2016
DOI: 10.18805/lr.v0iof.11299
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Genetic diversity analysis among selected short duration chickpeacultivars and breeding lines based on STMS markers.

Abstract: Genetic diversity among 30 chickpea genotypes was evaluated using simple sequence repeat (SSR) molecular markers. The studies using Sequence Tagged Microsatellite Site (STMS) markers markers revealed that among the primers used across the genotypes produced a total of 35 alleles representing 21 SSR loci with frequencies ranging from one to two (mean 1.66) alleles per locus. Polymorphic Information Content (PIC) ranged from 0.098 to 0.500 (CAM0443, CAM0446). These primers might be an effective and useful tool t… Show more

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Cited by 5 publications
(6 citation statements)
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“…In order to improve the productivity of chickpea, the use of DNA based molecular markers has been proposed for marker assisted selection ( MAS) , mapping of QTL (Quantitative Trait Loci) , SSR and positional cloning of genes in chickpea . SSR markers have been employed to analyze genetic diversity and relationships in a number of crops (Ajibade et al 2000, Raina et al 2001, Bart et al 2002, Srivastava et al 2016, Babayeva et al 2018, Syeda Asma Koinain et al . 2015.…”
Section: Introductionmentioning
confidence: 99%
“…In order to improve the productivity of chickpea, the use of DNA based molecular markers has been proposed for marker assisted selection ( MAS) , mapping of QTL (Quantitative Trait Loci) , SSR and positional cloning of genes in chickpea . SSR markers have been employed to analyze genetic diversity and relationships in a number of crops (Ajibade et al 2000, Raina et al 2001, Bart et al 2002, Srivastava et al 2016, Babayeva et al 2018, Syeda Asma Koinain et al . 2015.…”
Section: Introductionmentioning
confidence: 99%
“…Various molecular markers have been applied for diversity analysis in chickpea (Iruela et al, 2002;Nguyen et al, 2004;Koinain et al, 2016;Jayalakshmi et al, 2016;Kumar et al, 2017). Among them RAPD (random amplified polymorphic DNA) and ISSR (inter simple-sequenced repeats) markers are technically simple and can detect variation in both coding as well as non-coding regions of the genome (Singh et al, 2002).…”
Section: Introductionmentioning
confidence: 99%
“…The Multi-locational Yield Trial is a vital experiment for the selection of a specific genotype based on yield and stability performance [13,14]. The additive main effects of multiplicative interaction (AMMI) [13,15,16], stability variance [17], coefficient of variability [18] and computer software based on GGE biplot analysis are the statistical model which was commonly used to describe GE interaction and facilitate genotype recommendations in MYT. Biplot analysis is the most commonly used for the selection of stable genotypes among different locations.…”
Section: Discussionmentioning
confidence: 99%
“…Biplot analysis is the most commonly used for the selection of stable genotypes among different locations. The yield of each cultivar in a tested environment is a result of the genotypic main effect (G), environmental main effect (E) and genotype X environment (GE) interaction in biplot analysis [13]. GGE biplot technique separates two principal components, PC1 and PC2 which are derived from subjecting environment-centred yield data (the yield variation due to GGE) to singular value decomposition where the horizontal axis (PC1) indicates the main effect of genotype while the vertical axis (PC2) shows the interaction of genotype and environment which is the basic criterion for judging genotypic stability [19].…”
Section: Discussionmentioning
confidence: 99%