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	21.	Sparse kernel models provide optimization of training set design for genomic prediction in multiyear wheat breeding data by Lopez-Cruz, M Dreisigacker, S Crespo-Herrera, L.A Bentley, A.R Singh, R.P Poland, J.A Shrestha, S Huerta-Espino, J Velu, G JULIANA P Mondal, S Perez-Rodriguez, P Crossa, J Material type: Article Language: English Publication details: USA : John Wiley & Sons Inc., 2022 In: Plant Genome e20254 Online resources: Open Access through DSpace Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1). Place hold Log in to add tags Add to cart (remove)
	22.	Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics by Togninalli, M Xu Wang Kucera, T Shrestha, S JULIANA P Mondal, S Pinto Espinosa, F Velu, G Crespo-Herrera, L.A Huerta-Espino, J Singh, R.P Borgwardt, K Poland, J.A Material type: Article Language: English Publication details: Oxford (United Kingdom) : Oxford University Press, 2023 In: Bioinformatics v. 39, no. 6, art. btad336 Online resources: Open Access through DSpace Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1). Place hold Log in to add tags Add to cart (remove)

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