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The cape gooseberry (Physalis peruviana L.) is the most important export fruit in Colombia, becoming a great production alternative for small, medium and large producers, therefore, it is necessary to select stable materials with good potential for yield and fruit quality, to contribute to the competitiveness of the crop. The objective of this work was to determine the magnitude and nature of the genotype-environment interaction for fruit yield and quality, using nine advanced cape gooseberry materials and four regional controls tested, in seven environments in the departments of Antioquia, Cundinamarca and Nariño. To analyze the data obtained, the method of additive main effects and multiplicative interaction (AMMI) was used. For all the variables evaluated (seven) the combined analysis of variance indicated significant statistical differences in the repetition factors, locality, genotype and IGA, with the exception of POFR, ATT, FIRM, IM, pH and SST; where the repetition factor was not significant. The variables that showed statistical significance in the IGA factor, in the combined analysis, were analyzed for phenotypic stability using the additive main effects and multiplicative interaction method (AMMI). The AMMI analysis was important for the identification of groups of localities with the same response, discriminating localities regarding the genetic potential between materials; furthermore, negatively and positively correlated localities were identified with some materials. For the variables studied, the effects of the locality were more important to explain the total variation observed in the interaction. [ABSTRACT FROM AUTHOR]

Knowledge of the importance of sources of variation (VF) in multi-environment testing (PEA) is of great importance in the final stage of breeding programs. The objective of this research was to evaluate the statistical significance and contribution of VF: environments (E), genotypes (G) and GxE interaction of PEA's in cotton for fiber length (LONG), uniformity (UNIF), resistance (RESIS), elongation (ELON) and finesse (FINE), in the dry (CS) and humid (CH) Colombian Caribbean. The data from four PEA's were used, where 10 different medium fiber genotypes were evaluated, under the randomized complete block design with four replicates. Each PEA was made up of four tests carried out in the 2003/2004 (CS and CH), 2007/2008 (CS) and 2009/2010 (CH) harvests. The results indicate that on average G was the most important source in significance (p<0.05 and p<0.01) for all fiber quality properties and variation (>34%) of the combined variance analyses for LONG, UNIF, RESIS and ELON, with a similar trend in their behavior between them and in the two zones of the Colombian Caribbean. For FINU the A (61.9%) was the source that contributed the most to the variation in CS and G (37.9%) CH. The variation in data due to A did not have a significant effect on fiber quality variables, so it is not suggested to increase assays per PEA. [ABSTRACT FROM AUTHOR]