Abstract

This study aimed to evaluate the influence of initial weight, initial age, average daily gain in initial weight, average daily gain in total weight and genetic group on the probability of pregnancy in primiparous females of the Nellore, 1/2 Simmental + 1/2 Nellore, and 3/4 Nellore + 1/4 Simmental genetic groups. Data were collected from the livestock file of the Farpal Farm, located in the municipality of Jaíba, Minas Gerais State, Brazil. The pregnancy diagnosis results (success = 1 and failure = 0) were used to determine the probability of pregnancy that was modeled using logistic regression by the Proc Logistic procedure available on SAS (Statistical..., 2004) software, from the regressor variables initial weight, average daily gain in initial weight, average daily gain in total weight, and genetic group. Initial weight (IW) was the most important variable in the probability of pregnancy in heifers, and 1-kg increments in IW allowed for increases of 5.8, 9.8 and 3.4% in the probability of pregnancy in Nellore, 1/2 Simmental + 1/2 Nellore and, 3/4 Nellore + 1/4 Simmental heifers, respectively. The initial age influenced the probability of pregnancy in Nellore heifers. From the estimates of the effects of each variable it was possible to determine the minimum initial weights for each genetic group. This information can be used to monitor the development of heifers until the breeding season and increase the pregnancy rate.

Highlights

  • Productive efficiency is vital for the profitability of beef cattle farming, and increased production in kg of live weight or kg of live weight ha–1 year–1 depends on the reproductive rates of the herd (Barbosa et al, 2010)

  • The birth rate refers to the number of calves born alive according to the total number of breeding females, evaluated over a given period, whereas the pregnancy rate is the percentage of these females which became pregnant

  • Data pertaining to 148 heifers (59 Nellore, 46 1⁄2 Simmental + 1⁄2 Nellore, and 43 3⁄4 Nellore + 1⁄4 Simmental), obtained from the livestock files of the Farpal Farm in the municipality of Jaíba, Minas Gerais State, Brazil, were used in this study

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Summary

Introduction

Productive efficiency is vital for the profitability of beef cattle farming, and increased production in kg of live weight or kg of live weight ha–1 year–1 depends on the reproductive rates of the herd (Barbosa et al, 2010). The birth rate refers to the number of calves born alive according to the total number of breeding females, evaluated over a given period, whereas the pregnancy rate is the percentage of these females which became pregnant. These indicators quantify the reproductive efficiency of the system (Menezes et al, 2010). Increasing birth rate by one percentage point and reducing ages of mating and slaughter by one year resulted in average increases in production per hectare of 0.84%, 9.19% and 8.11% and in the outcome rates of 0.88%, 8.81% and 19.7%, respectively (Lampert et al 2012). Quantifying the most relevant factors influencing this rate is crucial for the establishment of measures to optimize the number of pregnant females at the end of the breeding season

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