
Integrating predictive models and GWAS to identify candidate loci and genes for agronomic traits in rice
<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxQY1FzWlR1WHZyMGZaSWM1MFg0ZHRiOFpVY3YxSFdkWF9kTmRDVGtadEdUMDdyWmJHOTJ6Um1XQVhjMVdSTmlmd3hUdHJkMWphVUlTQVFkRHBDdmxTZ0ItVGppTFVkbUFabUNxclRyQ0FWZnB3SG5OYXBIbnk5dTNhaEUyWmYwY0VvQzdBNHVJcmN3bFFO?oc=5" target="_blank">Integrating predictive models and GWAS to identify candidate loci and genes for agronomic traits in rice</a>&nbsp;&nbsp;<font color="#6f6f6f">Frontiers</font>

