Genomic regions associated with leaf wilting traits under drought stress in spring wheat at the seedling stage revealed by GWAS

2021 ◽  
Vol 184 ◽  
pp. 104393
Author(s):  
Asmaa A.M. Ahmed ◽  
Elsayed A. Mohamed ◽  
Mohamed Y. Hussein ◽  
Ahmed Sallam
Keyword(s):  
Drought Stress ◽  
Spring Wheat ◽  
Seedling Stage ◽  
Genomic Regions

Effects of Drought Stress on Photosynthetic Characteristics of Maize Hybrids at Seedling Stage

2015 ◽  
Vol 41 (1) ◽  
pp. 154 ◽  
Author(s):  
Xing-Hua ZHANG ◽  
Jie GAO ◽  
Wei-Li DU ◽  
Ren-He ZHANG ◽  
Ji-Quan XUE
Keyword(s):  
Drought Stress ◽  
Photosynthetic Characteristics ◽  
Seedling Stage ◽  
Maize Hybrids ◽  
Effects Of Drought

Response of Four Spring Wheat Cultivars to Drought Stress

Crop Science ◽  
1996 ◽  
Vol 36 (4) ◽  
pp. 982-986 ◽  
Author(s):  
M. A. Moustafa ◽  
L. Boersma ◽  
W. E. Kronstad
Keyword(s):  
Drought Stress ◽  
Spring Wheat ◽  
Wheat Cultivars

scholarly journals Identification of Genes Controlling Seedling Stage Traits in Iranian Rice Recombinant Lines under Drought Stress Conditions

2017 ◽  
Vol 9 (21) ◽  
pp. 1-9
Author(s):  
Mahnaz Katouzi ◽  
Saeid navabpour ◽  
Ahad Yamchi ◽  
Seyyedeh Sanaz Ramezanpour ◽  
Hossein Sabouri
Keyword(s):  
Drought Stress ◽  
Stress Conditions ◽  
Seedling Stage

Cell membrane stability and chlorophyll content variation in wheat (Triticum aestivum) genotypes under conditions of heat and drought

2016 ◽  
Vol 67 (7) ◽  
pp. 712 ◽  
Author(s):  
Shoaib Ur Rehman ◽  
Muhammad Bilal ◽  
Rashid Mehmood Rana ◽  
Muhammad Naveed Tahir ◽  
Muhammad Kausar Nawaz Shah ◽  
...  
Keyword(s):  
Heat Stress ◽  
Drought Stress ◽  
Cell Membrane ◽  
Chlorophyll Content ◽  
Chlorophyll A ◽  
Stress Conditions ◽  
Seedling Stage ◽  
Total Chlorophyll ◽  
Cell Membrane Stability ◽  
Total Chlorophyll Content

Heat and drought are among the major obstacles confronting crop production under climate change. The present study was conducted to evaluate 50 diverse wheat genotypes for cell membrane stability (CMS) and chlorophyll content at seedling and anthesis stages under heat and drought stress conditions, to understand the effect of the two abiotic factors and to find promising genotypes for future breeding. Experiments were conducted in the glasshouse (seedling stage) and the field (anthesis stage). Analysis of variance showed significant variation (P ≤ 0.05) for all of the traits at seedling and anthesis stages. High levels of broad-sense heritability and genetic advance at 5% selection intensity indicated the presence of a high genetic component of variation and potential for genetic improvement through selection among the existing genetic variation. CMS showed a significant positive correlation with 1000-grain weight (TGW) under heat and drought conditions at both seedling and anthesis stages. Chlorophyll a/b ratio at seedling stage exhibited a significant negative correlation (r = –0.39, P < 0.05) with TGW under heat stress. Total chlorophyll content was significantly (r = 0.42, P < 0.05) correlated with TGW under heat stress at anthesis. Genotypes ETAD248 and ETAD7 showed the highest CMS and TGW values, whereas their chlorophyll a/b values were lowest, at both seedling and anthesis stages under heat and drought stress conditions. Higher CMS and total chlorophyll content, and lower chlorophyll a/b, were found to be useful indicators to identify genotypes with high TGW under heat and drought stress conditions. This study indicated the possibility of using seedling resistance as an indicator for later stage response in breeding for heat and drought resistance. The resistant genotypes identified can be used as potential germplasm in breeding programs.

QTL mapping for seedling morphology under drought stress in wheat cross synthetic (W7984)/Opata

2018 ◽  
Vol 16 (4) ◽  
pp. 359-366
Author(s):  
Maria Khalid ◽  
Alvina Gul ◽  
Rabia Amir ◽  
Mohsin Ali ◽  
Fakiha Afzal ◽  
...  
Keyword(s):  
Drought Stress ◽  
Recombinant Inbred Lines ◽  
Genotyping By Sequencing ◽  
Interval Mapping ◽  
Wheat Breeding ◽  
Seedling Stage ◽  
Poor Correlation ◽  
Root Weight ◽  
Phenotypic Variance ◽  
Seedling Morphology

AbstractDrought stress ‘particularly at seedling stage’ causes morpho-physiological differences in wheat which are crucial for its survival and adaptability. In the present study, 209 recombinant inbred lines (RILs) from synthetic wheat (W7984)× ‘Opata’ (also known as SynOpRIL) population were investigated under well-watered and water-limited conditions to identify quantitative trait loci (QTL) for morphological traits at seedling stage. Analysis of variance revealed significant differences (P < 0.01) among RILs, and water treatments for all traits with moderate to high broad sense heritability. Pearson's coefficient of correlation revealed positive correlation among all traits except dry root weight that showed poor correlation with fresh shoot weight (FSW) under water-limited conditions. A high-density linkage map was constructed with 2639 genotyping-by-sequencing markers and covering 5047 cM with an average marker density of 2 markers/cM. Composite interval mapping identified 16 QTL distributed over nine chromosomes, of which six were identified under well-watered and 10 in water-limited conditions. These QTL explained from 4 to 59% of the phenotypic variance. Six QTL were identified on chromosome 7B; three for shoot length under water-limited conditions (QSL.nust-7B) at 64, 104 and 221 cM, two for fresh root weight (QFRW.nust-7B) at 124 and 128 cM, and one for root length (QRL.nust-7B) at 122 cM positions. QFSW.nust-7B appeared to be the most significant QTL explaining 59% of the phenotypic variance and also associated with FSW at well-watered conditions. These QTL could serve as target regions for candidate gene discovery and marker-assisted selection in wheat breeding.

Genetic analysis of multi-environmental spring wheat trials identifies genomic regions for locus-specific trade-offs for grain weight and grain number

2017 ◽  
Vol 131 (4) ◽  
pp. 985-998 ◽  
Author(s):  
Sivakumar Sukumaran ◽  
Marta Lopes ◽  
Susanne Dreisigacker ◽  
Matthew Reynolds
Keyword(s):  
Genetic Analysis ◽  
Spring Wheat ◽  
Grain Weight ◽  
Grain Number ◽  
Trade Offs ◽  
Genomic Regions
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