Phenotypic stability and GGE biplot analysis in Pigeonpea [Cajanus cajan (L.) Mill sp.] genotypes across the environments

Abstract

Phenotypic stability was carried out by using Eberhart & Russell model, as well as recent GGE biplot approach for identification of the foremost genotypes across the different environments in pigeonpea [ Cajanus cajan (L.) Millsp.] genotypes. Further, Pearson correlation was carried out to correlate the different yield contributing attributes with seed yield. Fifty six pigeonpea genotypes comprising fourteen parents, forty hybrids and two standard checks were evaluated at four environments during kharif season of 2013 and 2014, to study genotype × environment interaction for yield and related traits. A significant difference was obtained for yield and yield contributing characters among genotypes in individual as well as pooled environments except for pod length, 100 seed weight and seed protein content (%). For traits like days to maturity, plant height, pods per plant, pod clusters per plant, seeds per pod, 100 seed weight and seed yield per plant Genotypes × Environments (linear) values were significant when tested against pooled deviation. Some hybrids such as GT 610 A × GT R 84

Identification of pigeonpea genotypes with wider adaptability to rainfed environments through AMMI and GGE biplot analyses

“…Singh et al (2018) identified nine superior and stable pigeonpea genotypes suitable for rainfed agriculture in Manipur, India. In addition to more recent GGE biplot approach, Pagi et al (2017) also used Eberhart and Russell model for evaluating pigeonpea phenotypic stability using three linear kinds of linear responses of regression coefficient (bi), which were interpreted as bi=1, average stability and widely adaptable to different environments; bi>1, below average stability and well adapted to favorable environments and bi<1, above stability and specific adaptability to poor yielding environment. Pigeonpea genotypes G 54 was recommended for recommended for cultivation across different environments in Western India using both Eberhart and Russell model and GGE biplot approach.…”

“…The AMMI and GGE biplot analyses have been used extensively to identify stable cultivars with high yield and yield attributing characters in a wide variety of crops. In the last couple of years, their application was reported in evaluation of genotypes of rice (Dwivedi et al 2020), wheat (Bavandpori et al 2018;Lozada and Carter 2020;Manu et al 2020), maize (Choudhary et al 2019), barley (Kumar et al 2018;Yadav et al 2020), rapeseed (Sara et al 2019), groundnut (Kumar et al 2019;Ajay et al 2020), pigeonpea (Pagi et al 2017;Singh et al 2018;Gaur et al 2020), chickpea (Kanouni 2018), urdbean (Kumar et al 2020a;Kumar et al 2020b), and ashwagandha .…”