Ostrand Lexi M, Rempel Lea A, Keel Brittney N, Snelling Warren M, Schmidt Ty B, Psota Eric T, Mote Benny E, Rohrer Gary A
Department of Animal Sciences, University of Nebraska, Lincoln, NE 68588.
U.S. Meat Animal Research Center (USMARC), USDA-Agricultural Research Service, Clay Center, NE 68933.
J Anim Sci. 2025 Jan 4;103. doi: 10.1093/jas/skaf001.
Sow lameness results in premature culling, causing economic loss and well-being issues. A study, utilizing a pressure-sensing mat (GAIT4) and video monitoring system (NUtrack), was conducted to identify objective measurements on gilts that are predictive of future lameness. Gilts (N = 3,656) were categorized to describe their lifetime soundness: SOUND, retained for breeding with no detected mobility issues; LAME_SOW, retained for breeding and detected lame as a sow; CULL_STR, not retained due to poor leg structure; LAME_GILT, not retained due to visible signs of lameness; and CULL, not retained due to reasons other than leg structure. The GAIT4 system creates a series of measurements for each hoof and a lameness score (GLS) while NUtrack records animal movement and posture durations each day. To determine if measurements from the GAIT4 and NUtrack systems were associated with lifetime soundness, mixed model analyses were conducted in R including fixed effects of breed of sire, contemporary group and lifetime soundness score, and random effect of animal. A second mixed model was run without lifetime soundness score and estimates of animal effects were then used to conduct ssGBLUP analyses using three generations of pedigree and genotypes from ~50k SNP on > 60% of phenotyped animals. Genomic heritabilities were estimated, SNP effects were back-solved and significance was based on Bonferroni-corrected permutation tests. GAIT4 traits indicative of lameness (LAME_GILT and CULL_STR vs. SOUND; P < 0.05) were the standard deviation of GLS, average stride length, and average stance time, while significant NUtrack measurements were eating, standing, lateral lying, total lying, speed, distance, and rotations. In addition, rotations differed (P < 0.05) between SOUND vs. LAME_SOW and distance tended to be different (P < 0.10). Estimates of heritability for predictive NUtrack traits were ~0.3 and GAIT4 traits were ~0.2. There were 382 significant SNP effects in 47 genomic regions, four regions on chromosomes 1, 4, 11, and 14 accounted for over 60% of the associations. Genome-level imputed genotypes linked several regions with possible causative genes. Objective measurements from the GAIT4 and NUtrack systems at 5 mo of age were heritable, able to detect unsound animals, and were associated with lifetime soundness.
母猪跛足会导致过早淘汰,造成经济损失和福利问题。一项研究利用压力感应垫(GAIT4)和视频监控系统(NUtrack),旨在确定对后备母猪进行客观测量,以预测其未来是否会跛足。将后备母猪(N = 3656头)分类以描述其一生的健康状况:健康(SOUND),留作种用且未检测到运动问题;跛行母猪(LAME_SOW),留作种用且作为母猪时被检测到跛足;因腿部结构不良被淘汰(CULL_STR),因腿部结构问题未被留作种用;跛足后备母猪(LAME_GILT),因明显的跛足迹象未被留作种用;以及因腿部结构以外的原因被淘汰(CULL),因腿部结构以外的原因未被留作种用。GAIT4系统为每只蹄子创建一系列测量值和一个跛足评分(GLS),而NUtrack每天记录动物的运动和姿势持续时间。为了确定GAIT4和NUtrack系统的测量值是否与一生的健康状况相关,在R中进行了混合模型分析,包括父本品种、当代组和一生健康评分的固定效应,以及动物的随机效应。运行第二个混合模型时不包括一生健康评分,然后使用动物效应估计值,利用三代系谱和超过60%表型动物的约50k SNP基因型进行ssGBLUP分析。估计了基因组遗传力,反解了SNP效应,并基于Bonferroni校正的置换检验确定显著性。表明跛足的GAIT4性状(LAME_GILT和CULL_STR与SOUND相比;P < 0.05)是GLS的标准差、平均步长和平均站立时间,而显著的NUtrack测量值是进食、站立、侧卧、总躺卧、速度、距离和转身次数。此外,SOUND与LAME_SOW之间的转身次数不同(P < 0.05),距离也有差异趋势(P < 0.10)。预测性NUtrack性状的遗传力估计约为0.3,GAIT4性状约为0.2。在47个基因组区域中有382个显著的SNP效应,1号、4号、11号和14号染色体上的四个区域占关联的60%以上。基因组水平的推算基因型将几个区域与可能的致病基因联系起来。5月龄时GAIT4和NUtrack系统的客观测量值具有遗传性,能够检测出不健康的动物,并且与一生的健康状况相关。