Abstract

Upland rice (Oryza sativa L.) production is basically concentrated in four central Brazilian States, Mato Grosso, Goias, Rondonia and Tocantins. To reduce the genotype and environment (G × E) interactions, the classification of environment groups was proposed. The goal of this study explores possibilities to adjust the upland rice regional breeding systems to optimally fit to the range of environments they are targeting, based on a historical yield data set of the Brazilian Geographic and Statistics Institute (IBGE, www.ibge.gov.br/home/) from 54 microregions. The specific objectives of this study were: (i) to identify and classify environmental groups in the Brazilian upland rice production area; (ii) to validate these environmental groups using yield data set from the upland rice multi-trial experiments (MTEs); (iii) and to identify the most representative site for each environmental group. For this the historical upland rice yield data from 54 microregions were detrented from the effects of technological advances and adjusted to the reference year, 2006. The adjusted yield data were used to build a matrix, which was submitted to a cluster analysis allowing the identification of three different environmental groups. These groups were classified as: highly favorable environment (HFE); favorable environment (FE); and less favorable environment (LFE). The HFE is less affected by inter-annual rainfall variability than the other two groups. The upland rice breeding programs must take into account the differences among the environmental groups to conduct their trials and suggest genotypes for the upland production area.

Highlights

  • Upland rice (Oryza sativa L.) (ULR) environments experience multiple abiotic stresses and are characterized by high levels of uncertainty caused by rainfall variability (Tuong et al, 2000)

  • N where: α is the variance of the upland rice BRS Primavera yield data for a chosen cropping season in different microregions located at the same environmental group, n is the number of trials for a given cropping season and x is the BRS Primavera yield data for a given trial and cropping season, and eq (4):

  • This study is based on the concept that it is possible to use the upland rice adjusted yield from IBGE historical series (AGROTEC database) to identify environmental groups for upland rice production in central Brazil

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Summary

Introduction

Upland rice (Oryza sativa L.) (ULR) environments experience multiple abiotic stresses and are characterized by high levels of uncertainty caused by rainfall variability (Tuong et al, 2000). Production areas are characterized by high heterogeneity, related to both climate and soil fertility (Piggin et al, 1998). One of the main environmental limiting factors for rice production is soil water availability, mainly in the Brazilian savannahs where subsoil acidity leads to a restricted rooting depth, which increases the effects of moderate droughts. To reduce the G × E or the cross-over interaction, Braun et al (1996) proposed the classification of mega-environments (MEs) and defined them as the growing region of a crop species where the environmental conditions are relatively homogenous. ME classification helps the breeding programs to target the deployment of the germplasm, and increases the heritability of selection and, the efficiency of the breeding program (Hernandez-Segundo et al, 2009)

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