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首页> 外文期刊>Journal of dairy science >The association of herd milk production and management with a return-over-feed index in Ontario dairy herds
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The association of herd milk production and management with a return-over-feed index in Ontario dairy herds

机译:安大略省奶牛群的牛群奶生产和管理与饲料超标指数的关系

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摘要

Associations of herd milk production and management variables to a return-over-feed (ROF) herd profit index were examined among 95 dairy farms. The ROF index is derived from 2 important determinants of profit on dairy farms: milk income and feed cost. All producers were participants in the Dairy Herd Improvement (DHI) ROF program in Ontario, Canada during 2002. Nutrition, housing, health, and other management data were collected through a phone survey of herd managers. Herd milk production, milk component percentages, and somatic cell count data were obtained from the Ontario DHI database. The linear regression model accounting for significant variation in ROF with highest R2 (0.66) included standardized milk production, milk protein percentage, milk fat percentage, and use of monensin in lactating cow rations. A 1-kg increase in standardized milk production (kg/d per cow) or a 0.1 percentage unit increase in milk protein was associated with $0.35/d per cow or $0.26/d per cow increase, respectively, in the ROF of the dairy herd. However, a 0.1 percentage unit increase in milk fat was associated with a $0.10/d per cow decrease in ROF, probably because of a negative association of milk fat with milk yield. Use of monensin in lactating cow rations was associated with a $0.39/d per cow increase in ROF. In a separate model (R2 = 0.27) that examined management factors independent of production variables, herds using 3 times daily milking had a $1.25/d per cow higher ROF vs. herds using twice daily, whereas use of an Escherichia coli mastitis vaccine was associated with $0.59/d per cow higher ROF. Production-related variables accounted for more variation in the ROF index than management variables, and the latter, e.g., use of monensin, only marginally increased R2 of production-based regression models.
机译:在95个奶牛场中检查了牛群奶的生产和管理变量与饲料超额回馈(ROF)牛群利润指数的关联。 ROF指数来自奶场利润的两个重要决定因素:牛奶收入和饲料成本。所有生产者都是2002年在加拿大安大略省参加的“奶牛群改良(DHI)ROF”计划的参与者。营养,住房,健康和其他管理数据是通过对牛群管理者进行的电话调查收集的。从安大略省DHI数据库获得了牛群奶产量,牛奶成分百分比和体细胞计数数据。线性回归模型考虑到ROF最高R2(0.66)的显着变化,包括标准化的牛奶产量,牛奶蛋白百分比,牛奶脂肪百分比以及在泌乳母牛日粮中使用莫能菌素。在奶牛场的ROF中,每公斤标准奶产量增加1公斤(每头母牛公斤/天)或每单位牛奶蛋白增加0.1%,每头母牛每天增加0.35美元或每头母牛每天增加0.26美元。但是,每单位母牛的ROF降低$ 0.10 / d则导致牛奶脂肪增加0.1%,这可能是由于牛奶脂肪与牛奶产量的负相关。在泌乳母牛日粮中使用莫能菌素可使每头母牛的ROF升高$ 0.39 / d。在检查与生产变量无关的管理因素的单独模型中(R2 = 0.27),与每天使用两次的牛群相比,每天使用3次挤奶的牛群每头牛的ROF值高$ 1.25 / d,而每天使用两次的猪群则具有较高的ROF。每头母牛的ROF升高$ 0.59 / d。与生产相关的变量比管理变量导致ROF指数变化更大,而后者(例如莫能菌素的使用)仅略微提高了基于生产的回归模型的R2。

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