Screening for drought tolerance in wheat genotypes by morphological and SSR markers

2020 ◽  
Vol 24 (1) ◽  
pp. 27-39
Author(s):  
Muhammad Shahidul Haque ◽  
Nihar Ranjan Saha ◽  
Muhammad Tariqul Islam ◽  
Muhammad Monirul Islam ◽  
Soo-Jeong Kwon ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Ssr Markers ◽  
Wheat Genotypes

Marker trait association study in wheat genotypes under normal and drought conditions using SSR markers

2019 ◽  
Vol 52 (2) ◽  
Author(s):  
Sonia Munir ◽  
Muhammad Azmat ◽  
Farooq Ahmad Khan ◽  
usman Saleem ◽  
Salman Saleem ◽  
...  
Keyword(s):  
Association Study ◽  
Ssr Markers ◽  
Wheat Genotypes ◽  
Trait Association ◽  
Drought Conditions

scholarly journals Genetic Diversity of Selected Rice Genotypes under Water Stress Conditions

Plants ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 27
Author(s):  
Mahmoud M. Gaballah ◽  
Azza M. Metwally ◽  
Milan Skalicky ◽  
Mohamed M. Hassan ◽  
Marian Brestic ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Water Stress ◽  
Drought Stress ◽  
Drought Tolerance ◽  
Ssr Markers ◽  
Similarity Index ◽  
Stress Conditions ◽  
Yield Potential ◽  
Drought Tolerant ◽  
Rice Genotypes

Drought is the most challenging abiotic stress for rice production in the world. Thus, developing new rice genotype tolerance to water scarcity is one of the best strategies to achieve and maximize high yield potential with water savings. The study aims to characterize 16 rice genotypes for grain and agronomic parameters under normal and drought stress conditions, and genetic differentiation, by determining specific DNA markers related to drought tolerance using Simple Sequence Repeats (SSR) markers and grouping cultivars, establishing their genetic relationship for different traits. The experiment was conducted under irrigated (normal) and water stress conditions. Mean squares due to genotype × environment interactions were highly significant for major traits. For the number of panicles/plants, the genotypes Giza179, IET1444, Hybrid1, and Hybrid2 showed the maximum mean values. The required sterility percentage values were produced by genotypes IET1444, Giza178, Hybrid2, and Giza179, while, Sakha101, Giza179, Hybrid1, and Hybrid2 achieved the highest values of grain yield/plant. The genotypes Giza178, Giza179, Hybrid1, and Hybrid2, produced maximum values for water use efficiency. The effective number of alleles per locus ranged from 1.20 alleles to 3.0 alleles with an average of 1.28 alleles, and the He values for all SSR markers used varied from 0.94 to 1.00 with an average of 0.98. The polymorphic information content (PIC) values for the SSR were varied from 0.83 to 0.99, with an average of 0.95 along with a highly significant correlation between PIC values and the number of amplified alleles detected per locus. The highest similarity coefficient between Giza181 and Giza182 (Indica type) was observed and are susceptible to drought stress. High similarity percentage between the genotypes (japonica type; Sakha104 with Sakha102 and Sakha106 (0.45), Sakha101 with Sakha102 and Sakha106 (0.40), Sakha105 with Hybrid1 (0.40), Hybrid1 with Giza178 (0.40) and GZ1368-S-5-4 with Giza181 (0.40)) was also observed, which are also susceptible to drought stress. All genotypes are grouped into two major clusters in the dendrogram at 66% similarity based on Jaccard’s similarity index. The first cluster (A) was divided into two minor groups A1 and A2, in which A1 had two groups A1-1 and A1-2, containing drought-tolerant genotypes like IET1444, GZ1386-S-5-4 and Hybrid1. On the other hand, the A1-2 cluster divided into A1-2-1 containing Hybrid2 genotype and A1-2-2 containing Giza179 and Giza178 at coefficient 0.91, showing moderate tolerance to drought stress. The genotypes GZ1368-S-5-4, IET1444, Giza 178, and Giza179, could be included as appropriate materials for developing a drought-tolerant variety breeding program. Genetic diversity to grow new rice cultivars that combine drought tolerance with high grain yields is essential to maintaining food security.

Physiological and morphological responses to water stress in Aegilops biuncialis and Triticum aestivum genotypes with differing tolerance to drought

2004 ◽  
Vol 31 (12) ◽  
pp. 1149 ◽  
Author(s):  
István Molnár ◽  
László Gáspár ◽  
Éva Sárvári ◽  
Sándor Dulai ◽  
Borbála Hoffmann ◽  
...  
Keyword(s):  
Growth Rate ◽  
Triticum Aestivum ◽  
Water Stress ◽  
Drought Tolerance ◽  
Osmotic Stress ◽  
Biomass Production ◽  
Water Loss ◽  
Stomatal Closure ◽  
Co2 Assimilation ◽  
Wheat Genotypes

The physiological and morphological responses to water stress induced by polyethylene glycol (PEG) or by withholding water were investigated in Aegilops biuncialis Vis. genotypes differing in the annual rainfall of their habitat (1050, 550 and 225 mm year–1) and in Triticum aestivum L. wheat genotypes differing in drought tolerance. A decrease in the osmotic pressure of the nutrient solution from –0.027 to –1.8 MPa resulted in significant water loss, a low degree of stomatal closure and a decrease in the intercellular CO2 concentration (Ci) in Aegilops genotypes originating from dry habitats, while in wheat genotypes high osmotic stress increased stomatal closure, resulting in a low level of water loss and high Ci. Nevertheless, under saturating light at normal atmospheric CO2 levels, the rate of CO2 assimilation was higher for the Aegilops accessions, under high osmotic stress, than for the wheat genotypes. Moreover, in the wheat genotypes CO2 assimilation exhibited less or no O2 sensitivity. These physiological responses were manifested in changes in the growth rate and biomass production, since Aegilops (Ae550, Ae225) genotypes retained a higher growth rate (especially in the roots), biomass production and yield formation after drought stress than wheat. These results indicate that Aegilops genotypes, originating from a dry habitat have better drought tolerance than wheat, making them good candidates for improving the drought tolerance of wheat through intergeneric crossing.

scholarly journals Characterization of wheat genotypes for drought tolerance and water use efficiency

2021 ◽  
Vol 78 (5) ◽  
Author(s):  
Guilherme Filgueiras Soares ◽  
Walter Quadros Ribeiro Júnior ◽  
Lucas Felisberto Pereira ◽  
Cristiane Andréa de Lima ◽  
Daiane dos Santos Soares ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Water Use Efficiency ◽  
Water Use ◽  
Wheat Genotypes ◽  
Use Efficiency

scholarly journals Assessment of Variability and Genetic Structure of Canola cultivars and Lines using SSR Markers Related on Drought Tolerance QTLs

2018 ◽  
Vol 10 (26) ◽  
pp. 65-75
Author(s):  
Hassan Zali ◽  
Omid Sofalian ◽  
Mehrshad Zeinalabedini ◽  
Tahereh hasanloo ◽  
Ali asgharii ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Drought Tolerance ◽  
Ssr Markers

Selection of wheat genotypes for biomass allocation to improve drought tolerance and carbon sequestration into soils

2019 ◽  
Vol 205 (4) ◽  
pp. 385-400 ◽  
Author(s):  
Isack Mathew ◽  
Hussein Shimelis ◽  
Macdex Mutema ◽  
Alistair Clulow ◽  
Rebecca Zengeni ◽  
...  
Keyword(s):  
Carbon Sequestration ◽  
Drought Tolerance ◽  
Biomass Allocation ◽  
Wheat Genotypes ◽  
Selection Of

scholarly journals QTL detection and putative candidate gene prediction for leaf rolling under moisture stress condition in wheat

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Aakriti Verma ◽  
M. Niranjana ◽  
S. K. Jha ◽  
Niharika Mallick ◽  
Priyanka Agarwal ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Candidate Gene ◽  
Linkage Map ◽  
Ssr Markers ◽  
Stress Condition ◽  
Recombinant Inbred Lines ◽  
Snp Array ◽  
Moisture Stress ◽  
Potential Candidate ◽  
Leaf Rolling

Abstract Leaf rolling is an important mechanism to mitigate the effects of moisture stress in several plant species. In the present study, a set of 92 wheat recombinant inbred lines derived from the cross between NI5439 × HD2012 were used to identify QTLs associated with leaf rolling under moisture stress condition. Linkage map was constructed using Axiom 35 K Breeder’s SNP Array and microsatellite (SSR) markers. A linkage map with 3661 markers comprising 3589 SNP and 72 SSR markers spanning 22,275.01 cM in length across 21 wheat chromosomes was constructed. QTL analysis for leaf rolling trait under moisture stress condition revealed 12 QTLs on chromosomes 1B, 2A, 2B, 2D, 3A, 4A, 4B, 5D, and 6B. A stable QTL Qlr.nhv-5D.2 was identified on 5D chromosome flanked by SNP marker interval AX-94892575–AX-95124447 (5D:338665301–5D:410952987). Genetic and physical map integration in the confidence intervals of Qlr.nhv-5D.2 revealed 14 putative candidate genes for drought tolerance which was narrowed down to six genes based on in-silico analysis. Comparative study of leaf rolling genes in rice viz., NRL1, OsZHD1, Roc5, and OsHB3 on wheat genome revealed five genes on chromosome 5D. Out of the identified genes, TraesCS5D02G253100 falls exactly in the QTL Qlr.nhv-5D.2 interval and showed 96.9% identity with OsZHD1. Two genes similar to OsHB3 viz. TraesCS5D02G052300 and TraesCS5D02G385300 exhibiting 85.6% and 91.8% identity; one gene TraesCS5D02G320600 having 83.9% identity with Roc5 gene; and one gene TraesCS5D02G102600 showing 100% identity with NRL1 gene were also identified, however, these genes are located outside Qlr.nhv-5D.2 interval. Hence, TraesCS5D02G253100 could be the best potential candidate gene for leaf rolling and can be utilized for improving drought tolerance in wheat.

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