Analysis of Genotype‐Environment Interactions of Potato Yield¹

Abstract

Three methods were used to study genotype‐environment (GE) interactions of potato (Solanum tuberosum L.) yield. They were chosen to represent single (stability variance σ1 of Shukla, 1972), two (genotypic stability parameters α, λ of Tai, 1971), and three (genotypic components v1, v2 and v3 of Tai, 1975) parameters of measurement of genotypic contributions to the GE interactions. Data of marketable yield (W) and three yield components: number of stems/plot (X), number of tubers/stem (Y), and mean tuber weight (Z) of 30 genotypes were collected from nine trials in New Brunswick. Significant differences were found for σ2, α, and λ among the genotypes. The estimates of σ2 were highly correlated to those of λ. Both parameters showed a curvilinear relationship with v1 and v2 suggesting low σ2 and λ values were due to moderate genotypic responses to the environmental components (r1 and r2) supporting X and Y. The linear response parameter α showed close association with v3 which measured the genotypic response to the environmental component (r3) supporting Z. The estimates of v3 showed a moderately positive correlation with the mean marketable yield (W) and were larger than those of v1 and v2 for most genotypes. The estimates of r3 were larger and more variable than those of r1 and r2 over the environments. It is thus concluded that difficulty would be encountered locating high yielding genotypes without sensitive responses to the variation of r3.

Genotype by environment interaction on yield stability of desi type chickpea (Cicer arietinum L.) at major chickpea producing areas of Ethiopia

“…Subdivision or stratification of heterogeneous area into smaller, more homogeneous sub-regions, with breeding programs aimed at developing genotypes for specific sub-regions. However, even with this refinement, the level of interaction can remain high, because breeding area does not reduce the interaction of genotypes with location on years (Eberhart and Rusell, 1966;Tai, 1979). 2.…”

Genotype-environment interaction and stability analysis for seed yield in vetch (Vicia sativa L., Vicia villosa Roth.)

“…Pods per plant: The values of parameters of phenotypic stability according to the regression analysis of Eberhart and Russell (1966), Tai (1979) and Theil (1950) define as most valuable cultivar Viola (bi = 1.18), followed by Liya (bi = 1.27). Liya and Violeta (bi = 2.83) are more responsive under favorable conditions of the year.…”

“…Peterson (1959) and Wricle (1965) the genotypes Lorina and Vilena showed the highest stability because their values were the lowest. In regard of this trait and the parameters of Eberhart and Russell (1966), Tai (1979) and Theil (1950) cultivar Vilena was highly evaluated. 1000 seed weight: Vilena (bi = 0.88) and Moldovskaya (bi = 1.21) are marked out as valuable for the selection on this trait.…”

“…The obtained data were processed by two-factor analysis of variance for each trait for determine of effects of genotypes (G), (E) environments and genotype environment interaction (G × E). The estimation of the ecological stability of the tested cultivars was done through the application of following methods: Regression analysis -according to Eberhart and Russell (1966), in which the regression coefficient (bi) and the variance of the deviations from regression (Si 2 ) were calculated; Tai (1979), (ai; λi); Theil (1950), (T); analysis of variance -mean variance component (PP) according to Plasteid and Peterson (1959); ecovalence (W 2 ), Wricke (1965). Plaisted and Peterson's (1959) mean variance component (PP) was a measure of a variety's contribution to the GE interaction and was computed from a total of pair-wise analysis.…”

Seed Yield as Affected by the Ecological Stability of the Field Pea (Pisum Sativum) Cultivars

“…The estimation of ecological stability of tested cultivars was done by regression analysis according to Eberhart & Russell (1966) and Tai (1979) …”