1. Phenotypic selection of Brahman bulls: Adaptive typification for breeding programs.
- Author
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Evangelista Façanha DA, Leite JHGM, Rufino Sousa JE, Ferreira JB, Costa WP, Jannuzzi Valente FL, and Bermejo Asensio LA
- Subjects
- Animal Fur metabolism, Animals, Body Size, Cattle physiology, Male, Phenotype, Cattle genetics, Selective Breeding, Sweating, Thermotolerance
- Abstract
The purpose of this study was to evaluate the relationship between adaptive and productive performance and determine which characteristics related to adaptation could be included as criteria for the selection of Brahman bulls managed in a tropical region. Fifty Brahman bulls were evaluated in relation to productive performance and adaptive capacity to a hot environment. The animals were grouped according to the following characteristics: Respiratory rate (RR), Sweating rate (SR) and coat traits. Three clusters were formed with these different characteristics related to thermoregulation after that these clusters were compared with productive performance that includes weighing of animals, carcass and scrotal circumference. The high adapted group corresponded to the animals with higher productive performance, with heavier animals in terms of weight at 550 days and carcass weight. The principal components analysis (PCA1) showed that carcass weight (0.95), weight at 550 days (0.92) and gain weight (0.71) were characteristics strongly correlated with the performance of the animals. These sets of characteristics were analyzed together (productive characteristics) in a multiple regression. The animals with better productive performance presented shorter hair, a greater capacity to heat dissipate by sweating and a lower rectal temperature. These characteristics were most suitable to inclusion in the breeding programs, resulting in higher economic gains. It is possible to simultaneously select resistant animals to thermal stress as well as to maintain the productivity of the flocks., (Copyright © 2020 Elsevier Ltd. All rights reserved.)
- Published
- 2020
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