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首页> 外文期刊>Livestock Science >Effect of culling age of does on milk and meat production in Japanese-Saanen goats.
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Effect of culling age of does on milk and meat production in Japanese-Saanen goats.

机译:家禽的淘汰年龄对日本萨嫩山羊的牛奶和肉类生产的影响。

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摘要

A functional herd dynamics model was developed to estimate the effect of culling age on milk and meat production for Japanese-Saanen goats in relation to changes in prices of milk and meat. The model simulates life cycle production of bucks and does and their kids. Every production trait is first modelled as an individual trait and thereafter as a trait in the herd using a herd dynamics model. At the individual level, the survival curve function, the litter size function and the production traits function are combined. Data on growth and lactation were used to fit growth and lactation curves to estimated parameters using non-linear least squares regression technique and used in the production traits function. Using herd dynamics, the individual level functions are combined with the total number of animals function to estimate the total herd output and income efficiency at the herd level. Here, variables of culling days including the effect of difference in meat price value among goat categories (bucks, does, male kids and female kids) are used. Analysis of interrelations among the culling days of does, the price ratio and the income efficiency indicated that optimal culling days of does was shortened with an increase in the price ratio of meat to milk. However, when meat price value was different among goat categories according to actual situation of Japanese goat production, the optimal culling days of does could be fixed regardless of the change in price ratio and was calculated as 1730 days. This functional herd dynamics model can aid in decision-making regarding culling under several situations especially when there is a wide fluctuation in prices at local markets.
机译:开发了功能性畜群动力学模型,以估计淘汰年龄对日本-萨嫩山羊相对于牛奶和肉类价格变化的牛奶和肉类生产的影响。该模型模拟了雄鹿,母犬和他们的孩子的生命周期生产。首先使用畜群动力学模型将每个生产性状建模为个体性状,然后将其建模为畜群中的性状。在个体水平上,将生存曲线函数,产仔数函数和生产性状函数结合在一起。使用非线性最小二乘回归技术,将生长和泌乳的数据用于使生长和泌乳曲线拟合至估计参数,并将其用于生产性状函数。利用畜群动力学,将各个层次的功能与动物总数的功能结合起来,以估算畜群水平上的总畜群产量和收入效率。在这里,使用了淘汰日的变量,包括山羊类(雄性,雄性,雄性和雌性)之间的肉价差异影响。对种畜淘汰日,价格比和收入效率之间的相互关系的分析表明,随着肉与奶价格比的增加,最佳种畜淘汰日缩短了。但是,如果根据日本山羊生产的实际情况,山羊类别之间的肉类价格不同,则无论价格比率如何变化,都可以确定最佳的淘汰天数,并计算为1730天。这种功能群动态模型可以在多种情况下(尤其是当当地市场价格出现较大波动时)协助做出有关淘汰的决策。

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