SciELO - Scientific Electronic Library Online

 
vol.17 número1Adaptability, stability, and genetic divergence of conilon coffee in Alto Suaçuí, Minas Gerais, BrazilReaction of common bean lines to Xanthomonas axonopodis pv. phaseoli and Curtobacterium flaccumfaciens pv. Flaccumfaciens índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

Compartilhar


Crop Breeding and Applied Biotechnology

versão impressa ISSN 1518-7853versão On-line ISSN 1984-7033

Resumo

FILHO, João Luís da Silva et al. Environmental stratification in cotton in the presence or absence of genotypes with high ecovalence. Crop Breed. Appl. Biotechnol. [online]. 2017, vol.17, n.1, pp.32-39. ISSN 1518-7853.  http://dx.doi.org/10.1590/1984-70332017v17n1a5.

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.

Palavras-chave : Gossypium hirsutum; genotype x environment interaction; AMMI and GGE biplot.

        · texto em Inglês     · Inglês ( pdf )