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Optimum environment number for the national sunflower trials network Agronomy
Matta, Luiza Barbosa; Cruz, Cosme Damião; Santos, Iara Gonçalves; Carvalho, Claudio Guilherme Portela; Borba Filho, Aluisio Brigido; Alves, Alberto Donizete.
This work aimed to present the optimum environment number methodology and propose the optimization of the National Sunflower Trials Network, by means of the environments exclusion that do not provide loss of the environmental variability already established. Grain and oil yield data of 16 genotypes evaluated at 16 environments of the National Sunflower Trials Network, obtained from trials conducted out-of-season in 2012 and 2013 were used. An analysis was proposed to establish the optimum environment number for genotypes evaluation, based on genotype performance in the various environmental combinations. The removal or maintenance of environments in the experimental network was dynamic, since different environmental combinations impacted the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Helianthus annuus L.; Environmental stratification; Experimental network. Genética.
Ano: 2019 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42792
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Key locations for soybean genotype assessment in Central Brazil PAB
Pacheco,Roberto Miranda; Duarte,João Batista; Souza,Plínio Itamar Mello de; Silva,Sérgio Abud da; Nunes Junior,José.
The objective of this work was to identify key locations for the establishment of soybean (Glycine max) genetic breeding programs, in the Central Region of Brazil. Grain yield data of three maturity groups of soybean genotypes, from regional trials conducted over three years, at 18 locations in Brazilian Cerrado were used. A key location for the early phases of the breeding program was defined as the site that best classifies the winning genotypes in the region. Key locations for the final phases were defined as those sites that best represent each environmental stratum, in relation to the adaptability of the respective winning genotype. This adaptability was estimated by additive main effects and multiplicative interaction (AMMI) model analysis, using the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Glycine max; Adaptability; AMMI analysis; Environmental stratification; G×E interaction.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2009000500007
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