Quantitative evaluation of productive traits and linear measures in dairy cattle of Holstein breed
DOI:
https://doi.org/10.22256/pubvet.v8n1.1654Keywords:
Dairy production; Holstein cow; visual evaluationAbstract
The milk production maximization have been being by several years selected in the livestock that do this economical function, however, can be observed that the precocity sell of cows from median to high production, due problems in the important functional traits, as aplomb and aspects relationship to the mammary system. The cows that have the best functional traits can be kept in the livestock by more time, but, they should be good milk producers, having the chance to produce more daughters that can be incorporate into the livestock or sold, aiming important gains to the milk producer. The study was conducted in a dairy livestock located in the São Luís de Montes Belos city, Goiás state. There were evaluated 50 cows of Holstein breed, in the same lactation stadium, evaluated the daily milk production, the milk production adjusted by 305 days of each animal and 07 type linear measures. The linear measures were themselves correlated and with the milk production, by the Pearson correlation. It was evaluate the scores for ramp angulation and legs angulation, considering scale from 01 to 09, and mouth width, considering scale from 01 to 05. The average milk production until 305 days found in this study was 9,860 kg of milk. The average body weight was 658.70 kg. Could be observed that 46% and 36% of the animal showing the ramp angulation and legs angulation in the 07 score. Can be adopted the selection considering the less corporal size and better legs angulation, aiming the better benefice – cost relationship between milk production costs and animals productive. The highest phenotypic correlation occurred between the daily milk production and the posterior uberous width, showing that the cows with this higher measure, trend to produce more milk, should, therefore, include in the selection criteria of the livestock
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Copyright (c) 2014 Rodrigo Zaiden Taveira, Osvaldo José da Silveira Neto, Thais Nunes Luz, Ana Anária Alvarenga Leite, Bruna Cristhina de Oliveira, Taynara Raimundo Martins
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