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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

D. Jarquín

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2 papers indexed here

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Open access Sep 2026

Improving grain yield prediction in Southern US oat germplasm using genomics information and environmental covariates

Abstract Genetic gains of oat (Avena sativa L.) grain yield have been historically low compared to other major cereal crops. The use of machine learning models to capture complex interactions and leveraging data types other than genomic information in prediction models has great potential for improving complex traits i...

Samuel A. Adewale, M. A. Babar, D. Jarquín et al. · 0 citations
Open access Sep 2026

Non-linear kernel methods for genomic prediction of soybean yield and quality in multi-environment trials

Nonlinear kernels improve the accuracy of genomic prediction while preserving the inferential framework of quantitative genetics. Improving the predictive accuracy of genomic prediction (GP) for complex genetic architectures involving non-additive effects and genotype-by-environment interactions (GEI) requires alternat...

Wanessa Alves Lima Paiva, W. G. da Costa, Leandro Pacheco Machado et al. · 0 citations

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