Genetic parameters estimated with multitrait and linear spline-random regression models using Gelbvieh early growth data.

@article{Iwaisaki2005GeneticPE,
  title={Genetic parameters estimated with multitrait and linear spline-random regression models using Gelbvieh early growth data.},
  author={Hiroaki Iwaisaki and Shogo Tsuruta and Ignacy Misztal and Joseph Keith Bertrand},
  journal={Journal of animal science},
  year={2005},
  volume={83 4},
  pages={757-63}
}
Estimates of direct and maternal genetic parameters in beef cattle were obtained with a random regression model with a linear spline function (SFM) and were compared with those obtained by a multitrait model (MTM). Weight data of 18,900 Gelbvieh calves were used, of which 100, 75, and 17% had birth (BWT), weaning (WWT), and yearling (YWT) weights… CONTINUE READING