Cluster and Correlation Analysis in Blackgram (Vigna mungo L.) Genotypes under Drought

Mohanla, V.A.; Saravanan, K.; Sabesan, T.

doi:10.29321/maj.2018.000166

Cited by 2 publications

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“…The genotypes SBC 40 and MU 06 were poor yielding with intermediate and no drought tolerance, respectively under stress environment. Similar results also reported by Jeena and Singh, [23] and Mohanlal et al, [24] in black gram.…”

Section: Cluster Analysissupporting

confidence: 91%

Character Interrelationship and Principle Component Analysis of Some Black Gram (Vigna mungo L. Hepper) Genotypes under Moisture Stress Deficit Environment

Bordoloi

Sarma

2022

IJECC

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Two pot experiments were conducted with ten black gram genotypes during winter in the net house of the Department of Plant Breeding and Genetics, Assam Agricultural University, Assam. The present experiment was conducted to assess the character interrelationship and grouping of genotypes based on their performance under water stress. The experiment was conducted in a controlled environment in a complete randomized block design with three replications and two environments (Non-stress & Stress environments). The plant was exposed to drought stress during the first flower bud initiation (i.e., 33 days after sowing). The genotypes were screened on the basis of the results of multivariate analysis viz., pearson correlation, path analysis, modified path analysis, cluster analysis based on usual Euclidean distance and principal component analysis. The Pearson correlation, path analysis and modified path analysis identified the proline content and pod per plant as the critical yield determinants under both the environments. Besides, other significant yield contributing traits for water deficit stress were leaf area, chlorophyll content, pod length and seeds per pod. Usual Euclidean distance-based clustering categorized the genotypes into three groups with substantial variation in cluster composition of both stress and non-stress environment. Based on the relationship of characters and genotypes to the PC 1, it can be concluded that the genotypes AKU 10-6 and SBC 40 can be selected for Number of seeds per pod, Chlorophyll content, number of pods per plant and grain yield per plant characters for breeding purposes in both the environments.

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Section: Cluster Analysissupporting

confidence: 91%

Character Interrelationship and Principle Component Analysis of Some Black Gram (Vigna mungo L. Hepper) Genotypes under Moisture Stress Deficit Environment

Bordoloi

Sarma

2022

IJECC

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“…Whereas, cluster V recorded higher cluster mean for MII, SOR content, HPR and MDA reflecting increase in the membrane damage due to lipid peroxidation leading to MDA accumulation which might be the reason behind lower yield. The order of heat tolerance based on cluster means is cluster I> cluster III> cluster IV> cluster II and cluster V. Similar method of cluster analysis was followed for the identification of terminal heat tolerant genotypes in wheat (Mohanty et al, 2017) and drought tolerant genotypes in blackgram (Mohanlal et al, 2018). The clustering analysis helped in grouping these genotypes into different groups which can be used in genetic enhancement program for further improvement for stress tolerance in black gram.…”

Section: Resultsmentioning

confidence: 99%

Genetic diversity analysis for physiological, reproductive, biochemical and yield traits of blackgram (Vigna mungo L.) genotypes under high temperature stress

2024

EJPB

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In the present study, 30 blackgram genotypes were evaluated for physiological, reproductive, biochemical and yield traits at flowering stage during summer, 2022 and 23. ANOVA showed highly significant genetic variability among the 30 blackgram genotypes for 20 heat tolerance traits studied indicating that significant amount of genetic variability among the genotypes. Higher PCV, GCV and heritability was recorded for seed yield per plant and number of pods per plant during both the years. Moreover, the results of cluster analysis for these heat tolerance traits revealed that the genotypes TBG-129, LBG-1015, PU-1804, TBG-104 and PU-31 were identified as promising genotypes under high temperature stress conditions during both the years. Principal component analysis showed that first three components showed 82.62 % of total variation during summer, 2022, whereas 77.06 % of the total variance was covered by the first two principal components during summer, 2023. The identification of genotypes displaying heat tolerance can be useful in future breeding programmes for the development of heat stress tolerant genotypes.

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Cluster and Correlation Analysis in Blackgram (Vigna mungo L.) Genotypes under Drought

Cited by 2 publications

References 0 publications

Character Interrelationship and Principle Component Analysis of Some Black Gram (Vigna mungo L. Hepper) Genotypes under Moisture Stress Deficit Environment

Character Interrelationship and Principle Component Analysis of Some Black Gram (Vigna mungo L. Hepper) Genotypes under Moisture Stress Deficit Environment

Genetic diversity analysis for physiological, reproductive, biochemical and yield traits of blackgram (Vigna mungo L.) genotypes under high temperature stress

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