Establishment of Prediction Model of Milk Energy and Milk Composition Analysis of Yunnan Buffalo

LI Qing, MAO Huaming, LI Wen, LI Jianhua, LU Qiongfen, HE Hongyuan, LIU Qin

doi:10.3969/j.issn.1006-267x.2017.08.032

Chinese Journal of Animal Nutrition >

2017 , Vol. 29 >Issue 8: 2875 - 2883

DOI: https://doi.org/10.3969/j.issn.1006-267x.2017.08.032

Molecular Nutrition

Establishment of Prediction Model of Milk Energy and Milk Composition Analysis of Yunnan Buffalo

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1. College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China;
2. Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, Kunming 650201, China;
3. College of Life Science and Chemistry, Hunan University of Technology, Zhuzhou 412007, China;
4. Animal Husbandry and Veterinary Station of Anning, Kunming 650300, China;
5. Dairy Production Performance Measurement Center of Kunming, Kunming 650041, China

Received date: 2017-01-01

Online published: 2017-08-02

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Abstract

This experiment was conducted to analysis the contents of milk fat, milk protein, milk lactose and milk urea nitrogen of buffalo milk and those correlation with milk energy, and to established the prediction model of milk production net energy for scientific feeding management of lactating dairy buffalo. A total of 304 milk samples were collected from the main milk buffalo farms and farming communities in Yunnan province at 2014 to 2015 years 9 to 12 months, which were sent to Kunming Milk Production Center. The milk composition of the buffalo milk was detected by the MilkoScan FT+FC and MilkoScan FT 120 analyzer in Kunming Dairy Production Center, and milk energy was determined by oxygen bomb calorimeter after constant temperature drying in vacuum drying oven. The results showed that milk fat, milk protein, milk lactose, milk urea nitrogen, milk total solids and milk energy were 6.45%, 4.55%, 5.31%, 13.60 mg/dL, 18.77% and 4.02 MJ/kg, respectively. And there was significant positive correlation between milk energy and milk fat, milk protein (r=0.896 0, r=0.563 0, P<0.01). The milk energy was greater impacted by milk fat and milk protein. Moreover, the fitting degrees of the one, two, three and four regression equations were above 0.90 to predict the net energy (E) of buffalo milk by using milk fat (F), milk fat and milk protein (F and P), milk fat, milk protein and milk lactose (F, P and La), milk fat, milk protein, milk lactose and milk urea nitrogen contents (F, P, La and MUN) as predictors, and regression equations were as followed: E=0.388F+1.540 (R²=0.933 6, P<0.01); E=0.373F+0.221P+0.460 (R²=0.926 7, P<0.01); E=0.396F+0.186P+0.105La-0.104 (R²=0.954 0, P<0.01); E=0.397F+0.187P+0.106La+0.002MUN-0.146 (R²=0.958 0, P<0.01). In conclusion, the milk production net energy can be predicted by the contents of milk fat, milk protein, milk lactose and milk urea nitrogen of buffalo milk.

Key words： buffalo milk; milk composition; milk energy; prediction model

Cite this article

LI Qing, MAO Huaming, LI Wen, LI Jianhua, LU Qiongfen, HE Hongyuan, LIU Qin . Establishment of Prediction Model of Milk Energy and Milk Composition Analysis of Yunnan Buffalo[J]. Chinese Journal of Animal Nutrition, 2017 , 29(8) : 2875 -2883 . DOI: 10.3969/j.issn.1006-267x.2017.08.032

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