scholarly journals Quantitative Trait Loci Mapping in Brassica rapa Revealed the Structural and Functional Conservation of Genetic Loci Governing Morphological and Yield Component Traits in the A, B, and C Subgenomes of Brassica Species

DNA Research ◽  
2012 ◽  
Vol 20 (1) ◽  
pp. 1-16 ◽  
Author(s):  
X. Li ◽  
N. Ramchiary ◽  
V. Dhandapani ◽  
S. R. Choi ◽  
Y. Hur ◽  
...  
2007 ◽  
Vol 17 (5) ◽  
pp. 599-605
Author(s):  
Hyeun-Kyeung Kim ◽  
Ki-Won Oh ◽  
In-Soo Choi ◽  
Jum-Soon Kang ◽  
Young-Whan Choi ◽  
...  

Crop Science ◽  
2016 ◽  
Vol 56 (3) ◽  
pp. 942-956 ◽  
Author(s):  
Arvind H. Hirani ◽  
Jianfeng Geng ◽  
Jiefu Zhang ◽  
Carla D. Zelmer ◽  
Peter B. E. McVetty ◽  
...  

HortScience ◽  
2007 ◽  
Vol 42 (5) ◽  
pp. 1207-1211 ◽  
Author(s):  
De-Kun Dong ◽  
Jia-Shu Cao ◽  
Kai Shi ◽  
Le-Cheng Liu

To investigate the genetic basis of heterosis in Brassica rapa, an F2 population was produced from the cross of B. rapa L. subsp. chinensis (L.) Hanelt and B. rapa L. subsp. rapifera Metzg. Trait performances of the F1 hybrid showed evident mid parent heterosis, which varied from 18.55% to 101.62% for the 11 traits investigated. A total of 23 main effect quantitative trait loci (QTLs) were detected for biomass and its component traits, which could explain 4.38% to 47.80% of the phenotypic variance, respectively. Sixty-five percent of these QTLs showed obvious overdominance. Epistasis analysis detected 444 two-locus interactions for the 11 traits at the threshold of P < 0.005. Some of them remained significant when more stringent threshold were set. These results suggested that overdominance and epistasis might play an important role as the genetic basis of heterosis in B. rapa.


Euphytica ◽  
2009 ◽  
Vol 170 (1-2) ◽  
pp. 99-107 ◽  
Author(s):  
U. C. M. Anhalt ◽  
J. S. Heslop-Harrison (Pat) ◽  
H. P. Piepho ◽  
S. Byrne ◽  
S. Barth

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.


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