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For: Galli G, Sabadin F, Yassue RM, Galves C, Carvalho HF, Crossa J, Montesinos-López OA, Fritsche-Neto R. Automated Machine Learning: A Case Study of Genomic "Image-Based" Prediction in Maize Hybrids. Front Plant Sci 2022;13:845524. [PMID: 35321444 PMCID: PMC8936805 DOI: 10.3389/fpls.2022.845524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 02/03/2022] [Indexed: 06/14/2023]
Number Cited by Other Article(s)
1
Crossa J, Martini JWR, Vitale P, Pérez-Rodríguez P, Costa-Neto G, Fritsche-Neto R, Runcie D, Cuevas J, Toledo F, Li H, De Vita P, Gerard G, Dreisigacker S, Crespo-Herrera L, Saint Pierre C, Bentley A, Lillemo M, Ortiz R, Montesinos-López OA, Montesinos-López A. Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software. TRENDS IN PLANT SCIENCE 2025:S1360-1385(24)00345-5. [PMID: 39890501 DOI: 10.1016/j.tplants.2024.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 12/05/2024] [Accepted: 12/12/2024] [Indexed: 02/03/2025]
2
Bankin M, Tyrykin Y, Duk M, Samsonova M, Kozlov K. Modeling Chickpea Productivity with Artificial Image Objects and Convolutional Neural Network. PLANTS (BASEL, SWITZERLAND) 2024;13:2444. [PMID: 39273927 PMCID: PMC11397516 DOI: 10.3390/plants13172444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 08/23/2024] [Accepted: 08/28/2024] [Indexed: 09/15/2024]
3
Heilmann PG, Frisch M, Abbadi A, Kox T, Herzog E. Stacked ensembles on basis of parentage information can predict hybrid performance with an accuracy comparable to marker-based GBLUP. FRONTIERS IN PLANT SCIENCE 2023;14:1178902. [PMID: 37546247 PMCID: PMC10401275 DOI: 10.3389/fpls.2023.1178902] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 06/26/2023] [Indexed: 08/08/2023]
4
Guo T, Li X. Machine learning for predicting phenotype from genotype and environment. Curr Opin Biotechnol 2023;79:102853. [PMID: 36463837 DOI: 10.1016/j.copbio.2022.102853] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/01/2022] [Accepted: 11/07/2022] [Indexed: 12/03/2022]
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