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.

Abstract BRS 369RF and BRS 370RF were developed by the EMBRAPA as a part of efforts to create high-yielding germplasm with combinations of transgenic traits. BRS 369RF and BRS 370RF are midseason cultivars and have yield stability, adaptation to the central Brazilian savanna, good fiber quality and tolerance to glyphosate herbicide.

Cotton cultivar BRS 335 is a midseason high-yield cultivar and has adaptation to the Northeast Brazilian savanna, yield stability, desirable resistance to main cotton diseases and good fiber quality. The cultivar BRS 335 meets growers' demands for competitive lint yield as well as fulfilling industrial textile requirements.

A cultivar de algodoeiro BRS 336 possui alta qualidade de fibra, adaptação às principais regiões produtoras de algodoeiro no Brasil e resistência à mancha angular. BRS 336 possui comprimento de fibra acima de 32,0 mm e resistência da fibra superior às demais cultivares em uso no Brasil.

Cotton cultivar BRS 336 is a high-quality fiber upland cultivar and has wide adaptation to the Brazilian growing areas, with resistance to bacterial blight. BRS 336 exhibited fiber length higher than 32.0 mm in all field tests. Also, fiber strength exceeded all upland cotton currently grown in Brazil.

O objetivo deste trabalho foi comparar diferentes métodos de estimação da adaptabilidade e estabilidade produtiva em 17 genótipos de algodoeiro avaliados em 23 ambientes do Cerrado brasileiro. Os efeitos de genótipos e ambientes e a interação genótipos x ambientes foram significativos. Os modelos da ecovalência e AMMI indicaram a cultivar BRS Cedro como a mais estável, enquanto as cultivares Delta Penta e BRS Ipê foram identificadas como as mais instáveis; nenhuma delas esteve entre as mais produtivas. De acordo com o método de Eberhart & Russell, Lin & Binns e Annicchiarico, as cultivares BRS 269 - Buriti e FMT 701 e o genótipo CNPA GO 2001-999 foram os mais indicados para plantio no Cerrado, e se destacaram entre as cinco mais produtivas na média dos ambientes. A identificação de adaptabilidades específicas, proporcionada pela análise AMMI, é de grande relevância no estudo do comportamento dos genótipos. Pelo conjunto de informações obtidas e pela facilidade de uso e interpretação, recomenda-se o emprego do método de Lin & Binns , que pode ser complementado pela análise AMMI.

The objective of this work was to compare different methods used to estimate adaptability and stability of 17 cotton genotypes evaluated in 23 locations of the Brazilian savannah. Genotype and environment effects and genotype x environment interaction were significant. According to ecovalence and AMMI models, cultivar BRS Cedro showed the best stability. Varieties Delta Penta and BRS Ipê were among the most unstable genotypes, but not among the most productive. Using the methods of Eberhart & Russel, Lin & Binns and Annicchiarico, genotypes BRS 269 - Buriti, FMT 701 and CNPA GO 2001-999 were the most stable and among the five most productive on average. The evaluation of the specific adaptabilities provided by the AMMI analysis is of great importance in the study of the behavior of genotypes. The amount of information generated and the facilities of interpretation favors Lin & Binns method, which can be complemented by an AMMI analysis.