[HTML][HTML] Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding

W Yang, T Guo, J Luo, R Zhang, J Zhao, ML Warburton… - Genome Biology, 2022 - Springer
Genomic prediction in crop breeding is hindered by modeling on limited phenotypic traits.
We propose an integrative multi-trait breeding strategy via machine learning algorithm …

[PDF][PDF] Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding

W Yang, T Guo, J Luo, R Zhang, J Zhao, ML Warburton… - 2022 - researchgate.net
Background The likelihood of reduced yields of major food crops due to the changing
climate continues to rise, as does the global population, thus making the development of …

Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding

W Yang, T Guo, J Luo, R Zhang, J Zhao… - Genome …, 2022 - pubmed.ncbi.nlm.nih.gov
Genomic prediction in crop breeding is hindered by modeling on limited phenotypic traits.
We propose an integrative multi-trait breeding strategy via machine learning algorithm …

Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding

W Yang, T Guo, J Luo, R Zhang, J Zhao, ML Warburton… - 2022 - agris.fao.org
Genomic prediction in crop breeding is hindered by modeling on limited phenotypic traits.
We propose an integrative multi-trait breeding strategy via machine learning algorithm …

Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding

W Yang, T Guo, J Luo, R Zhang, J Zhao… - Genome …, 2022 - ars.usda.gov
New ways of doing plant breeding are letting people create new, higher yielding and stress-
resistant cultivars in less time. There is so much new information available to breeders now …

Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding.

W Yang, T Guo, J Luo, R Zhang, J Zhao, ML Warburton… - 2022 - cabidigitallibrary.org
Genomic prediction in crop breeding is hindered by modeling on limited phenotypic traits.
We propose an integrative multi-trait breeding strategy via machine learning algorithm …

[HTML][HTML] Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding

W Yang, T Guo, J Luo, R Zhang, J Zhao… - Genome …, 2022 - ncbi.nlm.nih.gov
Genomic prediction in crop breeding is hindered by modeling on limited phenotypic traits.
We propose an integrative multi-trait breeding strategy via machine learning algorithm …

[PDF][PDF] Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding

W Yang, T Guo, J Luo, R Zhang, J Zhao, ML Warburton… - 2022 - jingyunluo.github.io
Background The likelihood of reduced yields of major food crops due to the changing
climate continues to rise, as does the global population, thus making the development of …

Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding.

W Yang, T Guo, J Luo, R Zhang, J Zhao… - Genome …, 2022 - go.gale.com
Genomic prediction in crop breeding is hindered by modeling on limited phenotypic traits.
We propose an integrative multi-trait breeding strategy via machine learning algorithm …

[HTML][HTML] Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding

W Yang, T Guo, J Luo, R Zhang… - Genome …, 2022 - genomebiology.biomedcentral.com
Genomic prediction in crop breeding is hindered by modeling on limited phenotypic traits.
We propose an integrative multi-trait breeding strategy via machine learning algorithm …