您好,欢迎访问中国农业科学院 机构知识库!

Accuracy comparison of dry matter intake prediction models evaluated by a feeding trial of lactating dairy cows fed two total mixed rations with different forage source

文献类型: 外文期刊

作者: Pan Xiao-hua 1 ; Yang Liang 1 ; Beckers, Yves 2 ; Xiong Ben-hai 1 ; Jiang Lin-shu 3 ;

作者机构: 1.Chinese Acad Agr Sci, Inst Anim Sci, State Key Lab Anim Nutr, Beijing 100193, Peoples R China

2.Univ Liege, Gembloux Agrobio Tech, Precis Livestock & Nutr, B-5030 Gembloux, Belgium

3.Beijing Agr Univ, Beijing Key Lab Dairy Cow Nutr, Beijing 102206, Peoples R China

关键词: dairy cows;dry matter intake;model comparison;mixed forage;corn stover

期刊名称:JOURNAL OF INTEGRATIVE AGRICULTURE ( 影响因子:2.848; 五年影响因子:2.979 )

ISSN: 2095-3119

年卷期: 2017 年 16 卷 4 期

页码:

收录情况: SCI

摘要: Dry matter intake (DMI) prediction models of NRC (2001), Fox et al. (2004) and Fuentes-Pila et al. (2003) were targeted in the present study, and the objective was to evaluate their prediction accuracy with feeding trial data of 32 lactating Holstein cows fed two total mixed rations with different forage source. Thirty-two cows were randomly assigned to one of two total mixed ration groups: a ration containing a mixed forage (MF) of 3.7% Chinese wildrye, 28.4% alfalfa hay and 26.5% corn silage diet and another ration containing 33.8% corn stover (CS) as unique forage source. The actual DMI was greater in MF group than in CS group (P=0.064). The NRC model to predict DMI resulted in the lowest root mean square prediction error for both MF and CS groups (1.09 kg d(-1) vs. 1:28 kg d(-1)) and the highest accuracy and precision based on concordance correlation coefficient for both MF and CS diet (0.89 vs. 0.87). Except the NRC model, the other two models presented mean and linear biases in both MF and CS diets when prediction residuals were plotted against predicted DMI values (P<0.001). The DMI variation in MF was caused by week of lactation (55.6%), milk yield (13.9%), milk fat percentage (7.1%) and dietary neutral detergent fiber (13.3%), while the variation in CS was caused by week of lactation (50.9%), live body weight (28.2%), milk yield (8.4%), milk fat percentage (5.2%) and dietary neutral detergent fibre (3.8%). In a brief, the NRC model to predict DMI is comparatively acceptable for lactating dairy cows fed two total mixed rations with different forage source.

  • 相关文献

[1]Comparison of models for genetic evaluation of number of inseminations to conception in Danish Holstein cows. Hou, Yali,Su, Guosheng,Hou, Yali,Guo, Gang,Guo, Gang,Zhang, Yuan.

[2]Short communication: Effects of replacing part of corn silage and alfalfa hay with Leymus chinensis hay on milk production and composition. Yan, R.,Han, J.,Zhang, Y.,Chen, S.,Undersander, D.,Zhang, Xian.

[3]Supplemental Dietary Methionine Affects the Pelt Quality and Nutrient Metabolism of Raccoon Dogs (Nyctereutes procyonoides). Liu, H.,Li, G.,Zhong, W.,Li, D.,Liu, F.,Sun, W.. 2012

[4]Porous carbons from hydrothermal carbonization of corn stover for highly efficient CO2 capture. Qi, Xinhua,Wang, Yu,Shen, Feng. 2017

[5]Anaerobic and sequential aerobic production of high-titer ethanol and single cell protein from NaOH-pretreated corn stover by a genome shuffling-modified Saccharomyces cerevisiae strain. Ren, Xueliang,Wang, Juncong,Yu, Hui,Peng, Chunlan,Hu, Jinlong,Zhao, Shumiao,Liang, Yunxiang,Peng, Nan,Ruan, Zhiyong,Zhao, Shumiao,Liang, Yunxiang,Peng, Nan,Peng, Nan.

[6]Steam explosion enhances digestibility and fermentation of corn stover by facilitating ruminal microbial colonization. Zhao, Shengguo,Li, Guodong,Zheng, Nan,Wang, Jiaqi,Yu, Zhongtang,Zhao, Shengguo,Li, Guodong,Zheng, Nan,Wang, Jiaqi,Yu, Zhongtang. 2018

[7]Porous carbonaceous materials from hydrothermal carbonization and KOH activation of corn stover for highly efficient CO2 capture. Shen, Feng,Wang, Yu,Li, Luyang,Zhang, Keqiang,Qi, Xinhua,Wang, Yu,Li, Luyang,Smith, Richard L.. 2018

[8]Effect of dietary energy source and level on nutrient digestibility, rumen microbial protein synthesis, and milk performance in lactating dairy cows. Zhou, X. Q.,Wang, J. Q.,Zhou, X. Q.,Zhang, Y. D.,Zhao, M.,Zhang, T.,Zhu, D.,Bu, D. P.,Wang, J. Q.,Bu, D. P.,Bu, D. P..

[9]Differences in the Methanogen Population Exist in Sika Deer (Cervus nippon) Fed Different Diets in China. Li, Zhi Peng,Liu, Han Lu,Jin, Chun Ai,Cui, Xue Zhe,Jing, Yi,Yang, Fu He,Li, Guang Yu,Wright, Andre-Denis G..

[10]Production of a lignocellulolytic enzyme system for simultaneous bio-delignification and saccharification of corn stover employing co-culture of fungi. Ma, Kedong,Ruan, Zhiyong.

[11]Temperature variation of reaction liquid of ultrafine corn stover in photosynthetic hydrogen production. Zhang Quanguo,Hu Jianjun,Guo Jie,Zhang Zhiping,Jing Yanyan,Xu Guangyin,Wang Yi,Wang Yingkuan. 2014

[12]Experimental Study on the Soil-conserving Effects of Polyurethane from Liquefied Corn Stover. Tipeng Wang,Zhihuai Mao. 2009

[13]Integrating Biomass Feedstock with an Existing Grain Handling System for Biofuels. Shahab Sokhansanj,Sam Tagore,Sudhagar Mani. 2009

[14]The diversity and dynamics of fungal communities involved in corn stover ensiling. Lian Tao,Qiyu Diao. 2023

[15]CHARACTERIZATION AND KINETIC STUDY OF ENERGY CROPS AND BIOMASS OF MICROALGAE INDIGENOUS IN SOUTHERN EUROPE FOR BIOGAS. A. I. Parralejo,L. Royano,J. González,J.F. González. 2015

[16]Metabolic Characterization of Dairy Cows Treated with Gossypol by Blood Biochemistry and Body Fluid Untargeted Metabolome Analyses. Tang, Chaohua,Zhang, Kai,Zhan, Tengfei,Zhao, Qingyu,Zhang, Junmin,Tang, Chaohua,Zhang, Kai,Zhan, Tengfei,Zhao, Qingyu,Zhang, Junmin.

[17]Metabolic responses and "omics" technologies for elucidating the effects of heat stress in dairy cows. Min, Li,Zhao, Shengguo,Tian, He,Zhou, Xu,Zhang, Yangdong,Li, Songli,Zheng, Nan,Wang, Jiaqi,Min, Li,Yang, Hongjian.

[18]Effect of dietary supplementation of rutin on lactation performance, ruminal fermentation and metabolism in dairy cows. Cui, K.,Guo, X. D.,Tu, Y.,Zhang, N. F.,Ma, T.,Diao, Q. Y..

[19]Strong, sudden cooling alleviates the inflammatory responses in heat-stressed dairy cows based on iTRAQ proteomic analysis. Cheng, Jianbo,Fan, Caiyun,Cheng, Jianbo,Min, Li,Zheng, Nan,Zhao, Shengguo,Zhang, Yangdong,Wang, Jiaqi,Min, Li. 2018

[20]Effects of heat stress on serum insulin, adipokines, AMP-activated protein kinase, and heat shock signal molecules in dairy cows. Min, Li,Shi, Bao-lu,Zheng, Nan,Wang, Jia-qi,Min, Li,Yang, Hong-jian,Cheng, Jian-bo. 2015

作者其他论文 更多>>