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Breeding objectives for pigs in Kenya. II: economic values incorporating risks in different smallholder production systems

机译:肯尼亚养猪目标。 II:在不同小农生产系统中纳入风险的经济价值

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摘要

This study estimated economic values for production traits (dressing percentage (DP), %; live weight for growers (LWg), kg; live weight for sows (LWs), kg) and functional traits (feed intake for growers (FEEDg), feed intake for sow (FEEDs), preweaning survival rate (PrSR), %; postweaning survival (PoSR), %; sow survival rate (SoSR), %, total number of piglets born (TNB) and farrowing interval (FI), days) under different smallholder pig production systems in Kenya. Economic values were estimated considering two production circumstances: fixed-herd and fixed-feed. Under the fixed-herd scenario, economic values were estimated assuming a situation where the herd cannot be increased due to other constraints apart from feed resources. The fixed-feed input scenario assumed that the herd size is restricted by limitation of feed resources available. In addition to the tradition profit model, a risk-rated bio-economic model was used to derive risk-rated economic values. This model accounted for imperfect knowledge concerning risk attitude of farmers and variance of input and output prices. Positive economic values obtained for traits DP, LWg, LWs, PoSR, PrSR, SoSR and TNB indicate that targeting them in improvement would positively impact profitability in pig breeding programmes. Under the fixed-feed basis, the risk-rated economic values for DP, LWg, LWs and SoSR were similar to those obtained under the fixed-herd situation. Accounting for risks in the EVs did not yield errors greater than +/-50 % in all the production systems and basis of evaluation meaning there would be relatively little effect on the real genetic gain of a selection index. Therefore, both traditional and risk-rated models can be satisfactorily used to predict profitability in pig breeding programmes.
机译:这项研究估算了生产性状的经济价值(追肥百分比(DP),%;种植者的活重(LWg),公斤;母猪的活重(LWs),公斤)和功能性状(种植者的采食量(FEEDg),饲料母猪采食量(FEED),断奶前存活率(PrSR),%;断奶后存活率(PoSR),%;母猪存活率(SoSR),%,仔猪总数(TNB)和分娩间隔(FI),天数)肯尼亚不同的小农户生猪生产系统。估计经济价值时考虑了两种生产环境:固定放牧和固定饲料。在固定牛群的情况下,估计经济价值的前提是由于饲料资源以外的其他限制因素导致牛群无法增加。固定饲料输入方案假定畜群大小受到可用饲料资源的限制。除了传统的利润模型外,还使用风险评级的生物经济模型来推导风险评级的经济价值。该模型解释了关于农民的风险态度以及投入产出价格差异的不完善知识。 DP,LWg,LWs,PoSR,PrSR,SoSR和TNB等性状获得的正经济价值表明,针对它们进行改良将对猪育种计划的盈利能力产生积极影响。在固定饲料的基础上,DP,LWg,LW和SoSR的风险评估经济价值与固定牧群情况下获得的相似。在所有生产系统和评估基础中,考虑到电动汽车中的风险并未产生大于+/- 50%的误差,这意味着对选择指数的实际遗传增益影响相对较小。因此,传统模型和风险评估模型都可以令人满意地用于预测猪育种计划的获利能力。

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