Detection of additive and additive×environment interaction effects of QTLs for yield-component traits of rice using single-segment substitution lines (SSSLs)

2016 ◽  
Vol 135 (4) ◽  
pp. 452-458 ◽  
Author(s):  
Fangming Zhao ◽  
Haitao Zhu ◽  
Ruizhen Zeng ◽  
Guiquan Zhang ◽  
Shizhong Xu
2013 ◽  
Vol 39 (4) ◽  
pp. 617
Author(s):  
Jun WANG ◽  
Jin-Yan ZHU ◽  
Yong ZHOU ◽  
Jie YANG ◽  
Fang-Jun FAN ◽  
...  

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 558
Author(s):  
Xing Huang ◽  
Su Jang ◽  
Backki Kim ◽  
Zhongze Piao ◽  
Edilberto Redona ◽  
...  

Rice yield is a complex trait that is strongly affected by environment and genotype × environment interaction (GEI) effects. Consideration of GEI in diverse environments facilitates the accurate identification of optimal genotypes with high yield performance, which are adaptable to specific or diverse environments. In this study, multiple environment trials were conducted to evaluate grain yield (GY) and four yield-component traits: panicle length, panicle number, spikelet number per panicle, and thousand-grain weight. Eighty-nine rice varieties were cultivated in temperate, subtropical, and tropical regions for two years. The effects of both GEI (12.4–19.6%) and environment (23.6–69.6%) significantly contributed to the variation of all yield-component traits. In addition, 37.1% of GY variation was explained by GEI, indicating that GY performance was strongly affected by the different environmental conditions. GY performance and genotype stability were evaluated using simultaneous selection indexing, and 19 desirable genotypes were identified with high productivity and broad adaptability across temperate, subtropical, and tropical conditions. These optimal genotypes could be recommended for cultivation and as elite parents for rice breeding programs to improve yield potential and general adaptability to climates.


2008 ◽  
Vol 118 (3) ◽  
pp. 443-453 ◽  
Author(s):  
Guifu Liu ◽  
Ruizhen Zeng ◽  
Haitao Zhu ◽  
Zemin Zhang ◽  
Xiaohua Ding ◽  
...  

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