Validation of prediction equations to estimate the nutritive value of broiler chicken diets based on their chemical composition

IF 2.5 2区农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE

Animal Feed Science and Technology Pub Date : 2025-02-18 DOI:10.1016/j.anifeedsci.2025.116272

S. Thiruchchenthuran , F. Zaefarian , M.R. Abdollahi , T.J. Wester , P.C.H. Morel

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Abstract

An experiment was conducted to validate the accuracy of previously published prediction equations developed to estimate the coefficient of apparent ileal digestibility (CAID) and ileal digestible content (IDC) of nitrogen (N), crude fat, starch, calcium (Ca), phosphorus (P), energy, and dry matter (DM) in broilers using the chemical composition of diets. Twenty new diets were formulated to have a wide range of chemical characteristics relevant to commercial diets. The CAID of N, crude fat, starch, Ca, P, energy, and DM of the diets were determined in broiler growers fed ad libitum from 15 to 22 days post-hatch. The chemical composition and in vivo digestibility values were used to validate the prediction equations developed from a previous study. Comparison between the determined values and predicted values was used to assess the accuracy of prediction equations using the coefficient of determination (R²), root mean square error of prediction, concordance correlation coefficient (CCC), and mean bias (MB). The most accurate prediction was achieved in terms of R² and CCC for CAID of energy and DM (R² = 0.57 and 0.66, CCC = 0.45 and 0.47, respectively) as well as for IDC of N, starch, energy, and DM (R² = 0.90, 1.00, 0.65, and 0.66, CCC = 0.48, 0.97, 0.51, and 0.47, respectively). The R² and CCC values obtained for CAID of N, crude fat, starch, Ca, and P and IDC of Ca and P were not consistent with the expectation of predictive performance. The R² for IDC of crude fat was high (0.94), however, CCC was moderate (0.43). The determined MB values showed that some equations underpredicted (CAID and IDC of N, crude fat, starch, energy, and DM) and some overpredicted (CAID of Ca and P and IDC of P) the observed values of in vivo study. In conclusion, the equations obtained for CAID of energy and DM as well as IDC of N, starch, energy, and DM could be considered the best fit according to R² and CCC. Moreover, this study highlights the importance of validation with external data before applying each prediction equation to practical situations.

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肉鸡日粮化学成分营养价值预测方程的验证

本试验旨在验证利用饲粮化学成分估算肉仔鸡氮(N)、粗脂肪、淀粉、钙（Ca）、磷(P)、能量和干物质（DM）表观回肠消化率系数（CAID）和回肠可消化含量（IDC）的预测公式的准确性。研制了20种新型日粮，它们具有与商业日粮相关的广泛化学特性。在孵化后15 ~ 22 d自由饲喂肉鸡，测定饲粮中氮、粗脂肪、淀粉、钙、磷、能量和干物质的CAID。化学成分和体内消化率值用于验证先前研究中建立的预测方程。采用决定系数（R2）、预测均方根误差（root mean square error）、一致性相关系数（CCC）和平均偏倚（mean bias， MB）对预测方程的准确性进行比较。对于能量和DM的CAID （R2 = 0.57和0.66,CCC = 0.45和0.47）以及N、淀粉、能量和DM的IDC (R2 = 0.90、1.00、0.65和0.66,CCC = 0.48、0.97、0.51和0.47)，R2和CCC预测最准确。N、粗脂肪、淀粉、Ca、P的CAID和Ca、P的IDC的R2和CCC值与预测性能的预期不一致。粗脂肪IDC的R2为高（0.94），CCC为中等（0.43）。测定的MB值表明，有些方程低估了（N、粗脂肪、淀粉、能量和DM的CAID和IDC），有些方程高估了（Ca、P的CAID和P的IDC）体内研究的观测值。综上所述，根据R2和CCC，可以认为得到的能量和DM的CAID方程以及N、淀粉、能量和DM的IDC方程拟合最佳。此外，本研究强调了在将每个预测方程应用于实际情况之前使用外部数据验证的重要性。

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来源期刊

Animal Feed Science and Technology 农林科学-奶制品与动物科学

CiteScore

6.00

自引率

6.20%

发文量

266

审稿时长

3 months

期刊介绍： Animal Feed Science and Technology is a unique journal publishing scientific papers of international interest focusing on animal feeds and their feeding. Papers describing research on feed for ruminants and non-ruminants, including poultry, horses, companion animals and aquatic animals, are welcome. The journal covers the following areas: Nutritive value of feeds (e.g., assessment, improvement) Methods of conserving and processing feeds that affect their nutritional value Agronomic and climatic factors influencing the nutritive value of feeds Utilization of feeds and the improvement of such Metabolic, production, reproduction and health responses, as well as potential environmental impacts, of diet inputs and feed technologies (e.g., feeds, feed additives, feed components, mycotoxins) Mathematical models relating directly to animal-feed interactions Analytical and experimental methods for feed evaluation Environmental impacts of feed technologies in animal production.