Using hyperspectral analysis as a potential high throughput phenotyping tool in GWAS for protein content of rice quality.

ABSTRACT:

Background

The advances of hyperspectral technology provide a new analytic means to decrease the gap of phenomics and genomics caused by the fast development of plant genomics with the next generation sequencing technology. Through hyperspectral technology, it is possible to phenotype the biochemical attributes of rice seeds and use the data for GWAS.

Results

The results of correlation analysis indicated that Normalized Difference Spectral Index (NDSI) had high correlation with protein content (PC) with R_NDSI ² = 0.68. Based on GWAS analysis using all the traits, NDSI was able to identify the same SNP loci as rice protein content that was measured by traditional methods. In total, hyperspectral trait NDSI identified all the 43 genes that were identified

SUBMITTER: Sun D 

PROVIDER: S-EPMC6532189 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature