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首页> 外文期刊>Indian Journal of Poultry Science >Egg production curves and their prediction through mathematical models in a random-bred broiler breeder control population
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Egg production curves and their prediction through mathematical models in a random-bred broiler breeder control population

机译：鸡蛋生产曲线及其通过数学模型在随机繁殖的肉鸡饲养剂控制人口中的预测

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摘要

Six mathematical models, namely, Logistic, MMF, Polynomial Fit, Rational Function, Sinusoidal Fit and Quadratic fit were selected and fitted to the weekly hen housed egg production from 19 to 52 weeks of age of two generations of a random-bred broilerbreeder control line. The efficiency or reliability of the models was obtained by the coefficients of determination (R2) as per the Least Squares curve fit method and Chi-square test of significance was carried out to test the goodness of fit of the models identified. On account of their simple form, the high coefficient of determination and the non-significance of Chi-square values, Rational Function (R2: 94.08-97.22%) and Polynomial Fit (R~2: 93.26-96.67%) were identified to be the best fitting models that could be conveniently used for predictive purposes in the control line.
机译：选择六种数学模型，选择逻辑，MMF，多项式，合理功能，正弦贴合和二次配合，并安装在每周母鸡的每周鸡蛋生产中，从19至52周的两代随机繁殖的肉牛牛肉控制线 。 根据最小二乘曲线拟合方法（R2）的系数而获得模型的效率或可靠性，并且进行了显着性的Chi-Square测试以测试所识别的模型的拟合的良好。 由于它们的简单形式，确定高系数和Chi-Square值的非重要性，合理的功能（R2：94.08-97.22％）和多项式拟合（R〜2：93.26-96.67％）是 可以方便地用于控制线中预测目的的最佳拟合模型。

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