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Development of an index that decreases birth weight, promotes postnatal growth and yet minimizes selection intensity in beef cattle.
Togashi, Kenji; Watanabe, Toshio; Ogino, Atsushi; Shinomiya, Masakazu; Kinukawa, Masashi; Kurogi, Kazuhito; Toda, Shohei.
Afiliação
  • Togashi K; Livestock Improvement Association of Japan, Maebashi, Gunma 371-0121, Japan(Retired).
  • Watanabe T; Livestock Improvement Association of Japan, Maebashi, Gunma 371-0121, Japan.
  • Ogino A; Livestock Improvement Association of Japan, Maebashi, Gunma 371-0121, Japan.
  • Shinomiya M; Livestock Improvement Association of Japan, Koto-ku, Tokyo 135-0041, Japan.
  • Kinukawa M; Livestock Improvement Association of Japan, Maebashi, Gunma 371-0121, Japan.
  • Kurogi K; Livestock Improvement Association of Japan, Koto-ku, Tokyo 135-0041, Japan.
  • Toda S; Livestock Improvement Association of Japan, Maebashi, Gunma 371-0121, Japan.
Anim Biosci ; 37(5): 839-851, 2024 May.
Article em En | MEDLINE | ID: mdl-38271985
ABSTRACT

OBJECTIVE:

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.

METHODS:

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.

RESULTS:

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.

CONCLUSION:

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article