| Title |
Genetic analysis of multi-environmental spring wheat trials identifies genomic regions for locus-specific trade-offs for grain weight and grain number
|
|---|---|
| Published in |
Theoretical and Applied Genetics, December 2017
|
| DOI | 10.1007/s00122-017-3037-7 |
| Pubmed ID | |
| Authors |
Sivakumar Sukumaran, Marta Lopes, Susanne Dreisigacker, Matthew Reynolds |
| Abstract |
GWAS on multi-environment data identified genomic regions associated with trade-offs for grain weight and grain number. Grain yield (GY) can be dissected into its components thousand grain weight (TGW) and grain number (GN), but little has been achieved in assessing the trade-off between them in spring wheat. In the present study, the Wheat Association Mapping Initiative (WAMI) panel of 287 elite spring bread wheat lines was phenotyped for GY, GN, and TGW in ten environments across different wheat growing regions in Mexico, South Asia, and North Africa. The panel genotyped with the 90 K Illumina Infinitum SNP array resulted in 26,814 SNPs for genome-wide association study (GWAS). Statistical analysis of the multi-environmental data for GY, GN, and TGW observed repeatability estimates of 0.76, 0.62, and 0.95, respectively. GWAS on BLUPs of combined environment analysis identified 38 loci associated with the traits. Among them four loci-6A (85 cM), 5A (98 cM), 3B (99 cM), and 2B (96 cM)-were associated with multiple traits. The study identified two loci that showed positive association between GY and TGW, with allelic substitution effects of 4% (GY) and 1.7% (TGW) for 6A locus and 0.2% (GY) and 7.2% (TGW) for 2B locus. The locus in chromosome 6A (79-85 cM) harbored a gene TaGW2-6A. We also identified that a combination of markers associated with GY, TGW, and GN together explained higher variation for GY (32%), than the markers associated with GY alone (27%). The marker-trait associations from the present study can be used for marker-assisted selection (MAS) and to discover the underlying genes for these traits in spring wheat. |
X Demographics
The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| India | 2 | 6% |
| Mexico | 2 | 6% |
| Germany | 2 | 6% |
| Canada | 1 | 3% |
| United Kingdom | 1 | 3% |
| Kenya | 1 | 3% |
| Paraguay | 1 | 3% |
| Australia | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 15 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 52% |
| Scientists | 14 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 19% |
| Researcher | 11 | 11% |
| Student > Doctoral Student | 8 | 8% |
| Student > Bachelor | 3 | 3% |
| Other | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 42 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 48% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Arts and Humanities | 1 | 1% |
| Chemical Engineering | 1 | 1% |
| Economics, Econometrics and Finance | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 43 | 45% |
Attention Score in Context
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All research outputs
#1,544,129
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Outputs from Theoretical and Applied Genetics
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Outputs of similar age from Theoretical and Applied Genetics
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