“…The high variability in agronomic traits among accessions of different origin groups indicates that horsegram landraces are adapted to specific zone. The altitude-based diversity was also reported by Manyasa et al (2008) in pigeon pea and Rojas et al (2000) in chenopodium. Fig.…”
A total of 54 horsegram landraces collected from three altitudinal zones (lower hills, mid hills and higher hills) of Himalayan region were characterized and evaluated for nine quantitative characters. Accessions collected from lower and higher hills were more diverse and differed significantly from mid hills accessions for characters viz., days to flowering, days to physiological maturity, plant height and grain yield per plant. The plotting of first and second principal component axes scores revealed that there was dispersion among the accessions collected from different altitudinal groups. It reveals a less variability among the landraces collected from same altitudinal group but high variability among the landraces collected from different altitudes. This suggests that the horsegram landraces are adapted to specific zone due to different selection pressure practiced by the farmers at different altitudes. Farmers in lower and higher hills select the landraces having high grain yield coupled with less reproductive phase duration and taller in nature.
“…The high variability in agronomic traits among accessions of different origin groups indicates that horsegram landraces are adapted to specific zone. The altitude-based diversity was also reported by Manyasa et al (2008) in pigeon pea and Rojas et al (2000) in chenopodium. Fig.…”
A total of 54 horsegram landraces collected from three altitudinal zones (lower hills, mid hills and higher hills) of Himalayan region were characterized and evaluated for nine quantitative characters. Accessions collected from lower and higher hills were more diverse and differed significantly from mid hills accessions for characters viz., days to flowering, days to physiological maturity, plant height and grain yield per plant. The plotting of first and second principal component axes scores revealed that there was dispersion among the accessions collected from different altitudinal groups. It reveals a less variability among the landraces collected from same altitudinal group but high variability among the landraces collected from different altitudes. This suggests that the horsegram landraces are adapted to specific zone due to different selection pressure practiced by the farmers at different altitudes. Farmers in lower and higher hills select the landraces having high grain yield coupled with less reproductive phase duration and taller in nature.
“…Therefore, the beneficial crosses can involve cluster III and II: cluster III and IV for development of promising genotypes with high yield and reduced days to maturity. The results were on par with the research findings of Manyasa et al (2009), Satapathy and Panigrahi (2014). Contribution of each quantitative trait to the total divergence was estimated by ranking of the individual character.…”
Background: Pigeonpea is an important legume crop in India. The super early genotypes which matures within 100 days have been developed at ICRISAT. They are photo-insensitive, aids in crop intensification and escapes abiotic and biotic stresses. The super early genotypes were exploited for genetic diversity for further improvement of the genotypes. Methods: The study was conducted at International Crop Research Institute for the Semi-Arid Tropics, Patancheru, Telangana during kharif, 2017. The thirty-super early pigeonpea genotypes developed at ICRISAT were subjected for the study of genetic diversity (Mahalanobis D2 method) based on twelve quantitative characters. Result: The 30 super early genotypes were grouped into five clusters. The largest number of genotypes were confined to cluster III (19 genotypes) followed by cluster IV (6 genotypes), cluster I and II (2 genotypes). Cluster V is a solitary cluster with the check MN1.The inter cluster distance was high between the clusters III and IV followed by cluster I and III. The intra cluster distance was highest for the cluster III indicating the presence of variation among the genotypes within the cluster. The highest mean for single plant yield was observed for the cluster III followed by cluster V. The clusters with more inter cluster distance can be used to select parents to be involved in hybridization programmes.
“…The results are in contrast with the results of Kinhoégbè et al [38] where the authors reported genotypes with semi-spreading growth habit, lanceolate leaflet shape, light yellow base flower colour, and plain seed colour pattern. Similar results have already been reported in the morphological variability of Tanzanian pigeon pea germplasm [39] and world-wide collection [40]. Shannon weaver indices also confirmed the presence of genetic diversity based on qualitative traits.…”
Pigeon pea is one of the most important leguminous crop globally. However it is a neglected pulse crops in South Africa in terms of research and production. Most farmers grow local landraces with low yields and there is lack of diverse material. The objective of the study was to determine the presence of genetic diversity among the pigeon pea genotypes using quantitative and qualitative phenotypic traits. The trials were conducted in Mafikeng and Nelspruit in South Africa. The trials were laid out in randomised complete block designs replicated three times. The quantitative and qualitative phenotypic data were recorded according to pigeon pea descriptor list. The phenotypic data were analysed using analysis of variance, Pearson’s correlations, principal component analysis, and biplots constructed using principal coordinate analysis, Shannon weaver diversity indices and frequencies. The results showed highly significant differences among the genotypes based on plant height, pod bearing and seed number per pod meaning there was vast genetic diversity among the genotypes. Seed yield was positively correlated with seed number per pod, seed number per plant and pod weight whereas pod bearing was negatively associated with hundred seed weight meaning improving seed yield will automatically improve other positively correlated traits. Principal component analysis showed five most important PCs contributing to a total variation of 84.7%. The traits that contributed to the most variation to the total variation observed were plant height, pod length, seed yield, pod bearing and days to flowering. The Shannon weaver indices ranged between 0.98 and 1.00 showing the presence of variation among the qualitative traits measured. The clustering grouped genotypes into three clusters with Tumia and ICEAP 00540 being the most diverse. The diverse genotypes can be used as parents for hybridization and development of transgressive segregants in breeding programmes. There was vast presence of genetic diversity among the pigeon pea genotypes evaluated.
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