Ascertaining narrow genetic base in commercial accessions of wheat commonly grown in Gujarat <i>via</i> molecular markers

Raj, R.S. David Paul; Vyas, Yama S.; Baranda, Viral Kumar M.; Joshi, Madhvi; Tyagi, Shradha Nand; Bagatharia, S. B.

doi:10.5958/0975-928x.2017.00084.9

Cited by 5 publications

(9 citation statements)

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“…None of the classifications could clearly differentiate the genotypes with respect to their geographical locations and similarity among them was independent of the geography to which they are best adapted. These results are similar to that reported by Kumar et al (2013) in guar and Raj et al (2017) in wheat.…”

Section: Resultssupporting

confidence: 93%

“…Two varieties (WH 896 and WHD 943) out of four durum wheat varieties were placed under same cluster while the other two were scattered among different clusters with bread wheat. Lower magnitude of genetic diversity among cultivated wheat varieties and grouping of durum genotypes with aestivum was also reported (Raj et al, 2017). Restricted genetic diversity between different species and within a single species is due to the nature of wheat as it is an allohexaploid developed by crosses between three highly interrelated diploid species, and the process of poplyploidization limits the genetic variability (Venske et al, 2019).…”

Section: Resultsmentioning

confidence: 80%

“…Xgwm 46 (0.65), Xgwm 146 (0.60) and Xgwm 112 (0.54) ( Table 2). These markers have been previously reported to produce higher polomorphism in a study conducted by Raj et al (2017). Nefzaoui et al (2014) recorded a total of 44 alleles using 9 markers, Salem et al (2008) recorded a total of 48 alleles using 15 markers while Sheoran et al (2015) recorded a total of 86 alleles with 36 markers.…”

Section: Resultsmentioning

confidence: 89%

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Systematic trait based identification and characterization of Indian wheat varieties released during different time scales

Sharma¹,

Yashveer²,

Singh³

et al. 2020

JEB

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Aim: Wheat varieties have been developed for yield improvement by modern plant breeding methods from the basic pedigree for long which brought about a restricted hereditary base. Therefore, the present study was designed to develop identification keys and characterize different wheat varieties on the basis of multiple traits. Methodology: Thirty-four Indian wheat (Triticum spp.) varieties released during different time scales were assessed for diversity through various approaches based on morphological, seed vigour, biochemical and molecular characterization.? Results: The results revealed that a considerable amount of variation was present in phenotypic characters such as flag leaf, plant height, spike and yield related characters. Seed vigour parameters included test weight, seedling dry weight, seedling length, accelerated ageing test and vigour indices showed significant variability among varieties. Dehydrogenase activity, tetrazolium test and electrical conductivity of seed leachates were also found worth studying for diversity. Molecular characterization included twenty-one SSRs selected after screening of 45, amplified 46 alleles, among them 42 alleles were polymorphic. PIC value varied from 0.1 to 0.65 and similarity coefficient extended from 0.34 to 0.87. Interpretation: Genetic diversity pattern analysis of genotypes based on their geographical origin did not show any clear relation, however characters like plant height, seed boldness and seedling vigour indices of varieties showed a trend with a chronology of their release. Different perspectives used in the study successfully categorized wheat genotypes into various groups.

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Section: Resultssupporting

confidence: 93%

Section: Resultsmentioning

confidence: 80%

Section: Resultsmentioning

confidence: 89%

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Systematic trait based identification and characterization of Indian wheat varieties released during different time scales

Sharma¹,

Yashveer²,

Singh³

et al. 2020

JEB

View full text Add to dashboard Cite

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“…In this respect, information about the genetic diversity available in the gene pool for terminal HS can facilitate in widening the genetic basis of bread wheat and assists in accelerating the genetic gains to the crop. Efforts were made by various researchers to investigate the genetic diversity in bread wheat for terminal heat tolerance using diverse DNA marker systems such as inter-simple sequence repeat (Maqsood et al ., 2017), simple sequence repeats (SSRs) (Raj et al ., 2017) and single nucleotide polymorphism (SNP) (Garg et al ., 2012). Since SSRs are highly diverse and codominant, these are the widely preferred DNA markers for diversity analysis, high reproducibility and greater abundance across the genome (Gupta and Varshney, 2000).…”

Section: Introductionmentioning

confidence: 99%

Population structure, marker-trait association and identification of candidate genes for terminal heat stress relevant traits in bread wheat (Triticum aestivum L. em Thell)

Sharma

Jaiswal

Gahtyari

et al. 2020

Plant Genet. Resour.

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Genetic improvement along with widened crop base necessitates for the detailed understanding of the genetic diversity and population structure in wheat. The present investigation reports the discovery of a total of 182 alleles by assaying 52 simple sequence repeats (SSRs) on 40 genotypes of bread wheat. Unweighted neighbour-joining method grouped these genotypes into two main clusters. Highly heat tolerant and intermediate tolerant cultivars were grouped in the same cluster, whereas remaining genotypes, particularly sensitive ones, were assigned different cluster. Similarly, the entire population was structured into two sub-populations (K = 2), closely corresponding with the other distance-based clustering patterns. The marker-trait association was discovered for four important physiological parameters, viz. canopy temperature depression, membrane thermostability index (MSI), normalized difference vegetation index and heat susceptibility index, indicating for heat stress (HS) tolerance in wheat. Both general and mixed linear models of association studies during 2017 and 2018, revealed the association of SSR markers, wmc222 (17.60%, PV) and gwm34 (20.70%, PV) with the mean phenotypic value of MSI. Likewise, SSR markers barc183, gwm75, gwm11 and cfd7 revealed a unique relationship with four selected physiological traits. Candidate genes discovered using in silico tools had nine SSR markers within the genic regions reported to play a role in heat and drought stress responses in plants. The information generated about these genic regions may be explored further in expression studies in-vivo to impart HS tolerance in bread wheat.

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“…In addition to significant agronomic features, breeders around the world are working for increased grain yield with better quality (Desheva and Kyosev, 2015). The selection of diverse genotypes is an important step for molecular breeding of wheat (Raj et al, 2017). Microsatellites are an effective tool in diversity studies for identification of the degree of genetic similarity (Salem et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Genetic Diversity and Population Structure of Some Soft and Hard Wheat Varieties Based on SSR Marker

Fattah

Tayib

2020

SJUOZ

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Wheat (Triticum spp.) is one of the most important cereal crops in Iraq and the world. It includes many species and varieties. The two major cultivated species of wheat are, durum wheat (Tritium durum Desf.) which is tetraploid (2n= 28) and the common wheat (Triticum aestivum L.) which is hexaploid (2n = 42). Ten wheat varieties from both species were examined using ten Simple sequence repeat (SSR) markers (WMC17, WMC20, WMC21, WMC24, WMC25, WMC48, WMC50, WMC283, Xgwm11 and Xgwm626). Various genetic parameters were calculated using Power Marker V3.25 software. A total of 156 alleles were detected in both species. The gene diversity in wheat varieties from both species collectively varied from 0.85 to 1.00, which indicates considerable genetic diversity in the examined varieties. All markers used in this study were highly informative and the polymorphic information content (PIC) values were higher than 0.50 in all loci. Hence all markers are considered useful for genetic diversity studies in wheat’s populations. The dendrogram separated the populations into two main clades and many subgroups. Azadi variety was simplicifolious. This study confirms the discriminating power of SSR typing and its usefulness for comparison within hard and soft wheat populations.

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Ascertaining narrow genetic base in commercial accessions of wheat commonly grown in Gujarat via molecular markers

Cited by 5 publications

References 0 publications

Systematic trait based identification and characterization of Indian wheat varieties released during different time scales

Systematic trait based identification and characterization of Indian wheat varieties released during different time scales

Population structure, marker-trait association and identification of candidate genes for terminal heat stress relevant traits in bread wheat (Triticum aestivum L. em Thell)

Assessment of Genetic Diversity and Population Structure of Some Soft and Hard Wheat Varieties Based on SSR Marker

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