Climatic spatialization and analyses of longitudinal data of beef cattle Nellore raising Maranhão, Pará and Tocantins using univariate and multivariate approach

Abstract

This study was carried out to spatialize climatic factors that best discriminate the states of Maranhão, Pará and Tocantins, to analyze the structure of phenotypic correlation between phenotypic variables weights standardized at 120, 210, 365, 450 and 550 days old and propose phenotypic indices for animals selection in these States. The climate variables analyzed were maximum temperature, minimum temperature, average temperature, precipitation, normalized difference vegetative index, humidity, altitude and temperature and humidity index. Univariate and multivariate approach were used by procedures program Statistical Analysis System, SAS, to explain the relationship intra-variables, phenotypic and environmental variation. The expected differences in the progenies (EDPs) were predicted using the software MTDFREML. All climatic and phenotypic variables were effective in discriminating the Maranhão, Pará and Tocantins States. Thus, we suggest the use of phenotypic indices for classification and animals' selection within each State.