Galiot Lucie, Lachance Isabelle, Laforest Jean-Paul, Guay Frédéric
Département des Sciences Animales, Université Laval, Ville de Québec, Qc G1 V 0A6, Canada.
Département des Sciences Animales, Université Laval, Ville de Québec, Qc G1 V 0A6, Canada.
Anim Reprod Sci. 2018 Jan;188:57-65. doi: 10.1016/j.anireprosci.2017.11.009. Epub 2017 Nov 10.
Increases in sow prolificacy have reduced piglet vitality, growth capacity and weight at weaning and even pig weight at slaughter. The aim of this study was to develop a model that predicts likelihood of mortality and weight at weaning. A database containing 3214 records of birth weight, weight gain at 24h, rectal temperature at 24h, litter size, age at weaning, fostering status, manual assistance of birth and oxytocin use as well as the corresponding 227 records of sow parity and feed intake was analysed using logit functions for mortality and linear functions for weaning weight. The best model of mortality predicted increased likelihood as birth weight, rectal temperature and 0-24h weight gain decreased and sow parity and time between births increased (P<0.01, χ=2910). The best model of weaning weight predicted increases with increasing birth weight, 0-24h body weight gain, age at weaning and sow parity and decreases with increasing litter size at 24h (P<0.01; AICC=4324; RMSE=0.82). This study confirmed that birth weight and weight gain during the first 24h are the principal factors influencing piglet growth and pre-weaning mortality.
母猪繁殖力的提高降低了仔猪的活力、生长能力以及断奶时的体重，甚至降低了屠宰时的猪体重。本研究的目的是建立一个预测死亡率和断奶体重可能性的模型。使用死亡率的logit函数和断奶体重的线性函数，分析了一个包含3214条出生体重、24小时体重增加、24小时直肠温度、窝产仔数、断奶年龄、寄养状态、人工助产和催产素使用记录以及相应的227条母猪胎次和采食量记录的数据库。死亡率的最佳模型预测，随着出生体重、直肠温度和0至24小时体重增加的降低以及母猪胎次和产仔间隔时间的增加，死亡可能性增加（P<0.01，χ=2910）。断奶体重的最佳模型预测，随着出生体重、0至24小时体重、断奶年龄和母猪胎次的增加而增加，随着24小时窝产仔数的增加而降低（P<0.01；AICC=4324；RMSE=0.82）。本研究证实，出生体重和出生后前24小时的体重增加是影响仔猪生长和断奶前死亡率的主要因素。
