2017
DOI: 10.21475/ajcs.17.11.03.pne252
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Association mapping for photosynthesis and yield traits under two moisture conditions and their drought indices in winter bread wheat (Triticum aestivum L.) using SSR markers

Abstract: Net photosynthesis rate and drought resistance in wheat need to be improved to enhance overall wheat productivity. Association mapping was used to explore the potential QTLs associated with net photosynthesis rate (Pn), thousand-kernel weight (TKW), biomass plant -1 (BMPP) and grain yield plant -1 (GYPP) under two water conditions and their drought indices, i.e. stress tolerance index (STI) and stress susceptibility index (SSI) in wheat using 269 whole-genome SSR markers in 59 winter wheat genotypes. Large num… Show more

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Cited by 12 publications
(7 citation statements)
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References 35 publications
(37 reference statements)
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“…There have been conflicting reports on the phenotypic variation explained by the markers (e.g., SSR, RFLP, AFLP and our results with SNP markers) for traits involved in drought stress indices. The findings reported by Saeed et al (2017) and Edae et al (2014) are consistent with the present study. On the other hand, Jaganathan et al (2015) detected one SNP associated with GY-SSI and three associated with GY-STI using GBS technology, explaining between 10 % and 13 %, respectively, of the phenotypic variation in chickpea.…”
Section: Resultssupporting
confidence: 93%
See 2 more Smart Citations
“…There have been conflicting reports on the phenotypic variation explained by the markers (e.g., SSR, RFLP, AFLP and our results with SNP markers) for traits involved in drought stress indices. The findings reported by Saeed et al (2017) and Edae et al (2014) are consistent with the present study. On the other hand, Jaganathan et al (2015) detected one SNP associated with GY-SSI and three associated with GY-STI using GBS technology, explaining between 10 % and 13 %, respectively, of the phenotypic variation in chickpea.…”
Section: Resultssupporting
confidence: 93%
“…Consistently, Mora et al (2015) reported eight SNPs over the growing seasons associated with TKW in a non-stress site (irrigated site). Interestingly, Saeed et al (2017) also detected SNPs associated with TKW-STI and GY-STI in more than one growing season in wheat. The early detection of QTL and evaluation of their stability .…”
Section: Resultsmentioning
confidence: 94%
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“…GWAS utilizes linkage disequilibrium to dissect the genetic architecture of complex traits by correlating phenotypes to genotypes [ 18 , 19 ]. It has been utilized successfully in wheat to identify QTL linked to many important agronomic traits such as flowering time, plant height, grain yield, milling quality and disease resistance [ 18 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ].…”
Section: Introductionmentioning
confidence: 99%
“…In this study, 2 markers showed stable association with different traits under both screen house conditions, notably markers 100051488|F|0-49 and 14083801|F|0-28. The detection of genomic regions associated with multiple traits across variable environments is essential in breeding crops for wide adaptation and yield stability (27).…”
Section: Discussionmentioning
confidence: 99%