Environmental stratification in cotton in the presence or absence of genotypes with high ecovalence

• Autor(a) principal: Filho,João Luís da Silva
• Data de Publicação: 2017
• Outros Autores: Morello,Camilo de Lelis, Suassuna,Nelson Dias, Farias,Francisco José Correia, Lamas,Fernando Mendes, Pedrosa,Murilo Barros, Ribeiro,José Lopes, Suassuna,Taís de Moraes Falleiro
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Crop Breeding and Applied Biotechnology
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332017000100032
• topic: Gossypium hirsutum; genotype x environment interaction; AMMI and GGE biplot

Abstract Cottonseed yield data of 17 genotypes, of which two genotypes contributed to more than 30% of the total ecovalence, and grown in 23 locations, were used to compare four methods of disjoint environmental stratification: a) environmental index (Ie): favorable or unfavorable environments; b) stratification in partitions that maximize the sum of squares of the genotype x partition interaction [(GP)m]; c) environmental scores of the second principal component of the GGE analysis (PC2-GGE); d) environmental scores of the first principal component of the AMMI analysis (PC1-AMMI). Scenarios were simulated (10,000 simulations per scenario) using combination of nine or 13 environments and 11 genotypes, either including or excluding those with the highest ecovalence values. In all scenarios, the greatest selection gains were obtained via PC2-GGE stratification, and the lowest selection gains were obtained via Ie. The ecovalences of the genotypes influenced the results obtained using the stratification methods.