Journal
GENETICS
Volume 177, Issue 4, Pages 2433-2444Publisher
GENETICS SOCIETY AMERICA
DOI: 10.1534/genetics.107.080705
Keywords
-
Categories
Ask authors/readers for more resources
Most agronomical traits exhibit quantitative variation, which is controlled by multiple genes and are environmentally dependent. To study the genetic variation of flowering nine in Brassica napus, a DH population and its derived reconstructed F-2 population were planted in 11 field environments. The flowering time varied greatlly with environments; 60% of the phenotypic variation was attributed to genetic effects. Five to 18 QTL at a statistically significant level (SL-QTL) were detected in each environment and, on average, two new SL-QTL were discovered with each added environment. Another type of QTL, microreal QTL (MR-QTL), was detected repeatedly from at. least. 2 of the 11 environments; resulting in a total of 36 SL-QTL and 6 MR-QTL. Sixty-three interacting pairs of loci were found; 50% of them were involved in QTL Hundreds OF floral transition genes in Arabidopsis were aligned with the linkage map of B. napus by in silico mapping; 28% of them aligned with QTL regions and 9% were consistent with interacting loci. One locus, BnFLC10, in N10 and a QTL cluster in N16 were specific to spring- and winter-cropped environments respectively. The number of QTL, interacting loci, and aligned functional genes revealed a complex genetic network controlling flowering time in B. napus.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available