首页> 外文期刊>Iranian Journal of Applied Animal Science >An Optimum Regression Model to Estimate Economic Values for Milk Yield, Milk Yield Persistency and Calving Interval in Dairy Cattle
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An Optimum Regression Model to Estimate Economic Values for Milk Yield, Milk Yield Persistency and Calving Interval in Dairy Cattle

机译:估算奶牛产奶量,产奶持续性和产犊间隔的经济价值的最佳回归模型

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Emphasis on milk yield (MY) as well as milk yield persistency (MYP) and calving interval (CI) is necessary to achieve more sustainable productionin dairy cattle. Therefore the main objective of this study was to find an optimum regression model to estimate economic values for MY, MYP and CI.Using a deterministic bio-economic model, seventyfiveproduction states differing mainly in MY, MYPand CIwere studied.For each production state, the total revenue comprised income from sold milk, calves of one week of age and manure. Feed costs were obtained from energy requirements for maintenance, growth, lactation and pregnancy. Non feed costs included costs of net replacement, health, artificial insemination and some others which were modeled as a function of CI.Multiple regression analyses of annual profits for production state on the means of MY, MYP and CI were used to estimate the economic values. Two different regression models were used. Both models included the linear effect of MY and the quadratic effect of MYP. However, in one model the effect of CI was linear (Model CIL) whilst it wasquadratic in the other (Model CIQ). Under both models, economic value for MY was positive (0.10 $ for model CIL and 0.32 $ for model CIQ) as was expected for the assumed milk pricing system. Economic values for MYP in the models had different signs (-118.2 $ for model CIL and 715.55 $ for model CIQ). Under model CIQ maximum profit was associated with a value of MYP greater than unity and was not consistent with the definition of persistency. Economic value of CI was negative under both models (-2.68 $ for model CIL and -6.36 for model CIQ). In the model CIQ, the profit function had a minimum value for CI (at 803 days) which was not consistent with the previously reported relationship between profit and CI. Estimates of economic values for MY,MYP and CIshowed that the model CIL was superior to the model CIQ due to a lower number of fitted effects and increased consistency with the real situation of dairy systems.
机译:强调产奶量(MY)以及产奶持续时间(MYP)和产犊间隔(CI)是实现奶牛更可持续生产的必要条件。因此,本研究的主要目的是找到一个最优的回归模型来估算MY,MYP和CI的经济价值。使用确定性生物经济模型,研究了主要在MY,MYP和CI上不同的75个生产状态。总收入包括出售的牛奶,一星期龄的犊牛和肥料的收入。饲料成本是从维持,生长,泌乳和妊娠所需的能量中获得的。非饲料成本包括网购,卫生,人工授精等成本,它们是根据CI建模的。使用MY,MYP和CI的方法对生产状态的年利润进行多元回归分析,以估算经济价值。 。使用了两种不同的回归模型。两种模型都包括MY的线性效应和MYP的二次效应。但是,在一个模型中,CI的影响是线性的(模型CIL),而在另一个模型中,CI的影响是二次的(CIQ模型)。在两种模型下,MY的经济价值均为正(CIL模型为0.10美元,CIQ模型为0.32美元),这与假定的牛奶定价系统所期望的一样。模型中MYP的经济价值具有不同的符号(CIL模型为-118.2美元,CIQ模型为715.55美元)。在CIQ模型下,最大利润与MYP值大于1相关,并且与持久性的定义不一致。在两种模型下,CI的经济价值均为负(CIL模型为-2.68美元,CIQ模型为-6.36)。在模型CIQ中,利润函数的CI最小值(在803天时)与先前报告的利润和CI之间的关系不一致。 MY,MYP和CI的经济价值估算显示,由于拟合效应的数量减少并且与乳制品系统的实际情况的一致性提高,因此CIL模型优于CIQ模型。

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