Togashi Kenji, Watanabe Toshio, Ogino Atsushi, Shinomiya Masakazu, Kinukawa Masashi, Kurogi Kazuhito, Toda Shohei
Livestock Improvement Association of Japan, Maebashi, Gunma 371-0121, Japan(Retired).
Livestock Improvement Association of Japan, Maebashi, Gunma 371-0121, Japan.
Anim Biosci. 2024 May;37(5):839-851. doi: 10.5713/ab.23.0343. Epub 2024 Jan 20.
The main goal of our current study was to improve the growth curve of meat animals by decreasing the birth weight while achieving a finishing weight that is the same as that before selection but at younger age.
Random regression model was developed to derive various selection indices to achieve desired gains in body weight at target time points throughout the fattening process. We considered absolute and proportional gains at specific ages (in weeks) and for various stages (i.e., early, middle, late) during the fattening process.
The point gain index was particularly easy to use because breeders can assign a specific age (in weeks) as a time point and model either the actual weight gain desired or a scaled percentage gain in body weight.
The point gain index we developed can achieve the desired weight gain at any given postnatal week of the growing process and is an easy-to-use and practical option for improving the growth curve.
我们当前研究的主要目标是通过降低出生体重来改善肉用动物的生长曲线,同时在达到与选择前相同的出栏体重的情况下实现出栏年龄更小。
开发随机回归模型以得出各种选择指数,从而在育肥过程中的目标时间点实现期望的体重增加。我们考虑了特定年龄(以周为单位)以及育肥过程中各个阶段(即早期、中期、后期)的绝对增重和比例增重。
点增重指数特别易于使用,因为育种者可以指定一个特定年龄(以周为单位)作为时间点,并对期望的实际体重增加或体重的缩放百分比增加进行建模。
我们开发的点增重指数能够在生长过程中任何给定的出生后周数实现期望的体重增加,并且是改善生长曲线的一种易于使用且实用的选择。