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Genotype selection and stability analysis for seed yield of Nigella sativa using parametric and non-parametric statistics

Shahbazi, E.
Scientia horticulturae 2019 v.253 pp. 172-179
Nigella sativa, breeding programs, cultivars, genotype, planting, seed yield, silicon, statistics, water stress
In order to study yield performance and the stability of 20 black cumin genotypes, a randomized complete-block design was used together with parametric and non-parametric procedures for stability analysis with three replications in eight test environments (combination of year, data of planting, and moisture conditions) during 2016–2017. The result of the comparison of means showed that delay in cultivation and drought stress caused a significant drop in the seed yield of Nigella sativa. Results of the biplot analysis based on rank correlation showed that stability measures can be classified into 3 groups. Group1 included non-parametric measures (Si(1), Si(2), Si(3), Si(6), NPi(2), NPi(3) and NPi(4)), that were negatively correlated with mean yield, hence not recommended for cultivar selection. Group2 included parametric indices (bi, S2i, ASV, S2di, W2i, RS) and non-parametric NPi(1) affected by both seed yield and stability. According to these indices, genotypes G9, G8, and G10 can be used to improve stability. Group3 which includes Pi and GAI, is closely associated with the seed yield. Selection based on this group can be used for seed yield. Genotypes G15, G17, G2 and G9 can be used in breeding programs to improve seed yield.