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Cowpea exhibits significantly inconsistent performances across different environments, and hence demands performance evaluation of genotypes prior release or cultivation in every breeding program. Hence, the goal of this study was to compare 16 cowpea genotypes over six planting seasons (2014)(2015)(2016)(2017)(2018)(2019) in Akungba-Akoko, Nigeria for their stability and adaptation through Finlay and Wilkinson (FW), Additive Main Effects and Multiplicative Interaction (AMMI) and Genotype and Genotype × Environment (GGE) analyses. ANOVA revealed high significant genotype (15.33%), environment (14.71%) and GEI (64.34%) effects for seed yield among genotypes. All analyses were able to pinpoint stable high-yielding genotypes including G14 and G9. Genotypes G14, G3, G4, G5, G6 and G9 were high yielding and stable according to FW; AMMI showed G10, G9, G16, G14 and G13 stable high-yielding while GGE showed G14, G16, G9 and G13 as stable high-yielding. As analyses explored the variation in the data due to GEI, they also complemented one another, in that where one erroneously included a wrong genotype as stable; the other excluded such genotype, making recommendation possible on the basis of consistency to gain reliability.

Six tomato hybrids developed through diallel mating design and the three parents were obtained from the plant breeding section of Adekunle Ajasin University Akungba-Akoko and used to assess the genetic variability among them. The breeding materials were raised in the nursery for three weeks before transplanting. The hybrids and parents were laid out in a randomized complete block design (RCBD) replicated three times Seedlings were transplanted at a spacing of 60 x 30 cm between and within row. Variability estimates were highly significant (p< 5%) in all the 10 measured quantitative traits. The average fruit mean yield of 21.42 g was recorded for all the materials evaluated. Phenotypic variances were higher in magnitude than its corresponding genotypic variances apart from pericarp thickness which had the same value of 0.002 and 100% heritability. Factor scores and communality of the 10 traits of tomato obtained from the factor analysis showed that the first factor were positively loaded with eigen vectors for number of branches (0.818), number of fruits per cluster (0.803), plant height (0.776), fruit yield (0.748) and number of clusters per plant (0.731). The second factor was positively loaded with pericarp thickness (0.723) and number of clusters per plant (0.460). Factor three was only positively loaded with fruit weight (0.881). The communality ranged from 0.618 for fruit yield to 0.930 for fruit weight. Conclusively, traits such as fruit yield, pericarp thickness, fruit weight, number of locules per fruit, days to flowering and days to first fruit set are important traits that should be considered in further breeding programme in tomato.

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