Sobczyńska M, Blicharski T
Institute of Genetics and Animal Breeding PAS, Magdalenka, Poland.
J Anim Breed Genet. 2015 Aug;132(4):318-27. doi: 10.1111/jbg.12135. Epub 2015 Apr 16.
The influence of some production traits on the longevity of Polish Landrace sows was evaluated using survival analysis. Estimates of genetic parameters were obtained from the sire and animal components in linear and survival methodologies. Comparison between survival and linear models was based on heritabilities and ranking of estimated breeding values of sires. The same data set, 13,031 sows, was used for both methodologies, even in the presence of censored observations. The effects of herdyear and yearseason of the first farrowing had the largest influence on the risk of culling of sows. Sows born in spring season (March-May) had a 24% (p < 0.001) lower hazard for removal than those born in winter (December-February). The age at first farrowing had a small but significant effect on culling: the hazard regression coefficient for this trait was 0.002 per day. Sows that had more piglets born alive and fewer stillborn in the first litter had a decreased risk of being culled. Within a contemporary group, slower growing gilts had decreased removal risk. The relative risk ratios show a marginal decreased rate of culling for sows with backfat thickness between 9.5 and 11 mm compared to the leaner sows. Loin depth had no effect on sow longevity. Heritability estimates ranged from 0.09 to 0.38 depending on the model and type of analysis. In survival analysis, all heritabilities for longevity were higher when analysed with sire models (0.21 and 0.38) compared to animal models (0.09 and 0.16). The use of animal or sire models in the linear analysis gave similar heritability estimates (0.12 and 0.10). Correlations between breeding values for sires were moderate and high, with absolute values from 0.51 to 0.99, depending on the model fitted and methodology. A stronger correlations within methodologies (0.83-0.99) than within models with different methodologies (0.51-0.63) were obtained.
采用生存分析评估了一些生产性状对波兰长白母猪寿命的影响。遗传参数估计值是通过线性和生存方法从父系和个体成分中获得的。生存模型和线性模型之间的比较基于遗传力和公猪估计育种值的排名。两种方法都使用了相同的数据集,即13,031头母猪,即使存在删失观测值。首次产仔的猪群年份和年份季节效应,对母猪淘汰风险的影响最大。春季(3月至5月)出生的母猪被淘汰的风险比冬季(12月至2月)出生的母猪低24%(p < 0.001)。首次产仔年龄对淘汰有微小但显著的影响:该性状的风险回归系数为每天0.002。第一窝产活仔数较多且死胎数较少的母猪被淘汰的风险降低。在同一当代组中,生长较慢的后备母猪被淘汰的风险降低。相对风险比显示,与较瘦的母猪相比,背膘厚度在9.5至11毫米之间的母猪淘汰率略有下降。腰部深度对母猪寿命没有影响。遗传力估计值介于0.09至0.38之间,具体取决于模型和分析类型。在生存分析中,与个体模型(0.09和0.16)相比,用父系模型分析时,所有寿命遗传力都更高(0.21和0.38)。在进行线性分析时,使用个体或父系模型得出的遗传力估计值相似(0.12和0.10)。公猪育种值之间的相关性为中等至高,绝对值在0.51至0.99之间,具体取决于所拟合的模型和方法。在不同方法之间,同一方法内的相关性(0.83 - 0.99)比不同方法的模型之间的相关性(0.51 - 0.63)更强。