ABSTRACT.Estimating genotype x environment (GxE) parameters for quality and yield in soybean seed grown in different environments in Minas Gerais State was the goal of this study, as well as to evaluate interaction effects of GxE for soybean seeds yield and quality. Seeds were produced in three locations in Minas Gerais State (Lavras, Inconfidentes, and Patos de Minas) in 2013/14 and 2014/15 seasons. Field experiments were conducted in randomized blocks in a factorial 17 x 6 (GxE), and three replications. Seed yield and quality were evaluated for germination in substrates paper and sand, seedling emergence, speed emergency index, mechanical damage by sodium hypochlorite, electrical conductivity, speed aging, vigor and viability of seeds by tetrazolium test in laboratory using completely randomized design. Quadratic component genotypic, GXE variance component, genotype determination coefficient, genetic variation coefficient and environmental variation coefficient were estimated using the Genes software. Percentage analysis of genotypes contribution, environments and genotype x environment interaction were conducted by sites combination two by two and three sites combination, using the R software. Considering genotypes selection of broad adaptation, TMG 1179 RR, CD 2737 RR, and CD 237 RR associated better yield performance at high physical and physiological potential of seed. Environmental effect was more expressive for most of the characters related to soybean seed quality. GxE interaction effects were expressive though genotypes did not present coincidental behavior in different environments.

BACKGROUND The occurrence of diseases can alter coffee (Coffea arabica L.) metabolism, causing changes in the composition of coffee beans and beverage quality. However, little is known about which aspects of coffee quality are actually altered by rust (Hemileia vastatrix Berk et Br.) and by its main control methods. The effect of chemical and genetic methods for the control of coffee rust on the quality of coffee beans and beverage was investigated. RESULTS Both genetic and chemical control reduce the damage caused by the disease in the composition of coffee beans. Genotypes with resistant ancestry, even with resistance breakdown, respond better to chemical control. The combination of genetic and chemical control favors an increase in the sugar content in the beans. CONCLUSIONS Despite the fact that both genetic and chemical control are effective in reducing disease damage regarding the chemical composition of beans, the quality potential of Timor Hybrid genotypes associated with the cancellation of rust expression through the joint action of genetic and chemical control favors the composition of beans and, consequently, the quantitative assessment of sensory attributes, adding value to the final product. © 2020 Society of Chemical Industry

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Despite the great diversity of available Arabica coffee cultivars it is observed that, even when presenting different phenotypes of interest, new cultivars are adopted at a slow pace by coffee growers. One possible reason may be the lack of information on the performance of these genotypes in different regions and culture conditions. The aim this work was to verify the performance of twelve coffee cultivars in relation to morphoagronomic characteristics at initial stage of development, as well as the beans quality, in a condition of typical cultivation of the Cerrado. The trial was carried out in the municipality of Monte Carmelo - MG, in randomized block design, with four replicates. Morphoagronomic characteristics were evaluated 15 months after the implantation of the crop. The productivity and, subsequently, the quality of the beans, were evaluated at 18 months. Statistical analyzes were performed using the Genes software. The data were submitted to analysis of variance. The F test was used to determine the significance of treatments. The means were grouped by the Scott-Knott test (1974) at 5% probability and the experimental precision was verified by the estimation of the experimental variation coefficient (CV) and the selective accuracy. The sensory attributes were evaluated in a radar diagram, called “Sensogram”. Genetic variability was observed among cultivars for the vegetative characters. The cultivars Catuaí Vermelho IAC 144 and MGS Aranãs stood out as more productive, with a high percentage of sieve 16 and above and low percentage of grain type mocha. All the cultivars stood out as special, with emphasis on the cultivar Bourbon Amarelo IAC J10 in the wet processing and Catuaí Vermelho IAC 144 in the natural processing.

An option into guide selection strategies in soybean breeding programs is to investigate associations between the main traits studied by breeders. A question that is faced is the possible influence of genotype x environment (GE) interactions on correlations among traits. Path analysis allows, in addition to measuring correlation, a more detailed study of cause / effect relationships among traits. We measured the effect of the GE interaction in the association between agronomic traits in soybeans. The experiments were carried out during two crop seasons, in three municipalities of Minas Gerais, Brazil, using a randomized complete blocks design, with 35 treatments. We evaluated number of grains, number of pods (NP), number of grains per pod, grain yield, weight of 100 grains, lodging score, plant height, height of first pod insertion, and full maturity. The data were submitted to variance analysis and path analysis. We also calculated the sum of ranks index in three ways, considering different economic weights. The correlation between grain yield and other traits, as well as direct and indirect effects, varied in magnitude and direction, considering individual and multienvironmental analyses, demonstrating the influence of the GE interaction. For example, considering the individual analysis for Lavras ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 18 (3): gmr18099 D.R. Pereira et al. 2 in 2015/16, the correlation between grain yield and NP was-0.0534 and was not significant at the 5% level by the Mantel test, and the direct effect of NP on grain yield was 0.1717, while in the joint analysis of all environments, the correlation between these traits was 0.3674 and was significant, and the direct effect of NP on grain yield was-0.0520.The direct effect as an economic weight in the sum of rank index can be more efficient in selecting cultivars when compared to a simple correlation; this could become a useful strategy for the selection of multiple traits.