Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks

The development of crop varieties with stable performance in future environmental conditions represents a critical challenge in the context of climate change. Environmental data collected at the field level, such as soil and climatic information, can be relevant to improve predictive ability in geno...

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Principais autores:	Cathy C. Westhues, Gregory S. Mahone, Sofia da Silva, Patrick Thorwarth, Malthe Schmidt, Jan-Christoph Richter, Henner Simianer, Timothy M. Beissinger
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2021-11-01
coleção:	Frontiers in Plant Science
Assuntos:	machine learning genotype-by-environment interactions gradient boosting maize yield genomic prediction
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fpls.2021.699589/full
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