4.1 Article

Milk production and percentages of fat and protein in Holstein breed cows raised in Rio Grande do Sul, Brazil

期刊

CIENCIA RURAL
卷 46, 期 4, 页码 700-706

出版社

UNIV FEDERAL SANTA MARIA
DOI: 10.1590/0103-8478cr20150465

关键词

calving season; hyperbolic linear function; age at calving; identity model test

类别

资金

  1. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)
  2. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)

向作者/读者索取更多资源

The objective of this study was to identify a nonlinear regression model that better describes the milk production and the percentages of fat and protein curves, and to identify the season and age of calving that result in higher productions. For the analysis, 8,047 records of milk production and percentages of fat and protein obtained from 1,330 Holstein breed cows raised in Rio Grande do Sul, born from 1989 to 2011, were used. After determining the most appropriate nonlinear regression model, the identity of models and the equality of parameter tests for the different classes of season and age of calving were performed. Residual mean square, mean absolute deviation, mean squared prediction error and percentage of estimated curves per animal, indicated the Linear Hyperbolic Function (LHF) as the most appropriate to describe the milk production and the levels of fat and protein curves. Cows calving in the autumn and winter seasons yield higher quantities of milk and lower fat and protein content than those calved in the spring and summer seasons. Cows aged between 46 and 93 months at calving yield higher milk quantities, and those with calving age between 94 and 118 months produced more fat.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据