scholarly journals High-resolution mapping of the quantitative trait locus (QTLs) conferring resistance to false smut disease in rice

Author(s):  
Kumari Neelam ◽  
Kishor Kumar ◽  
Amandeep Kaur ◽  
Amit Kishore ◽  
Pavneet Kaur ◽  
...  
Genetics ◽  
2005 ◽  
Vol 171 (3) ◽  
pp. 1341-1352 ◽  
Author(s):  
Johan D. Peleman ◽  
Crispin Wye ◽  
Jan Zethof ◽  
Anker P. Sørensen ◽  
Henk Verbakel ◽  
...  

2019 ◽  
Vol 133 (1) ◽  
pp. 37-49 ◽  
Author(s):  
Nian Liu ◽  
Jianbin Guo ◽  
Xiaojing Zhou ◽  
Bei Wu ◽  
Li Huang ◽  
...  

Key message ddRAD-seq-based high-density genetic map comprising 2595 loci identified a major and consensus QTL with a linked marker in a 0.8-Mb physical interval for oil content in peanut. Abstract Enhancing oil content is an important breeding objective in peanut. High-resolution mapping of quantitative trait loci (QTLs) with linked markers could facilitate marker-assisted selection in breeding for target traits. In the present study, a recombined inbred line population (Xuhua 13 × Zhonghua 6) was used to construct a genetic map based on double-digest restriction-site-associated DNA sequencing (ddRAD-seq). The resulting high-density genetic map contained 2595 loci, and spanned a length of 2465.62 cM, with an average distance of 0.95 cM/locus. Seven QTLs for oil content were identified on five linkage groups, including the major and stable QTL qOCA08.1 on chromosome A08 with 10.14–27.19% phenotypic variation explained. The physical interval of qOCA08.1 was further delimited to a ~ 0.8-Mb genomic region where two genes affecting oil synthesis had been annotated. The marker SNPOCA08 was developed targeting the SNP loci associated with oil content and validated in peanut cultivars with diverse oil contents. The major and stable QTL identified in the present study could be further dissected for gene discovery. Furthermore, the tightly linked marker for oil content would be useful in marker-assisted breeding in peanut.


2008 ◽  
Vol 19 (1) ◽  
pp. 150-158 ◽  
Author(s):  
M. Johannesson ◽  
R. Lopez-Aumatell ◽  
P. Stridh ◽  
M. Diez ◽  
J. Tuncel ◽  
...  

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