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
Keyword(s):  
Interaction Effects ◽  
Yield Component ◽  
Environment Interaction ◽  
Substitution Lines ◽  
Single Segment ◽  
Single Segment Substitution Lines ◽  
Component Traits ◽  
Yield Component Traits ◽  
Segment Substitution

Mapping of QTLs for Grain Shape Using Chromosome Single Segment Substitution Lines in Rice (Oryza sativaL.)

2013 ◽  
Vol 39 (4) ◽  
pp. 617
Author(s):  
Jun WANG ◽  
Jin-Yan ZHU ◽  
Yong ZHOU ◽  
Jie YANG ◽  
Fang-Jun FAN ◽  
...  
Keyword(s):  
Grain Shape ◽  
Substitution Lines ◽  
Single Segment ◽  
Single Segment Substitution Lines ◽  
Segment Substitution

scholarly journals Evaluating Genotype × Environment Interactions of Yield Traits and Adaptability in Rice Cultivars Grown under Temperate, Subtropical and Tropical Environments

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 558
Author(s):  
Xing Huang ◽  
Su Jang ◽  
Backki Kim ◽  
Zhongze Piao ◽  
Edilberto Redona ◽  
...  
Keyword(s):  
Yield Component ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Accurate Identification ◽  
Rice Varieties ◽  
Panicle Number ◽  
Tropical Conditions ◽  
Component Traits ◽  
Yield Component Traits

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.

Dynamic expression of nine QTLs for tiller number detected with single segment substitution lines in rice

2008 ◽  
Vol 118 (3) ◽  
pp. 443-453 ◽  
Author(s):  
Guifu Liu ◽  
Ruizhen Zeng ◽  
Haitao Zhu ◽  
Zemin Zhang ◽  
Xiaohua Ding ◽  
...  
Keyword(s):  
Tiller Number ◽  
Substitution Lines ◽  
Single Segment ◽  
Single Segment Substitution Lines ◽  
Dynamic Expression ◽  
Segment Substitution
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