Abstract
Abstract : The objective of this work was to apply a multivariate index of vigor in soybean seeds to identify the differential effects of the genotypes x environments interaction on the quality of the seeds produced in the 2016/2017 harvest season. The experiment was conducted in a randomized block design, organized in the factorial scheme, with five seed production environments x 20 soybean genotypes, arranged in four replications. The seed production environments of Tenente Portela - RS and Santa Rosa - RS soybeans are characterized as the environments that express the highest magnitude for seed vigor index, however biometrically Sarandi - RS has been defined as the optimal environment for the production of high vigor seeds according to the tested genotypes. High seed vigor index were expressed for the genotypes TMG 7161 RR, AMS Tibagi RR, BMX Magna RR, Fepagro 37 RR and NA 5909 RG. The differential effects of the genotypes x production environments interaction of soybean seeds influenced by more than 68% the vigor index of the seeds produced.
Highlights
Soybean (Glycine max L.) is characterized as the most important crop for agribusiness
The experiment was conducted in the 2016/2017 agricultural year, in randomized blocks design, arranged in a factorial scheme, being: five seed production environments (Santa Rosa - RS, Tenente Portela - RS, Campos Borges - RS, Sarandi - RS and Pelotas - RS) x 20 soybean genotypes (BRS Tordilha RR, FPS Paranapanema RR, Fepagro 37 RR, FPS Solimões RR, Fepagro 36 RR, FPS Netuno RR, FPS Iguaçu RR, FPS Urano RR, FPS Júpiter RR, AMS Tibagi RR, BMX Magna RR, A 6411 RG, BMX Apolo RR, BMX Potência RR, BMX Alvo RR, Roos Camino RR, BMX Ativa RR, NA 5909 RG, BMX Turbo RR and TMG 7161 RR), disposed in four replications (Table 1; Figure 1)
The seed production environments of Tenente Portela RS and Santa Rosa - RS soybeans are characterized as the environments that express the highest magnitude for seed vigor index, biometrically Sarandi - RS has been
Summary
Soybean (Glycine max L.) is characterized as the most important crop for agribusiness. Soybean yield is determined by biotic and abiotic factors intrinsic to the growing environment, considering that seeds of high performance are defined as the main agricultural input (Szareski et al, 2018a; Carvalho et al, 2017a) They provide support to stresses after sowing and determine high yields. The seed production environment and the interaction between environments and genotypes can directly influence the quality of the seeds, because after the physiological maturity point (maximum dry matter accumulation, germination and vigor), the seeds are stored in the field of production until harvest point If inappropriate conditions such as high temperature and precipitation occur the deterioration of the seeds will be accentuated (Vasconcelos et al, 2012; Kehl et al, 2016; Pelegrin et al, 2016; Szareski et al, 2017). The methods of Genotype Main Effects and Genotype Environment Interaction (GGE) allows to identify and estimate the adaptability and stability of genotypes in relation to different growing environments, grouping the correlated environments to define macro environment, and revealing genotypes of high performance for the trait of interest (Yan et al, 2016; Woyann et al, 2017; Szareski et al, 2018c)
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