Bibliographic Details
| Title: |
Traditional and Conditional QTL Analysis of Kernel Size- and Shape-Related Traits in Wheat (Triticum aestivum L.) |
| Authors: |
Xiaoli Fan, Xiaofeng Liu, Shaodan Guo, Bo Feng, Qiang Zhou, Guangbing Deng, Hai Long, Zhibin Xu, Tao Wang |
| Source: |
Agriculture, Vol 12, Iss 10, p 1718 (2022) |
| Publisher Information: |
MDPI AG, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Agriculture (General) |
| Subject Terms: |
kernel size, kernel shape, conditional QTL, thousand-kernel weight, MAS, Agriculture (General), S1-972 |
| More Details: |
Optimal kernel size and shape were critical in improving the wheat yield potential and processing quality. A traditional and conditional QTL analysis for kernel-related traits was performed using 152 recombinant inbred lines derived from a cross between Zhongkemai 138 (ZKM138) and Kechengmai 2, whose kernel size showed significant differences. A total of 48 traditional QTLs (LOD: 3.69–14.20) were identified, with twenty-six QTLs distributed across five genomic regions. Each had at least one major stable QTL for kernel-related traits. We deduced from the co-location and conditional QTL analysis results that R3D and R4B.1 primarily controlled kernel shape, while R4D, R6A, and R6D2 primarily contributed to kernel size and the final thousand-kernel weight, potentially providing the genetic basis for the ZKM138’s high TKW and large-kernel performance. R4D may be involved with Rht2, and the possible regulatory effects of the other four QTL clusters are more likely to be influenced by unknown genes. The KASP markers validated their effect on kernel-related traits, and they were used to analyze the transmissibility and distribution of superior genotypes in ZKM138 derivatives and global wheat cultivars, respectively. These findings may serve as a reference for future genetic improvement of the ideal kernel morphology. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2077-0472 |
| Relation: |
https://www.mdpi.com/2077-0472/12/10/1718; https://doaj.org/toc/2077-0472 |
| DOI: |
10.3390/agriculture12101718 |
| Access URL: |
https://doaj.org/article/15b4f163596143e18a3b204f238f3027 |
| Accession Number: |
edsdoj.15b4f163596143e18a3b204f238f3027 |
| Database: |
Directory of Open Access Journals |
