Abstract
Abstract: The aim of this study was to ascertain the association between the REML/BLUP and GGE Biplot methodologies for selection of superior genotypes in regard to adaptability and yield stability for various regions of the Middle North region of Brazil. Sixteen soybean genotypes were evaluated in eight environments during the 2015/2016 and 2016/2017 crop seasons, analyzing the following traits: number of days to maturity, plant height, one hundred seed weight, and grain yield. In this study, the REML/BLUP and the GGE Biplot methods are highly correlated in terms of genotype ranking for selection and recommendation purposes. The genotypes BRASBT13-0528, M8372 IPRO, and BRASBT13-0621 most approximate a hypothetical ideal genotype.
Highlights
Soybean [Glycine max (L.) Merrill] is of great socioeconomic importance for Brazil as it is the basis for various food products and for animal feed
Data from the Value for Cultivation and Use (VCU) trials were used from the following sixteen soybean genotypes, with their respective maturity groups: twelve lines with the Intacta® technology originating from the Soybean Breeding Program of Embrapa Meio-Norte [BRASBT13-0054, 8.2 (G1); BRASBT13-0176, 8.1 (G2); BRASBT13-0200, 8.4 (G3); BRASBT13-0468, 8.0 (G4); BRASBT13-0528, 8.2 (G5); BRASBT13-0553, 8.5 (G6); BRASBT13-0590, 7.9 (G7); BRASBT13-0621, 8.4 (G8); BRASBT13-0646, 8.1 (G9); BRASBT13-0715, 7.9 (G10); BRASBT13-0762, 8.1 (G11); and BRASBT13-0834, 8.2 (G12)] and four cultivars [M7739 IPRO1 (G13), 7.7; M8372 IPRO1 (G14), 8.3; M9144 RR1, 9.1 (G15); and BRS8980 IPRO1, 8.9 (G16)]
The variance components revealed a greater contribution from genotypic variance in phenotypic expression (σ 2f ) of the number of days to maturity (NDM) and plant height (PH) traits (Table 1)
Summary
Soybean [Glycine max (L.) Merrill] is of great socioeconomic importance for Brazil as it is the basis for various food products and for animal feed. The Brazilian Cerrado (tropical savanna) regions constitute 204 million hectares, 10.7% of which are in the states of Maranhão and Piauí, which compose the Middle-North or Western Northeast region of Brazil This region is prominent in food production due to its climate conditions and soils conducive to grain production (Cardoso et al 2012). Higher-yielding genotypes with desirable characteristics are selected through experiments in different environments (years and locations), which show that the same cultivar may perform differently according to the growing environment This fluctuation arises from the genetic and environmental components and the interaction between them, known as the genotype × environment (G × E) interaction (Bornhofen et al 2017). The effects of this interaction are one of the main challenges faced by breeders at the time of ORCID: 0000-0001-9745-0929
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