Determination and Prediction of Standardized Mineral Availabilities in Different Sources of Soybean Meals for Broilers.
- 1Poultry Mineral Nutrition Laboratory, College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, China.
- 2Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Abstract
This study was conducted to estimate the standardized mineral availabilities (SMAs) of 10 soybean meals (SBMs) fed to broilers, and prediction models were developed and validated based on chemical properties. A total of 308 broilers (22 d of age), having similar initial body weights, were assigned at random to 11 dietary groups, with 7 replicate cages per group and 4 broilers per cage. On d 26, the broilers were given 4 h access to either a mineral-free diet or 10 test SBM-formulated diets. Fecal collection then proceeded for 52 h for SMA measurement. SMA-prediction models were established via stepwise regression using data from 9 SBMs, with the remaining SBM randomly used to validate the models' accuracy. Soybean meal source influenced (p < 0.02) SMAs in broilers. Manganese (Mn) exhibited the lowest standardized availability (SA) at 30.4%, whereas calcium (Ca) showed the highest SA at 66.2%. Six prediction models for SAs of potassium (K), Ca, phosphorus (P), zinc (Zn), Mn, and copper (Cu) in SBMs for broilers were developed from the chemical properties, exhibiting R² values spanning 0.487 to 0.964 (p < 0.04). The prediction model for standardized Ca availability provided the best goodness-of-fit (R² = 0.964, p < 0.001). By contrast, this model for standardized Cu availability performed the worst (R² = 0.487, p = 0.037). Except for Zn and Mn, the predicted SAs for Ca, P, K, and Cu were generally consistent with the measured values. Taken together, the constructed prediction models in our work can serve as a reliable tool for quickly predicting the SAs of Ca, P, K, and Cu in SBMs for broilers.
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BibTeX
@article{hu2026determination,
title = {{Determination and Prediction of Standardized Mineral Availabilities in Different Sources of Soybean Meals for Broilers.}},
author = {Yun Hu and Fanchi Meng and Xin Du and Wenpeng Chen and Liyang Zhang and Xiaoyan Cui and Tingting Li and Shengchen Wang and Chuanlong Wang and Xugang Luo},
journal = {Animals : an open access journal from MDPI},
year = {2026},
month = oct,
doi = {10.3390/ani16203251},
url = {https://europepmc.org/article/MED/42939182},
note = {CC BY},
}
RIS
TY - JOUR
TI - Determination and Prediction of Standardized Mineral Availabilities in Different Sources of Soybean Meals for Broilers.
AU - Yun Hu
AU - Fanchi Meng
AU - Xin Du
AU - Wenpeng Chen
AU - Liyang Zhang
AU - Xiaoyan Cui
AU - Tingting Li
AU - Shengchen Wang
AU - Chuanlong Wang
AU - Xugang Luo
PY - 2026
DA - 2026/10/16
JO - Animals : an open access journal from MDPI
DO - 10.3390/ani16203251
UR - https://europepmc.org/article/MED/42939182
AB - This study was conducted to estimate the standardized mineral availabilities (SMAs) of 10 soybean meals (SBMs) fed to broilers, and prediction models were developed and validated based on chemical properties. A total of 308 broilers (22 d of age), having similar initial body weights, were assigned at random to 11 dietary groups, with 7 replicate cages per group and 4 broilers per cage. On d 26, the broilers were given 4 h access to either a mineral-free diet or 10 test SBM-formulated diets. Fecal collection then proceeded for 52 h for SMA measurement. SMA-prediction models were established via stepwise regression using data from 9 SBMs, with the remaining SBM randomly used to validate the models' accuracy. Soybean meal source influenced (p < 0.02) SMAs in broilers. Manganese (Mn) exhibited the lowest standardized availability (SA) at 30.4%, whereas calcium (Ca) showed the highest SA at 66.2%. Six prediction models for SAs of potassium (K), Ca, phosphorus (P), zinc (Zn), Mn, and copper (Cu) in SBMs for broilers were developed from the chemical properties, exhibiting R² values spanning 0.487 to 0.964 (p < 0.04). The prediction model for standardized Ca availability provided the best goodness-of-fit (R² = 0.964, p < 0.001). By contrast, this model for standardized Cu availability performed the worst (R² = 0.487, p = 0.037). Except for Zn and Mn, the predicted SAs for Ca, P, K, and Cu were generally consistent with the measured values. Taken together, the constructed prediction models in our work can serve as a reliable tool for quickly predicting the SAs of Ca, P, K, and Cu in SBMs for broilers.
SN - 2076-2615
ER -