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A Box-Behnken Assessment of Fishmeal and Sorghum Inclusions in Broiler Diets with Three Crude Protein Levels on Growth Performance from 14 to 35 Days Post-Hatch

Published: June 22, 2023
By: S.P. MACELLINE 1, 2; P.V. CHRYSTAL 1, 3; M TOGHYANI 1, 2; P.H. SELLE 2 and S.Y. LIU 1, 2 / 1 School of Life and Environmental Science, Faculty of Science The University of Sydney, NSW 2006, Australia; 2 Poultry Research Foundation, The University of Sydney, Camden, NSW, 2570, Australia; 3 Baiada Poultry, Pendle Hill, NSW2570, Australia.
Summary

The objective of this study was to investigate the impacts of starch and protein digestive dynamics on broiler growth performance using Box-Behnken response surface design. The design consisted of three factors (i) sorghum, (ii) fish meal, (iii) crude protein each at three levels. Thirteen wheat-soybean meal-based diets were offered to 390 off-sex male (Ross 308) broilers from 14 to 35 days post-hatch. The Box-Behnken design established that crude protein and fish meal inclusions influence weight gain and feed intake where maximum weight gain (2157 g/b) and feed intake (3330 g/b) were observed in birds offered 190 g/kg crude protein diets. Fish meal inclusions linearly compromised FCR which was more evident in 190 g/kg CP diets.

I. INTRODUCTION
The inclusion of 175 g/kg fishmeal, essentially at the expense of soybean meal, in sorghum-based broiler diets was shown to improve weight gain by 12.1% (1260 versus 1124; P < 0.001) and feed conversion ratio by 8.13% (1.299 versus 1.414; P < 0.001) from 15 to 28 days post-hatch (Sydenham et al., 2017). The dietary treatments had an average crude protein (CP) content of 222 g/kg in this study. Slowly digestible starch has been shown to advantage broiler performance (Herwig et al., 2019) and the digestion rate of sorghum starch is very considerably slower than wheat starch under in vitro conditions (Giuberti et al., 2012). Differences in starch digestion rates across various feed grains are probably not as pronounced in broiler chickens; nevertheless, starch digestion rates in broiler chickens offered wheat-based diets have been shown to be 56.0% more rapid (0.117 versus 0.075 min-1; P < 0.025) than their sorghum-based counterparts where a number of feed grains were compared (Selle et al., 2020a). There is real interest in the development of reduced-CP for broiler chickens as their adoption would promote sustainable chicken-meat production (Selle et al., 2020b). Interestingly, the partial replacement of soybean meal with alternative rapidly digestible sources of amino acids, namely whey protein and non-bound (crystalline, synthetic) amino acids, in wheat-based diets have been shown to enhance broiler performance (Macelline et al., 2020). This, and similar outcomes, emphasise the potential of starch and protein digestive dynamics to manipulate the growth performance of broiler chickens to advantage (Liu and Selle, 2017). Therefore, the objective of the present study was to assess the impacts of fishmeal and sorghum inclusions in diets based on wheat and soybean meal with three dietary CP levels via a Box-Behknen response surface design. The three dietary CP levels were 190, 210 and 230 g/kg, fishmeal was included at 0, 50 and 100 g/kg essentially at the expense of soybean meal and sorghum was included at 0, 150, and 300 g/kg at the expense of wheat.
II. MATERIAL AND METHODS
This feeding study was conducted in compliance with the guidelines of the Animal Ethics Committee of The University of Sydney. A total of 390 off-sex 14-days old male broilers (Ross 308) were randomly distributed into 65 battery cages each of 6 birds (13 treatments × 5 replicates). The cumulative variance of average body weights was maintained at 1.02% between cages. Fishmeal (CP = 600 g/kg, Menhaden) and sorghum served as alternative protein and starch sources, respectively, under three dietary protein regimes. The Box-Behnken design comprises three factors at three levels (Table 1). Thirteen diets based on wheat and soybean meal were formulated to have the same digestible lysine (10 g/kg) and metabolizable energy (13.0 MJ/kg). The diets were cold-pelleted and contained xylanase but not phytase. Dietary compositions and nutrient specifications are shown in Table 2. Birds were offered the same wheat-soybean meal based commercial starter diet (with coccidiostat, xylanase and phytase) from day 1 to 13 post-hatch and weight gains, feed intakes and FCRs were determined from 14 to 35 days post-hatch. The R 3.5.3 software program was used to plot the surface responses of growth performance parameters, which were fitted by predicted models only with significant terms. JMP Pro 14 was used to perform analyses of variance and to establish correlations when relevant and a 5% probability level was deemed to be significant.
Table 1 Experimental factors and levels used in the Box-Behnken design
Table 1 Experimental factors and levels used in the Box-Behnken design
Table 2 Composition and calculated nutrient specification in experimental diets (g/kg)
Table 2 Composition and calculated nutrient specification in experimental diets (g/kg)
III. RESULTS
The summary of growth performance results is shown in Table 3 and the mortality rate was only 1.28% during the experimental period. Overall performance is comparable to 2019 Ross 308 male performance objectives for weight gain (1912 versus 1849 g/bird) and feed intake (3058 versus 2921 g/bird) and approached the FCR objective (1.601 versus 1.580). The response surface for weight gain is illustrated in Figure 1 where the following equation provides the best fit: 𝑌 = 2981.783 − 43.425𝑋3 − 31.510𝑋2, (R2 = 0.736, P < 0.001). Therefore, both fishmeal and CP had negative impacts on weight gain, irrespective of the inclusion level of sorghum. However, in diets not containing any fishmeal the predicted maximum weight gain of 2157 g/bird was generated by the 190 g/kg CP diets. The response surface for feed intake as influenced by the fishmeal and CP factors is described by following equation, 𝑌 = 13806.511 − 24.72 × 𝑋2 − 956.755 × 𝑋3 + 21.334 × 𝑋32, (R2 = 0.527, P < 0.001). However, dietary CP and sorghum inclusions did not influence FCR and increased fishmeal inclusions linearly increased FCR (𝑌 = 1.532 + 0.0137 × 𝑋2, R2 = 0.436, P < 0.001). Indeed, the sum of the listed amino acids was quadratically related with FCR, such that feed conversion deteriorated as their concentrations declined as illustrated in Figure 3. Apparent digestibilities of starch, protein and amino acids are being determined to confirm our conclusions.
IV. DISCUSSION
Sorghum inclusions did not influence broiler growth performance; thus, the hypothesis that slowly digestible sorghum starch would improve growth performance was not established. The negative impact of fishmeal on broiler growth performance conflicts with the Sydenham et al. (2017) findings; however, there were very real differences in the basal diets between the two studies such as CP levels, types of feed grain and non-bound amino acid inclusion. In addition, the quality of fishmeal can vary as a result of the rendering process. Interestingly, based on specified values, fishmeal inclusions reduced dietary concentrations of proline, alanine, aspartic acid, glutamic acid and serine in diets. Therefore, it appears that fishmeal inclusions may have triggered deficiencies in certain non-essential amino acids.
Aviagen recommendations for Ross 308 broilers from 14 to 39 days post-hatch is 205 g/kg CP with 10.9 g/kg digestible lysine. Moreover, the transition from 230 g/kg to 190 g/kg CP improved weight gains and feed intakes by 9.5% and 8.2% respectively. This is an outstanding finding because reduced-CP diets will help sustain chicken-meat production. However, fishmeal inclusions in 190 g/kg CP diets had more adverse FCR effects than in the 210 and 230 g/kg CP diets. Significant correlation coefficients for fishmeal inclusions on FCR in 190 g/kg CP diets were r = 0.810 as compared to r = 0.654 and 0.614 in the 210 g/kg and 230 g/kg CP diets, respectively. Reduced-CP diets tend to be inherently deficient in non-essential amino acids; however, fishmeal inclusions may have exacerbated these deficiencies in 190 g/kg CP diets. This may be the possible reason for the pronounced impairment in performance of broiler chickens offered 190 g/kg diets containing fishmeal.
Figure 1 The influence of fishmeal inclusion and dietary CP concentration on weight gain in broiler chickens from 14-35 days post-hatch
Figure 1 the influence of fishmeal inclusion and dietary CP concentration on weight gain in broiler chickens from 14-35 days post-hatch
Figure 2 The influence of dietary CP concentration and fishmeal inclusions on feed intake in broiler chickens from 14-35 days post-hatch.
Figure 2 The influence of dietary CP concentration and fishmeal inclusions on feed intake in broiler chickens from 14-35 days post-hatch.
Table 3 Effect of dietary treatments on growth performance
Table 3 Effect of dietary treatments on growth performance
Figure 3. Relationship of dietary non-essential amino acids and FCR from 14-35 days post-hatch
Figure 3. Relationship of dietary non-essential amino acids and FCR from 14-35 days post-hatch
ACKNOWLEDGEMENTS: The authors would like to thank the Australian Research Council Discovery Early Career Researcher Award (DE190101364). This research was also supported by an Australian Government Research Training Programme Scholarship (International) which awarded to Shemil Priyan Macelline.
     
Presented at the 32th Annual Australian Poultry Science Symposium 2021. For information on the next edition, click here.

Giuberti G, Gallo A, Cerioli C, Masoero F (2012) Animal Feed Science and Technology 174:163– 173.

Herwig E, Abbott D, Schwean-Lardner KV, Classen HL (2019) Poultry Science 98: 3676-3684.

Liu SY, Selle PH (2017) Animal Production Science 57: 2250-2256.

Macelline SP, Chrystal PV, Toghyani M, Greenhalgh S, Selle PH, Liu SY (2020) Proceedings of the Australian Poultry Science Symposium 31: 95-98.

Selle PH, Moss AF, Khoddami A, Chrystal PV, Liu SY (2020a) Animal Nutrition (submitted for publication).

Selle PH, Dorigam JCdeP, Lemme A, Chrystal PV, Liu SY (2020b) Animals 10:729.

Sydenham CJ, Truong HH, Moss AF, Selle PH, Liu SY (2017) Animal Feed Science and Technology 227: 32-41.

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Authors:
Shemil Macelline
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Mehdi Toghyani
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Dr Sonia Yun Liu
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