Morphological and molecular diversity reveal wide variability among sorghum Maldandi landraces from India

Rakshit, Sujay; Gomashe, S. S.; Ganapathy, K. N.; Elangovan, M.; Ratnavathi, C.V.; Seetharama, N.; Patil, J. V.

doi:10.1007/s13562-011-0079-9

Cited by 38 publications

(37 citation statements)

References 20 publications

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“…Nineteen SSR markers recorded PIC values more than 0.50 indicating their usefulness in discriminating the genotypes. Similar PIC value results with more than 0.50 were also reported by Smith et al, (2000) and Rakshit et al, (2012) in sorghum bicolor.…”

Section: Discussionsupporting

confidence: 88%

“…Among the different DNA markers, simple sequence repeats or SSRs are the most commonly used because they are hyper-variable, co-dominant, robust, and multi-allelic in nature (Rakshit et al, 2012). SSR markers are widely used for diversity assessment in several cultivated crop species including sorghum (Dje et al, 2000;Ghebru et al, 2002;Agrama and Tuinstra, 2003).…”

Section: Introductionmentioning

confidence: 99%

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Genetic Diversity Analysis of Eritrean Sorghum (<i>Sorghum bicolor</i> (L.) Moench) Germplasm using SSR Markers

Tesfamichael¹

2014

mpb

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Eritrea is considered a center of origin for sorghum, the main cereal crop in terms of area under cultivation and production in the country. There have been very little genetic diversity studies done on the Eritrean sorghum before. To improve this crop, the knowledge of genetic diversity estimation is needed on the available germplasm. The aim of this study was therefore to asses the extent of genetic diversity within and among 98 sorghum genotypes collected from Eritrea alongside 42 regional reference accessions from the International Crop Research Institute for Semi-Arid Tropics (ICRISAT) using a set of 29 Simple Sequence Repeat (SSR) markers. An average of 4.8 alleles per marker was recorded. The mean polymorphism information content (PIC) value for the SSR loci was 0.52. The Analysis of Molecular Variation (AMOVA) revealed that 12% of the variation resulted from the difference among populations, 31% within individual populations and 57% among individual accessions of the sub populations. Neighbor joining phylogeny tree based on genetic similarity coefficient revealed three distinct groups of clustering with the Eritrean populations further sub clustered into three groups. The Eritrean sorghum accessions from Gash Barka and South regions and South Sudan accessions recorded the highest private alleles. The results of Principal Coordinate Analysis (PCoA) also classified the sorghum accessions into three major groups. Genetic distance matrix revealed that the Eritrean accessions are more related to each other compared to the regional accessions. The existence of higher level of allelic richness, close genetic distance and an isolated clustering of the Eritrean population indicates that the accessions have not been introgressed with foreign genes and are valuable resource for future breeding programs of this crop.

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Genetic Diversity Analysis of Eritrean Sorghum (<i>Sorghum bicolor</i> (L.) Moench) Germplasm using SSR Markers

Tesfamichael¹

2014

mpb

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“…Dendrogram obtained by different marker systems provided largely similar information, though molecular markers were more efficient in differentiating all the lines, than morphological traits. In a similar study, Rakshit et al (2012) also demonstrated that SSR markers in combination with morphological (both quantitative and qualitative) traits can successfully differentiate closely related accessions of Maldandi sorghum. They reported 38 % congruence between the groupings obtained using quantitative, qualitative, and SSR data.…”

Section: The Use Of Diverse Data Sets In Diversity Analysismentioning

confidence: 72%

“…Biochemical markers have played a limited role to address the limitations of morphological markers. DNA markers could address these limitations effectively and have become the markers of choice across plant species including sorghum (Deu et al 2006;Medraoui et al 2007;Ritter et al 2007;Wang et al 2009;Rakshit et al 2012;Ganapathy et al 2012;Billot et al 2013;Ramu et al 2013). DNA markers, also referred to more commonly as molecular markers, are based on DNA sequence polymorphisms.…”

Section: Assaying Genetic Diversity Using Different Marker Systemsmentioning

confidence: 99%

DNA Markers in Diversity Analysis

Rakshit

Swapna

2015

Sorghum Molecular Breeding

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“…1). Rakshit et al (2012) studied the variability among sorghum maldandi landraces and found Thirteen promising Maldandi accessions selected based on field performance as well as morphological and molecular diversity.…”

Section: Resultsmentioning

confidence: 99%

Morphological characterization of forage sorghum genotypes for its various DUS traits

Bhusal

Pahuja

Vats

et al. 2017

JANS

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Abstract:The present investigation was conducted to characterize 20 genotypes of sorghum {Sorghum bicolor (L.) moench} on the basis of 33 morphological characters provided by Protection of Plant Variety & Farmer's Right Act (PPV&FRA) for Distinctiveness Uniformity and Stability (DUS) testing in sorghum. Experimental results revealed that maximum variation was found on the basis of glume colour among the genotypes i.e. G 46, HC 308, HJ 513 had green white, IS 3237, SSG 9, HC 171 had yellow white, SSG 59-3, COFS 29 had grayed purple, S 437-1, SGL-87, S 540-S, SSG (PSSG) had grayed yellow and remaining seven genotypes had grayed orange glume colour. The studied traits showed five genotypes had distinct state of expression. Genotype S-540 showed very high plant height upto the base of flag leaf, HC 136 had compact panicle density at maturity, COFS 29 had very long glume length, SSG 59-3 had distinct expression for days to panicle emergence (50 % of the plants with 50 % of anthesis) and COFS 29 and IS 18551 had short and very long leaf width of blade, respectively. The Principal Component Analysis (PCA) revealed principal Factor (PFI) and Principal Factor (PFII) with maximum variability (64.99 %). Classification of genotypes on the basis of DUS traits provided identification of key characteristics of various genotypes.

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Morphological and molecular diversity reveal wide variability among sorghum Maldandi landraces from India

Cited by 38 publications

References 20 publications

Genetic Diversity Analysis of Eritrean Sorghum (<i>Sorghum bicolor</i> (L.) Moench) Germplasm using SSR Markers

Genetic Diversity Analysis of Eritrean Sorghum (<i>Sorghum bicolor</i> (L.) Moench) Germplasm using SSR Markers

DNA Markers in Diversity Analysis

Morphological characterization of forage sorghum genotypes for its various DUS traits

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