首页> 外文期刊>Tropical Animal Health and Production >Record keeping, genetic selection, educational experience and farm management effects on average milk yield per cow, milk fat percentage, bacterial score and bulk tank somatic cell count of dairy farms in the Central region of Thailand
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Record keeping, genetic selection, educational experience and farm management effects on average milk yield per cow, milk fat percentage, bacterial score and bulk tank somatic cell count of dairy farms in the Central region of Thailand

机译:记录保存,基因选择,教育经验和农场管理对泰国中部奶牛场每头牛平均产奶量,乳脂百分比,细菌评分和散装罐体细胞计数的影响

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A study was conducted to estimate the record keeping, genetic selection, educational, and farm management effects on average milk yield per cow (AYC), milk fat percentage, bacterial score, and bulk tank somatic cell count (BTSCC) of dairy farms in the central region of Thailand. Farms were located in the provinces of Saraburi and Nakhon Ratchisima and were members of the Muaklek dairy cooperative. Records from individual animals were unavailable. Thus, farm records of milk yield, milk fat percentage, bacterial score, and BTCCC were collected from July 1, 2003 through June 30, 2006. Additional record keeping, genetic selection, education, and farm management information was collected through a questionnaire in May of 2006. Data from the Muaklek dairy cooperative and the questionnaire were then merged by a farm identification number. A single trait mixed model was used to analyze AYC, milk fat percentage, and BTSCC, while a log linear model was used to analyze bacterial score. Results showed that farms that kept records on individual animals had higher (P < 0.05) milk fat percentages and lower bacterial scores than farms that did not. Farms that used genetic information (EBV) and phenotypes when selecting sires were higher (P < 0.05) for milk fat percentage than farms that used only phenotypes and personal opinion. Farms milking cows with a single unit milking machine and by hand, had higher (P < 0.05) bacterial scores and BTSCC than farms using only a single or multi unit machine. Overall farms that kept individual animal records, used EBV when selecting sires, used a single method for collecting milk, and used family labor achieved higher performance from their herds than farms that did not.
机译:进行了一项研究,以评估记录,基因选择,教育和农场管理对奶牛场中每头奶牛平均产奶量(AYC),乳脂百分比,细菌评分和散装罐体细胞计数(BTSCC)的影响。泰国中部地区。农场位于Saraburi和Nakhon Ratchisima省,是Muaklek奶制品合作社的成员。没有个别动物的记录。因此,从2003年7月1日至2006年6月30日收集了农场的牛奶产量,牛奶脂肪百分比,细菌评分和BTCCC记录。5月,通过问卷调查收集了其他记录保存,基因选择,教育和农场管理信息。的数据来自Muaklek奶制品合作社和问卷,然后与一个农场识别码合并。单性状混合模型用于分析AYC,乳脂百分比和BTSCC,而对数线性模型用于分析细菌评分。结果表明,与没有记录动物的农场相比,记录有个别动物的农场具有更高的(P <0.05)乳脂百分比和更低的细菌评分。与仅使用表型和个人见解的农场相比,选择父系时使用遗传信息(EBV)和表型的农场的乳脂百分比更高(P <0.05)。与仅使用单机或多机的农场相比,使用单机挤奶机的农场和手动挤奶牛的细菌评分和BTSCC更高(P <0.05)。总体上保留个人动物记录的农场,在选择父系时使用EBV,使用单一方法收集牛奶,以及使用家庭劳动力从牛群中获得的绩效要高于未这样做的农场。

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