Quantitative Trait Locus (QTL) Mapping for Common Wheat Plant Heights Based on Unmanned Aerial Vehicle Images

نویسندگان

چکیده

The application of unmanned aerial vehicle (UAV) remote sensing technology for high-throughput acquisition phenotypic values field plant height is great significance in monitoring wheat varieties (lines). Based on the UAV, mounted with high-resolution digital cameras, a low-altitude platform was built to obtain images Berkut/Worrakatta recombinant inbred lines (RIL) population (297 lines). optimal surface model (DSM) extraction constructed by combining actual heights measured field. Using 50K SNP chip, quantitative trait locus (QTL) analysis performed RIL using UAV data detect related height. We verified effectiveness QTL data. results DSM method showed that models during entire growth period had highly significant correlation (p < 0.001); correlated predicted height, prediction accuracy R2 = 0.7527 and verification 0.8214. conducted manually UAV-measured traits. For phenotypes, one detected chromosome 6A explained 13.12% variation. also 9.62% QPH.xjau-6A 6A, which featured two measurement methods, stable locus, indicating mapping obtained were good agreement those extracted values. Three candidate genes screened: they encode protein kinase, NAC domain protein, cytochrome P450, respectively. Therefore, this study provided reference information phenotype breeding future.

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ژورنال

عنوان ژورنال: Agronomy

سال: 2023

ISSN: ['2156-3276', '0065-4663']

DOI: https://doi.org/10.3390/agronomy13082088