摘要

Trece genotipos de Bromus catharticus se evaluaron, durante 3 a os, utilizando un dise o experimental completamente aleatorizado con seis repeticiones. Por planta individual se analizaron el n迆mero de panojas, el n迆mero de semillas y el peso de 1000 semillas. La interacci車n genotipo x ambiente fue estad赤sticamente significativa e indica un comportamiento diferencial de los genotipos evaluados a trav谷s de los a os. Una vez comprobada la interacci車n, se aplicaron tres metodolog赤as para evaluar la estabilidad y adaptabilidad de los genotipos: la ecovalencia de Wricke, el 赤ndice de Lin %26 Binns y el modelo de Eberhart %26 Russell. Estas dos 迆ltimas metodolog赤as coinciden en identificar como estables y adaptables a los mismos genotipos para los caracteres estudiados, mientras que la coincidencia con Wricke fue parcial. Considerando las tres metodolog赤as usadas, la de Lin %26 Binns es f芍cil de aplicar e interpretar, ya que siempre asocia mayor productividad con mayor estabilidad, y no presenta las restricciones de uso de la regresi車n. Sin embargo, es necesario acumular m芍s resultados antes de proceder a la generalizaci車n de su uso. Thirteen genotypes of Bromus catharticus were evaluated over a three year period, using a completely randomized experimental design with six replications. Individual plants were analyzed for the number of panicles, number of seeds and weight of 1000 seeds. The genotype x environment interaction was statistically significant and it indicates a different performance of genotypes throughout the years. After verifying the interaction, three methodologies were applied in order to assess the stability and adaptability of the genotypes. These were: the Wricke%26apos;s ecovalence, the Lin %26 Binns index and the model by Eberhart %26 Russell. These last two methods agree in identifyinthe same genotypes for the traits studied as stable and adaptable, while the coincidence with Wricke%26apos;s method was partial. Considering the three methodologies used, the index of Lin %26 Binns is easy to apply and to interpret because it is always related to higher yield, greater stability, and it does not present any of the restrictions of using regressions. However, it is necessary to gather more information before this method can be widely used.

全文