Screening of Resistance Source Against Spot Blotch Disease Caused by Bipolaris Sorokiniana in Triticum Aestivum L.

Ojha, Ashish; Singh, Gyanendra; Tyagi, BhudevSingh; Singh, Virender; Rajita, A; Kumar, Pradeep

doi:10.21474/ijar01/2716

Cited by 3 publications

(2 citation statements)

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“…In winter wheat, modern European winter wheat cultivars and breeding lines ( Liatukas and Ruzgas, 2012 ) have been evaluated, but the United States germplasm has not been extensively exploited. In the present study, the 294 HWW genotypes showed a variable reaction against SB indicating the existence of genetic variability among them similar to the observations reported in spring wheat ( Khan and Chowdhury, 2011 ; Kumar et al, 2017 ; Ojha et al, 2017 ). We observed a repeatability of 96% and a heritability of 80% demonstrating the reliability of the SB resistance evaluation under greenhouse conditions.…”

Section: Discussionsupporting

confidence: 90%

Genome-Wide Association Study for Spot Blotch Resistance in Hard Winter Wheat

et al. 2018

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Spot blotch (SB) caused by Cochliobolus sativus (anamorph: Bipolaris sorokiniana) is an economically important disease of wheat worldwide. Under a severe epidemic condition, the disease can cause yield losses up to 70%. Previous approaches like bi-parental mapping for identifying SB resistant genes/QTLs exploited only a limited portion of the available genetic diversity with a lower capacity to detect polygenic traits, and had a lower marker density. In this study, we performed genome-wide association study (GWAS) for SB resistance in hard winter wheat association mapping panel (HWWAMP) of 294 genotypes. The HWWAMP was evaluated for response to B. sorokiniana (isolate SD40), and a range of reactions was observed with 10 resistant, 38 moderately resistant, 120 moderately resistant- moderately susceptible, 111 moderately susceptible, and 15 susceptible genotypes. GWAS using 15,590 high-quality SNPs and 294 genotypes we identified six QTLs (p = <0.001) on chromosomes 2D, 3A, 4A, 4B, 5A, and 7B that collectively explained 30% of the total variation for SB resistance. Highly associated SNPs were identified for all six QTLs, QSb.sdsu-2D.1 (SNP: Kukri_c31121_1460, R2 = 4%), QSb.sdsu-3A.1 (SNP: Excalibur_c46082_440, R2 = 4%), QSb.sdsu-4A.1 (SNP: IWA8475, R2 = 5.5%), QSb.sdsu-4B.1 (SNP: Excalibur_rep_c79414_306, R2 = 4%), QSb.sdsu-5A.1 (SNP: Kukri_rep_c104877_2166, R2 = 6%), and QSb.sdsu-7B.1 (SNP: TA005844-0160, R2 = 6%). Our study not only validates three (2D, 5A, and 7B) genomic regions identified in previous studies but also provides highly associated SNP markers for marker assisted selection. In addition, we identified three novel QTLs (QSb.sdsu-3A.1, QSb.sdsu-4A.1, and QSb.sdsu-4B.1) for SB resistance in wheat. Gene annotation analysis of the candidate regions identified nine NBS-LRR and 38 other plant defense-related protein families across multiple QTLs, and these could be used for fine mapping and further characterization of SB resistance in wheat. Comparative analysis with barley indicated the SB resistance locus on wheat chromosomes 2D, 3A, 5A, and 7B identified in our study are syntenic to the previously identified SB resistance locus on chromosomes 2H, 3H, 5H, and 7H in barley. The 10 highly resistant genotypes and SNP markers identified in our study could be very useful resources for breeding of SB resistance in wheat.

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Section: Discussionsupporting

confidence: 90%

Genome-Wide Association Study for Spot Blotch Resistance in Hard Winter Wheat

et al. 2018

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“…Out of four moderately resistant accessions, two showed similar reaction and two showed highly susceptible reaction. Our result is in accordance with Ojha et al (2017) who showed that the disease response of wheat genotypes to leaf blotch pathogen varied between natural and artificial screening. Artificial screening verifies the results of natural screening (Chand et al, 2008), thus artificial screening of genotypes is very important to confirm field resistance for accuracy.…”

Section: Per Plantsupporting

confidence: 93%

Collection and evaluation of genetic diversity in Dinanath grass (Pennisetum pedicellatum Trin.) for forage yield and leaf blight resistance

Singh¹,

Dheeravathu²,

Dikshit³

et al. 2021

JEB

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Aim: Dinanath grass is a drought tolerant multipurpose species with high potential for quality fodder in tropical regions. In India, it is distributed in eastern and southern parts. The gap in collection and exploitation of genetic diversity exists in Dinanath grass. Therefore, genetic diversity of Dinanath grass was collected and evaluated for utilization in genetic improvement of Pennisetum species for future fodder security. Methodology: A total 28 accessions of Dinanath grass were collected from western and southern regions of Karnataka. Collected accessions were grown under rainfed conditions and evaluated for six qualitative and ten quantitative traits and response to leaf blight reaction. The evaluated accessions were analyzed by using different univariate and multivariate statistical tools. Results: Dinanath accessions were categorized as per qualitative traits. Quantitative traits exhibited low (7.43%) to high (62.88%) coefficient of variation. Dry matter yield showed positive association with plant height, leaf area and tillers per plant. Cluster analysis classified Dinanath accessions into four distinct groups. The first five principal components explained >85% of the total variation. Three accessions viz., IG-15-26, IG-15-30, IG-15-4 were identified as resistant against leaf blight disease; and donor accessions for agronomic traits were selected. Interpretation: The indigenous Dinanath grass collection from Western Karnataka has ample diversity with reference to qualitative and biomass contributing traits; and resistance against leaf bight disease. The information generated on collected germplasm will assist the researchers in designing the Pennisetum genetic improvement programme.

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