Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sabrina T Amorim"'
Autor:
João B. Silva Neto, Lucio F. M. Mota, Sabrina T. Amorim, Elisa Peripolli, Luiz F. Brito, Claudio U. Magnabosco, Fernando Baldi
Publikováno v:
Genetics Selection Evolution, Vol 55, Iss 1, Pp 1-12 (2023)
Abstract Background Selecting animals for feed efficiency directly impacts the profitability of the beef cattle industry, which contributes to minimizing the environmental footprint of beef production. Genetic and environmental factors influence anim
Externí odkaz:
https://doaj.org/article/de175c4963d545159a017ea07322892c
Autor:
BYANKA B. SOARES, LUDMILLA C. BRUNES, FERNANDO SEBASTIAN BALDI, ADRIANA S. DO CARMO, LETÍCIA S. PEREIRA, RAFAEL A. CARVALHO, MARCELO G. NARCISO, SABRINA T. AMORIM, ROBERTO DANIEL SAINZ, CLÁUDIO U. MAGNABOSCO
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 96, Iss 1 (2024)
Abstract Growth and carcass traits are essential selection criteria for beef cattle breeding programs. However, it is necessary to combine these measurements with body composition traits to meet the demand of the consumer market. This study aimed to
Externí odkaz:
https://doaj.org/article/e9ea43fa2fb640c795b5b234763220ea
Autor:
Robert Kadlec, Sam Indest, Kayla Castro, Shayan Waqar, Leticia M Campos, Sabrina T Amorim, Ye Bi, Mark D Hanigan, Gota Morota
Publikováno v:
Translational Animal Science. 6
Animal dimensions are essential indicators for monitoring their growth rate, diet efficiency, and health status. A computer vision system is a recently emerging precision livestock farming technology that overcomes the previously unresolved challenge
Publikováno v:
Animal genetics. 53(1)