A Bayesian random regression method using mixture priors for genome‐enabled analysis of time‐series high‐throughput phenotyping data
Abstract The recent advancement in image‐based phenotyping platforms enables the acquisition of large‐scale nondestructive crop phenotypes measured at frequent intervals. To further understand the underlying genetic basis over a physiological process and improve plant breeding programs, the question...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-09-01
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| Series: | The Plant Genome |
| Online Access: | https://doi.org/10.1002/tpg2.20228 |