Molecular characterization of wheat germplasm using microsatellite markers

Ijaz, Siddra; Khan, Iftikhar Ahmad

doi:10.4238/vol8-3gmr608

Cited by 33 publications

(35 citation statements)

References 30 publications

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“…Bányai et al (2006) reported an average 0.60 PIC value in 96 wheat genotypes using 15 SSR markers. Ijaz and Khan (2009) reported maximum 95% and minimum 41% similarity in 63 wheat genotypes. Our results revealed that the D genome was the richest in identified SSR-based polymorphisms because D genome-based SSR markers produced maximum alleles followed by B and A genomes (Table 6).…”

Section: Discussionmentioning

confidence: 97%

Evaluation of wheat landrace genotypes for salinity tolerance at vegetative stage by using morphological and molecular markers

Shahzad¹,

Ahmad²,

Iqbal³

et al. 2012

Genet. Mol. Res.

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ABSTRACT. Identification of new sources of salt tolerance is particularly important to develop crop varieties suitable for saline soils. We evaluated 129 Pakistani and 58 exotic wheat landraces/ cultivars grown in Hoagland's hydroponic nutrient solution, under control (tap water equivalent to 10 mM salt) and salt stress (200 mM NaCl) conditions. Forty-four genotypes were also tested under 250 mM NaCl stress. High heritability and positive correlations suggested that number of tillers per plant, root length, root fresh and dry weights, and shoot fresh and dry weights are associated with salt tolerance and could be used as selection criteria. SSR markers revealed high genetic variation in the wheat genotypes. Twelve SSR markers (cfd 1, cfd 9, cfd 18, cfd 46, cfd 49, cfd 183, wmc 11, wmc 17, wmc 18, wmc 154, wmc 432, and wmc 503) were found to be associated with salt tolerance because they were amplified in tolerant genotypes only. Five markers, cfd 9, cfd 18, cfd 183, wmc 96, and wmc 405, were identified as most suitable to evaluate salt tolerance because they were associated with four or more salt tolerance traits studied. Cultivars Pasban 90, accessions 10790, 10828, 10823, and 4098805 from Pakistan and Sakha-92 from Egypt performed best at both stress levels.

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Section: Discussionmentioning

confidence: 97%

Evaluation of wheat landrace genotypes for salinity tolerance at vegetative stage by using morphological and molecular markers

Shahzad¹,

Ahmad²,

Iqbal³

et al. 2012

Genet. Mol. Res.

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“…It is grown under both irrigated and rain-fed conditions. It belongs to family Gramineae [1]. As wheat is used as staple food crop in many regions of the world it is known as "king" of cereal crops [2].…”

Section: Introductionmentioning

confidence: 99%

Heritability estimates and correlation analysis in bread wheat (Triticum aestivum L.) under normal and late plantings

Adnan¹

2017

PAB

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To estimate heritability and correlation coefficients in bread wheat under normal and late plantings, an experiment was carried out at the research farm of Plant Breeding and genetics, The University of Agriculture Peshawar, Pakistan during 2013. Forty wheat genotypes (39 Advance lines and 1 local check) were tested under normal and late sowing in 5×8 alpha lattice design with three replicates. Combined analysis of variance exhibited significant genotype by environment interactions for spikes m -2 , grains spike -1 , 1000-grain weight, bio-mass yield, grain yield and harvest index. Under normal planting assessments of broad-sense heritability for days to heading were (84%), grains spike -1 (88%), 1000-grain weight (95%), bio-mass yield (89%), grain yield (96%) and harvest index (86%) under late planting estimates of broad-sense heritability for days to heading was (63%), grains spike -1 (93%), 1000-grain weight (94%), biomass yield (88%), grain yield (93%) and harvest index (77%) were calculated. Grain yield showed positive and significant genotypic and phenotypic correlations with spikes m -2 , 1000-grain weight, bio-mass yield and harvest index under both planting conditions. Genotype SRN 19111 was identified to be best for 1000-grain weight, bio-mass yield and grain yield under normal planting while genotype PR-107 exhibited higher grain yield under late planting. Genotype SRN 19111 and PR-107 are recommended for further extensive testing.

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“…SSRs is more abundant, ubiquitous in presence, hypervariable in nature and has high polymorphic information content (Gupta et al, 1996). These markers have been used to characterize genetic diversity of wheat in many studies, including: Ijaz and Khan (2009) who investigated the genetic diversity of 63 bread wheat genotypes composed of 48 accessions and 15 cultivars, using 56 SSR markers. Cluster analysis based on microsatellite allelic diversity discriminated the accessions and cultivars into different clusters.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Genetic Diversity among Bread Wheat Cultivars (Triticum aestivum L.) Using SSR Markers

Drikvand¹,

Bihamta²,

Najafian³

et al. 2012

JAS

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The present study was conducted to understand the genetic diversity of bread wheat's that grown in Iran, and to evaluate polymorphism information content (PIC) of some wheat SSR primers. Experiment was done in the genomics Laboratory in Islamic Azad University, Khorramabad branch, Iran in 2012. Ninety-two bread wheat varieties were assayed to study the genetic diversity and polymorphism based on forty whole-genome SSR markers. Eighty alleles were identified and 2 alleles per locus were detected. The majority of SSR markers showed a high level of polymorphism. PIC values ranged from 0.12 (XBARC 148) to 0.80 (XBARC 54), with an average of 0.59 per primer, which indicates that markers were highly informative. According to similarity matrix, genetic similarity value ranged from 0.17 to 0.88. The lowest and highest genetic similarity were observed between 'Mihan' and 'Star' (No 31 and 57), 'Azadi' and 'Mahdavi' (No 4 and 6), respectively. Cluster analysis using the UPGMA method based on Jaccard coefficients was performed. Based on cluster analysis, 92 wheat cultivars were grouped in six clusters. Results indicated that Iranian grown wheat cultivars had high genetic diversity which could be exploited in wheat breeding programs.

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Molecular characterization of wheat germplasm using microsatellite markers

Cited by 33 publications

References 30 publications

Evaluation of wheat landrace genotypes for salinity tolerance at vegetative stage by using morphological and molecular markers

Evaluation of wheat landrace genotypes for salinity tolerance at vegetative stage by using morphological and molecular markers

Heritability estimates and correlation analysis in bread wheat (Triticum aestivum L.) under normal and late plantings

Investigation of Genetic Diversity among Bread Wheat Cultivars (Triticum aestivum L.) Using SSR Markers

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