Modeling multiple phenotypes in wheat using data‐driven genomic exploratory factor analysis and Bayesian network learning
Abstract Inferring trait networks from a large volume of genetically correlated diverse phenotypes such as yield, architecture, and disease resistance can provide information on the manner in which complex phenotypes are interrelated. However, studies on statistical methods tailored to multidimensio...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Plant Direct |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/pld3.304 |