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Determination and prediction of amino acid digestibility in brown rice for growing-finishing pigs

  • Qing Ouyang (College of Animal Science and Technology, Hunan Agricultural University, Hunan CoInnovation Center of Animal Production Safety) ;
  • Rui Li (College of Animal Science and Technology, Hunan Agricultural University, Hunan CoInnovation Center of Animal Production Safety) ;
  • Ganyi Feng (Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences) ;
  • Gaifeng Hou (Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences) ;
  • Xianji Jiang (College of Animal Science and Technology, Hunan Agricultural University, Hunan CoInnovation Center of Animal Production Safety) ;
  • Xiaojie Liu (College of Animal Science and Technology, Hunan Agricultural University, Hunan CoInnovation Center of Animal Production Safety) ;
  • Hui Tang (College of Animal Science and Technology, Hunan Agricultural University, Hunan CoInnovation Center of Animal Production Safety) ;
  • Ciming Long (Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences) ;
  • Jie Yin (College of Animal Science and Technology, Hunan Agricultural University, Hunan CoInnovation Center of Animal Production Safety) ;
  • Yulong Yin (Key Laboratory of Agro-Ecological Processes in Subtropical Region, National Engineering Laboratory for Poultry Breeding Pollution Control and Resource Technology, Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences)
  • 투고 : 2023.10.31
  • 심사 : 2024.02.18
  • 발행 : 2024.08.01

초록

Objective: The experiment aimed to determine the standardized ileal digestibility (SID) of crude protein (CP) and amino acids (AA) in 10 brown rice samples fed to pigs, and to construct predictive models for SID of CP and AA based on the physical characteristics and chemical composition of brown rice. Methods: Twenty-two cannulated pigs (initial body weight: 42.0±1.2 kg) were assigned to a replicated 11×3 incomplete Latin square design, including an N-free diet and 10 brown rice diets. Each period included 5 d adaptation and 2 d ileal digesta collection. Chromic oxide was added at 0.3% to all the diets as an indigestible marker for calculating the ileal CP and AA digestibility. Results: The coefficients of variation of all detected indices for physical characteristics and chemical composition, except for bulk weight, dry matter (DM) and gross energy, in 10 brown rice samples were greater than 10%. The SID of CP, lysine (Lys), methionine, threonine (Thr), and tryptophan (Trp) in brown rice was 77.2% (62.6% to 85.5%), 87.5% (80.3% to 94.3%), 89.2% (78.9% to 98.9%), 55.4% (46.1% to 67.6%) and 92.5% (86.3% to 96.3%), respectively. The best prediction equations for the SID of CP, Lys, Thr, and Trp were as following, SIDCP = -664.181+8.484×DM (R2 = 0.40), SIDLys = 53.126+6.031×ether extract (EE)+0.893×thousand-kernel volume (R2 = 0.66), SIDThr = 39.916+7.843×EE (R2 = 0.41), and SIDTrp = -361.588+4.891×DM+0.387×total starch (R2 = 0.85). Conclusion: Overall, a great variation exists among 10 sources of brown rice, and the thousand-grain volume, DM, EE, and total starch can be used as the key predictors for SID of CP and AA.

키워드

과제정보

This study is supported by grants from the National Key Research and Development Program (2021YFD1300201), the Key Project of Science and Technology of Yunnan Province (202202AE090032), the Natural Science Foundation of Hunan Province (2022JJ40532), the Open Fund of Key Laboratory of Agro-ecological Processes in Subtropical Region, Chinese Academy of Sciences (ISA2021103, ISA 2023201)

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