292 Genetic trend for feed efficiency, growth and carcass traits in three Canadian beef cattle populations involved in the Kinsella breeding project. | Zendy

Chinyere Ekine-Dzivenu | Zendy; E. C. Akanno | Zendy; L Chen | Zendy; Lisa McKeown | Zendy; Barry Irving | Zendy; Lisa Baker | Zendy; Michael Vinsky | Zendy; Sarah Miller | Zendy; Z Wang | Zendy; John Crowley | Zendy; M.G. Colazo | Zendy; D.J. Ambrose | Zendy; M. Juárez | Zendy; Heather L. Bruce | Zendy; M. D. MacNeil | Zendy; Graham Plastow | Zendy; J. A. Basarab | Zendy; C Li | Zendy; Carolyn Fitzsimmons | Zendy

Open Access

292 Genetic trend for feed efficiency, growth and carcass traits in three Canadian beef cattle populations involved in the Kinsella breeding project.

Author(s) -

Chinyere Ekine-Dzivenu,

E. C. Akanno,

L Chen,

Lisa McKeown,

Barry Irving,

Lisa Baker,

Michael Vinsky,

Sarah Miller,

Z Wang,

John Crowley,

M.G. Colazo,

D.J. Ambrose,

M. Juárez,

Heather L. Bruce,

M. D. MacNeil,

Graham Plastow,

J. A. Basarab,

C Li,

Carolyn Fitzsimmons

Publication year - 2018

Publication title -

journal of animal science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.928

H-Index - 156

eISSN - 1525-3015

pISSN - 0021-8812

DOI - 10.1093/jas/sky404.241

Subject(s) - residual feed intake , beef cattle , purebred , marbled meat , biology , zoology , feed conversion ratio , breed , population , feedlot , herd , carcass weight , dry matter , selection (genetic algorithm) , microbiology and biotechnology , body weight , demography , artificial intelligence , sociology , computer science , endocrinology

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