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奶牛场盈利能力优化:受胎率和淘汰决策的影响

Profitability Optimization of Dairy Farms: The Effect of Pregnancy Rate and Culling Decision.

作者信息

Tóth Violetta, Heinc Emília, Mikó Edit, Csendes Tibor, Bánhelyi Balázs

机构信息

Faculty of Agriculture, University of Szeged, Andrássy út 15., H-6800 Hódmezővásárhely, Hungary.

Institute of Informatics, University of Szeged, Árpád tér 2., H-6720 Szeged, Hungary.

出版信息

Animals (Basel). 2023 Dec 20;14(1):18. doi: 10.3390/ani14010018.

Abstract

One of the most important decisions in dairy cattle production today is the correct choice of culling time for cows. In the culling decision process, the farmer has to take into account a number of factors, the complexity of which makes the decision-making task difficult. A crucial factor is the evolution of reproductive indicators. The aim of the research was to develop a microsimulation method that can be used to easily investigate the impact on profitability of increasing pregnancy rates and when the culling decision is made. In the microsimulation, the stock was examined without changing any other conditions. A microsimulation method has been developed to determine with high accuracy the effect of the pregnancy rate and the increase in culling days on the economic indicators of individual dairy farms. By microsimulation, the effect of changing these two parameters on the expected milk production of cows, the most important economic indicator for cattle farms, was investigated. The other parameters of economic importance were simulated using a cattle farm database. The purpose of microsimulation is to assist in producing certain managerial decisions in order to achieve better profitability and economic efficiency. In summary, the results showed that increasing the pregnancy rate can successfully reduce the length of the calving interval, but the improved pregnancy rate did not show a significant increase in milk production. In order to obtain results that can be used by farms, the authors intend to further develop the model in the future, adapting it to farms and taking into account their specificities.

摘要

如今奶牛生产中最重要的决策之一是正确选择奶牛的淘汰时间。在淘汰决策过程中,养殖户必须考虑许多因素,这些因素的复杂性使得决策任务变得困难。一个关键因素是繁殖指标的变化情况。该研究的目的是开发一种微观模拟方法,可用于轻松研究提高怀孕率以及做出淘汰决策时对盈利能力的影响。在微观模拟中,在不改变任何其他条件的情况下对畜群进行了考察。已开发出一种微观模拟方法,以高精度确定怀孕率和淘汰天数增加对各个奶牛场经济指标的影响。通过微观模拟,研究了改变这两个参数对奶牛预期产奶量(奶牛场最重要的经济指标)的影响。利用奶牛场数据库对其他具有经济重要性的参数进行了模拟。微观模拟的目的是协助做出某些管理决策,以实现更好的盈利能力和经济效率。总之,结果表明提高怀孕率可以成功缩短产犊间隔时间,但怀孕率的提高并未使产奶量显著增加。为了获得可供农场使用的结果,作者打算在未来进一步开发该模型,使其适用于农场并考虑其特殊性。

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