Multivariate Analysis among the Nepalese and Exotic Mungbean (Vigna Radiata L. Wilczek) Genotypes Based on the Qualitative Parameters

Basnet, KB; Adhikari, Nav Raj; Pandey, M.P.

doi:10.13189/ujar.2014.020502

Cited by 16 publications

(10 citation statements)

References 8 publications

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“…Each of the other traits was predominated by a single attribute that appeared more than the others. The current ndings are consistent with other scientists who have reported wide variation in mung bean genotypes [25,37,41].…”

Section: Discussionsupporting

confidence: 93%

“…The current ndings strengthen the view that plant growth habit is related to the cropping system as well as ecological adaptation [50]. More importantly, disease tolerance or high yielding traits may be connected to the gene that determines erect and semi-erect growth habit [25].…”

Section: Discussionsupporting

confidence: 68%

“…Thus, the characterisation of trait diversity in mung bean genotypes provides a key step in improvement for traits including disease resistance [23]. Addressing grower's needs through the deployment of resistant cultivars can meet the growing global demand for food [24] and requires an evaluation of all trait diversity in mung bean collections [24,25].…”

Section: Introductionmentioning

confidence: 99%

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Characterization of morpho-agronomic traits and powdery mildew resistance in mung bean (Vigna radiata)

Kitomari,

Venkataramana,

Mkindi

et al. 2024

Preprint

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Background: Exploring genetic variation and screening for disease resistance is an important step in crop breeding initiatives but is lacking for many bean varieties including mung bean. The present study evaluated the diversity of 42 morpho-agronomic traits and screened mung bean genotypes for resistance to powdery mildew disease. A total of 132 mung bean and rice bean (R200) genotypes (as checks) were evaluated in an augmented incomplete block design across two cropping seasons. Pivot tables were used to analyse qualitative data, whereas the variation of 13 quantitative traits was examined using the generalized linear model (PROC GLM), agglomerative hierarchical clustering (AHC), and principal component analysis (PCA). Result: The genotypes displayed a wide variation for the majority of traits evaluated and significant differences were observed among genotypes, block effect, and between seasons. Similarly, the effects due to checks, genotypes, and genotypes and controls were significant. One mung bean (G32) genotype and one rice bean (R200) exhibited resistance to powdery mildew under field conditions. Principal component analysis revealed that the first four PCs explained 59.77% of the total variation among the genotypes studied. In addition, cluster analysis grouped all the genotypes into four major clusters. Conclusion: The trait variation recorded and resistance to powdery mildew disease provide valuable insight for developing breeding strategies especially with respect to reducing losses in mung bean and rice bean to powdery mildew.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

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Characterization of morpho-agronomic traits and powdery mildew resistance in mung bean (Vigna radiata)

Kitomari,

Venkataramana,

Mkindi

et al. 2024

Preprint

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“…In PCA, ten components had a significant effect on total diversity, while cluster analysis helped in the selection of better genotypes for further use in the breeding effort. Based on morphological traits, 166 accessions from five countries were grouped into seven clusters with a similarity value of 0.409, with cluster II having the most genotypes (34) and cluster VII having the fewest (14). Depending on Mahalanobis D 2 statistics, cluster II had the largest intra-cluster distance.…”

Section: Discussionmentioning

confidence: 99%

“…The main aspect of the mungbean improvement effort is the lack of genetic variability and diversity in the primary gene pool, which may provide a wonderful chance for plant breeders to develop new and better cultivars with desirable traits [ 12 ]. Phenotypic diversity evaluation, through characterizing morphological and agronomical traits, plays a crucial role in the selection of appropriate parents for genetic improvement and future breeding programs [ 13 , 14 ]. In crop improvement programs, the selection of superior genotypes entirely depends on the variability of genotypes [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

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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Mungbean x ricebean and mungbean x urdbean interspecific lines are nutritionally comparable to mungbean cultivars

Jain

Sharma

2021

Journal of Food Composition and Analysis

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Multivariate Analysis among the Nepalese and Exotic Mungbean (Vigna Radiata L. Wilczek) Genotypes Based on the Qualitative Parameters

Cited by 16 publications

References 8 publications

Characterization of morpho-agronomic traits and powdery mildew resistance in mung bean (Vigna radiata)

Characterization of morpho-agronomic traits and powdery mildew resistance in mung bean (Vigna radiata)

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

Mungbean x ricebean and mungbean x urdbean interspecific lines are nutritionally comparable to mungbean cultivars

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