Phenotypic Diversity Analysis of Lens culinaris Medik. Accessions for Selection of Superior Genotypes

Rajat Sharma, Lakshmi Chaudhary, Mukesh Kumar, Rajesh Yadav, Uma Devi, Amit and Vinay Kumar
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Rajat Sharma: Department of Genetics & Plant Breeding, CCS Haryana Agricultural University, Hisar 125004, India
Lakshmi Chaudhary: Department of Genetics & Plant Breeding, CCS Haryana Agricultural University, Hisar 125004, India
Mukesh Kumar: Department of Genetics & Plant Breeding, CCS Haryana Agricultural University, Hisar 125004, India
Rajesh Yadav: Department of Genetics & Plant Breeding, CCS Haryana Agricultural University, Hisar 125004, India
Uma Devi: Department of Genetics & Plant Breeding, CCS Haryana Agricultural University, Hisar 125004, India
Amit: Department of Genetics & Plant Breeding, CCS Haryana Agricultural University, Hisar 125004, India

Sustainability, 2022, vol. 14, issue 10, 1-19

Abstract: Knowledge of genetic diversity in lentil is imperative for selection of parental genotypes that could yield heterotic combinations. The aim of the present study was to investigate the genetic diversity among 43 diverse lentil genotypes to identify complementary and unique genotypes for breeding programmes. Field experimentation was carried out in two winter seasons (2019–2020 and 2020–2021) in Hisar (29°10′ N, 75°46′ E) using randomized block design (RBD) with three replications. The chi-square test analysis showed significant genotypic variation for qualitative traits. There was substantial genetic variation among the genotypes for most quantitative traits, connoting the need to exploit a high degree of genetic variation through selection. Multiple-trait selection would also be beneficial, as seed yield was positively associated with most quantitative traits. The principal component analysis recognized seed yield (SY), days to 50% flowering (DTF), days to maturity (DTM), number of pods per plant (NPP), number of primary branches (NPB), plant height (PH) and biological yield (BY) as target traits that prominently described variation within lentil genotypes. The cluster analysis discriminated the lentil genotypes into five discrete clusters. Cluster III and V were the most distant groups, implying wider diversity among the genotypes of these groups. Furthermore, cluster analysis identified genotypes IPL 316, LH 17-19, LH 18-04, LH 17-17, IPL 81 and Pant L-8 as high-yielding genotypes, while L 4717 was identified as an early-maturing genotype. Therefore, to obtain a broad spectrum of early-maturing high-yielding segregants, the selected genotypes may serve as superior parental lines for structuring breeding strategies.

Keywords: agronomic performance; cluster analysis; high temperature; lentil; morphological traits; principal component analysis; seed yield; trait relationship (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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