Multivariate analysis in green gram [&lt;italic&gt;Vigna radiata&lt;/italic&gt; (L.) Wilczek]

Mehandi, Suhel; Singh, Iqbaljit; Singh, C. M.

doi:10.18805/lr.v38i6.6720

Cited by 5 publications

(4 citation statements)

References 4 publications

(2 reference statements)

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“…Therefore, these clusters may be considered superior for choosing genotypes with desired features. Similar results were reported by Mehandi et al [ 67 ] and Sarkar and Kundagrami [ 28 ].…”

Section: Discussionsupporting

confidence: 91%

Genetic Analyses of Mungbean [Vigna radiata (L.) Wilczek] Breeding Traits for Selecting Superior Genotype(s) Using Multivariate and Multi-Traits Indexing Approaches

Azam

Hossain

Sarker

et al. 2023

Plants

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Mungbean [Vigna radiata (L.) Wilczek] is an important food, feed, and cash crop in rice-based agricultural ecosystems in Southeast Asia and other continents. It has the potential to enhance livelihoods due to its palatability, nutritional content, and digestibility. We evaluated 166 diverse mungbean genotypes in two seasons using multivariate and multi-traits index approaches to identify superior genotypes. The total Shannon diversity index (SDI) for qualitative traits ranged from moderate for terminal leaflet shape (0.592) to high for seed colour (1.279). The analysis of variances (ANOVA) indicated a highly significant difference across the genotypes for most of the studied traits. Descriptive analyses showed high diversity among genotypes for all morphological traits. Six components with eigen values larger than one contributed 76.50% of the variability in the principal component analysis (PCA). The first three PCs accounted for the maximum 29.90%, 15.70%, and 11.20% of the total variances, respectively. Yield per plant, pod weight, hundred seed weight, pod length, days to maturity, pods per plant, harvest index, biological yield per plant, and pod per cluster contributed more to PC1 and PC2 and showed a positive association and positive direct effect on seed yield. The genotypes were grouped into seven clusters with the maximum in cluster II (34) and the minimum in cluster VII (10) along with a range of intra-cluster and inter-cluster distances of 5.15 (cluster II) to 3.60 (cluster VII) and 9.53 (between clusters II and VI) to 4.88 (clusters I and VII), suggesting extreme divergence and the possibility for use in hybridization and selection. Cluster III showed the highest yield and yield-related traits. Yield per plant positively and significantly correlated with pod traits and hundred seed weight. Depending on the multi-trait stability index (MTSI), clusters I, III, and VII might be utilized as parents in the hybridization program to generate high-yielding, disease-resistant, and small-seeded mungbean. Based on all multivariate-approaches, G45, G5, G22, G55, G143, G144, G87, G138, G110, G133, and G120 may be considered as the best parents for further breeding programs.

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“…Therefore, these clusters may be considered superior for choosing genotypes with desired features. Similar results were reported by Mehandi et al [ 67 ] and Sarkar and Kundagrami [ 28 ].…”

Section: Discussionsupporting

confidence: 91%

Genetic Analyses of Mungbean [Vigna radiata (L.) Wilczek] Breeding Traits for Selecting Superior Genotype(s) Using Multivariate and Multi-Traits Indexing Approaches

Azam

Hossain

Sarker

et al. 2023

Plants

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“…Breeders always promote to use crops with shorter reproductive phase, which permit the production of a number of generations in a single year as well as help in crop rotation generally wheat rice cropping system. In this cropping system summer mung benefited as one extra crop in a year as well as also get better the soil health [4]. Plant breeding combined with genome studies increases the quality of breeding practices and saves time [5].…”

Section: Introductionmentioning

confidence: 99%

Breeding of Major Legume Crops through Conventional and Molecular Techniques

Prakash¹,

Mehandi²,

Janeja³

2023

Case Studies of Breeding Strategies in Major Plant Species

Self Cite

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Legume crops are universally applicable for human and animal food and sustenance because of their relatively high protein and essential amino acid content. Furthermore, they have been linked to sustainable agriculture, noting their ability to bind to atmospheric nitrogen-fixing bacteria. Despite this, several technical limitations of leguminous crops keep their world production far behind that of cereals. This chapter of the book focuses on current developments in breeding and biotechnology of major legume crops. Conventional breeding has primarily set out to recover a number of vegetative and reproductive traits that are associated with different heritability values, which reflect how susceptible each character is to genetic improvement. In conclusion, legume breeding programs using classical breeding methods and biotechnological tools face a promising boost for further application of knowledge and information that may boost their overall production. In plant breeding, the development of improved crop varieties is limited by very long periods of cultivation. Therefore, to increase crop breeding efficiency, they are using new strategies such as high-throughput phenotyping and molecular breeding tools. In this chapter, recent findings on various aspects of crop improvement, plant breeding practices, to explain the development of conventional and molecular techniques.

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“…Today, India identified as the largest producer and consumer of greengram in the world. Since, it is a highly self pollinated crop, variation existing within or between the species or varieties becomes important (Bisht et al, 2005and Mahalingam et al, 2018, Anamika et al, 2017and Suhel Mehandi, 2015. The utilization of diverse cultivars helps to tap significant amount of genetic variability for the trait based yield improvement in greengram (Sandhiya and Saravanan, 2018).…”

Section: Introductionmentioning

confidence: 99%

An appraisal of genetic divergence in some indigenous collections of mungbean (Vigna radiata (L.) Wileczek)

2020

EJPB

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The present investigation was undertaken to retrieve information on the nature and extent of genetic diversity among 110 mungbean genotypes for yield related traits by using Mahalanobis's D 2 statistics. One hundred and ten genotypes could be grouped under 15 clusters, cluster XV showed maximum intra-cluster distance while the highest inter-cluster distance was observed between cluster VI and XIII. Seed yield exhibited a maximum contribution to genetic divergence (72.02 per cent) followed by days to 50 per cent flowering (15.33 per cent) and plant height (4.24 per cent) while the other traits viz., the number of clusters per plant, the number of pods per cluster, pod length and seeds per pod exhibited insignificant values for contribution to genetic divergence. The maximum and minimum cluster value for seed yield ranged from 5.83 to 19.13. The greater the distance between two clusters, the wider the genetic diversity between the varieties. Keeping this in view, it is indicated that hybridization between the varieties (SML 171/1, AGG 11-013,

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Multivariate analysis in green gram [<italic>Vigna radiata</italic> (L.) Wilczek]

Cited by 5 publications

References 4 publications

Genetic Analyses of Mungbean [Vigna radiata (L.) Wilczek] Breeding Traits for Selecting Superior Genotype(s) Using Multivariate and Multi-Traits Indexing Approaches

Genetic Analyses of Mungbean [Vigna radiata (L.) Wilczek] Breeding Traits for Selecting Superior Genotype(s) Using Multivariate and Multi-Traits Indexing Approaches

Breeding of Major Legume Crops through Conventional and Molecular Techniques

An appraisal of genetic divergence in some indigenous collections of mungbean (Vigna radiata (L.) Wileczek)

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