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2017•Colloquium AgrariaeOpen access

FALHAS REPRODUTIVAS EM VACAS LEITEIRAS

Vitor Lemes Silva, Flávio Henrique de Paula, Aline Sousa Camargos, Jéferson Corrêa Ribeiro, Andréia Santos Cezário, Wallacy Barbacena Rosa dos Santos

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Abstract

Knowing the main causes that influence the reproductive index of a herd helps to understand how they act and the best way to control them, and to increase the gains with the bovine production, that every year that passes specializes to be able to continue in the market high. A good sanitary management program, coupled with an efficient control of the data of each animal, is of great importance for the success of the control of reproductive failures. This article aimed to review the most frequent reproductive failures of dairy cows on high yield farms

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What this paper is about

Knowing the main causes that influence the reproductive index of a herd helps to understand how they act and the best way to control them, and to increase the gains with the bovine production, that every year that passes specializes to be able to continue in the market high. A good sanitary management program, coupled with an efficient control of the data of each animal, is of great importance for the success of the control of reproductive failures. This article aimed to review the most frequent reproductive failures of dairy cows on high yield farms

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Available abstract

Knowing the main causes that influence the reproductive index of a herd helps to understand how they act and the best way to control them, and to increase the gains with the bovine production, that every year that passes specializes to be able to continue in the market high. A good sanitary management program, coupled with an efficient control of the data of each animal, is of great importance for the success of the control of reproductive failures. This article aimed to review the most frequent reproductive failures of dairy cows on high yield farms

Key concepts: Herd, Business, Milk production, Control (management), Agricultural science, Biology, Animal science, Computer science

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