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根据生鲜乳和奶酪市场中牛奶的生产性能、体细胞计数及类型性状预测产奶期的遗传传递能力和终生盈利能力。

Prediction of transmitting abilities for productive life and lifetime profitability from production, somatic cell count, and type traits in milk markets for fluid milk and cheese.

作者信息

Weigel D J, Cassell B G, Pearson R E

机构信息

Department of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg 24061-0315, USA.

出版信息

J Dairy Sci. 1997 Jul;80(7):1398-405. doi: 10.3168/jds.S0022-0302(97)76069-7.

Abstract

Two net income functions were constructed to reflect differences in value of carrier, protein, and somatic cell score (SCS) between milk markets for fluid milk and those for cheese. Individual costs were for production of carrier (water, lactose, and minerals), fat, and protein. Totals for net income from a lactation were adjusted for the opportunity cost of postponed replacement using all herdmates on test. Heritabilities and correlations were estimated with a multiple-trait sire model using 52,688 registered and grade (24%) cows that were classified daughters of 844 bulls included in the Sire Evaluation for Type program of the Holstein Association of America. Although the genetic correlation between the net income traits was high (0.92), the resulting economic weights were quite different. Indexes to select for net income for a fluid milk market weighted milk production much more than it weighted fat or SCS and selected against protein yield. Indexes for a cheese market gave more weight to milk components, SCS, and traits related to productive life. The removal of some type traits had little effect on the evaluation of either net income trait. In contrast, weights for prediction of productive life from SCS and the production and type traits became more stable when strength, fore udder, and rear udder heights were removed. Removal of some of the type traits that were used for prediction reduced multicollinearity and the variance of weights without sacrificing accuracy.

摘要

构建了两个净收益函数,以反映液态奶市场和奶酪市场在载体、蛋白质和体细胞评分(SCS)价值上的差异。个体成本包括载体(水、乳糖和矿物质)、脂肪和蛋白质的生产成本。对泌乳期的净收益总额进行了调整,以考虑使用所有参与测试的同群奶牛进行延期更换的机会成本。使用美国荷斯坦协会体型评定计划种公牛评估中包含的844头公牛的52,688头注册奶牛和等级奶牛(24%),通过多性状父系模型估计遗传力和相关性。尽管净收益性状之间的遗传相关性很高(0.92),但由此产生的经济权重却大不相同。针对液态奶市场选择净收益的指数对产奶量的加权远高于对脂肪或SCS的加权,并对蛋白质产量进行反向选择。奶酪市场的指数对奶成分、SCS以及与生产寿命相关的性状给予了更大的权重。去除一些体型性状对任何一个净收益性状的评估影响都很小。相比之下,当去除强度、前乳房和后乳房高度时,根据SCS以及生产和体型性状预测生产寿命的权重变得更加稳定。去除一些用于预测的体型性状可减少多重共线性和权重的方差,同时不牺牲准确性。

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