Genetic analysis for yield and quality related traits in moth bean [Vigna aconitifolia (Jacq.) Marechal]

Chaudhary, NB; Patel, AM; Chaudhari, RH; Viradiya, Yagnesh A; Patel, H. N.

doi:10.22271/chemi.2021.v9.i1ak.11629

Cited by 5 publications

(4 citation statements)

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“…Few studies have been conducted to explore the existing variability in the gene pool. However, a good amount of phenotypic variability in moth bean was reported by Chaudhary et al (2021) in an evaluation of 40 genotypes on 10 morphological traits. In another study, accessions IC 36607, IC 39675, IC 251908, IC 36563, and IC 36245 exhibited higher seed yield as compared to checks ( Vir and Singh, 2015 ).…”

Section: Utilization Of Grain Legume Germplasm For Crop Improvementmentioning

confidence: 98%

Mining legume germplasm for genetic gains: An Indian perspective

et al. 2023

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Legumes play a significant role in food and nutritional security and contribute to environmental sustainability. Although legumes are highly beneficial crops, it has not yet been possible to enhance their yield and production to a satisfactory level. Amid a rising population and low yield levels, per capita average legume consumption in India has fallen by 71% over the last 50 years, and this has led to protein-related malnutrition in a large segment of the Indian population, especially women and children. Several factors have hindered attempts to achieve yield enhancement in grain legumes, including biotic and abiotic pressures, a lack of good ideotypes, less amenability to mechanization, poorer responsiveness to fertilizer input, and a poor genetic base. Therefore, there is a need to mine the approximately 0.4 million ex situ collections of legumes that are being conserved in gene banks globally for identification of ideal donors for various traits. The Indian National Gene Bank conserves over 63,000 accessions of legumes belonging to 61 species. Recent initiatives have been undertaken in consortia mode with the aim of unlocking the genetic potential of ex situ collections and conducting large-scale germplasm characterization and evaluation analyses. We assume that large-scale phenotyping integrated with omics-based science will aid the identification of target traits and their use to enhance genetic gains. Additionally, in cases where the genetic base of major legumes is narrow, wild relatives have been evaluated, and these are being exploited through pre-breeding. Thus far, >200 accessions of various legumes have been registered as unique donors for various traits of interest.

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Section: Utilization Of Grain Legume Germplasm For Crop Improvementmentioning

confidence: 98%

Mining legume germplasm for genetic gains: An Indian perspective

et al. 2023

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“…Owing to the difficulty in handling the tiny flowers that drop off during crossing, hybridization programmes were unsuccessful in minor legumes like moth bean resulting in lack in genetic studies. However, studies on germplasm evaluation resulted in the identification of promising genotypes in addition to providing information on diversity, heritability, and other genetic parameters as well as the correlation between traits and environmental influences that could be useful in expediting genetic gains ( Vir and Singh, 2015 ; Kohakade et al., 2017 ; Sahoo et al., 2019 ; Pal et al., 2020 ; Chaudhary et al., 2021 ). A few promising accessions identified through germplasm evaluation, are IC36245, IC36555, IC36667, IC36577 and IC36604 ( Vir and Singh, 2015 ).…”

Section: Crop Improvementmentioning

confidence: 99%

Moth bean (Vigna aconitifolia): a minor legume with major potential to address global agricultural challenges

et al. 2023

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Moth bean (Vigna aconitifolia) is an orphan legume of Vigna genus, exhibiting wide adaptability and has the potential to grow well in arid and semi-arid areas, predominantly across different eco-geographical regions of Asia, particularly the Indian subcontinent. The inherent adaptive attributes of this crop have made it more tolerant towards a diverse array of abiotic and biotic stresses that commonly restrain yield among other Vigna species. Additionally, the legume is recognized for its superior nutritional quality owing to its high protein content as well as amino acid, mineral and vitamin profile and is utilized as both food and fodder. Moth bean can play a vital role in sustaining food grain production, enhancing nutritional security as well as provide a source of income to resource-poor farmers amid rise in global temperatures and frequent drought occurrences, particularly in rain-fed cropping systems which accounts for about 80% of the world’s cultivated land. However, this minor legume has remained underutilized due to over-exploitation of major staple crops. With the exception of a few studies involving conventional breeding techniques, crop improvement in moth bean for traits such as late maturity, indeterminate growth habit, shattering and anti-nutritional factors has not garnered a lot of attention. Recent advances in sequencing technologies, modern breeding approaches and precision phenotyping tools, in combination with the available crop gene pool diversity in gene banks, can accelerate crop improvement in moth bean and lead to the development of improved cultivars. Considering the recent surge in awareness about the development of climate-smart crops for sustainable agricultural future, collective effort towards effective utilization of this hardy, neglected legume is the need of the hour.

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“…In moth bean, the commercially predominant elite cultivars have been identified and released on the basis of below threshold level of phenotypic variability, using different morpho-agronomic characters (Chaudhari et al, 2021). Nonetheless, the paramount genetic drift and unsustainability towards tolerance hugely demands the replacement in varieties, which could further be achieved by tailoring the breeding methods including creation of genetic variability and identify it.…”

Section: Introductionmentioning

confidence: 99%

“…Among the several molecular markers, owing to its user-friendly nature and fastest detection technique, embarks RAPD as a successful technique for depiction of intra species genetic diversity in several grain legumes (Abbas et al, 2008). Though there are few reports of morpho-agronomic characterization in moth bean using different genotypes are available (Chaudhari et al, 2021;Kohakade et al, 2017;Vir and Singh, 2015), but meagre research efforts have been done formolecular characterization of elite cultivars in moth bean crop as there is no report available on the correlation between the molecular and morpho-agronomic matrices generated on the same elite cultivars. This correlation depicts the synergy between the genotypic and phenotypic diversity, pointing out the significance of environmental effects in the phenotypic variability.…”

Section: Introductionmentioning

confidence: 99%

Genetic Relatedness in Elite Cultivars of Moth Bean using Morpho-agronomic and Molecular Markers

Choudhary,

Sharma,

Solanki

et al. 2024

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Background: Moth bean is a very nutritive and hardy crop, especially for resource poor-arid agriculture. The limited use of cultivars in moth bean breeding resulted into narrow genetic base. This study aimed to diversify the conical genetic base and developimproved cultivars, through molecular (RAPD) and morpho-agronomic characterization of commercially elite moth bean cultivars. Methods: Elite moth bean cultivars (15) were evaluated for 11 morpho-agronomic traits. Eleven RAPD markers were used to amplify genomic DNA and perform molecular characterization.Clustering approach was used for grouping of the cultivars. Result: RAPD markers revealed high polymorphism in 15 elite moth bean cultivars. The polymorphism information content (PIC) values varied within the range of 0.45 to 0.88, with an average of 0.77. The number of alleles at different loci ranged from 4 to 16, with an average of 10 alleles per locus. When employing UPGMA-based cluster analysis, utilizing 11 morpho-agronomic traits, the cultivars were grouped into four clusters. However, when RAPD markers were used, the cultivars were grouped into five clusters. The Jaccard’s similarity coefficient and Manhattan dissimilarity coefficient fell within the ranges of 0.18 to 0.70 and 0.02 to 0.42, respectively. These values signify the degree of genetic variability within the cultivars. Furthermore, a Mantel test was conducted to examine the correlation between agronomic traits and the RAPD-based matrix. The results showed a negative correlation, but it was not statistically significant.The high PIC values and the successful amplification of multiple loci demonstrate the efficacy of RAPD markers in assessing genetic diversity in moth beans. The study revealed enormous genetic variation among cultivars and crosses can be attempted between cultivars of different groups to create better recombinants in moth bean breeding programmes.

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Genetic analysis for yield and quality related traits in moth bean [Vigna aconitifolia (Jacq.) Marechal]

Cited by 5 publications

References 0 publications

Mining legume germplasm for genetic gains: An Indian perspective

Mining legume germplasm for genetic gains: An Indian perspective

Moth bean (Vigna aconitifolia): a minor legume with major potential to address global agricultural challenges

Genetic Relatedness in Elite Cultivars of Moth Bean using Morpho-agronomic and Molecular Markers

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