Difference of Milk Composition in High and Low Yield Dairy Cows and Its Influence on Milk Energy Prediction Model

NIU Hui; TONG Jinjin; ZHANG Hua; MAO Shengyong; XIONG Benhai; MA Zhu; JIANG Linshu

doi:10.3969/j.issn.1006-267x.2020.07.031

Chinese Journal of Animal Nutrition >

2020 , Vol. 32 >Issue 7: 3214 - 3223

DOI: https://doi.org/10.3969/j.issn.1006-267x.2020.07.031

Difference of Milk Composition in High and Low Yield Dairy Cows and Its Influence on Milk Energy Prediction Model

NIU Hui ,
TONG Jinjin ,
ZHANG Hua ,
MAO Shengyong ,
XIONG Benhai ,
MA Zhu ,
JIANG Linshu

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1. Beijing Key Laboratory of Dairy Cattle Nutrition, Institute of Animal Science and Technology, Beijing University of Agriculture, Beijing 102206, China;
2. Institute of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China;
3. Beijing Institute of Animal Husbandry and Veterinary Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China;
4. Beijing Dairy Cattle Center, Beijing 100085, China

Received date: 2020-01-20

Online published: 2020-07-15

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Abstract

Based on dairy herd improvement (DHI) data of dairy cows from a dairy farm in Beijing (1 to 4 parities in 2016-2019), this study analyzed the performance of 185 high yield dairy cows and 158 low yield dairy cows, aiming to explore the difference of milk composition between high and low yield dairy cows by analyzing the correlation between milk yield and milk composition. At the same time, milk energy was calculated according to the suggestion of Dairy Cattle Feeding Standard, the fitting curves of milk energy of high and low yield dairy cows with lactation time were explored, and the milk energy prediction models of high and low yield dairy cows at different lactation periods were established. The results showed that there were significant differences in milk fat percentage, milk protein percentage and milk somatic cell count (SCC) between high and low yield dairy cows (P<0.01). There was a significant negative correlation between milk fat percentage, milk protein percentage, milk SCC and milk yield (r=-0.851, r=-0.654, r=-0.811, P<0.01). The milk energy of high and low yield dairy cows decreased firstly and then increased with lactation time, and the turning point was about at 60 days of lactation. According to the milk yield, the milk energy prediction models of high and low yield dairy cows were constructed respectively before and after 60 days of lactation. For high yield dairy cows, the optimal milk energy model before 60 days of lactation was E=4.573-0.031X(R²=0.918, residual range:-0.957 8 to 1.432 7, P<0.01, n=7 400)(in the formula, E mean milk energy and X mean milk yield, the same as below), and the optimal milk energy model after 60 days of lactation was E=3.890-0.019X (R²=0.980, residual range:-0.968 0 to 1.590 6, P<0.01, n=7 400). For low yield dairy cows, the optimal milk energy model before 60 days of lactation was E=4.280-0.038X (R²=0.958, residual range:-0.959 3 to 1.457 3, P<0.01, n=6 320), and the optimal milk energy model after 60 days of lactation was E=4.178-0.034X (R²=0.887, residual range:-1.197 6 to 1.589 5, P<0.01, n=6 320). This study analyzed the differences of milk compositions between high and low yield dairy cows, and concluded that milk fat percentage, milk protein percentage, milk SCC of high yield dairy cows are significantly lower than those of low yield dairy cows. In addition, the milk energy prediction models of high and low yield dairy cows in different lactation periods are established in this study, which can predict the net energy requirement for lactation of dairy cows, so as to adjust the forge structure for dairy farms, and achieve the best production condition of dairy cows.

Key words： high yield dairy cows; low yield dairy cows; milk composition; milk yield; milk energy; prediction model

Cite this article

NIU Hui , TONG Jinjin , ZHANG Hua , MAO Shengyong , XIONG Benhai , MA Zhu , JIANG Linshu . Difference of Milk Composition in High and Low Yield Dairy Cows and Its Influence on Milk Energy Prediction Model[J]. Chinese Journal of Animal Nutrition, 2020 , 32(7) : 3214 -3223 . DOI: 10.3969/j.issn.1006-267x.2020.07.031

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