Back to Search Start Over

Dissecting Genetic Network of Fruit Branch Traits in Upland Cotton by Association Mapping Using SSR Markers.

Authors :
Mei, Yongjun
Yu, Jiwen
Xue, Angli
Fan, Shuli
Song, Meizhen
Pang, Chaoyou
Pei, Wenfeng
Yu, Shuxun
Zhu, Jun
Source :
PLoS ONE; 1/25/2017, Vol. 12 Issue 1, p1-11, 11p
Publication Year :
2017

Abstract

Genetic architecture of branch traits has large influences on the morphological structure, photosynthetic capacity, planting density, and yield of Upland cotton (Gossypium hirsutum L.). This research aims to reveal the genetic effects of six branch traits, including bottom fruit branch node number (BFBNN), bottom fruit branch length (BFBL), middle fruit branch node number (MFBNN), middle fruit branch length (MFBL), upper fruit branch node number (UFBNN), and upper fruit branch length (UFBL). Association mapping was conducted for these traits of 39 lines and their 178 F<subscript>1</subscript> hybrids in three environments. There were 20 highly significant Quantitative Trait SSRs (QTSs) detected by mixed linear model approach analyzing a full genetic model with genetic effects of additive, dominance, epistasis and their environment interaction. The phenotypic variation explained by genetic effects ranged from 32.64 ~ 91.61%, suggesting these branch traits largely influenced by genetic factors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
12
Issue :
1
Database :
Complementary Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
120962145
Full Text :
https://doi.org/10.1371/journal.pone.0162815