Assessment of genetic divergence in horsegram [Macrotyloma uniflorum (Lam) Verdc.] using quantitative traits

Priyanka, S.; Sudhagar, R.; Vanniarajan, C.

doi:10.18805/lr-4103

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…The magnitude of PCV varied substantially even among the former four traits. Similar results were reported by Priyanka et al (2021) and Visakh and Bindu (2022) in horse gram.…”

Section: Anovasupporting

confidence: 91%

Organization of Genetic Variability and Trait-specific Accessions in a Diverse Set of Horse Gram [Macrotyloma uniflorum (Lam.) Verdc.] Germplasm

Kirankumar¹,

Ramesh²,

Chandana³

et al. 2023

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Background: Mere presence of phenotype-based quantitative traits (QT’s) variability is of less significance in breeding crops including horse gram. A dependable knowledge on relative contribution of genetic and non-genetic sources on the QT’s variability and organization of variability in terms of similar and diverse groups of genotypes is useful in selection of most desired parents to generate breeding populations and in formulating appropriate selection strategies to breed improved horse gram cultivars. The objectives of the study were to (i) quantify QT’s variability and (ii) identify trait-specific accessions in a diverse set of germplasm accessions. Methods: A set of 196 horse gram germplasm accessions along with two checks were evaluated in simple lattice design with two replications at two locations, representing southern and eastern dry zones of Karnataka, India during 2020 and 2021 late rainy seasons for five quantitative traits. Result: The germplasm accessions differed significantly and variance attributable to genotypes contributed over 95% to total phenotypic variance for all the traits. The germplasm accessions could be grouped into four clusters. The quantitative trait means and variances of accessions distributed among the four clusters differed significantly. The trait-specific accessions identified in our study are suggested for preferential use in generating variability followed by selection in F2/BC1 populations for economically important traits.

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“…The magnitude of PCV varied substantially even among the former four traits. Similar results were reported by Priyanka et al (2021) and Visakh and Bindu (2022) in horse gram.…”

Section: Anovasupporting

confidence: 91%

Organization of Genetic Variability and Trait-specific Accessions in a Diverse Set of Horse Gram [Macrotyloma uniflorum (Lam.) Verdc.] Germplasm

Kirankumar¹,

Ramesh²,

Chandana³

et al. 2023

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“…Priyanka et al (2021a;2021b) reported the success of induced mutagenesis in horse gram. The benefit of Mahalanobis 2 D statistic in estimating variability is well reported (Priyanka et al, 2021c). A negative relationship between yield and quality traits has been reported by Raatz (2018) Hertz: 2 MHz).…”

Section: Introductionmentioning

confidence: 77%

Characterization of horse gram mutants for yield, nutrient, and anti-nutrient factors

Sudhagar¹,

Pushpayazhini²,

Vanniarajan³

et al. 2023

JEB

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Aim: This experiment assessed the potential of induced mutagenesis in evolving variability for yield, nutritional and anti-nutritional, factors in horse gram. Methodology: The mutants were grown in three environments consisting of three sowing times and soil types and the data were pooled. D2 analysis was used to group the mutants. Based on the magnitude of variation and character inter-relationship, single plant yield was fixed as a selection criterion to identify promising mutants from clusters. The tagged high yielding mutants were profiled for macronutrients, micronutrients and anti-nutritional factors. Results: The induced mutagenesis evolved significant variability for yield attributing traits. It evolved the maximum variation for the traits number of pods per plant, number of clusters, plant height and single plant yield (CV= 34.80%; 33.90%; 33.80%, 30.44% and 29.60% respectively). A significant coefficient of variation was observed for nutrients (crude protein: 5.13%; crude fibre: 11.67%, crude fat: 13.44%; boron: 11.50%; magnesium: 11.52; phosphorus: 10.86; potassium: 9.53%; calcium: 18.33%; manganese: 14.25%; iron: 16.36%; copper: 12.20%; zinc: 14.50% and molybdenum: 18.41%) anti-nutritional factors (total phenol:17.24%; tannins: 10.88%; phytic acid: 16.14% and oxalic acid: 15.16%). Potential genetic stocks for yield combined with nutritional supremacy were identified for further utilization. Interpretation: Induced mutagenesis evolved potential mutants for yield and nutrients. Alas, a negative relationship between yield and nutrient contents was established. To improve yield in horse gram and alleviate malnutrition, the genotypes with an average single yield potential of 55-65 g shall be prioritized. Key words: Anti-nutritional factors, Horse gram mutants, Nutrients

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“…Sharma et al(2021) reported high heritability and genetic advance as per cent of mean for traits viz.,the number of primary branches per plant, the number of pods per plant, 100 seed weight and single plant yield in pigeonpea. The most appropriate method to estimate the diversity within any crop species is the D 2 statistics (Bhandari et al, 2017;Priyanka et al, 2021). The 68 pigeonpea genotypes were grouped into seven clusters.…”

Section: Resultsmentioning

confidence: 99%

Genetic analysis and diversity in early duration pigeonpea (Cajanus cajan (L.)MillSp.) genotypes

Ranjani

Jayamani²,

Manonmani³

et al. 2021

EJPB

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Genetic analysis and diversity study was done involving 68 early duration pigeonpea based on 12 quantitative traits. The genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) was high for traits viz., plant height (20.22, 20.77 %) pod bearing length (22.14, 23.44 %), the number of clusters per plant (23.03, 25.06 %), the number of pods per plant (21.21, 23.64 %) and the single plant yield (23.61, 34.89 %). The traits viz., plant height (94.77, 40.54 %), the number of branches per plant (78.20, 31.04 %), pod bearing length (89.18, 43.07 %), the number of clusters per plant (84.49, 43.61 %), the number pods per plant (80.51, 39.20 %) and 100 seed weight ( 94.37, 29.56 %) existed high heritability combined with high genetic advance as a proof for additive gene action and aiding in selection of these traits. The 68 pigeonpea genotypes were grouped into seven clusters based on Mahalanobis D 2 statistic. The cluster II contains the maximum number of genotypes (44 genotypes) followed by cluster V with 10 genotypes. The maximum inter cluster distance (22.18) was observed for clusters VI and VII and the minimum distance (7.76) was between clusters III and IV. The cluster II recorded the maximum average cluster mean for traits viz., plant height (143.02 cm), pod bearing length (83.47 cm), the number of cluster per plant (91) and single plant yield (41.79 g). The lowest average cluster mean for single plant yield (27.42 g) and the yield attributing traits viz., the number of clusters per plant (60), the number of pods per plant (112) was observed for cluster I. The highest per cent contribution to genetic diversity is rendered by days to fifty per cent flowering (21.12 %) and the lowest contribution is observed for pod bearing length (0.83%). The genotypes CO2R (61 days) of cluster VI and ICPL19024 (64 days) of cluster I had reduced days to fifty per cent flowering and can be utilized in the breeding of early maturing pigeonpea genotypes. The genotypes viz., ICPL19002, ICPL19004, ICPL19007, ICPL19009, ICPL19010, ICPL19018 and ICPL19028 were found to be superior for yield and yeld attributing traits.Genotypes identified in the present study, could be used to develop varieties with early maturity and increased yield in pigeonpea.

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Assessment of genetic divergence in horsegram [Macrotyloma uniflorum (Lam) Verdc.] using quantitative traits

Cited by 5 publications

References 8 publications

Organization of Genetic Variability and Trait-specific Accessions in a Diverse Set of Horse Gram [Macrotyloma uniflorum (Lam.) Verdc.] Germplasm

Organization of Genetic Variability and Trait-specific Accessions in a Diverse Set of Horse Gram [Macrotyloma uniflorum (Lam.) Verdc.] Germplasm

Characterization of horse gram mutants for yield, nutrient, and anti-nutrient factors

Genetic analysis and diversity in early duration pigeonpea (Cajanus cajan (L.)MillSp.) genotypes

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