北京地区奶牛反刍与活动量影响因素分析

doi:10.11843/j.issn.0366-6964.2016.05.012

畜牧兽医学报 ›› 2016, Vol. 47 ›› Issue (5): 955-961.doi: 10.11843/j.issn.0366-6964.2016.05.012

北京地区奶牛反刍与活动量影响因素分析

鄢新义¹，董刚辉²，徐伟¹，刘澳星¹，Jose Galindez³，王炎²，郭刚²，李锡智²，王雅春^1*

（1.中国农业大学动物科技学院，北京 100193；2.北京首农畜牧发展有限公司，北京 100029；3.SCR Engineering China，北京 102627）

收稿日期:2015-05-20 出版日期:2016-05-23 发布日期:2016-05-23
通讯作者: 王雅春，博士，教授，主要从事动物分子数量遗传学研究，E-mail：wangyachun@cau.edu.cn
作者简介:鄢新义（1992-），男，湖北荆州人，硕士生，主要从事动物分子数量遗传学研究，E-mail：yanxinyi620@163.com
基金资助:
现代农业（奶牛）产业技术体系建设专项资金（CARS-37）；国家自然科学基金（31172191）；“十二五”科技支撑计划（2011BAD28B02）；2014年北京市科技计划项目(Z151100001015012)

Analysis of Influence Factors on Cow’s Rumination and Activity in Beijing

YAN Xin-yi¹，DONG Gang-hui²，XU Wei¹，LIU Ao-xing¹，Jose Galindez³，WANG Yan²，GUO Gang²，LI Xi-zhi²，WANG Ya-chun^1*

（1.College of Animal Science & Technology，China Agricultural University，Beijing 100193，China；2.Beijing Sunlon Animal Husbandry Development Co.LTD，Beijing 100029；China；3.SCR Engineering China，Beijing 102627，China）

Received:2015-05-20 Online:2016-05-23 Published:2016-05-23

摘要/Abstract

摘要：

本试验通过对中国荷斯坦牛反刍时间与活动量监测，旨在研究其反刍与活动变化规律及其影响因素。对北京三元绿荷金银岛牧场200余头不同胎次泌乳牛进行了长达7个多月的连续监测，试验时间划分为夏、秋、冬3个季节，对应于奶牛的热应激期、舒适期、冷应激期。采用SAS（v 9.2）的GLM过程分析季节、胎次、泌乳天数以及父亲效应对反刍时间与活动量的影响。协方差分析结果表明：父亲、季节、泌乳天数3个因素对日反刍时间均值均有极显著效应（P<0.000 1）；父亲、胎次、季节、泌乳天数4个因素对日活动量均值均有极显著效应（P<0.000 1）。在炎热夏季（温湿度指数(THI)持续高于72），奶牛易处于热应激状态，活动量显著升高，反刍量明显降低。与冬季相比，夏季活动量高出19.26%，与此相反，冬季反刍时间增加10.36%，均达到极显著差异。胎次效应对反刍时间的影响并不显著，但对活动量的影响显著（P<0.000 1），一胎个体较二胎活动量增加了9.12%。在整个试验期，牛群的平均日反刍时间为532.5 min•d^-1，日活动量为525.1 au•d^-1。原始记录数据为每2 h一次，包括反刍时间与活动量，24 h连续记录。中国荷斯坦牛夏季受热应激影响，活动量增加，反刍时间降低，而在冬季寒冷温度下，其活动量下降，反刍时间延长。胎次、泌乳天数对反刍时间和活动量也有一定的影响。不同父亲的遗传因素对奶牛活动量和反刍时间的影响具有极显著的差异，通过进一步对环境因素和遗传因素的分析，人们将可以通过育种手段，提高牛群抵抗冷热应激的能力。本研究着重于健康泌乳牛群的数据分析，为进一步探究中国荷斯坦牛群反刍与活动量规律提供理论基础。

Abstract:

The research was conducted to monitor the daily changes of rumination patterns and physical activity of Chinese Holsteins，with the objective to reveal rules of their variation as well as their influencing factors.During the trial we monitored more than 200 cows for a period of 7 months in Sunlon’s Jinyindao dairy farm.The total duration of the project was divided into 3 periods，summer，autumn and winter，corresponding to heat stress，thermo-neutral and cold stress period for dairy cows.The General Linear Model (GLM) of SAS software (v 9.2) was used to analyze the influences of season，parity，days in milk (DIM) and sire effects on rumination time and daily activity.The results of covariance analysis indicated that season，sire，DIM had significant effects on daily rumination time (P<0.000 1) and all of the 4 factors had significant effects on daily activity (P<0.000 1).Holstein cows were easily to be influenced by heat stress in summer (THI>72) and resulting in a higher daily activity and lower rumination time compared to those in winter.Average of daily activity increased 19.26% in summer compared to that in winter，on the contrary，rumination time increased 10.36% in winter compared to that in summer.Parity had no significant effect on rumination time，however parity had significant effect on daily activity(P<0.000 1)，e.g.daily activity of primiparous cows were 9.12% higher than cows in second parity.The average of daily rumination time and dairy activity were 532.5 min•d^-1 and 525.1 au•d^-1 in whole herd during the whole trial.Raw data of rumination time and activity was recorded every 2 hours from 00：00 to 24：00 every day.Cow’s daily activity became higher and rumination time was lower in summer in Beijing，and showed the opposite changing pattern in winter.Parity and DIM are important factors affecting daily rumination time and dairy activity.Genetic factor was represented by sire，the highly significant effect of sire on daily rumination time and dairy activity showed the possibility that we can improve individual’s heat and cold resistance by genetic selection.This results were derived from healthy individuals，which can provide the theoretical foundation for further exploring daily rumination time and activity of Chinese Holstein in the future.

中图分类号:

S823
S815.4

鄢新义，董刚辉，徐伟，刘澳星，Jose Galindez，王炎，郭刚，李锡智，王雅春. 北京地区奶牛反刍与活动量影响因素分析[J]. 畜牧兽医学报, 2016, 47(5): 955-961.

YAN Xin-yi，DONG Gang-hui，XU Wei，LIU Ao-xing，Jose Galindez，WANG Yan，GUO Gang，LI Xi-zhi，WANG Ya-chun. Analysis of Influence Factors on Cow’s Rumination and Activity in Beijing[J]. ACTA VETERINARIA ET ZOOTECHNICA SINICA, 2016, 47(5): 955-961.

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参考文献

［1］施福明，董书伟，朱新荣，等.活动量监测在牧场管理中的应用［J］.黑龙江畜牧兽医，2013 (1)：59-61.
SHI F M，DONG S W，ZHU X R，et al.Application of activity-level monitoring in the ranch management［J］.Heilongjiang Animal Science and Veterinary Medicine，2013(1)：59-61.(in Chinese)
［2］REITH S，HOY S.Automatic monitoring of rumination time for oestrus detection in dairy cattle.［C］.Animal Production Technology.International Conference of Agricultural Engineering-CIGR-AgEng 2012：Agriculture and Engineering for a Healthier Life，2012：621.

［3］SCHIRMANN K，VON KEYSERLINGK M A，WEARY D M，et al.Technical note：Validation of a system for monitoring rumination in dairy cows［J］.J Dairy Sci，2009，92(12)：6052-6055.
［4］BURFEIND O，SCHIRMANN K，VON KEYSERLINGK M A，et al.Evaluation of a system for monitoring rumination in heifers and calves［J］.J Dairy Sci，2011，94(1)：426-430.
［5］曹学浩，黄善琦，马树刚，等.活动量监测技术的研究及其在奶牛繁殖管理中的应用［J］.中国奶牛，2013(8)：37-40.
CAO X H，HUANG S Q，MA S G，et al.Applications of activity monitoring technology in dairy cattle breeding management［J］.China Dairy Cattle，2013(8)：37-40.(in Chinese)
［6］CALAMARI L，SORIANI N，PANELLA G，et al.Rumination time around calving：An early signal to detect cows at greater risk of disease［J］.J Dairy Sci，2014，97(6)：3635-3647.
［7］DataFlow2用户指南第三版简体中文版［Z］.2012.
DataFlow2 User ManualVer 3 Chinese Simplfied［Z］.2012.(in Chinese)
［8］KADZERE C T，MURPHY M R，SILANIKOVE N，et al.Heat stress in lactating dairy cows：a review［J］.Livest Prod Sci，2002，77(1)：59-91.
［9］RAVAGNOLO O，MISZTAL I，HOOGENBOOM G.Genetic component of heat stress in dairy cattle，development of heat index function［J］.J Dairy Sci，2000，83(9)：2120-2125.
［10］ARMSTRONG D V.Heat stress interaction with shade and cooling［J］.J Dairy Sci，1994，77(7)：2044-2050.
［11］奶牛热应激评价技术规范［S］.中华人民共和国农业行业标准，NYT 2363-2013.
Technical specification for heat stress of dairy cows［S］.Agricultural Industry Standard of the People’s Republic of China，NYT 2363-2013.(in Chinese)
［12］ST-PIERRE N R，COBANOV B，SCHNITKEY G.Economic losses from heat stress by US livestock industries［J］.J Dairy Sci，2003，86(3)：E52-E77.
［13］HAMMAMI H，BORMANN J，M’HAMDI N，et al.Evaluation of heat stress effects on production traits and somatic cell score of Holsteins in a temperate environment［J］.J Dairy Sci，2013，96(3)：1844-1855.
［14］TRIPON I，CZISZTER L T，BURA M，et al.Effects of seasonal and climate variations on calves’ thermal comfort and behaviour［J］.Int J Biometeorol，2014，58(7)：1471-1478.
［15］SORIANI N，PANELLA G，CALAMARI L.Rumination time during the summer season and its relationships with metabolic conditions and milk production［J］.J Dairy Sci，2013，96(8)：5082-5094.
［16］REITH S，BRANDT H，HOY S.Simultaneous analysis of activity and rumination time，based on collar-mounted sensor technology，of dairy cows over the peri-estrus period［J］.Livest Sci，2014，170：219-227.

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北京地区奶牛反刍与活动量影响因素分析

Analysis of Influence Factors on Cow’s Rumination and Activity in Beijing

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