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Journal of Integrative Agriculture  2017, Vol. 16 Issue (04): 921-929    DOI: 10.1016/S2095-3119(16)61483-1
Animal Science · Veterinary Science Advanced Online Publication | Current Issue | Archive | Adv Search |
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
PAN Xiao-hua1, 2, YANG Liang1, Yves Beckers2, XIONG Ben-hai1, JIANG Lin-shu3

1 State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China

2 University of Liège, Gembloux Agro-Bio Tech, Precision Livestock and Nutrition, B-5030 Gembloux, Belgium 

3 Beijing Key Laboratory for Dairy Cow Nutrition, Beijing University of Agriculture, Beijing 102206, P.R.China

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Abstract  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.
Keywords:  dairy cows      dry matter intake      model comparison      mixed forage      corn stover  
Received: 25 March 2016   Accepted:
Fund: 

The study was financially supported by the National Natural Science Foundation of China (31572435) and the National Key Research and Development Plan (2016YFD0700205, 2016YFD0700201)

Corresponding Authors:  XIONG Ben-hai, Tel: +86-10-62811680, Fax: +86-10-62815988, E-mail: bhxiong@iascaas.net.cn; JIANG Lin-shu, Tel: +86-10-80796368, E-mail: jls@bac.edu.cn    
About author:  PAN Xiao-hua, Mobile: +86-18612254826, E-mail: panxiaohuacaas@163.com

Cite this article: 

PAN Xiao-hua, YANG Liang, Yves Beckers, XIONG Ben-hai, JIANG Lin-shu. 2017. 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. Journal of Integrative Agriculture, 16(04): 921-929.

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