Johannes W R Martini
Overview
Explore the profile of Johannes W R Martini including associated specialties, affiliations and a list of published articles.
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Articles
35
Citations
392
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0
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Recent Articles
1.
Crossa J, Martini J, Vitale P, Perez-Rodriguez P, Costa-Neto G, Fritsche-Neto R, et al.
Trends Plant Sci
. 2025 Jan;
PMID: 39890501
With growing evidence that genomic selection (GS) improves genetic gains in plant breeding, it is timely to review the key factors that improve its efficiency. In this feature review, we...
2.
Crossa J, Montesinos-Lopez O, Costa-Neto G, Vitale P, Martini J, Runcie D, et al.
Trends Plant Sci
. 2024 Oct;
30(2):167-184.
PMID: 39462718
Statistical machine learning (ML) extracts patterns from extensive genomic, phenotypic, and environmental data. ML algorithms automatically identify relevant features and use cross-validation to ensure robust models and improve prediction reliability...
3.
Dreisigacker S, Martini J, Cuevas J, Perez-Rodriguez P, Lozano-Ramirez N, Huerta J, et al.
Plant Genome
. 2024 May;
17(2):e20464.
PMID: 38764312
Bread wheat (Triticum aestivum L.) is a globally important food crop, which was domesticated about 8-10,000 years ago. Bread wheat is an allopolyploid, and it evolved from two hybridization events...
4.
Loladze A, Rodrigues Jr F, Petroli C, Munoz-Zavala C, Naranjo S, San Vicente F, et al.
Data Brief
. 2024 Apr;
54:110300.
PMID: 38586147
Three F2-derived biparental doubled haploid (DH) maize populations were generated for genetic mapping of resistance to common rust. Each of the three populations has the same susceptible parent, but a...
5.
Cuevas J, Gonzalez-Dieguez D, Dreisigacker S, Martini J, Crespo-Herrera L, Lozano-Ramirez N, et al.
Genes (Basel)
. 2024 Mar;
15(3).
PMID: 38540321
Common wheat () is a hexaploid crop comprising three diploid sub-genomes labeled A, B, and D. The objective of this study is to investigate whether there is a discernible influence...
6.
Use of remote sensing for linkage mapping and genomic prediction for common rust resistance in maize
Loladze A, Rodrigues Jr F, Petroli C, Munoz-Zavala C, Naranjo S, San Vicente F, et al.
Field Crops Res
. 2024 Mar;
308:109281.
PMID: 38495466
Breeding for disease resistance is a central component of strategies implemented to mitigate biotic stress impacts on crop yield. Conventionally, genotypes of a plant population are evaluated through a labor-intensive...
7.
Martini J, Hearne S, Gardunia B, Wimmer V, Toledo F
Front Plant Sci
. 2022 Jun;
13:890434.
PMID: 35693181
No abstract available.
8.
Martini J, Gao N, Crossa J
Methods Mol Biol
. 2022 Apr;
2467:341-357.
PMID: 35451782
In this chapter, we discuss the motivation for integrating other types of omics data into genomic prediction methods. We give an overview of literature investigating the performance of omics-enhanced predictions,...
9.
Crossa J, Montesinos-Lopez O, Perez-Rodriguez P, Costa-Neto G, Fritsche-Neto R, Ortiz R, et al.
Methods Mol Biol
. 2022 Apr;
2467:245-283.
PMID: 35451779
Genomic-enabled prediction models are of paramount importance for the successful implementation of genomic selection (GS) based on breeding values. As opposed to animal breeding, plant breeding includes extensive multienvironment and...
10.
Gholami M, Wimmer V, Sansaloni C, Petroli C, Hearne S, Covarrubias-Pazaran G, et al.
Front Plant Sci
. 2021 Dec;
12:728567.
PMID: 34868114
No abstract available.