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首页> 外文期刊>Animal Science Papers and Reports >Prediction of 305-day lactation milk, fat and protein yields using Legendre polynomials and test-day yields from different parts of lactation
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Prediction of 305-day lactation milk, fat and protein yields using Legendre polynomials and test-day yields from different parts of lactation

机译:使用Legendre多项式预测305天泌乳期的牛奶,脂肪和蛋白质的产量以及泌乳不同部位的测试日产量

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Applicability was evaluated of second-, third- and fourth-order Legendre polynomials (LPs) as lactation curve models for prediction the 305-day lactation yields. First lactation milk, fat and protein yields were calculated using the standard lactationcurve method (LCM) and data collected during lactations truncated at 60,100, 200 and 305 days-in-milk. All results were compared with the official lactation yields of cows. Data consisted of 5,289,576 test-day yields from 668,964 lactations of Black-and-White heifers. Standard lactation curves were modelled by LPs of the second (L2), third (L3) and fourth (L4) orders within 64 classes of genetic group by age at calving by season of calving. LPs of the highest order (L4) were the best-fitted lactation curve models, followed by L2 and L3 polynomials, showing that LPs of even orders are more suitable for fitting lactation curves. It is concluded that 305-day yields of heifers can be predicted with sufficient accuracy when the lactation curve parametres arc derived using tests from the first 200 days-in-milk.
机译:评价二阶,三阶和四阶勒让德多项式(LP)作为泌乳曲线模型的适用性,以预测305天的泌乳量。使用标准泌乳曲线法(LCM)计算首次泌乳的牛奶,脂肪和蛋白质的产量,并在哺乳期间以60,100、200和305天的截奶时间截断收集的数据。将所有结果与母牛的官方泌乳量进行了比较。数据包括来自黑白小母牛的668,964次泌乳的5,289,576个测试日的产量。通过在产犊季节按产犊年龄划分64个基因组类别中的第二(L2),第三(L3)和第四(L4)级LP对标准泌乳曲线进行建模。最高阶(L4)的LP是最适合的泌乳曲线模型,其次是L2和L3多项式,表明偶数阶的LP更适合拟合泌乳曲线。结论是,使用前200天的牛奶试验得出的泌乳曲线参数可以准确预测305天的小母牛产量。

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