scholarly journals Determining the Genetic Architecture of Reproductive Stage Drought Tolerance in Wheat Using a Correlated Trait and Correlated Marker Effect Model

2018 ◽  
pp. g3.200835.2018 ◽  
Author(s):  
Rudy Dolferus ◽  
Saravanan Thavamanikumar ◽  
Harriet Sangma ◽  
Sue Kleven ◽  
Xiaomei Wallace ◽  
...  
Agriculture ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 64
Author(s):  
Priyanka Dwivedi ◽  
Naleeni Ramawat ◽  
Gaurav Dhawan ◽  
Subbaiyan Gopala Krishnan ◽  
Kunnummal Kurungara Vinod ◽  
...  

Reproductive stage drought stress (RSDS) is detrimental for rice, which affects its productivity as well as grain quality. In the present study, we introgressed two major quantitative trait loci (QTLs), namely, qDTY2.1 and qDTY3.1, governing RSDS tolerance in a popular high yielding non-aromatic rice cultivar, Pusa 44, through marker-assisted backcross breeding (MABB). Pusa 44 is highly sensitive to RSDS, which restricts its cultivation across drought-prone environments. Foreground selection was carried out using markers, RM520 for qDTY3.1 and RM 521 for qDTY2.1. Background selection was achieved with 97 polymorphic SSR markers in tandem with phenotypic selection to achieve faster recurrent parent genome (RPG) recovery. Three successive backcrosses followed by three selfings aided RPG recoveries of 98.6% to 99.4% among 31 near isogenic lines (NILs). Fourteen NILs were found to be significantly superior in yield and grain quality under RSDS with higher drought tolerance efficiency (DTE) than Pusa 44. Among these, the evaluation of two promising NILs in the multilocational trial during Kharif 2019 showed that they were significantly superior to Pusa 44 under reproductive stage drought stress, while performing on par with Pusa 44 under normal irrigated conditions. These di-QTL pyramided drought-tolerant NILs are in the final stages of testing the All India Coordinated Rice Improvement Project varietal trials for cultivar release. Alternately, the elite drought-tolerant Pusa 44 NILs will serve as an invaluable source of drought tolerance in rice improvement.


Genetics ◽  
2005 ◽  
Vol 172 (2) ◽  
pp. 1213-1228 ◽  
Author(s):  
Bing Yue ◽  
Weiya Xue ◽  
Lizhong Xiong ◽  
Xinqiao Yu ◽  
Lijun Luo ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Xinyi Wu ◽  
Ting Sun ◽  
Wenzhao Xu ◽  
Yudong Sun ◽  
Baogen Wang ◽  
...  

Drought is one of the most devasting and frequent abiotic stresses in agriculture. While many morphological, biochemical and physiological indicators are being used to quantify plant drought responses, stomatal control, and hence the transpiration and photosynthesis regulation through it, is of particular importance in marking the plant capacity of balancing stress response and yield. Due to the difficulties in simultaneous, large-scale measurement of stomatal traits such as sensitivity and speed of stomatal closure under progressive soil drought, forward genetic mapping of these important behaviors has long been unavailable. The recent emerging phenomic technologies offer solutions to identify the water relations of whole plant and assay the stomatal regulation in a dynamic process at the population level. Here, we report high-throughput physiological phenotyping of water relations of 106 cowpea accessions under progressive drought stress, which, in combination of genome-wide association study (GWAS), enables genetic mapping of the complex, stomata-related drought responsive traits “critical soil water content” (θcri) and “slope of transpiration rate declining” (KTr). The 106 accessions showed large variations in θcri and KTr, indicating that they had broad spectrum of stomatal control in response to soil water deficit, which may confer them different levels of drought tolerance. Univariate GWAS identified six and fourteen significant SNPs associated with θcri and KTr, respectively. The detected SNPs distributed in nine chromosomes and accounted for 8.7–21% of the phenotypic variation, suggesting that both stomatal sensitivity to soil drought and the speed of stomatal closure to completion were controlled by multiple genes with moderate effects. Multivariate GWAS detected ten more significant SNPs in addition to confirming eight of the twenty SNPs as detected by univariate GWAS. Integrated, a final set of 30 significant SNPs associated with stomatal closure were reported. Taken together, our work, by combining phenomics and genetics, enables forward genetic mapping of the genetic architecture of stomatal traits related to drought tolerance, which not only provides a basis for molecular breeding of drought resistant cultivars of cowpea, but offers a new methodology to explore the genetic determinants of water budgeting in crops under stressful conditions in the phenomics era.


Author(s):  
Md. Abdul Kader ◽  
Tamal Lata Aditya ◽  
Ratna Rani Majumder ◽  
Tapas Kumer Hore ◽  
Md. Ehsanul Haq

Drought is the second most treacherous climate-related risk for rice production in rainfed lowland areas. To counter this climate vulnerability, a new rice variety with enhanced drought tolerance was developed. The promising line IR82589-B-B-84-3 was subjected to advanced yield trials to evaluate specific and general adaptability with standard check in on-station as well as on-farm conditions of Bangladesh following randomized complete block (RCB) design with three replications in wet (T. Aman) season. IR82589-B-B-84-3 was developed as a drought-tolerant rice variety BRRI dhan71, which plant height 108 cm and growth duration 115 days after proper evaluation by National Seed Board (NSB) Bangladesh. It was found that this variety is the higher drought tolerance (up to 28 days) during reproductive stage. It can produce 5.5 t/ha grain yield in standard condition and 4.0 t/ha grain yield in medium drought condition but 3.0-3.5 t/ha grain yield in severe drought condition. Grain yield is also not affected by water scarcity during reproductive stage where parch water table depth is more than 70-80 cm from the surface and reduced soil moisture (<20%). Thousand grain weight of the variety is 24 gm, amylose content is 24%. It has long, erect and deep green colored flag leaf. The results indicated that farmers can maximize net profit by cultivating BRRI dhan71 because it required less input, early maturing than existing varieties, drought tolerant and they also get opportunity to cultivate Mustard, Barley, Potato and vegetables after harvesting it. Thus total productivity will be augmented and food security can also be sustained by the cultivation of BRRI dhan71.


2004 ◽  
Vol 135 (1) ◽  
pp. 384-399 ◽  
Author(s):  
Jonaliza C. Lanceras ◽  
Grienggrai Pantuwan ◽  
Boonrat Jongdee ◽  
Theerayut Toojinda

2019 ◽  
Vol 99 (6) ◽  
pp. 801-814 ◽  
Author(s):  
Mueen Alam Khan ◽  
Fei Tong ◽  
Wubin Wang ◽  
Jianbo He ◽  
Tuanjie Zhao ◽  
...  

Soybean crops face drought as one of their major yield barriers. Dissecting the complete genetic architecture of drought tolerance (DT) is an ongoing challenge for soybean breeders. A half-sib population with 404 lines consisting of two recombinant inbred line (RIL) populations with M8206 as the joint parent (M8206 × TongShan and ZhengYang × M8206) was established and tested for their DT under sand culture. The population was sequenced using RAD-seq (restriction-site-associated DNA sequencing) filtered with minor allele frequency (MAF) ≥ 0.01, and 55 936 single nucleotide polymorphisms (SNPs) were obtained and organized into 6137 SNPLDBs (SNP linkage disequilibrium blocks). The innovative RTM-GWAS (restricted two stage multi-locus genome-wide association study) identified 46 novel QTLs with 107 alleles on an average of 38.67% of the phenotypic variance (PV) collectively for relative plant length (RPL) and relative plant dry weight (RPDW). The identified quantitative trait loci (QTLs) with their corresponding alleles for RPL and RPDW were structured into QTL-allele matrices, showing the DT genetic architecture of the three parents and half-sib population. From the matrices, the possible best genotype was predicted to have their weighted average value (WAV) over two indicators 1.663, while the top 10 optimal crosses among RILs with 95thpercentile WAV was 0.872–0.960, transgressive over the parents (0.469–0.675) but much less than 1.663, depicting further pyramiding potential. From the detected QTL-allele system, 63 potential candidate genes collectively for both RPL and RPDW indicators explaining on average of 26.94% PV were annotated and χ2-tested as a DT potential candidate gene system involving nine biological processes, endorsing the genetic complexity of DT.


Genes ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 533 ◽  
Author(s):  
Samar G. Thabet ◽  
Yasser S. Moursi ◽  
Mohamed A. Karam ◽  
Andreas Börner ◽  
Ahmad M. Alqudah

Drought stress can occur at any growth stage and can affect crop productivity, which can result in large yield losses all over the world. In this respect, understanding the genetic architecture of agronomic traits under drought stress is essential for increasing crop yield potential and harvest. Barley is considered the most abiotic stress-tolerant cereal, particularly with respect to drought. In the present study, worldwide spring barley accessions were exposed to drought stress beginning from the early reproductive stage with 35% field capacity under field conditions. Drought stress had significantly reduced the agronomic and yield-related traits such as spike length, awn length, spikelet per spike, grains per spike and thousand kernel weight. To unravel the genetic factors underlying drought tolerance at the early reproductive stage, genome-wide association scan (GWAS) was performed using 121 spring barley accessions and a 9K single nucleotide polymorphisms (SNPs) chip. A total number of 101 significant SNPs, distributed over all seven barley chromosomes, were found to be highly associated with the studied traits, of which five genomic regions were associated with candidate genes at chromosomes 2 and 3. On chromosome 2H, the region between 6469300693-647258342 bp includes two candidate drought-specific genes (HORVU2Hr1G091030 and HORVU2Hr1G091170), which are highly associated with spikelet and final grain number per spike under drought stress conditions. Interestingly, the gene expression profile shows that the candidate genes were highly expressed in spikelet, grain, spike and leaf organs, demonstrating their pivotal role in drought tolerance. To the best of our knowledge, we reported the first detailed study that used GWAS with bioinformatic analyses to define the causative alleles and putative candidate genes underlying grain yield-related traits under field drought conditions in diverse barley germplasm. The identified alleles and candidate genes represent valuable resources for future functional characterization towards the enhancement of barley cultivars for drought tolerance.


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