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This study aimed to evaluate the adaptability and phenotypic stability of 10 soybean genotypes in 12 environments in Paraná state by using the additive main effects and multiplicative interaction analysis (AMMI) and Eberhart and Russell models. The assays were conducted in a randomized complete block design with three replicates, in the 2010/2011 season in four locations in Paraná state (Assaí, São Pedro do Ivaí, Cornélio Procópio, and Marilândia do Sul), and with three sowing dates (15/-20/10/10; 29/10-03/11/10; 15/-20/11/10). The cultivars tested with Roundup Ready® technology included SYN 1049, SYN 1152, SYN 1059, SYN 3358, SYN 1163, SYN 1157, V-MAX, FT Campo Mourão, BMX Potência, and SYN 9070. The yield character was analyzed. Data were submitted to analysis of variance and the adaptability and stability were then analyzed. The results of the AMMI and Eberhart and Russell models were somewhat consistent for the stability parameter only. The AMMI analysis was able to capture 66% of the variance associated with residue no additives, of which 43.18% was retained in the first principal component of interaction and 23.58%, in the second component. This is sufficient to explain the genotype × environment interaction. The SYN 1059, SYN 1163, and VMAX genotypes are distinguished by their considerably higher yield and productive adaptation. In the AMMI analysis, the cultivar SYN 1163 showed commercial promise among the other cultivars for high grain yield performance, adaptation, and response predictability. Key words: Biometric models. Predictability. Grain yield. Different environments. -20/10/10; 29/10/10 -03/11/10; 15/11/10 -20/11/10). Resumo

The aim of this work was to analyze the adaptability and stability of soybean grain yield in fifteen environments in Paraná through different methodologies. Trials were conducted to test the genotypes SYN 1049; SYN 1152; SYN 1059; SYN 3358; SYN 1163; and, SYN 1157, at five sites with three different sowing times in 2011/2012 season. The analyzed character was grain yield per hectare. The analysis of adaptability and stability was performed by bissegmented regression, factors analysis and AMMI analysis. The estimates of the environmental indices by the tested analyses were partially concordant regarding the classification of the environments as favourable or unfavourable to the cultivars. Both the factor analysis and the AMMI analysis allowed the classification of the cultivars in relation to the specific environmental conditions. The soybean cultivars SYN 1059 and SYN 1163 revealed specific adaptability for the three analysis methodologies. Stability was also revealed through the bissegmented regression and the IPCA1 vs. mean methods.

The use of plant growth regulators in agriculture can alter the morphology of corn plants, increasing crop yield due to the possibility of increasing the population. This study aimed to evaluate the effects of plant populations associated with trinexapac-ethyl (TE) doses on the biometric characteristics of shoot and grain yield of contrasting corn cultivars regarding plant architecture. Experiments were conducted in the field during two seasons with the hybrids 2B710 HX (flat leaf) and TL Status (erect leaf) in a randomized block design (four replications) and treatments in a 5 × 5 factorial scheme, with five plant populations (40, 60, 80, 100, and 120 thousand plants ha−1) and five TE doses (0, 100, 200, 300, and 400 g a.i. ha−1) applied by foliar spraying at the V6 stage. Plant height, ear insertion height, stem diameter, leaf area index, and grain yield were evaluated. An increment in population increases plant height, ear insertion height, and the leaf area index, but reduces stem diameter. The plant growth regulator TE reduces plant height and ear insertion height. The interaction between plant population and TE favors corn yield, with the highest values observed in combinations of 93.4 thousand plants ha−1 with a dose of 176 g ha−1 of TE for the hybrid 2B710 HX and 92.2 thousand plants ha−1 with a dose of 251 g ha−1 of TE for the hybrid Status TL.