scholarly journals Population structure and association analysis of yield and grain quality traits in hybrid rice primal parental lines

Euphytica ◽  
2016 ◽  
Vol 212 (2) ◽  
pp. 261-273 ◽  
Author(s):  
Yingheng Wang ◽  
Yanmei Zheng ◽  
Qiuhua Cai ◽  
Changjian Liao ◽  
Xiaohui Mao ◽  
...  
2015 ◽  
Vol 75 (4) ◽  
pp. 506
Author(s):  
Harendra Verma ◽  
K. Pathak ◽  
S. Rathi ◽  
R. N. Sarma

2019 ◽  
Vol 56 (03) ◽  
pp. 567-576
Author(s):  
Galal Anis

Development of new rice hybrids with high-yielding and superior in grain quality is the most important goal to enhance food security as well as to achieve consumer requirements. High seed costs and poor grain quality are the major limiting factors for adoption of hybrid rice. A practical way to improve hybrid seed quality and to increase production is possible to increase the seed setting rate through improving the floral traits for parental lines. In the context, the study was conducted at the Rice Farm and Laboratories of Sakha Agricultural Research Station, Sakha, Kafr El-Sheikh, Egypt in consecutive three rice growing seasons in 2015, 2016 and 2017. The study focused mainly on characterization of the new promising hybrid ‘G46A/GZ9399R’ and its parental lines. The cytoplasmic male sterile (CMS) line and restorer line were evaluated for twenty-three floral traits that influence outcrossing rate in hybrid rice under two seasons and there was a marked stability for most of these traits. As compared with commercial check variety ‘Giza 178’, the new promising hybrid ‘G46A/GZ9399R’ showed its superiority in all agro-morphological traits except plant height. This hybrid was very early, adapted widely and recorded 20.19% more yield than commercial check variety ‘Giza 178’. Instead, this hybrid produced superiority in all grain quality properties except grain length was medium grain and amylose content was equal for both studied genotypes compared to the check variety. In parallel, the assessment of genetic purity established the SSR markers RM154, RM331, and RM297, amplified alleles specific to differentiate parental lines of hybrid ‘G46A/GZ9399R’.


2008 ◽  
Vol 34 (7) ◽  
pp. 1169-1178
Author(s):  
WEN Zi-Xiang ◽  
ZHAO Tuan-Jie ◽  
ZHENG Yong-Zhan ◽  
LIU Shun-Hu ◽  
WANG Chun-E ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Yan Peng ◽  
Bigang Mao ◽  
Changquan Zhang ◽  
Ye Shao ◽  
Tianhao Wu ◽  
...  

2019 ◽  
Vol 12 (1) ◽  
pp. 170085 ◽  
Author(s):  
Trevis D. Huggins ◽  
Ming‐Hsuan Chen ◽  
Robert G. Fjellstrom ◽  
Aaron K. Jackson ◽  
Anna M. McClung ◽  
...  

BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Moaz S. Eltahawy ◽  
Nour Ali ◽  
Imdad U. Zaid ◽  
Dalu Li ◽  
Dina Abdulmajid ◽  
...  

Abstract Background The general combining ability (GCA) of parents in hybrid rice affects not only heterotic level of grain yield and other important agronomic traits, but also performance of grain quality traits of F2 bulk population which is the commodity consumed by humans. In order to make GCA improvement for quality traits in parents of hybrid rice by molecular marker assisted selection feasible, genome-wide GCA loci for quality traits in parents were detected through association analysis between the effects of GCA and constructed single nucleotide polymorphism linkage disequilibrium blocks (SNPLDBs), by using unhusked rice grains harvested from F1 plants of 48 crosses of Indica rice and 78 crosses of Japonica rice. GCA-SNPLDBs association analysis. Results Among the 8 CMS and 6 restorer lines of indica rice subspecies, CMS lines Zhenpin A, Zhenshan97 A, and 257A, and restorers Kanghui98, Minghui63 and Yanhui559 were recognized as good general combiners based on their GCA effect values for the 9 quality traits (brown rice rate, milled rice rate, head rice rate, percentage of chalky grains, chalky area size, chalkiness degree, gelatinization temperature, gel consistency and amylose content). Among the 13 CMS and 6 restorer lines of japonica rice subspecies, CMS 863A, 6427A and Xu 2A, and restorers C418, Ninghui8hao and Yunhui4hao showed elite GCA effect values for the 9 traits. GCA-SNPLDB association analysis revealed 39 significant SNPLDB loci associated with the GCA of the 9 quality-related traits, and the numbers of SNPLDB loci located on chromosome 1, 2, 3, 4, 5, 8, 9, 11 and 12 were 1, 4, 3, 9, 6, 5, 5, 4 and 2, respectively. Number of superior GCA alleles for the 9 traits among the 33 parents ranged from 1 to 26. Conclusions Thirty-nine significant SNPLDBs loci were identified associated with the GCA of 9 quality-related traits, and the superior SNPLDB alleles could be used to improve the GCA of parents for the traits in the future by molecular marker assisted selection. The genetic basis of trait GCA in parents is different from that of trait itself.


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