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Economic selection index in small rural dairy farms

机译:农村小型奶牛场的经济选择指数

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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:这项研究旨在计算农村小型牛奶生产系统的经济价值(EV)和经济选择指数。性状305 d产奶量(公斤)(MY),脂肪(FP)和蛋白质(PP)百分比,日脂肪(FY)和蛋白质(PY)产量,牛活重(kg)(LW),产犊间隔(CI)和牛奶中每日体细胞计数(SCC)的对数被视为目标和选择标准。根据收入和成本清单以及动物园技术现场数据从29个商业物业中识别出生产系统。后来,开发了生物经济模型来计算与牛奶生产有关的生产性能,收入和成本,以估算EV,这些电动汽车的计算方法是:性状的一个单位发生变化而其他要素保持不变,则与奶制品生产的年利润之差。然后将该值除以母牛的数量。在知道了电动汽车后,每个系统估计了十个经济选择指标,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,经济选择指标的准确性以及对选择的预期响应来进行比较。美元,以及其他参数。所检测到的系统之一被称为低精养(LS),其特征是泌乳十头母牛,产生13个中心点5 l / d,消耗1个中心点8 kg浓缩物/ d。检测到的第二个系统被称为更集约型(IS),有22头泌乳母牛,产生17个中心点5 l / d,消耗3个中心点4 kg浓缩物/ d。 LS和IS记录的哺乳期每头母牛的月利润分别为2美元中心点60美元和68美元中心点77美元。 MY,FP和PP特质的EV均为正,而其他特质在所有情况下均为负。最佳的经济选择指数是那些具有选择标准MY,LW和CI的指数,而LW的性状在两个系统中的重要性最高。这些结果表明,必须控制动物框架以最大化系统的利润。

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;经济权重;遗传进展;建模​​;选择精度;

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