Livestock Research for Rural Development 21 (2) 2009 | Guide for preparation of papers | LRRD News | Citation of this paper |
A six-week experiment was carried out in Benin to evaluate under tropical conditions the variation in nutritional value of soybean and maize grains due to, respectively, environmental factors and the plant variety. Two soybean grains of the same variety (Jupiter) but grown in two agro-ecological zones and two varieties of white maize grains (Local and DMR-ESRW) produced in the same environmental conditions were compared. These grains were used in four balanced diets for unsexed broiler chickens (Red Bro) from 8 to 49 days of age.
Per kg of dry matter (DM), a difference of about 0.396 MJ of metabolisable energy and 27 g of crude protein content were found between varieties of maize. Crude protein content was identical in both soybean grains, while a difference of 16 g/kg DM was found between them in crude fibre content. In spite of these differences in chemical components, there was no significant effect (P > 0.05) of the grains’ origin or variety on the growth performance of chickens. The daily feed intake, the daily weight gain, the feed conversion ratio and the final body weight of chickens at 28 and 49 days of age were similar between diets. In addition, the partial substitution of maize by soybean grains to supply mainly the dietary energy did not show an adverse effect of the diet on these variables. However, the variety of maize affected significantly the feed cost and the economic feed efficiency at starter phase.
It can be concluded that under the particular conditions of this experiment, the environmental factors did not change significantly the nutritional value of soybean grains in chickens’ diets. The grains of local variety of white maize were suitable at all ages, whereas the grains of DMR-ESRW were more economic in grower than starter broiler chickens feeding.
Keywords: Benin, broilers, environmental factors, maize, plant variety, soybean
Maize and soybean are the most cops used as ingredients in poultry diets in Benin. One variety of soybean (Jupiter) and many varieties of maize are cultivated. Local varieties constitute the most part of maize production. However, there are many improved varieties of maize within which the most adopted by farmers is DRM-ESRW. In the Southern of Benin there is a subequatorial climate (two dry and two wet seasons), whereas the Northern is characterized by a Sudanese climate (a dry and a wet seasons). The fertility of soils is not similar everywhere and the use of fertilizer is seldom.
It is often reported that crops’ composition varies according to several factors. The chemical composition of maize can vary substantially from batch to batch resulting in considerable variation in its energy value for poultry (Cowieson 2005). According to Barbour et al (2008), corn grain imported by feed mills is higher in moisture by 27% and lower by 10.6, 17.6, and 15.4% in protein, fat, and fibre, respectively, than that of premium corn reported by National Research Council (1994). Feil et al (2005) found that the mineral content of tropical grains of maize was not affected by the water regime, while there were significant differences in the content of nitrogen and minerals (P, K, Mg, Ca, Mn, Zn and Cu) between varieties. An increase of protein and lysine content with an increasing level of soil nitrogen was reported in two varieties of maize, and chickens fed opaque-2 corn grew significantly faster than those fed normal corn (Cromwell et al 1983). Keeney (1970) reported similar among of amino acid composition in protein of four maize grain varieties; but he specified that an increase of the protein content of maize grain by fertilizer treatment appeared to adversely affect the essential amino acid balance. McDonald et al (2002) reported a nutritional superiority of Opaque-2 compared to normal maize for rat, pig and young chicken fed methionine supplemented-diets, while Floury-2 variety having increased contents of both methionine and lysine and had been shown to be superior to Opaque-2 in chickens’ feeding. Regarding soybean, investigations on the effects of the environmental factors on the nutritional value of its grains in animal feeding are seldom. However, significant variation of total carbohydrate, oil and protein according to the variety and the environment was found in soybean grains by Wilcox and Shibles (2001). Earlier, Kuiken and Lyman (1948) studying meals from twenty strains, reported that since soybean culture is limited to Corn Belt states (in USA), variations which result from environmental conditions probably have little effect on the protein content and composition of commercial soybean meals.
The purpose of this study was to evaluate in feeding of broiler chickens, the eventual variation in nutritional value of soybean grains caused by environmental factors and that of maize grains linked the effects of plant variety in the tropical conditions of Benin.
Two varieties of white maize grains and two soybean grains of the same variety (Jupiter), but produced in two different agro-ecological zones (Northern and Southern) were compared. Both varieties of white maize were produced in similar soil. The yield of the local variety of maize (ML) named “gbogboé” is between 1 and 2.5 tons/ha, while the variety DMR-ESRW of maize (MI) is an improved population which yields 3.5 to 5 tons/ha (FAO 2008). The grains of these crops were used in the corresponding diets (Table 1). Soybean grains were toasted before the processing of diets to destroy the trypsin inhibitor which reduces the digestion of amino acids.
Table 1. Origins of soybean, varieties of maize and the corresponding diets |
||||
Ingredients |
Soybean Southern |
Soybean Northern |
Maize Local* |
Maize Improved** |
Diets |
SS |
SN |
ML |
MI |
* The local variety is named “gbogboé” **The improved variety is named DMR-ESRW |
Diets were formulated to meet the requirements of National Research Council (1994) by using the chemical compositions of feedstuffs reported by Institut National de la Recherche Agronomique (1989). The solver of Microsoft Excel (Thomson and Nolan 2001) was used for diet formulation. The Table 2 present the composition of diets.
Table 2. Ingredients, prices and chemical composition of diets as formulated |
||||
Ingredients / Nutrients |
Starter diets* |
Grower diets* | ||
SN , SS |
ML , MI |
SN , SS | ML , MI | |
Ingredients, % of diets as fed |
|
|
|
|
Maize grain |
50 |
60 |
54 |
63 |
Soybean grain |
22 |
- |
20 |
- |
Soybean meal |
- |
27 |
- |
25 |
Cotton meal 1 |
10 |
- |
7 |
- |
Fish meal |
7 |
7 |
6 |
6 |
Wheat bran |
8 |
3 |
9.9 |
3 |
Oyster shell |
1.65 |
1.75 |
1.65 |
1.65 |
Salt (NaCl) |
0.20 |
0.30 |
0.30 |
0.20 |
Lysine |
0.10 |
0.10 |
0.10 |
0.10 |
Methionine |
0.30 |
0.30 |
0.30 |
0.30 |
Bi-calcium phosphate |
0.50 |
0.30 |
0.50 |
0.50 |
Premix2 |
0.25 |
0.25 |
0.25 |
0.25 |
Prices, €/ton of diet |
352 |
357 |
345 |
351 |
Chemical compositions, Per kg dry matter |
|
|
|
|
ME3, MJ |
12.6 |
12.1 |
12.8 |
12.2 |
Crude Protein, g |
214 |
209 |
195 |
199 |
Crude fat, g |
71.0 |
36.3 |
64.5 |
35.8 |
Crude fibre, g |
44.9 |
35.7 |
46.0 |
34.7 |
Lysine, g |
14.6 |
13.1 |
12.9 |
12.6 |
Methionine, g |
6.4 |
6.3 |
6.0 |
6.1 |
Methionine + Cystine, g |
9.4 |
8.1 |
8.8 |
7.8 |
Calcium, g |
12.1 |
12.1 |
11.4 |
11.6 |
Total Phosphorus, g |
7.6 |
6.6 |
6.3 |
6.6 |
Phosphorus available, g |
3.9 |
3.2 |
3.4 |
3.3 |
*Diets containing: Northern soybean (SN), Southern soybean (SS), local maize (LM), improved maize (MI) 1Ferrous sulphate (FeSO4) were added at the rate of 3 g per kg of cotton meal 2Premix contained per kg: Vitamins: A 4000000 UI, D3 800000 UI, E 2000 mg, K 800 mg, B1 600 mg, B2 2000 mg, niacin 3600 mg, B6 1200 mg, B12 4 mg, choline chloride 80000 mg ; Minerals: Cu 8000 mg, Mn 64000 mg, Zn 40 000 mg, Fe 32000 mg, Se 160 mg 3 Metabolizable energy |
The market prices of grains for feed were irrespective of the variety and the agro-ecological zone of production. During the experimental period (May-June 2008) the prices of soybean and maize grains were 396 and 374 €/ton respectively. Due to the similarity between these prices added to the high energy content in soybean grains, their used in SS and SN diets decreased the level of maize by 10 and 9% in starter and grower diets respectively compared to the corresponding ML and MI diets. However, adjustments in the main protein and mineral sources were necessary (Table 2). As consequence, feed prices were lower in SS and SN diets than in ML and MI diets.
Initially, 250 chickens one-day-old (mixed sexes) of breed Red Bro were purchased in a hatchery in Benin. At their arrival the average weight per chicken was 33.5 ± 3.4 g. Chickens were kept on deep litter in a starter room and were fed the same diet during a week (day 1 to 7). At seven-day-old, 240 chickens were splited in twelve randomized replications of 20 chickens each. The replications (experimental unit) were divided in three blocks. Hence, per block there was one replication per dietary treatment. Thus, a completed randomized block was used. The replications were maintained during the six weeks of experiment. At the start of the experiment the average body weights (g/chicken) were similar between diets (P > 0.05). The experimental design is summarized in Table 3.
Table 3. Experimental design |
|||||
Diets* |
SS |
SN |
ML |
MI |
|
Replication per block** |
1 |
1 |
1 |
1 |
|
Replications per diet |
3 |
3 |
3 |
3 |
|
Chickens in replications per diet |
60 |
60 |
60 |
60 |
|
Body weight at start, g |
Means |
75.1 |
75.1 |
75.1 |
75.3 |
SE |
0.09 |
||||
*Diets containing: Northern soybean (SN), Southern soybean (SS), local maize (LM), improved maize ( MI) **There were 3 blocks of 4 replications each |
During the first 3 weeks of experiment (day 8 to 28), chickens were in a starter room provided with heating and lighting. The heating was stopped after a week. The temperatures recorded in the room were between 27 and 34oC, while the relative humidity varied from 64 to 83%. The density of chickens on litter was 15 chickens/m2 at the starter phase.
At 29 days of age (day 29), chickens were moved from the starter room to pens under natural light for the grower phase. During the following 3 weeks, chickens were kept in 12 pens (replications) until day 49. In pens, the temperatures were between 26 and 32oC, while the relative humidity varied from 77 to 91%. On average, there were 6 chickens/m2 at the grower phase. During the experiment the body weight of chickens was recorded weekly.
Each diet was given to chickens in 3 random replications. Starter and grower diets were used to feed chickens from day 8 to 28 and from day 29 to 49 respectively. At the beginning of the grower phase, the starter diet was progressively substituted by the grower diet at the respective daily rates of 33, 67 and 100%. Chickens were fed ad libitum. They had also free access to drinking water. Daily, the quantity of feed gave and the residues of feed were recorded per replication.
Soybean and maize grains were analyzed in the laboratory of the Faculty of Life Sciences, University of Copenhagen in Denmark. Dry matter (DM) was determined by evaporation of water at 105 ºC. Ash was got by burning the material at 525 ºC. Nitrogen (N) content was estimated by Kjeldahl technique. Then, crude protein (CP in %) was calculated as N x 6.25.
The method of petroleum ether extraction after hydrochloric acid (HCl) hydrolysis was used to determine fat content. Gross energy (GE) was measured in an adiabatic bomb calorimeter (IKA® calorimeter system, IKA® GmbH and Co. KG, Staufen, Germany). Crude fibre (CF) was determined using the Fibertec FiberCap 2021/2023 system (FOSS Tecator AB, SE-263 21 Hoganas Sweden). First the sample were defatted using acetone, then sulphruric acid, 1.25 % and sodium hydroxide, 1.25 % were used to isolate the crude fibre.
Larbier and Leclercq (1994) reported 74.6 and 84.2% as the part of maize grains’ gross energy (GE) that is metabolizable by young and adult chicken respectively. Thus, the content of metabolisable energy (ME) in grains of maize was estimated assuming that on average about 80% of GE was metabolisable by broiler chickens: ME = 0.8GE.
The economic feed efficiency (EFE) was calculated by the following formula:
EFE (€ WG / € feed) = Revenue from WG/Feed cost (Houndonougbo et al 2008a)
Where, WG is the body weight gain and feed cost is the amount invested in feeding.
The general linear model (GLM) was used to analyze data in SAS Institute Inc. (2004). Mean values are shown in tables with the pooled standard error. Significant effect of diets is stated when P-value (P) is less than 0.05. The effect of replications and of the interaction between diets and replications were not significant (P > 0.05). Hence, the following model was used:
Yi = μ + Gi + εi
Where,
Yi is the observation
for dependent variables,
μ is the general mean,
Gi is
the fixed effect of soybean
or maize grains and
εi is the residual error.
The chemical composition of soybean and maize grains are presented in Table 4.
Table 4. Chemical composition of soybean and maize grains (per kg of dry matter); cost of crude protein (CP), gross (GE) and metabolizable (ME) energy in grains |
||||
Soybean grain* |
Maize grain* | |||
SS | SN | ML | MI | |
930 |
880 |
900 |
900 |
|
Total ash, g |
55.9 |
54.5 |
14.4 |
14.4 |
Crude Protein, g |
449 |
449 |
118 |
91.1 |
Crude fat, g |
196 |
198 |
47.6 |
47.8 |
Crude fibre, g |
83.4 |
67.3 |
19.0 |
21.1 |
GE, MJ |
22.5 |
21.0 |
19.0 |
18.5 |
ME, MJ |
|
|
15.2 |
14.8 |
CP cost, € 10-4/g CP |
8.5 |
8.5 |
32 |
42 |
GE cost, € 10-4/MJ GE |
170 |
181 |
|
|
ME cost, € 10-4/MJ ME |
|
|
250 |
257 |
*Grains evaluated: Northern soybean (SN), Southern soybean (SS) local maize (LM), improved maize (MI) |
The soybean grains from the Southern (SS) had about 1.5 MJ/kg DM of gross energy (GE) content more than grains from the Northern (SN). Both SS and SN grains had the same content of crude protein (CP). However, a difference of 16.1 g of crude fibre/kg DM was found between them; the content of crude fibre being higher in SS than in SN grains. Regarding maize grains, the main difference was found in crude protein. Per kilogramme of DM, the local variety of maize (ML) had 26.9 g of CP and 0.4 MJ of metabolizable energy more than the improved variety (MI). As the price of the grains for feed was irrespective of the origin and the variety, the cost of CP from MI grains was 1.3 time that from ML grains. However, the cost of ME was nearly the same in both maize grains. The difference of GE cost was low (11 €/104 MJ) between soybean grains (Table 4).
The daily feed intake (DFI) and the feed conversion ratio (FCR) of broiler chickens are shown in Table 5.
Table 5. Daily feed intake (DFI) and feed conversion ratio (FCR) of broilers |
|||||||
|
Phases |
Diets* |
SE |
P-value |
|||
SS |
SN |
ML |
MI |
||||
DFI, g |
Starter |
61.7 |
63.0 |
59.6 |
62.1 |
7.49 |
0.99 |
Grower |
109 |
105 |
106 |
104 |
7.21 |
0.96 |
|
Overall |
85.5 |
83.8 |
82.9 |
83.2 |
7.39 |
0.99 |
|
FCR, g feed / g WG1 |
Starter |
2.36 |
2.17 |
2.20 |
2.47 |
0.09 |
0.10 |
Grower |
2.29 |
2.52 |
2.33 |
2.25 |
0.10 |
0.28 |
|
Overall |
2.32 |
2.34 |
2.26 |
2.36 |
0.07 |
0.81 |
|
*Diets containing: Northern soybean (SN), Southern soybean (SS), local maize (LM), improved maize ( MI) |
Neither the agro-ecological zone of soybean growing, nor the variety of white maize had significant effect on these variables at both phases. However, DFI of chickens fed with SS diet became higher than that of chickens fed with SN diet from the fifth week of age until the end of the experiment (Figure 1).
|
|
The difference of DFI between ML and MI diet was more remarkable during week 4 and 6 of age. The pattern of DFI in all four diets showed an inflexion in the first week of the grower phase (day 29 to 35).
The agro-ecological zone of soybean growing and the variety of maize had no significant effect on the daily weight gain and the final body weight (FBW) of chickens at the end of starter and grower phases (Table 6).
Table 6. Daily body weight gain (WG) and final body weight (FBW) of broilers |
|||||||
|
Phases |
Diets* |
SE |
P-value |
|||
SS |
SN |
ML |
MI |
||||
WG, g
|
Starter |
26.0 |
29.1 |
26.4 |
24.8 |
2.88 |
0.76 |
Grower |
48.0 |
41.7 |
46.3 |
46.6 |
3.02 |
0.50 |
|
Overall |
37.0 |
35.4 |
36.4 |
35.7 |
3.11 |
0.98 |
|
FBW, g |
Starter |
621 |
685 |
630 |
596 |
23.7 |
0.13 |
Grower |
1628 |
1562 |
1603 |
1575 |
16.8 |
0.09 |
|
*Diets containing: Northern soybean (SN), Southern soybean (SS), local maize (LM), improved maize ( MI) |
Thus, the growth curves of chickens were similar (Figures 2 and 3).
|
|
Figure 2.
Growth curves of chickens fed diets
containing |
Figure 3.
Growth curves of chickens fed diets |
At seven-week-old (day 49), chickens fed SN diet had about 96% of the body weight of those fed SS diet, whereas that ratio was 98% between respectively the weight of chickens fed MI and ML diets. Carcass quality was not investigated. Mortality rates were similar at starter phase (0.8 to 1.1%) and there was no mortality at grower phase.
At the starter phase, the feed cost (FC) was significantly higher in diet containing MI maize (Table 7). Hence, the economic feed efficiency (EFE) was significantly lower in MI diet at this phase.
Table 7. Feed cost (FC) and economic feed efficiency (EFE) of broilers |
|||||||
|
Phases |
Diets* |
SE |
P-value |
|||
SS |
SN |
ML |
MI |
||||
FC, € / kg WG1 |
Starter |
0.849a |
0.779a |
0.846a |
0.950b |
0.036 |
0.02 |
Grower |
0.808 |
0.890 |
0.877 |
0.846 |
0.038 |
0.45 |
|
Overall |
0.829 |
0.835 |
0.861 |
0.898 |
0.027 |
0.26 |
|
EFE, € WG / € feed |
Starter |
1.91 a |
2.06 a |
1.94 a |
1.71 b |
0.08 |
0.02 |
Grower |
2.01 |
1.81 |
1.89 |
1.90 |
0.08 |
0.38 |
|
Overall |
1.96 |
1.93 |
1.92 |
1.81 |
0.06 |
0.25 |
|
*Diets containing: Northern soybean (SN), Southern soybean (SS), local maize (LM), improved maize ( MI) a b Means with unlike superscripts in the same row differ significantly (P < 0.05) 1Body weight gain |
Compared to ML diet, the MI diet increased FC by about 12% and reduced EFE by 12% at the starter phase. However, no significant effect of soybean and maize grains on FC and EFE was found at grower phase or when data of both phases were pooled into an overall mean. The lowest overall FC and the highest overall EFE were found in SS diet. The overall FC was lower by 7.7% and EFE was higher by 8.3% when FC and EFE recorded in MI diet were compared to the values from SS diet. Thus, the partial substitution (9 to 10%) of maize by soybean improved the economic results. In this experiment, FC and EFE were not better at the starter phase compared to the grower phase as expected.
The nutritional value of maize for poultry depends on the content of starch, oil, protein and anti-nutritional factors primarily phytase, enzyme inhibitors and resistant starches (Cowieson 2005). The energy content being quite similar between maize grains, ML and MI diets were therefore iso-energetic. This might explain the similar daily feed intake (DFI) in these diets as chickens regulate their intake according to mainly the energy content of the diet (McDonald et al 2002, Pond et al 1995). Regarding the intake of SS and SN diets it seems that the higher crude fibre content in SS reduced its metabolizability. Thus, no effect of the gross energy difference between soybeans was noticed on DFI. Crude protein (CP) contents of both maize varieties were different. However, they were between 90 to 140 g/kg DM (McDonald et al 2002). Similar feed conversion ratio was noticed were between ML and MI diets despite the CP difference between maize. This could be linked to the lower contribution of maize in the total dietary CP. In starter and grower ML and MI diets, maize supplied respectively 26 and 29% of the total CP, whereas soybean meal supplied 55 and 54%. However, these maize’s contributions in dietary CP were higher than 20% (Cowieson 2005). The results suggested that in soybean-maize based diet, a partial substitution of the sources of energy (maize grain by soybean grain) allowed to keep feeding behaviour of chickens and the efficiency of feed. Houndonougbo et al (2008b) reported such a feeding behaviour when comparing six qualities of meals. However, these authors specified the variation of the metabolizability of dietary energy according to the source of energy. In case of significant increase of maize price (basic human food in many African countries), the approach of ingredients substitution evaluated in this study can be adopted to reduce feed cost in broilers farms. However, the bio-economic optimum rate of substitution of maize should be investigated carefully by category of poultry and according to the production system because the oil in soybean grain has a laxative effect and may cause soft body fat (McDonald et al 2002). Such a feeding strategy could therefore affect poultry’s metabolism and fatness which constitutes a high risk in layers mainly, and consequently the quality of the products (meat carcass, eggs, edible visceral organs, etc.).
The overall DFI in all four diets were close to 83 g (Yo et al 1998), but higher than to 79.7 g reported in Benin with broilers Ross 308 (Houndonougbo et al 2008a). Also, the overall FCR were similar to 2.29 (Obun et al 2008), but higher than 1.95 (Houndonougbo et al 2008a). The inflexion of DFI in the fifth week of age might be the consequence of the switch of diet and housing. The management of feed and the housing are therefore crucial in broilers keeping. Fortunately, that change in feed intake did not affect significantly chickens’ growth curves.
The growth performance was evaluated by the daily weight gain and the final body weight. These variables were similar between diets. This was confirmed by the similar pattern of growth curves. However, economically some differences were noticed. Thus, at starter phase, feed cost (FC) and economic feed efficiency (EFE) in MI diet were, respectively, significantly higher and lower than those found in other three diets. These results showed the importance of bio-economic analyses in poultry feeding. They confirmed in certain extent why nutritional recommendations for poultry must be defined on the basis of economic results (Leclercq and Beaumont 2000). The differences in FC and EFE can be linked to the identical feed price between, respectively, soybean diets and maize diets, combined with a cumulative effect of the lower nutritional value of DMR-ESRW maize for young chickens which could be due to the lower content of protein and probably a lower metabolizability of nutrients in that maize. The effect of DMR-ESRW on feed efficiency in young chickens could be therefore higher if the experiment started at d 1 instead of day 8. Grains of DMR-ESRW may contain high content of many components which reduce nutrients and energy metabolizability. The components could be the water insoluble starch by amylase (Carré 2004), the starch resistance (Brown 1996) or anti-nutritional factors such as amylase inhibitor, phytin, trypsin inhibitor and lectins (Cowieson 2005; Eekhout and De Paepe 1994). Fat and protein are found on the surface of starch granules and may act as physical barriers to the digestion of starch as well as a high amylose content which is associated with reduced digestibility (Svihus et al 2005). However, in the present investigation, the content of fat and protein were lower in MI than ML grains. A negative relationship between hardness of grains and starch digestibility was demonstrated by Carré et al (2007) in wheat. Hence, the low nutritional value of DMR-ESRW grains in young chickens feeding could also be due to a probable hardness of these grains. Further research is therefore needed to evaluate an eventual increase of the metabolizability of DMR-ESRW grains by young chickens. This could be done by using exogenous enzymes such as xylanase, amylase, protease and phytase. Such a practice was stated as an effective strategy to improve the body weight gain, FCR and flock uniformity of broiler chickens (Cowieson 2005).
The overall WG recorded in all dietary treatments were higher than 30.3 g reported in Nigeria by Obun et al (2008), whereas the final body weights at day 49 were close to 1696 g (Dongmo et al 2005). In this experiment, FC were higher than the maximum values 0.729 and 0.773 €/kg WG found by Houndonougbo et al (2008b) at starter and grower phases respectively using the same breed of chickens during a study carried out in the prior year. Comparing 0.773 €/kg WG with 0.890 €/kg WG recorded in SN diet (at grower phase), one can infer an inflation rate of 15% per annum on FC, whereas in the same period the price of chickens’ live weight increased by only 5%. Apart from the lower EFE in MI diet at starter phase, the overall bio-economic results of this experiment demonstrated that in broilers feeding the nutritional value of soybean and maize grains did not depend on the environmental factors and the variety respectively. Hence, there is no need of price differentiation between these grains according to, respectively, the origin and the variety. Smith (1996) stated that the development of poultry industry has been possible in the last forty years only because for most of that period there has been a surplus of grains in Western countries. The DMR-ESRW maize having high yield, farmers can be advised and motivated for its production to supply at least the market of feeds. Thus, price of maize could decrease allowing a reduction of feed cost in Benin and other West African countries (Nigeria, Ivory Coast, Burkina Faso, Mali, Togo, Ghana and Senegal) reported by FAO (2008) as production areas of DMR-ESRW. However, further research should be done on the storage ability/conditions because according to Lawal et al (2004) the majority of farmers (68%) interviewed in Nigeria adopted DMR-ESRW maize and about 83% of them stated the storage problem as a constraint associated with its use. Considering the variables FCR, FC and EFE, the age of starter chickens (day 8 versus day 1 as usual) affected negatively the superiority of feed efficiency reported at starter phase compared to grower phase independently of diet quality (Houndonougbo et al 2008a).
This experiment demonstrated that in Benin the nutritional value of soybean grains for broilers feeding did not depend on the agro-ecological zone of production. Also, apart from the lower nutritional value of the grains of DMR-ESRW maize for starter chickens compared to growers, this improved variety was suitable for broilers feeding. The use of DMR-ESRW maize could become economic if the increase of its production results in a decrease of the market price of maize grains. However, further investigations on the metabolisability of DMR-ESRW grains should be done to determine the causal factors responsible of the lower performance of young chickens, and how to avoid these factors. The optimal age of chickens from which the negative effect of DMR-ESRW grains is negligible could be also focused.
The authors thank the Research School in Animal Nutrition and Physiology (RAN) of the Faculty of Life Sciences, University of Copenhagen (KU) for its contribution for the laboratory analyses in Denmark. Thanks also to the Faculty of Agronomic Sciences, University of Abomey Calavi in Benin for the materials and the infrastructures provided during the experimental phases.
Barbour D W, Farran M T, Usayran N and Daghir N J 2008 Review of poultry production and the physical and chemical characteristics of imported corn and soybean meal in major feed operations in Lebanon. World’s Poultry Science Journal 64(2):177-186
Brown I 1996 Complex carbohydrates and resistant starch. Nutrition Review 54:115-119
Carré B 2004 Causes for variation in digestibility of starch among feedstuffs. World’s Poultry Science Journal 60(1):76-89
Carré B, Mignon-Grasteau S, Péron A, Juin H and Bastianelli D 2007 Wheat value: improvements by feed technology, plant breeding and animal genetics. World’s Poultry Science Journal 63(4):585-596
Cowieson A J 2005 Factors that affect the nutritional value of maize for broilers. Animal Feed Science and Technology 119:293-305
Cromwell G L, Bitzer M J, Stahly T S and Johnson T H 1983 Effects of soil nitrogen fertility on the protein and lysine content and nutritional value of normal and opaque-2 corn. Journal of Animal Science 57(6):1345-1351. Retrieved August 8th, 2008, from http://jas.fass.org/cgi/reprint/57/6/1345
Dongmo T, Fotsa J C, Fotso J M, Meffeja Ndoumbe Nkeng M and Tchakounte J 2005 Besoins protéiques des poulets de chair élevés en zone forestière humide du Cameroun. In: Revue scientifique 2005 de l’IRAD, Proceedings of workshop in animal production. Yaoundé, Cameroun, July 25 - 28th, 2005: 91-101
Eeckhout W and De Paepe M 1994 Total phosphorus, phytate-phosphorus and phytase activity in plant feedstuffs. Animal Feed Science and Technology 47:19-29
FAO 2008 West African catalogue of plant species and varieties. Retrieved July 20th, 2008, from http://www.fao.org/docrep/010/i0062e/i0062e00.htm
Feil B, Moser S B, Jampatong S and Stamp P 2005 Mineral composition of the grains of tropical maize varieties as affected by pre-Anthesis drought and rate of nitrogen fertilization. Crop Science 45:516-523. Retrieved July 5th, 2008, from http://crop.scijournals.org/cgi/reprint/45/2/516
Houndonougbo F M, Chwalibog A and Chrysostome C A A M 2008a Effect of commercial diets on bio-economic performances of broilers in Benin. Tropical Animal Health and Poduction. DOI 10.1007/s11250-008-9243-1. Retrieved October 30th, 2008, from http://www.springerlink.com/content/v5886748u38050j1
Houndonougbo F M, Chwalibog A and Chrysostome C A A M 2008b Nutritional and economic values of by-products used in poultry diets in Benin: the case of soybean, cotton and palm kernel meals. Livestock Research for Rural Development 20(11). Retrieved November 7th, 2008, from http://www.lrrd.org/lrrd20/11/houn20174.htm
Intitut National de la Recherche Agronomique 1989 Alimentation des animaux monogastriques: Porc, lapin, volailles. (2nd Edition, reviewed and corrected, INRA France. 282 p)
Keeney D R 1970 Protein and amino acid composition of maize grain as influenced by variety and fertility. Journal of the Science of Food and Agriculture 21(4):182-184
Kuiken K A and Lyman C M 1948 Essential amino acid composition of soy bean meals prepared from twenty strains of soy beans. Department of Biochemistry and Nutrition, Agricultural and Mechanical College of Texas, College Station: 29 -36. Retrieved 4th July 2008, from http://www.jbc.org/cgi/reprint/177/1/29
Larbier M and Leclercq B 1994 Nutrition and Feeding of Poultry. (English translation © Nottingham University Press 1994. ISBN 1-897676-52-2. 300 p)
Lawal B O, Saka J O, Oyegbami A and Akintayo I O 2004 Adoption and performance assessment of improved maize varieties among smallholder farmers in Southwest Nigeria. Journal of Agricultural and Food Information 6(1): 35-47. DOI: 10.1300/J108. 06 (01)05
Leclercq B and Beaumont C 2000 Etude par simulation de la réponse des troupeaux de volailles aux apports d’acides aminés et de protéines. INRA Production Animale 13(1):47-59 http://granit.jouy.inra.fr/productions-animales/2000/Prod_Anim_2000_13_1_05.pdf
McDonald P, Edwards R A, Greenhalgh J F D and Morgan C A 2002 Animal nutrition (6th edition, Pearson Education Limited, Harlow, USA. ISBN 978-0-582-41906-3. 693 p)
National Research Council 1994 Nutrient Requirements of Poultry. (9th Revised Edition, National Academy Press, USA; ISBN 0-309-04892-3 90000. 155 p)
Obun C O, Olafadehan O A, Ayanwale B A and Inuwa M 2008 Growth, carcass and organ weights of finisher broilers fed differently processed Detarium microcarpum (Guill and Sperr) seed meal. Livestock Research for Rural Development 20(8). Retrieved, September 10th, 2008, from http://www.lrrd.org/lrrd20/8/obun20126.htm
Pond W G, Church D C and Pond K R 1995 Basic Animal Nutrition and Feeding. (4th edition. ISBN, 0-471-308664-1. USA. 615 p)
SAS Institute Inc. 2004 Qualification Tools User’s Guide. Statistic Analysis System Procedure. Version 9.1.2. (SAS Institute Inc. Cary NC, USA)
Smith A J 1996 Poultry. (First published 1996 by Macmillan Education Limited, London Oxford. ISBN 0-333-52306-7. 218 p)
Svihus B, Uhlen A K and Harstad O M 2005 Effect of starch granule structure, associated components and processing on nutritive value of cereal starch: A review. Animal Feed Science and Technology 122:300-320
Thomson E and Nolan J 2001 UNEForm: a powerfull feed formulation spreadsheet suitable for teaching or on-farm formulation. Animal Feed Science and Techology 91:233-240
Wilcox J R and Shibles R M 2001 Interrelationships among seed quality attributes in soybean. Crop Science, 41:11-14. Retrieved August 4th, 2008, from http://crop.scijournals.org/cgi/reprint/41/1/11
Yo T, Siegel P B, Faure M J and Picard M 1998 Self-selection of dietary protein and energy by broilers grown under a tropical climate: adaptation when exposed to choice feeding at different ages. Poultry Science 77:502-508
Received 4 November 2008; Accepted 2 December 2008; Published 1 February 2009