Montesinos-López OA - Search Results

1

Genomic selection in plant breeding: Key factors shaping two decades of progress.

Alemu A, Åstrand J, Montesinos-López OA, Isidro Y Sánchez J, Fernández-Gónzalez J, Tadesse W, Vetukuri RR, Carlsson AS, Ceplitis A, Crossa J, Ortiz R, Chawade A. Alemu A, et al. Among authors: montesinos lopez oa. Mol Plant. 2024 Apr 1;17(4):552-578. doi: 10.1016/j.molp.2024.03.007. Epub 2024 Mar 12. Mol Plant. 2024. PMID: 38475993 Free article. Review.

2

Deep-learning power and perspectives for genomic selection.

Montesinos-López OA, Montesinos-López A, Hernandez-Suarez CM, Barrón-López JA, Crossa J. Montesinos-López OA, et al. Plant Genome. 2021 Nov;14(3):e20122. doi: 10.1002/tpg2.20122. Epub 2021 Jul 26. Plant Genome. 2021. PMID: 34309215 Free article.

3

Using an incomplete block design to allocate lines to environments improves sparse genome-based prediction in plant breeding.

Montesinos-Lopez OA, Montesinos-Lopez A, Acosta R, Varshney RK, Bentley A, Crossa J. Montesinos-Lopez OA, et al. Plant Genome. 2022 Mar;15(1):e20194. doi: 10.1002/tpg2.20194. Epub 2022 Feb 16. Plant Genome. 2022. PMID: 35170851 Free article.

4

Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize.

Gevartosky R, Carvalho HF, Costa-Neto G, Montesinos-López OA, Crossa J, Fritsche-Neto R. Gevartosky R, et al. BMC Plant Biol. 2023 Jan 5;23(1):10. doi: 10.1186/s12870-022-03975-1. BMC Plant Biol. 2023. PMID: 36604618 Free PMC article.

5

Efficacy of plant breeding using genomic information.

Montesinos-López OA, Bentley AR, Saint Pierre C, Crespo-Herrera L, Rebollar-Ruellas L, Valladares-Celis PE, Lillemo M, Montesinos-López A, Crossa J. Montesinos-López OA, et al. Plant Genome. 2023 Jun;16(2):e20346. doi: 10.1002/tpg2.20346. Epub 2023 May 4. Plant Genome. 2023. PMID: 37139645 Free article.

6

Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring wheat.

Mróz T, Shafiee S, Crossa J, Montesinos-Lopez OA, Lillemo M. Mróz T, et al. Among authors: montesinos lopez oa. Mol Breed. 2024 Jan 15;44(1):5. doi: 10.1007/s11032-024-01449-w. eCollection 2024 Jan. Mol Breed. 2024. PMID: 38230361 Free PMC article.

7

Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper-spectral image data.

Montesinos-López A, Montesinos-López OA, Cuevas J, Mata-López WA, Burgueño J, Mondal S, Huerta J, Singh R, Autrique E, González-Pérez L, Crossa J. Montesinos-López A, et al. Plant Methods. 2017 Jul 27;13:62. doi: 10.1186/s13007-017-0212-4. eCollection 2017. Plant Methods. 2017. PMID: 28769997 Free PMC article.

8

Genomic Selection in Plant Breeding: Methods, Models, and Perspectives.

Crossa J, Pérez-Rodríguez P, Cuevas J, Montesinos-López O, Jarquín D, de Los Campos G, Burgueño J, González-Camacho JM, Pérez-Elizalde S, Beyene Y, Dreisigacker S, Singh R, Zhang X, Gowda M, Roorkiwal M, Rutkoski J, Varshney RK. Crossa J, et al. Trends Plant Sci. 2017 Nov;22(11):961-975. doi: 10.1016/j.tplants.2017.08.011. Epub 2017 Sep 28. Trends Plant Sci. 2017. PMID: 28965742 Review.

9

Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture.

Montesinos-López A, Montesinos-López OA, de Los Campos G, Crossa J, Burgueño J, Luna-Vazquez FJ. Montesinos-López A, et al. Plant Methods. 2018 Jun 11;14:46. doi: 10.1186/s13007-018-0314-7. eCollection 2018. Plant Methods. 2018. PMID: 29991959 Free PMC article.

10

Automated Machine Learning: A Case Study of Genomic "Image-Based" Prediction in Maize Hybrids.

Galli G, Sabadin F, Yassue RM, Galves C, Carvalho HF, Crossa J, Montesinos-López OA, Fritsche-Neto R. Galli G, et al. Front Plant Sci. 2022 Mar 7;13:845524. doi: 10.3389/fpls.2022.845524. eCollection 2022. Front Plant Sci. 2022. PMID: 35321444 Free PMC article.

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