Scientia Agricultura Sinica ›› 2012, Vol. 45 ›› Issue (23): 4891-4897.doi: 10.3864/j.issn.0578-1752.2012.23.016

• ANIMAL SCIENCE·RESOURCE INSECT • Previous Articles     Next Articles

Study on Variation Characteristics of Raw Milk Composition and Curve Models of Chinese Holstein in the City of Tianjin

 XIONG  Ben-Hai, MA  Yi, PANG  Zhi-Hong, YANG  Lu, YI  Miao, YANG  Qin   

  1. 1.Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193
    2.Tianjin City Dairy Cattle Development Center, Tianjin 300384
  • Received:2012-04-23 Online:2012-12-01 Published:2012-07-31

Abstract: 【Objective】 To fulfill the need of seasonal management modification of lactating cows. 【Method】 the effect of natural month, parity, and their interaction on milk components were analyzed in the present study. Data were collected from a DHI database of lactating Chinese Holstein cows in the north part of china. Original data were screened and group according to parity (1-4). A total of 6114 milk protein content records and 5871 milk fat content records were analyzed by GLM procedure of SAS. 【Result】The Duncan multiple comparison of natural months, regardless of parity (only parity 1 to 4), demonstrated that the milk compositions of different months showed significant difference (P<0.05), although the data between some different months showed no significant difference. The milk protein percentage in September reached the highest (3.187%), and in July the lowest (3.016%). Milk fat percentage in February was the highest (4.137%), and in July the lowest (3.845%).The same multiple comparison of different parity, also regardless of different months (1-12 months), demonstrated that the milk composition data of different parities showed significant difference (P<0.05), although the data between some parities showed no significant difference. The milk protein percentage reached the highest in parity 2 (3.114%), and the lowest in parity 4 (3.066%). The milk fat percentage reached highest in parity 2 (3.983%) and parity 3 (3.973%), respectively; and the lowest in parity 4 (3.923%). In addition, the relation equation between the milk protein percentage (MPP, %) or the milk fat percentage (MFP, %) of different parities and the natural months in mixed cow herd was built using Model Wood, i.e. MPP=3.094x-0.0464×e0.0117x, MFP=4.2116x-0.0344×e0.0276x, x as month. 【Conclusion】The natural months, milking parities and their interaction had significant affects on milk composition including milk protein percentage and milk fat percentage, and milk composition had wood pattern changing relationship with natural months respectively.

Key words: Holstein cows , milk compositions , natural months , lactation parity , model

[1]齐利枝, 闫素梅, 生  冉, 敖长金. 奶牛乳腺中乳成分前体物对乳成分影响的研究进展. 动物营养学报, 2011, 23(12): 2077-2083.

Qi L Z, Yan S M, Sheng R, Ao C J. Effects of milk component precursors on milk composition synthesis in the mammary gland of dairy cows: a review. Chinese Journal of Animal Nutrition, 2011, 23(12): 2077-2083. (in Chinese)

[2]http://www.foodjx.com/news/Detail/71745.html, 2011.

[3]易  渺, 熊本海. 从小型奶牛场生产情况看《生乳》新标准. 中国乳业, 2011(12): 14-16.

Yi M, Xiong B H. Some thinking on new standard of raw milk from a small dairy farm production. China Dairy, 2011(12): 14-16. (in Chinese )

[4]Heck J M L, van Valenberg H J F, Dijkstra J, van Hooijdonk A C M. Seasonal variation in the Dutch bovine raw milk composition. Journal of Dairy Science, 2012, 92(10): 4745-4755.

[5]Maurice-Van Eijndhoven M H T, Hiemstra S J, Calus M P L. Short communication: milk fat composition of 4 cattle breeds in the Netherlands. Journal of Dairy Science, 2011, 94(2): 1021-1025.

[6]Quist M A, LeBlanc S J, Hand K J, Lazenby D, Miglior F,  Kelton D F. Milking-to-milking variability for milk yield, fat and protein percentage, and somatic cell count. Journal of Dairy Science, 2008, (91): 3412-3423. 

[7]Giuseppe P, Anna N, Gianni B, Antonello C. Effects of nutrition on the contents of fat, protein, somatic cells, aromatic compounds, and undesirable substances in sheep milk. Animal Feed Science and Technology, 2006, 131: 255-291.

[8]Martin O, Sauvant D. Metaanalysis of input/output kinetics in lactating dairy cows. Journal of Dairy Science, 2002, 85(12): 3363-3381.

[9]常玲玲, 杨章平, 陈仁金, 毛永江, 周里根, 王建勇, 尹兆华. 南方集约化饲养条件下荷斯坦奶牛乳脂肪率和乳蛋白率变化规律的初步研究. 中国畜牧杂志, 2010, 46(1): 23-27.

Chang L L, Yang Z P, Chen Y J, Mao Y J, Zhou L G, Wang J Y, Yin Z H. Study on variation features of milk fat percentage and milk protein percentage of Holstein Dairy cattle on intensive feeding method in the south of China. Journal of China Animal Husbandry, 2010, 46(1): 23-27. (in Chinese)

[10]白云峰, 谷子林, 霍贵成. 基于DHI模式奶牛生产管理专家系统. 畜牧与兽医, 2005, 37(11): 31-37.

Bai Y F, Gu Z L, He G C. A expert system of production management of dairy cattle based on DHI pattern. Animal Husbandry and Veterinary Medicine, 2005, 37(11): 31-37. (in Chinese)

[11]王林波, 俞春华, 沈  忠, 张  静. DHI在湖北奶牛业中的应用. 湖北畜牧兽医, 2011(11): 8-10.

Wang L B, Yu C H, Shen Z, Zhang J. DHI application in the dairy of HuBei province. HuBei Animal Husbandry and Veterinary Medicine, 2011(11): 8-10. (in Chinese)

[12]熊本海, 马  毅, 罗清尧, 庞之洪, 邓  文. 中国荷斯坦奶牛第三泌乳期泌乳曲线模型的研究. 中国农业科学, 2011, 44(2): 402-408.

Xiong B H, Ma Y, Luo Q Y, Pang Z H, Deng W. Study on lactation curve models of Chinese Holstein for the third parity. Scientia Agricultura Sinica, 2011, 44(2): 402-408. (in Chinese)

[13]National Research Council. Nutrient Requirements of Dairy Cattle: Seventh Revised Edition. Washington, DC: The National Academies Press, 2001.

[14]中华人民共和国农业部. 奶牛饲养标准. 北京: 中国农业出版社, 2005.

Ministry of Agriculture of People’s Republic of China. Feeding Standard of Dairy Cattle. Beijing: China Agriculture Press, 2005. (in Chinese)

[15]熊本海, 庞之洪, 罗清尧. 中国饲料成分及营养价值表. 第19版. 中国饲料, 2008(21): 32-38; (22): 31-40.

Xiong B H, Pang Z H, Luo Q Y. Tables of feed composition and nutritive values in China. Version 19. China Feed, 2008(21): 32-38; (22): 31-40. (in Chinese)

[16]SAS institute Inc., Cary, NC, USA. The SAS System for Windows. Version 8.01, 1999. 

[17]Wood P D P. Algebraic model of the lactation curve in cattle. Nature, 1967, 216(10): 164-165.

[18]Dijkstra J, France J, Dhanoa M S, Maas J A, Hangan M D, Rook A J, Beever D E. A model to describe growth patterns of the mammary gland during pregnancy and lactation. Journal of Dairy Science, 1997, 80(10): 2340-2354.

[19]中华人民共和国卫生部. 生乳(GB 19301-2010). 北京: 中国标准出版社, 2010.

Ministry of Health of the People’s Republic of China. Rawmilk (GB 19301-2010). Beijing: China Standard Press, 2010. (in Chinese)

[20]Michiru F, Hideharu T, Takami K, Akihisa Y. Effect of lactation stage, season and parity on milk cortisol concentration in Holstein cows. Livestock Science, 2008, 113(2/3): 280-284.

[21]Sevi A, Taibi L, Albenzio M, Muscio A, Annicchiarico G. Effect of parity on milk yield, composition, somatic cell count, renneting parameters and bacteria counts of Comisana ewes. Small Ruminant Research, 2000, 37(1/2): 99-107.

[22]Gil M M, Brandão T R S, Silva C L M. A modified Gompertz model to predict microbial inactivation under time-varying temperature conditions. Journal of Food Engineering, 2006, 76(1): 89-94.
[1] WU YuanYuan, LÜ ShuWen, ZHANG ZiJun, WANG Tao, ZHANG YiMing, BU LingChao, ZOU QingDao, JIANG Jing. Mixed Major Gene+Polygene Genetic Analysis of Blossom-End Scar Size in Tomato Fruit [J]. Scientia Agricultura Sinica, 2026, 59(5): 1060-1069.
[2] DONG JinLong, ZHAO Ying, YU HaiBing, LÜ JianYe, QIN JiaQi, LIANG Chen, MING Bo, LI ShaoKun. Multi-Model Elucidating of Nutritional Quality Contributions to Maize Kernel Test Weight and Regional Heterogeneity [J]. Scientia Agricultura Sinica, 2026, 59(5): 985-995.
[3] LUO Wei, YU Hong, YUAN LiXin, WANG LingLing, ZHAO JinPeng, YIN Wei, WANG MingTian, WANG RuLin. Change of Geographic Distributions of Ratoon Rice in Sichuan- Chongqing Under Global Climate Change [J]. Scientia Agricultura Sinica, 2026, 59(4): 765-780.
[4] ZHOU Qi, ZHANG ShiHao, ZHANG Liang, PAN Yu, ZHANG LiJuan, TU Zhi, PAN HongMei, LONG Xi. Prediction of the Potential Habitat Suitability of Luopanshan Pigs in Chongqing Based on the Optimized MaxEnt Model [J]. Scientia Agricultura Sinica, 2026, 59(1): 205-219.
[5] TANG HuaJun, WU WenBin, YU QiangYi, SHI Yun, DUAN YuLin, LI WenJuan, QIAN JianPing, SONG Qian, XIA Lang, LI HuiBin, SU BaoFeng, FAN BeiLei, HU Qiong, YE JianQiu, ZHANG Shuai. Developing a Lightweight Multimodal Model for Cropland Remote Sensing Monitoring [J]. Scientia Agricultura Sinica, 2026, 59(1): 78-89.
[6] WANG BingJie, QIN ShiHan, LI DeCheng, HU WenYou, JIANG Jun, CHI FengQin, ZHANG Chao, ZHANG JiuMing, XU YingDe, WANG JingKuan. Spatial Distribution Pattern and Transfer Function Construction of Soil Bulk Density in Nenjiang City, Heilongjiang Province [J]. Scientia Agricultura Sinica, 2025, 58(9): 1791-1803.
[7] YANG GuoChang, ZHENG Yue, BAO XiangNan, DAI YingChun, WANG JinGang, BAI XueFeng, SUN Wei, LI XiHe, ZHANG ShuJun. Research Progress on the Application of Mid-Infrared Spectroscopy Analysis Technology in Predicting Methane Emissions from Cows [J]. Scientia Agricultura Sinica, 2025, 58(9): 1856-1866.
[8] ZHANG HaoXin, YU ShengYue, LEI QiuLiang, DU XinZhong, ZHANG Jizong, AN MiaoYing, FAN BingQian, LUO JiaFa, LIU HongBin. Simulating Soil Organic Carbon Dynamic Changes in Dryland and Paddy Field of Northeast China Using RothC Model [J]. Scientia Agricultura Sinica, 2025, 58(8): 1564-1578.
[9] LI FangLiang, KONG QingBo, ZHANG Qing. Research on the Estimation Model of Calcium Content in Guanxi Honey Pomelo Leaves Based on Spectral Index [J]. Scientia Agricultura Sinica, 2025, 58(7): 1321-1332.
[10] LI XinYu, HOU MingYu, CUI ShunLi, LIU YingRu, LI XiuKun, LIU LiFeng. Construction of Near Infrared Spectrometry Model for Flavonoids Content of Peanut with Red and Black Testa [J]. Scientia Agricultura Sinica, 2025, 58(7): 1284-1295.
[11] WU XinJia, XUE Wei, YAN YiDan, NIE YingYing, YE LiMing, XU LiJun. Temporal and Spatial Variation Characteristics of Soil Organic Carbon in Hulunbuir and Its Influencing Factors [J]. Scientia Agricultura Sinica, 2025, 58(6): 1145-1158.
[12] YAO Li, DENG ChunXiu, TANG Biao, WANG Hong, WU YueYing, ZHANG Qi, LI YuanHong, LIU ZhongYou, LU ChangAi, LIN ChaoWen. Suitability Evaluation of Late Maturing Citrus in Dongpo District, Meishan City, Sichuan Province Based on Maximum Entropy Model (MaxEnt) and Geographic Information System (GIS) [J]. Scientia Agricultura Sinica, 2025, 58(4): 748-758.
[13] MU ShuJia, DONG LiXia, LI Guang, YAN ZhenGang, LU YuLan. Optimization of N2O Emission Parameters in Dryland Spring Wheat Farmland Soil Based on Whale Optimization Algorithm [J]. Scientia Agricultura Sinica, 2025, 58(3): 537-547.
[14] LIU Jing, ZHAO ShiLin, YANG XiaoTing, WEI YiXuan, LI JiaPeng, ZHAO Yan. Study on the Origin Traceability of Beijing Black Pig Based on Stable Isotope Technology [J]. Scientia Agricultura Sinica, 2025, 58(23): 5071-5080.
[15] GAO QiQi, HAN ZheQun, ZHANG HaiRui, NAN ShanShan, HUANG YanYan, ZHU HengXia, WU XuePing. Impacts of Secondary Salinization on Soil Quality and Cropland Productivity in the Yellow River Irrigation District [J]. Scientia Agricultura Sinica, 2025, 58(20): 4272-4284.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!