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Economic selection index in small rural dairy farms

机译:小型农村乳业农场的经济选择指数

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摘要

This study aimed to calculate economic values (EVs) and economic selection indices for milk production systems in small rural properties. The traits 305-d milk yield in kg (MY), fat (FP) and protein (PP) percentage, daily fat (FY) and protein (PY) yield, cow live weight in kg (LW), calving interval (CI), and logarithm of daily somatic cell count (SCC) in milk were considered the goals and selection criteria. The production systems were identified from 29 commercial properties based on the inventory of revenues and costs and of zootechnical field data. Later, bioeconomic models were developed to calculate the productive performance, revenues, and costs concerning milk production to estimate EVs, which were calculated as the difference in annual profit with dairy production resulting from a change in one unit of the trait while keeping the others constant and dividing the value by the number of cows. After the EVs were known, ten economic selection indices were estimated for each system so they could be compared by modifying the selection criteria and calculating the relative importance of each selection criteria, the accuracy of the economic selection index, and response expected to the selection in USD, among other parameters. One of the systems detected was called less intensive (LS) and was characterized by having ten cows in lactation that produced 13 center dot 5 l/d and consumed 1 center dot 8 kg of concentrate/d. The second system detected was called more intensive (IS) and had 22 cows in lactation that produced 17 center dot 5 l/d and consumed 3 center dot 4 kg of concentrate/d. Monthly profits per cows in lactation of USD 2 center dot 60 and USD 68 center dot 77 were recorded for LS and IS, respectively. The EVs of the traits MY, FP, and PP were all positive, while for the other traits they were all negative in all situations. The best economic selection indices were those featuring selection criteria MY, LW, and CI, while the trait LW had the greatest importance in both systems. These results indicate that animal frame must be controlled in order to maximize the system's profit.
机译:本研究旨在计算小型农村地产中牛奶生产系统的经济价值(EVS)和经济选择指标。 KG(MY),脂肪(FP)和蛋白质(PP)百分比,每日脂肪(FY)和蛋白质(PY)产量,牛活重量(LW),牛(LW),钙(LW),钙(LW),钙(LW),钙(LW)(CI)中的牛奶产量而且牛奶中每日体细胞计数(SCC)的对数被认为是目标和选择标准。根据收入和成本和ZooteEchnical现场数据的清单,从29个商业属性识别生产系统。后来,发展了生物经济模型,以计算牛奶产量的生产性能,收入和成本,以估计EVS,这是由于在特征的一个单位的变化而导致的乳制品生产的年利润差异,同时保持其他人的常量并将价值除以奶牛的数量。在已知EVS之后,为每个系统估计10个经济选择指数,因此可以通过修改选择标准并计算每个选择标准的相对重要性,经济选择指数的准确性以及预期选择的反应来进行比较。 USD,以及其他参数。检测到的系统之一被称为较小的强度(LS),其特征在于在哺乳期间具有十个奶牛,其产生13中心点5 L / D并消耗1中心点8kg浓缩物/天。检测到的第二个系统被称为更加密集的(是),并在哺乳期中有22个母牛,产生17个中心点5 L / D并消耗3中心点4kg浓缩物/ D。为LS记录了每奶牛的每月每月的每月利润,分别为LS录制。我的特征的EVS我,FP和PP都是积极的,而其他特征在于它们在所有情况下都是负面的。最佳的经济选择指数是我,LW和CI的选择标准,而特质LW在这两个系统中具有最重要的意义。这些结果表明,必须控制动物框架,以最大限度地提高系统的利润。

著录项

  • 来源
    《Journal of dairy research》 |2019年第1期|25-33|共9页
  • 作者单位

    Minist Agr Livestock & Food Supply Embrapa Southern Reg Anim Husb Brazilian Agr Res Corp Ctr Livestock Res South Brazilian Fields CPPSul Bage RS Brazil;

    Fed Univ Grande Dourados UFGD Fac Agr Sci Dourados Brazil;

    Fed Univ Pampa Unipampa Dom Pedrito Brazil;

    EMATER RS ASCAR Assoc Rural Tech Support & Extens Rio Grande do S Porto Alegre Brazil;

    Minist Agr Livestock & Food Supply Embrapa Southern Reg Anim Husb Brazilian Agr Res Corp Ctr Livestock Res South Brazilian Fields CPPSul Bage RS Brazil;

    Minist Agr Livestock & Food Supply Embrapa Southern Reg Anim Husb Brazilian Agr Res Corp Ctr Livestock Res South Brazilian Fields CPPSul Bage RS Brazil;

    Minist Agr Livestock & Food Supply Embrapa Southern Reg Anim Husb Brazilian Agr Res Corp Ctr Livestock Res South Brazilian Fields CPPSul Bage RS Brazil;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Economic value; economic weight; genetic progress; modelling; selection accuracy;

    机译:经济价值;经济体重;遗传进展;建模​​;选择精度;
  • 入库时间 2022-08-18 21:33:59

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