Genetic and non-genetic determinants of farrowing and lactation traits in multiparous sows under intensive management

集约化管理下经产母猪分娩和泌乳性状的遗传和非遗传决定因素

阅读:1

Abstract

Genetic crossbreeding and advanced management have substantially improved swine productivity, yet reproductive outcomes in commercial herds remain strongly influenced by environmental and genetic factors. This study quantified these effects on key farrowing and lactation traits in multiparous sows under intensive production, identifying genetic lines that sustain high performance under variable conditions. Farrowing year (FY) and parity number (PN) significantly influenced all farrowing traits and most lactation traits ( P<0.05 ). Genetic group (GG) affected total piglets born (TPBs), piglets born alive (PBAs), and total litter birth weight (TLBW) ( P<0.05 ). Sow weight at farrowing (SWF) and gestation length (GL) exerted linear effects on TPBs ( β SWF =  0.01996 piglets per kg; β GL =  -  0.5344 piglets per day) and PBAs ( β SWF =  0.01560; β GL = -  0.5248). Cross-fostering increased piglet weight at day 21 (LWW21) and number of piglets weaned (NPWs) ( P<0.0001 ). Insemination season (IS) affected stillborn piglets (SPs) ( P = 0.0152 ) and average weaning piglet birth weight (AWPW) ( P = 0.0078 ), while season farrowing (SF) influenced AWPW and NPWs ( P<0.0001 and P = 0.0447 , respectively). Estimates of heritabilities ( h2 ) were low for most traits (0.00-0.07) but moderate for LWW21 (0.21) and AWPW (0.13). Farrowing year and parity number are dominant non-genetic drivers of prolificacy and litter growth in intensive systems. Integrating optimized reproductive management, cross-fostering protocols, and sow body condition control with targeted genetic selection and enhanced nutrition and climate regulation offers a strategic pathway to maximize reproductive efficiency and farm profitability.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。