Multispectral and thermal infrared data, visual scores for severity of common rust symptoms, and genotypic single nucleotide polymorphism data of three F2-derived biparental doubled-haploid maize populations.

Abstract

Three F2-derived biparental doubled haploid (DH) maize populations were generated for genetic mapping of resistance to common rust. Each of the three populations has the same susceptible parent, but a different resistance donor parent. Population 1 and 3 consist of 320 lines each, population 2 consists of 260 lines. The DH lines were evaluated for their susceptibility to common rust in two years and with two replications in each year. For phenotyping, a visual score (VS) for susceptibility was assigned. Additionally, unmanned aerial vehicle (UAV) derived multispectral and thermal infrared data was recorded and combined in different vegetation indices ("remote sensing", RS). The DH lines were genotyped with the DarTseq method, to obtain data on single nucleotide polymorphisms (SNPs). After quality control, 9051 markers remained. Missing values were "imputed" by the empirical mean of the marker scores of the respective locus. We used the data for comparison of genome-wide association studies and genomic prediction when based on different phenotyping methods, that is either VS or RS data. The data may be interesting for reuse for instance for benchmarking genomic prediction models, for phytopathological studies addressing common rust, or for specifications of vegetation indices.

Plant phenotyping relevance

トウモロコシのさび病抵抗性を対象に、UAVマルチスペクトル・熱赤外データから植物状態を評価し、目視評価との比較や再利用可能なデータセットとして提示しており、表現型取得法が中心的です。

Code and data availability

The paper deposits its own phenotype data (visual scores, UAV multispectral/thermal remote-sensing vegetation indices) and imputed SNP genotypes for three maize DH populations in the CIMMYT Research Data & Software Repository Network, with a direct public URL (hdl:11529/10548898). This is a paper-specific, publicly res