Establishment and Correlation Analysis of Milk Composition Model of Chinese Holstein Cows with Different Lactation Levels in Beijing Area

WU Fuxin; TONG Jinjin; ZHANG Hua; MAO Shengyong; XIONG Benhai; MA Zhu; JIANG Linshu

doi:10.3969/j.issn.1006-267x.2020.07.030

2020 , Vol. 32 >Issue 7: 3199 - 3213

DOI: https://doi.org/10.3969/j.issn.1006-267x.2020.07.030

Establishment and Correlation Analysis of Milk Composition Model of Chinese Holstein Cows with Different Lactation Levels in Beijing Area

WU Fuxin ,
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 Cow Center Shounong Group, Beijing 100085, China

Received date: 2020-01-09

Online published: 2020-07-15

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Abstract

In order to explore the characteristics of lactation yield and milk composition of Chinese Holstein dairy cows with different lactation levels in Beijing area, this study applied a curve regression analysis method to build models of lactation yield and milk composition changes. Based on the data recorded by Affitin's online milk composition analyzer for Chinese Holstein cows in Beijing area from 2016 to 2019, the models of changes in lactation yield and milk composition with lactation days were built, and the difference in milk composition-lactation time curve and the correlation between lactation yield and electrical conductivity and each milk composition of Chinese Holstein cows with different levels of lactation were analyzed. The results showed that Chinese Holstein cows with different lactation levels had extremely significant differences in milk composition and lactation yield (P<0.01). A comparative analysis of each curve model showed that the cubic model could well fit the milk composition-lactation days curves of Chinese Holstein cows with different lactation levels in Beijing area. The lactose rate, milk fat rate, milk protein rate and lipoprotein ratio of high and low-yielding cows at different lactation stages had significant or extremely significant correlations with lactation yield and electrical conductivity (P<0.05 or P<0.01). It can be seen that lactation yield and electrical conductivity are important factors that cause changes in milk composition. Therefore, it is of practical significance to fit and analyze dairy cows with different lactation levels.

Key words： dairy cows; lactation yield; milk composition; curvilinear regression analysis

Cite this article

WU Fuxin , TONG Jinjin , ZHANG Hua , MAO Shengyong , XIONG Benhai , MA Zhu , JIANG Linshu . Establishment and Correlation Analysis of Milk Composition Model of Chinese Holstein Cows with Different Lactation Levels in Beijing Area[J]. Chinese Journal of Animal Nutrition, 2020 , 32(7) : 3199 -3213 . DOI: 10.3969/j.issn.1006-267x.2020.07.030

References

[1] ZEMPLENI J,AGUILAR-LOZANO A,SADRI M,et al.Biological activities of extracellular vesicles and their cargos from bovine and human milk in humans and implications for infants[J].The Journal of Nutrition,2016,147(1):3-10.
[2] 国务院办公厅.国务院办公厅关于推进奶业振兴保障乳品质量安全的意见[EB/OL].(2018-06-11).http://www.gov.cn/zhengce/content/2018-06/11/content_5297839.htm.
[3] KATZ G,MERIN U,BEZMAN D,et al.Real-time evaluation of individual cow milk for higher cheese-milk quality with increased cheese yield[J].Journal of Dairy Science,2016,99(6):4178-4187.

[4] MACRAE A.Assessment of energy balance in dairy cattle[J].Livestock,2019,24(5):229-235.

[5] CHESTER-JONES H,HEINS B J,ZIEGLER D,et al.Relationships between early-life growth,intake,and birth season with first-lactation performance of Holstein dairy cows[J].Journal of Dairy Science,2017,100(5):3697-3704.

[6] WELLER J I,EZRA E.Genetic and phenotypic analysis of daily Israeli Holstein milk,fat,and protein production as determined by a real-time milk analyzer[J].Journal of Dairy Science,99(12):9782-9795.
[7] MEIR Y A B,NIKBACHAT M,FORTNIK Y,et al.Eating behavior,milk production,rumination,and digestibility characteristics of high-and low-efficiency lactating cows fed a low-roughage diet[J].Journal of Dairy Science,2018,101(12):10973-10984.

[8] 吴富鑫,童津津,张华,等.不同泌乳量奶牛行为学差异及其与泌乳性能的相关性[J].动物营养学报,2019,31(7):3156-3163.
[9] TONG J J,ZHANG H,YANG D L,et al.Illumina sequencing analysis of the ruminal microbiota in high-yield and low-yield lactating dairy cows[J].PLoS One,2018,13(11):e198225.
[10] ZHANG H,TONG J J,ZHANG Y H,et al.Metabolomics reveals potential biomarkers in the rumen fluid of dairy cows with different levels of milk productionJ].Asian-Australasian Journal of Animal Sciences,2019,33(1):79-90.
[11] 李欣,温万,脱征军,等宁夏地区荷斯坦奶牛产奶量以及乳成分变化模型的构建与分析[J]. 中国畜牧杂志(11):40-46.
[12] DÓREA J R R,FRENCH E A,ARMENTANO L E.Use of milk fatty acids to estimate plasma nonesterified fatty acid concentrations as an indicator of animal energy balance[J].Journal of Dairy Science,2017,100(8):6164-6176.

[13] BERRY D P,FRIGGENS N C,LUCY M,et al.Milk production and fertility in cattle[J].Annual Review of Animal Biosciences,2016,4(1):269-290.

[14] HERVE L,QUESNEL H,VERON M,et al.Milk yield loss in response to feed restriction is associated with mammary epithelial cell exfoliation in dairy cows[J].Journal of Dairy Science,2019,102(3):2670-2685.

[15] KHATUN M,BRUCKMAIER R M,THOMSON P C,et al.Suitability of somatic cell count,electrical conductivity,and lactate dehydrogenase activity in foremilk before versus after alveolar milk ejection for mastitis detection[J].Journal of Dairy Science,2019,102(10):9200-9212.

[16] STEENEVELD W,VERNOOIJ J C M,HOGEVEEN H.Effect of sensor systems for cow management on milk production,somatic cell count,and reproduction[J].Journal of Dairy Science,2015,98(6):3896-3905.

[17] ADDIS M F,BRONZO V,PUGGIONI G M G,et al.Relationship between milk cathelicidin abundance and microbiologic culture in clinical mastitis[J].Journal of Dairy Science,2017,100(4):2944-2953.

[18] 冯军科,周焕梅,刘闯,等.电导率监控奶牛隐性乳房炎阈值的确定及分析[J].中国奶牛,2010(7):47-48.
[19] ROCA A,ROMERO G,ALEJANDRO M,et al.Milk electrical conductivity in Manchega ewes:Variation throughout milking and relation with mammary gland health status[J].Czech Journal of Animal Science,2019,64(7):300-308.

[20] ZHANG F,MURPHY M D,SHALLOO L,et al.An automatic model configuration and optimization system for milk production forecasting[J].Computers and Electronics in Agriculture,2016,128:100-111.
[21] 熊本海,杨亮,杨琴,等.中国北方荷斯坦奶牛乳产量及乳成分变化的普适模型构建[J].畜牧兽医学报,2014,45(12):1939-1948.
[22] 熊本海,马毅,庞之洪,等.天津市中国荷斯坦奶牛乳成分变化规律及模型[J].中国农业科学,2012,45(23):4891-4897.
[23] BEN MEIR Y,NIKBACHAT M,JACOBY S,et al.Effect of lactation trimester and parity on eating behavior,milk production and efficiency traits of dairy cows[J].Animal,2019,13(8):1736-1743.

[24] VAN KNEGSEL A,VAN DEN BRAND H,DIJKSTRA J,et al.Dietary energy source in dairy cows in early lactation:energy partitioning and milk composition[J].Journal of Dairy Science,2007,90(3):1467-1476.

[25] BEN MEIR Y,NIKBACHAT M,PORTNIK Y,et al.Dietary restriction improved feed efficiency of inefficient lactating cows[J].Journal of Dairy Science,2019,102(10):8898-8906.

[26] PETROVSKA S,JONKUS D.Body condition score influence on milk yield productivity in lactation[C]//Zina tniski praktiska konference li dzsvarota lauksaimnieci ba,jelgava,latvia 19-20 februa ri 2015.Latvijas Lauksaimnieci bas Universita te,2015:177-181.
[27] 孙宇,牛连信,张彦林,等.奶牛乳体细胞数的变化规律及其与乳成分的关系[J].畜牧与饲料科学,2009,30(6):133-134.
[28] 赵萌.中国荷斯坦牛不同泌乳阶段乳腺基因差异表达研究[D].硕士学位论文.泰安:山东农业大学,2017.

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