Estimation of digestible zinc and copper in pigs: a meta-analysis approach

被引:0
|
作者
Ketata, Mohamed Ali [1 ]
Letourneau-Montminy, Marie-Pierre [1 ]
Guay, Frederic [1 ]
机构
[1] Laval Univ, Dept Anim Sci, Quebec City, PQ G1V 0A6, Canada
关键词
zinc; copper; digestibility; meta-analysis; phytase; pig; TOTAL TRACT DIGESTIBILITY; NUTRIENT DIGESTIBILITY; GROWING PIGS; GROWTH-PERFORMANCE; MICROBIAL PHYTASE; FED DIETS; MINERAL UTILIZATION; INCREASING LEVELS; IN-VITRO; BIOAVAILABILITY;
D O I
10.1139/CJAS-2023-0064
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
The objective of this study was to quantify the impact of Zn and Cu supplementation and nutritional factors on the digestible content of these minerals using a meta-analysis approach. A database derived from 24 publications and describing 142 experimental treatments was compiled. A model showed that positive effects of chelated, (linear and quadratic, P < 0.01) and inorganic Zn supplementation (P < 0.05) (linear and quadratic, P < 0.01), Zn from ingredients (linear, P < 0.01) and a negative linear effect of dietary Cu concentration (P = 0.067; R-2= 94%) on digestible Zn content. In other model, addition of phytase showed linear improvement of digestible Zn (P < 0.01; R-2= 96%). For digestible Cu, a model showed that chelated and inorganic Cu supplementation (P < 0.01) linearly increased digestible Cu while dietary Zn level decreased it (P < 0.01; R-2 = 93%). Dietary phytase did not impact digestible content of Cu. The digestibility of Zn and Cu depends on dietary supplementation of these minerals in diets but also on the interaction between these minerals. Finally, phytase supplementation improves digestible Zn content but not Cu.
引用
收藏
页码:132 / 141
页数:10
相关论文
共 50 条
  • [31] Low Serum Levels of Zinc, Copper, and Iron as Risk Factors for Osteoporosis: a Meta-analysis
    Jianmao Zheng
    Xueli Mao
    Junqi Ling
    Qun He
    Jingjing Quan
    Biological Trace Element Research, 2014, 160 : 15 - 23
  • [32] Meta-analysis of recommended digestible lysine levels for primiparous lactating sows
    Lima Garcia, Amelia Maria
    Kiefer, Charles
    Ribeiro de Souza Nascimento, Karina Marcia
    Lehnen, Cheila Roberta
    Hauschild, Luciano
    Silva, Camilla Mendonca
    da Silva Alencar, Stephan Alexander
    Rodrigues, Gabriela Puhl
    CIENCIA RURAL, 2020, 50 (11):
  • [33] Prediction of the amino acid digestibility of legume seeds in growing pigs: a meta-analysis approach
    Messad, F.
    Letourneau-Montminy, M. P.
    Charbonneau, E.
    Sauvant, D.
    Guay, F.
    ANIMAL, 2018, 12 (05) : 940 - 949
  • [34] Meta-analysis of the Relationship Between Zinc and Copper in Patients with OsteoarthritisMeta-analysis of the Relationship Between Zinc and Copper in Patients with OsteoarthritisZ. Haowei et al
    Haowei Zhou
    Yuchen Zhang
    Tian Tian
    Bingqian Wang
    Yalei Pan
    Biological Trace Element Research, 2025, 203 (2) : 635 - 645
  • [35] Effects of Pharmacological Concentrations of Dietary Zinc Oxide on Growth of Post-weaning Pigs: A Meta-analysis
    Sales, James
    BIOLOGICAL TRACE ELEMENT RESEARCH, 2013, 152 (03) : 343 - 349
  • [36] Effects of Pharmacological Concentrations of Dietary Zinc Oxide on Growth of Post-weaning Pigs: A Meta-analysis
    James Sales
    Biological Trace Element Research, 2013, 152 : 343 - 349
  • [37] Association between serum copper/zinc ratio and lung cancer: A systematic review with meta-analysis
    Zhang, Ling
    Shao, Ji
    Tan, Si-Wei
    Ye, Hai-Peng
    Shan, Xiao-Yue
    JOURNAL OF TRACE ELEMENTS IN MEDICINE AND BIOLOGY, 2022, 74
  • [38] The Verifiability Approach: A Meta-Analysis
    Palena, Nicola
    Caso, Letizia
    Vrij, Aldert
    Nahari, Galit
    JOURNAL OF APPLIED RESEARCH IN MEMORY AND COGNITION, 2021, 10 (01) : 155 - 166
  • [39] Association of Circulating and Aortic Zinc and Copper Levels with Clinical Abdominal Aortic Aneurysm: a Meta-analysis
    Tingting Chen
    Hongliang Zhang
    Yang Zhang
    Mengqi Yang
    Juntao Wu
    Minjun Yang
    Jiangbo Lin
    Weixu Gao
    Lijiang Tang
    Baohui Xu
    Jianjun Jiang
    Xiaofeng Chen
    Biological Trace Element Research, 2021, 199 : 513 - 526
  • [40] A Bayesian approach to meta-analysis
    Mila, A.
    Ngugi, H.
    PHYTOPATHOLOGY, 2009, 99 (06) : S162 - S162