Identification and utilization of genetic determinants of trait measurement errors in image-based, high-throughput phenotyping.

ABSTRACT: The accuracy of trait measurements greatly affects the quality of genetic analyses. During automated phenotyping, trait measurement errors, i.e. differences between automatically extracted trait values and ground truth, are often treated as random effects that can be controlled by increasing population sizes and/or replication number. In contrast, there is some evidence that trait measurement errors may be partially under genetic control. Consistent with this hypothesis, we observed substantial nonrandom, genetic contributions to trait measurement errors for five maize (Zea mays) tassel traits collected using an image-based phenotyping platform. The phenotyping accuracy varied according to whether a tassel exhibited "open" versus. "closed" branching architecture, which is itself under gene

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC8408462 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature