REE,
kWh/metric ton
Bulk density,
kg/m3
Treatment3
RB-TS 0.74 0.02b 0.39 0.10 5.81 0.39a 606.58 5.60b
RB-TF 1.13 0.05a 0.31 0.05 4.76 0.41c 588.55 8.50c
LC-TS 0.76 0.02b 0.41 0.02 6.07 0.47a 621.16 3.48a
LC-TF 1.15 0.05a 0.29 0.11 5.28 0.36b 602.74 3.86b
P-value 0.0001 0.0981 0.0001 0.0001
SEM 0.01 0.03 0.08 1.33
Fishers LSD 0.05 0.29 4.61
Main effect and interaction,P-value
Diet formulation 0.2467 0.9288 0.0031 0.0001
Manufacturing technique 0.0001 0.0213 0.0001 0.0001
Diet formulation manufacturing technique 0.7590 0.5469 0.1689 0.8854
acMeans within a column without a common superscript differ (P 0.05).1Relative electrical energy usage.2Kilowatt hours.3RB-TS = research-based diet manufactured using a thick die run slowly; RB-TF = research-based diet manufactured usinga thin die run fast; LC-TS = least-cost diet manufactured using a thick die run slowly; LC-TF = least-cost diet manufacturedusing a thin die run fast.
7/21/2019 112.full.pdf
5/9
let mill energy usage with graded additions of
moisture. Similar findings were not observed
for the grower phase (P= 0.7; Table 3). In the
grower trial, moisture content of the mash and
hot pellets did not differ between treatments (P
> 0.05; Table 5) despite the addition of supple-
mental moisture, likely because less supplemen-
tal moisture was added to the grower diets [8].
Thus, any lubricating effect associated with sup-
plemental moisture would not be observed.
Bulk density was also affected by the in-
corporation of supplemental moisture. Moritz
et al. [20] observed a decrease in bulk density
as moisture addition increased. This study sup-
ports those findings. The use of RB in the starter
phase decreased bulk density compared with theuse of LC (P= 0.0001; Table 2). However, in the
grower phase, when no differences in moisture
content were observed, diet formulation had no
effect on bulk density (P= 0.3; Table 3).
Manufacturing technique affected bulk den-
sity for both the starter and grower phases. The
use of TF decreased bulk density compared with
the use of TS (P= 0.0001; 0.0001). Bulk densi-
ties of corn-soybean- and sorghum-based diets
decrease as pellet quality increases [21, 22].However, our findings in this study contradict
past research. It is likely that the use of TS in
this study resulted in greater compaction of pel-
leted feeds and thus a denser final product.
Pellet Quality
Starter Phase. Pellet quality data for the
starter phase are represented in Table 4. For
the starter phase pellets, diet formulation and
manufacturing technique significantly affectedPDI (P= 0.004; 0.0001) and MPDI (P= 0.0005;
0.0001). The use of RB resulted in greater pellet
quality compared with the use of LC, whereas
TS resulted in greater pellet quality compared
with TF. In fact, RB-TS improved PDI by 10.85
percentage points and improved MPDI by 15.90
percentage points compared with LC-TF (Table
4).
Production of fines was affected by manu-
facturing technique, but not by diet formulation.The use of TS reduced total fines by 53.06%
and remixed fines by 36.25% compared with the
use of TF (P= 0.0001; 0.0001). Several factors
contributed to increased pellet quality and de-
creased fines for the starter phase. For example,
the use of TS resulted in greater starch gelatini-
zation compared with the use of TF (P= 0.03).
Although it was expected that greater moisture
content (i.e., the RB diet) would result in more
starch gelatinization, it did not. It is plausiblethat the water-to-starch ratio necessary for thor-
ough gelatinization was never reached. Howev-
er, the thicker die and the slower production rate
associated with TS may have generated more
JAPR: Research Report116
Table 3. Grower diet manufacturing variables
Item
Production rate,
metric tons/h
Conditioner REE,1
kWh2/metric ton
Pellet mill REE,
kWh/metric ton
Bulk density,
kg/m3
Treatment3
RB-TS 0.75 0.03b 0.25 0.04 6.16 0.85a 627.92 7.32a
RB-TF 1.13 0.04 a 0.21 0.06 4.52 0.23b 605.50 4.73b
LC-TS 0.75 0.01b 0.22 0.06 5.89 0.36a 626.13 3.10a
LC-TF 1.12 0.01a 0.22 0.01 4.98 0.48 b 601.69 8.25b
P-value 0.0001 0.2620 0.0059 0.0004
SEM 0.01 0.01 0.22 2.41
Fishers LSD 0.03 0.76 8.33
Main effect and interaction
Diet formulation 0.4777 0.3838 0.6741 0.2881
Manufacturing technique 0.0001 0.1456 0.0012 0.0001
Diet formulation manufacturing technique 0.4701 0.2699 0.1454 0.6918
a,b
Means within a column without a common superscript differ (P 0.05).1Relative electrical energy usage.2Kilowatt hours.3RB-TS = research-based diet manufactured using a thick die run slowly; RB-TF = research-based diet manufactured usinga thin die run fast; LC-TS = least-cost diet manufactured using a thick die run slowly; LC-TF = least-cost diet manufacturedusing a thin die run fast.
7/21/2019 112.full.pdf
6/9
BUCHANAN ET AL.: OPTIMIZING PELLET QUALITY 117
Table
4.
Starterd
ietpelletquality
Item
PDI,1 %
MPDI,2
%
Total
fines,%
Remixed
fines,
%
Mash
moisture
content,%
Hotpellet
moisture
content,%
Coolpellet
moisture
content,%
Starch
gelatinization,%
Protein
d
enaturation,%
Treatment3
RB-TS
92.6
71.16a
90.0
91.56a
10.6
00.65b
18.8
93.85b
13.9
20.71a
17.7
10.58a
16.560.32a
28.3
94.67
7.887.17
RB-TF
84.7
20.78c
79.1
80.62c
24.3
30.93a
29.6
62.59a
13.6
80.64a
17.6
10.52a
16.290.28a
19.4
810.0
9
8.071.05
LC-TS
89.5
80.83b
85.2
11.24b
12.1
51.46b
19.4
54.07b
12.0
00.12b
16.3
40.47b
15.090.43b
25.2
85.87
7.894.20
LC-TF
81.8
21.68d
74.1
91.64d
24.1
81.82a
30.4
73.98a
12.1
50.15b
15.7
70.46b
15.240.46b
17.9
63.36
8.345.67
P-value
0.0001
0.000
1
0.0001
0.0010
0.0025
0.0144
0.0013
0.1122
0.9992
SEM
0.68
0.73
0.87
1.28
0.24
0.33
0.16
2.79
2.66
FishersLSD
2.34
2.53
3.01
4.44
0.85
1.14
0.55
9.65
9.20
Maineffectandinteraction
Dietformulation
0.0044
0.000
5
0.4532
0.6133
0.0004
0.0028
0.0002
0.4389
0.9608
Manufacturingtec
hnique
0.0001
0.000
1
0.0001
0.0001
0.8576
0.3533
0.7183
0.0270
0.9084
Dietformulation
manufacturingtechnique
0.8984
0.939
8
0.3647
0.9233
0.4623
0.5026
0.2325
0.7853
0.9622
adMeanswithinac
olumnwithoutacommonsuperscriptdiffer(P0.0
5).
1Pelletdurabilityindex.
2Modifiedpelletdurabilityindex.
3RB-TS=research-
baseddietmanufacturedusingathickdierunslowly;RB-TF=research-based
dietmanufacturedusingathindierun
fast;LC-TS=least-costdietmanufacturedusingathick
dierunslowly;LC-TF=least-costdietmanufacturedusin
gathindierunfast.
7/21/2019 112.full.pdf
7/9
JAPR: Research Report118
Table
5.
Growerd
ietpelletquality
Item
PDI,1
%
MPDI,2
%
Pellet
length,mm
Total
fines,%
Remixed
fines,%
Mash
moisture
content,%
Hotpellet
mo
isture
content,%
Coolpellet
moisture
content,%
Starch
gelatinization
,
%
Protein
denaturation,
%
Treatment3
RB-TS
92.0
80.98a
89.47
1.52a
9.820.50a
9.820.49d
16.2
62.31d
12.7
00.39
16.63
0.37
15.9
60.72
10.6
23.84
5.972.66ab
RB-TF
84.6
20.67c
79.48
1.90c
8.080.36c
19.9
51.10b
26.5
32.74b
12.6
70.36
16.98
0.50
15.9
20.50
10.5
12.46
2.423.43b
LC-TS
87.8
90.51b
83.04
0.99b
9.200.25b
13.8
01.03c
20.7
51.57c
12.3
00.25
16.67
0.31
15.5
60.32
14.6
13.37
8.172.27a
LC-TF
78.6
60.72d
69.86
2.23d
7.640.45c
24.9
30.96a
33.6
40.33a
12.3
00.22
16.63
0.41
15.4
40.12
10.9
04.30
2.291.89b
P-value
0.0001
0.0
001
0.0001
0.0001
0.0001
0.4344
0
.6873
0.3127
0.4194
0.0271
SEM
0.16
0.3
2
0.13
0.53
0.78
0.21
0
.23
0.21
1.88
1.14
FishersLSD
0.54
1.1
1
0.47
1.83
2.69
3.93
Maineffectandinteraction
Dietformulation
0.0001
0.0
001
0.0076
0.0001
0.0003
0.1260
0
.5477
0.0855
0.2887
0.3983
Manufacturingtec
hnique
0.0001
0.0
001
0.0001
0.0001
0.0001
0.9397
0
.5367
0.6978
0.3489
0.0060
Dietformulation
manufacturingtechnique
0.0013
0.0
025
0.5381
0.3795
0.1424
0.9401
0
.4323
0.8614
0.3766
0.3436
adMeanswithinac
olumnwithoutacommonsuperscriptdiffer(P0.0
5).
1Pelletdurabilityindex.
2Modifiedpelletdurabilityindex.
3RB-TS=research-
baseddietmanufacturedusingathickdierunslowly;RB-TF=research-based
dietmanufacturedusingathindierun
fast;LC-TS=least-costdietmanufacturedusingathick
dierunslowly;LC-TF=least-costdietmanufacturedusin
gathindierunfast.
7/21/2019 112.full.pdf
8/9
heat and resulted in greater compaction of feed,
thus having a larger impact on starch gelatiniza-
tion. A larger LDR would require more frictional
force to extrude pellets through the die, leading
to more gelatinization and a higher pellet qual-
ity [19]. Protein denaturation was not affected
by diet formulation or manufacturing technique
(P> 0.05).
Grower Phase. Pellet quality data for the
grower trial are represented in Table 5. Diet for-
mulation manufacturing technique interactions
were observed for PDI (P= 0.001) and MPDI (P
= 0.003). When TS was used, the RB diet formu-
lation improved PDI by 4.19 percentage points
compared with the LC diet formulation. An even
greater effect was observed when TF was used;the RB diet formulation improved PDI by 5.96
percentage points compared with the LC diet
formulation. When using either manufacturing
technique, RB improved pellet quality. How-
ever, the positive effect of RB on PDI appears
to be more pronounced if a TF manufacturing
technique is used.
Similar results were observed for MPDI.
Compared with LC, RB improved MPDI by
6.43 percentage points when TS was used andimproved MPDI by 9.62 percentage points when
TF was used. Once again, the RB diet formula-
tion improved MPDI for each manufacturing
technique. However, the positive effect of RB
appears to be more pronounced if a mill chooses
to use a TF manufacturing technique.
Decreasing the LDR for a pellet die (i.e, us-
ing a thin die) would require less frictional force
during extrusion [18]. In this study, TF resulted
in less protein denaturation compared with TS(P= 0.0060). Considering that diet formulation
did not have an effect on protein denaturation
(P> 0.05), it is plausible that the smaller im-
provement in MPDI when RB-TS was com-
pared with LC-TS (6.43 percentage points) was
due to greater protein denaturation in both the
LC and the RB diets. Considering that protein
denaturation was not as pronounced in diets
manufactured using TF, it is plausible the higher
protein and moisture in RB resulted in a greater
improvement when RB-TF was compared to
LC-TF (9.62 percentage points). Starch gelati-
nization was not affected by diet formulation or
manufacturing technique (P> 0.05).
Diet formulation and manufacturing tech-
nique affected pellet length (P= 0.008; 0.0001),
total fines (P = 0.0001; 0.0001), and remixed
fines (P= 0.0003; 0.0001). Use of RB and TS
resulted in longer pellets and less fines. In fact,
RB-TS increased pellet length by 2.18 mm (P
= 0.001) and decreased total fines by 60.61%
(P= 0.0001) and remixed fines by 51.66% (P=
0.0001) compared with LC-TF (Table 5).
Diet formulation and manufacturing tech-
nique are important to pellet quality and, in
fact, may be intrinsically linked. In this study,
we demonstrate the importance of establishing
recommendations for producing high-quality
pellets. If producing high-quality pellets super-
sedes the need for producing high volumes offeed (i.e., TS), an LC diet formulation may pro-
duce a pellet of acceptable quality. However, if
producing high volumes of feed supersedes the
need for high pellet quality (i.e., TF), reverting
from an LC diet formulation to a RB formulation
could ameliorate low-quality pellet production.
CONCLUSIONS AND APPLICATIONS
1. The RB diet formulation improved PDI,
MPDI, and production of fines.
2. The TS improved PDI, MPDI, and pro-
duction of fines; however, production
rate decreased and energy usage in-
creased.
3. The combination of the RB grower diet
formulation and TS optimized PDI and
MPDI.
REFERENCES AND NOTES
1. Falk, D. 1985. Pelleting cost center. Pages 167190in Feed Manufacturing Technology III. M. M. McEllhiney,ed. Am. Feed Ind. Assoc., Arlington, VA.
2. Behnke, K. C. 1994. Factors affecting pellet quality.Pages 4454 in Proc. Maryland Nutr. Conf. Feed Manuf.,College Park, MD. Maryland Feed Ind. Counc., Univ. Mary-land, College Park.
3. Moritz, J. S. 2007. Impact of the pelleting process ondietary nutrients and supplemental enzymes. Pages 1113 inProc. Arkansas Annu. Nutr. Conf., Rogers, AR.
4. Koch, K. B. 2007. Pelleting and distillers dried grains
with solubles. http://www.ddgs.umn.edu/ppt-proc-storage-quality/2007-Koch-%20Pelleting%20and%20DDGS.pdfAccessed May 2008.
5. Buchanan, N. P., and J. S. Moritz. 2009. Main effectsand interactions of varying formulation protein, fiber, and
BUCHANAN ET AL.: OPTIMIZING PELLET QUALITY 119
7/21/2019 112.full.pdf
9/9
moisture on feed manufacture and pellet quality. J. Appl.Poult. Res. 18:274283.
6. Briggs, J. L., D. E. Maier, B. A. Watkins, and K. C.Behnke. 1999. Effect of ingredients and processing param-eters on pellet quality. Poult. Sci. 78:14641471.
7. Cobb-Vantress, Siloam Springs, AR.
8. Endpoint conditioned mash moisture content wascalculated based on moisture content of the mash before pel-leting, ambient temperature of the mash at the time of pel-leting, and conditioning temperature. Turner [9] has statedthat for every 16.7C (30.0F) increase in conditioned mashtemperature, 1% moisture should be added. Samples ofmash were taken 12 h before pelleting and moisture contentwas measured. Tap water was added to the diet to maximizethe potential for thermomechanical interactions to occur: 1)(final conditioning temperature ambient temperature ofmash)/30 = % moisture added at conditioner moisture con-tent of mash + % moisture added at conditioner = total mois-ture; 2) 17 total moisture = % of supplemental tap water
added to mash.9. Turner, R. 1995. Bottomline in feed processing:
Achieving optimum pellet quality. Feed Manage. 46:3033.
10. Brill Feed Ration Balancer, Version 1.03.017, M.Feed Management Systems, Brooklyn Center, MN.
11. Vertical mixer, Avery Weigh-Tronix, Fairmont, MN.
12. Master Model Pellet Mill, California Pellet MillCompany (CPM), Crawfordsville, IN.
13. Vertical cooler, Pyramid Processing Equipment LLC,Stilwell, KS.
14. American Association of Cereal Chemists. 1995.AACC Method 44-15A: MoistureAir-Oven Method. InApproved Methods of the American Association of Ana-lytical Chemists. Vol. 2. Am. Assoc. Cereal Chem., St. Paul,MN.
15. American Society of Agricultural Engineers. 1997.ASAE S269.4: Cubes, pellets, and crumblesDefinitions
and methods for determining density, durability, and mois-ture. Standard 1997. Am. Soc. Agric. Eng., St. Joseph, MI.
16. Differential Scanning Calorimeter, Instrument Spe-cialists Inc., Twin Lakes, MN. Percentage of starch gelati-nization and percentage of protein denaturation were mea-sured by determining the prevalence of gelatinization and
denaturation in a mash sample before pellet processing.The gelatinization and denaturation of a corresponding pel-leted sample were then measured. The percentage of starchgelatinization and percentage of protein denaturation weredetermined by subtracting the enthalpy associated withthe pelleted sample from the enthalpy associated with themash sample and dividing by the enthalpy associated withthe mash sample: Mash enthalpy pellet enthalpy/mash en-thalpy = % gelatinization or denaturation.
17. SAS Institute. 2000. The SAS System for Windows2000. Release 8.1. SAS Inst. Inc., Cary, NC.
18. Fairchild, F., and D. Greer. 1999. Pelleting with pre-cise mixer moisture control. Feed Int. 20:3236.
19. Hott, J. M., N. P. Buchanan, S. E. Cutlip, and J. S.Moritz. 2008. The effect of moisture addition with a moldinhibitor on pellet quality, feed manufacture, and broiler per-formance. J. Appl. Poult. Sci. 17:262271.
20. Moritz, J. S., K. R. Cramer, K. J. Wilson, and R. S.Beyer. 2003. Feed manufacture and feeding of rations withgraded levels of added moisture formulated to different en-ergy densities. J. Appl. Poult. Res. 12:371381.
21. Moritz, J. S., K. J. Wilson, K. R. Cramer, R. S. Beyer,L. J. McKinney, W. B. Cavalcanti, and X. Mo. 2002. Ef-fect of formulation density, moisture, and surfactant on feedmanufacturing, pellet quality and broiler performance. J.Appl. Poult. Res. 11:155163.
22. Cramer, K. C., K. J. Wilson, R. S. Beyer, L. J. McKin-ney, and K. C. Behnke. 1999. Effect of sorghum-based dietsubjected to various feed manufacturing processes on sub-sequent broiler performance. Poult. Sci. 78(Suppl. 1):45.(Abstr.)
JAPR: Research Report120