Development of Core Sets of Dolichos Bean (<i>Lablab purpureus</i>L. Sweet) Germplasm

Vaijayanthi, P. V.; Ramesh, S.; Gowda, M. Byre; Rao, A. Mohan; Keerthi, C. M.

doi:10.1080/15427528.2015.1036955

Cited by 12 publications

(10 citation statements)

References 25 publications

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“…However, ‘ t ’-test indicated that means of Shannon–Weaver and Nei's diversity indices of the entire, power core and cluster core collections for these qualitative characters were not significantly different from each other. This is also conformity with the inference of Vaijayanthi et al (2015a, b) that mean Shannon–Weaver and Nei's diversity indices in the core collections should be comparable to that of the entire collection. The results of χ 2 test revealed that the percentage of significant characters in both collections is well below the prescribed 20% (Vaijayanthi et al , 2015a, b), and hence it can be concluded that both core collections represent the entire collection when qualitative characters are considered.…”

Section: Discussionsupporting

confidence: 92%

“…This shows the efficiency of heuristic approach in making core collections. As far as Shannon–Weaver and Nei's diversity values are considered, several workers infer that the core collections with comparable diversity indices in relation to the entire collection can be considered as representatives (Upadhyaya et al , 2003; Dwivedi et al , 2008; Upadhyaya et al , 2009; Vaijayanthi et al , 2015a, b). However, Odong et al (2013) deduced that higher the diversity index, higher is the retention of diversity by the core collection.…”

Section: Discussionmentioning

confidence: 99%

“…However, in recent years, heuristic approach with advanced maximization strategy (Kim et al, 2007) is gaining significance as it develops core collection representing all observation classes with least allelic redundancy ensuring a highly reproducible list of entries. This method has been successfully deployed in crops like rice (Chung et al , 2009), mung bean (Moe et al , 2012), dolichos bean (Vaijayanthi et al , 2015a, b), foxtail millet (Gowda et al , 2013) and soybean (Gireesh et al , 2015). Keeping this in view, in the present study, the heuristic approach with advanced maximization strategy was followed for making core collection in cashew.…”

Section: Core Collection – Earlier Effortsmentioning

confidence: 99%

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Development of the core collection through advanced maximization strategy with heuristic approach in cashew (Anacardium occidentaleL.)

Mohana

Nayak

2018

Plant Genet. Resour.

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ICAR-Directorate of Cashew Research is the nodal agency for conducting cashew research and manages the largest field gene bank in India. Cashew is a perennial tree and needs more land and other resources to maintain accessions. Conservation through seeds is not feasible because of cross-pollination. Tissue culture efforts to regenerate plants from mature explants are not successful. Therefore, efficient management of the filed gene bank particularly utilization requires designation of the core collection representing the spectrum of diversity present in the entire collection. In this study, a relatively new technique, the advanced M strategy with heuristic approach was deployed to develop the core collection. Sixty-eight morphometric characters of 478 accessions were subjected to analysis resulting in the core collection of 49 accessions. Further, another core collection of same number was constituted by K-Means clustering to compare the efficiency of two approaches. The validation parameters like mean difference, variance difference, coincidence rate, variable rate and class coverage among others were employed for comparative analysis. The results of these parameters revealed that the core collection designated by heuristic approach was better able to efficiently represent and retain the diversity of the entire collection compared with the core identified by clustering approach. Future conservation and breeding efforts will be focused on establishing a separate block in the field gene bank having 49 accessions of cashew core collection.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Core Collection – Earlier Effortsmentioning

confidence: 99%

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Development of the core collection through advanced maximization strategy with heuristic approach in cashew (Anacardium occidentaleL.)

Mohana

Nayak

2018

Plant Genet. Resour.

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“…Beauv.] (Gowda, Krishanappa, Pathak, Mathur, & Seetharam, 2013), Dolichos bean [Lablab purpureus (L.) Sweet] (Vaijayanthi, Ramesh, Gowda, Rao, & Keerthi, 2015), wheat (Dutta et al, 2015), chickpea (Archak et al, 2016), and cashew (Anacardium occidentale L.) (Mohana & Nayak, 2018).…”

Section: Introductionmentioning

confidence: 99%

Characterization of wheat germplasm conserved in the Indian National Genebank and establishment of a composite core collection

et al. 2020

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The use of untapped plant genetic resources of wheat (Triticum spp.) can enhance its productivity. In the present study, we characterized 22,416 accessions of three different species of wheat conserved in the Indian National Genebank using 23 qualitative and 12 quantitative traits to develop a core set. These accessions were highly diverse on the basis of range, coefficient of variation, and Shannon–Weaver diversity index. Initial grouping was done on the bases of species and origin, and thereafter, agromorphological data were used to develop core sets for each species group using the heuristic approach with PowerCore. Finally, a composite core set was constituted comprising 2,226 accessions, which included 1,779 accessions of bread wheat (T. aestivum L.), 394 of durum wheat [T. turgidum L. subsp. durum (Desf.) van Slageren], and 53 of emmer wheat [T. dicoccon Schrank; syn. T. turgidum L. subsp. dicoccon (Schrank) Thell]. The core set was validated under field conditions. Also, the coincidence rate of range (CR) (bread wheat, 85.78%; durum wheat, 87.52%; and emmer wheat, 95.34%) and variable rate of the coefficient of variation (VR) (bread wheat, 174.9%; durum wheat, 136.5%; and emmer wheat, 105.81%) were more than the threshold values of 80 and 100%, respectively. The phenotypic correlations among different traits attributable to coadapted gene complexes and total variation shown by principal components in the entire set were also mostly preserved in the core set. The composite wheat core and the trait‐specific germplasm sets identified would serve as valuable resources for global wheat improvement programs.

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“…Similarly, a core collection of 64 representative accessions was developed based on 21 qualitative and 20 quantitative traits from 644 accessions in India. During the study, a comparison of standard stratified clustering and the Heuristic approach was performed to determine the efficiency of developing a representative sample and reported the Heuristic approach to be more appropriate (Vaijayanthi et al 2015 ).…”

Section: Core Collection Of Lablabmentioning

confidence: 99%

Breeding potential of lablab [Lablab purpureus (L.) Sweet]: a review on characterization and bruchid studies towards improved production and utilization in Africa

Letting

Venkataramana

Ndakidemi

2021

Genet Resour Crop Evol

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Lablab ( Lablab purpureus ) [ Lablab purpureus (L.) Sweet] is termed a lost, underutilized and neglected crop in Africa. Despite the multipurpose use, production, consumption and research are still limited. Wide genetic diversity of lablab germplasm exists in Africa. Diversity studies provide significant information for subsequent research programs and improvement. The advent of genotyping and sequencing technologies has enabled the identification of unique and agronomically important traits. Application of next-generation sequencing on lablab as a pioneer orphan crop is currently underway. This has enabled description of the whole genome, generation of reference genome and resequencing that provide information on variation within the entire genome. Information from these technological advances helps in identifying potential traits for biotic and abiotic stress for further breeding programs. Storage pests specifically bruchids ( Callosobruchus spp.), are considered a major obstacle in lablab production. Screening of available genotypes for bruchid resistance and studies on the physical and biochemical factors that confer resistance in lablab is required. Applying advanced technologies provides precise and reliable identification of the novel markers responsible for bruchid resistance allowing for introgression of important genes to breeding programs. This review provides a detailed analysis on the characterization of lablab and the information on bruchid resistance vital for breeding farmer-preferred varieties that possess agronomically beneficial traits. Concerted efforts and research on this neglected crop will enhance its production, utilization and consumption.

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Development of Core Sets of Dolichos Bean (Lablab purpureusL. Sweet) Germplasm

Cited by 12 publications

References 25 publications

Development of the core collection through advanced maximization strategy with heuristic approach in cashew (Anacardium occidentaleL.)

Development of the core collection through advanced maximization strategy with heuristic approach in cashew (Anacardium occidentaleL.)

Characterization of wheat germplasm conserved in the Indian National Genebank and establishment of a composite core collection

Breeding potential of lablab [Lablab purpureus (L.) Sweet]: a review on characterization and bruchid studies towards improved production and utilization in Africa

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