| Autor: |
Salvatore Esposito, Francesca Taranto, Paolo Vitale, Donatella Bianca Maria Ficco, Salvatore Antonio Colecchia, Piergiorgio Stevanato, Pasquale De Vita |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
BMC Plant Biology, Vol 22, Iss 1, Pp 1-19 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2229 |
| DOI: |
10.1186/s12870-022-03900-6 |
| Popis: |
Abstract Background Rapid reductions in emissions from fossil fuel burning are needed to curb global climate change. Biofuel production from crop residues can contribute to reducing the energy crisis and environmental deterioration. Wheat is a renewable source for biofuels owing to the low cost and high availability of its residues. Thus, identifying candidate genes controlling these traits is pivotal for efficient biofuel production. Here, six multi-locus genome-wide association (ML-GWAS) models were applied using 185 tetraploid wheat accessions to detect quantitative trait nucleotides (QTNs) for fifteen traits associated with biomass composition. Results Among the 470 QTNs, only 72 identified by at least two models were considered as reliable. Among these latter, 16 also showed a significant effect on the corresponding trait (p.value |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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