Identifying superior spring wheat genotypes through diallel approaches

Abstract

Diallel crosses enable plant breeders taking decisions concerning the parental choice for developing new varieties. Recently, a large number of methodological models have been reported. The objective of this study was to investigate the relationship between different methods of diallel analysis and their associations with grain yield performance in wheat (Triticum aestivum L.) segregating populations. In this study, four methods of diallel analysis were used to estimate the general (GCA) and specific (SCA) combining abilities: (a) Griffing, (b) Multivariate analyses of diallel crosses, (c) Restricted Maximum Likelihood / Best Linear Unbiased Prediction (REML/BLUP) and d) Genotypes and Genotypes x Environments biplot (GGE biplot). Six wheat cultivars were hybridized in a partial diallel scheme and later evaluated in the along with 15 F 2 segregating populations. Griffing and REML/BLUP analysis produced equivalent results for GCA and SCA and are meaningful for identifying superior inbred lines. Multivariate diallel analysis suggested the best crosses for simultaneous improvement of traits. GGE biplot method is an effective method for visual comparisons of GCA and SCA effects. Conventional and innovative methods of diallel analysis are useful, complementary and should be applied in the selection of parents and superior crosses.

Assessment of Genetic Parameters and Gene Action Associated with Heterosis for Enhancing Yield Characters in Novel Hybrid Rice Parental Lines

“…This indicates that the identified characters within these components show major impacts on phenotypic genotypes. These results were consistent with previous data reported by [39,40]. Principal component analysis showed that PC1 and PC2 were governed by yield related traits, viz., PL, FLAn, CHLC, DH, PH, PW, PE, and 1000-GW.…”

Choosing parent tropical wheat genotypes through genetic dissimilarity based on REML/BLUP

“…The best linear unbiased predictor (BLUP) method, which uses components of variances estimated via restricted maximum likelihood (REML), has allowed breeders to more efficiently and accurately select and predict genetic values as it generates robust estimates. The efficiency of using mixed models in wheat breeding programs has been evaluated by Pimentel et al (2014) and Pagliosa et al (2017). Genetic diversity studies are important in wheat breeding programs because the selection of more divergent parents for crossing results in greater variability in the segregating population and, consequently, the greater is the probability of the alleles regrouping in favorable combinations.…”

Combining ability and potential of s1 popcorn progenies for early selection

“…According to Pagliosa (2017), the application restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) is a prominent method in parental selection. Although widespread in animal breeding and perennial species, the restricted maximum likelihood (REML) and best invariant linear predictor methods (BLUP), proposed by Patterson and Thompson (1971), are still rarely used in the improvement of annual plants and for the potential for genetic progress.…”