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10 result(s) for 'author#José Crossa' within BMC

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  1. Unfortunately, in the original version [1] of this article, a funder note was missed out in the acknowledgement.

    Authors: Abelardo Montesinos-López, Osval A. Montesinos-López, Gustavo de los Campos, José Crossa, Juan Burgueño and Francisco Javier Luna-Vazquez
    Citation: Plant Methods 2018 14:57

    The original article was published in Plant Methods 2018 14:46

  2. Several conventional genomic Bayesian (or no Bayesian) prediction methods have been proposed including the standard additive genetic effect model for which the variance components are estimated with mixed mode...

    Authors: Osval Antonio Montesinos-López, Abelardo Montesinos-López, Paulino Pérez-Rodríguez, José Alberto Barrón-López, Johannes W. R. Martini, Silvia Berenice Fajardo-Flores, Laura S. Gaytan-Lugo, Pedro C. Santana-Mancilla and José Crossa
    Citation: BMC Genomics 2021 22:19
  3. Triatoma tibiamaculata is a species distributed in ten Brazilian states which has epidemiological importance as it has already been found infecting household areas. The taxonomy of this triatomine has been quite ...

    Authors: Isadora Freitas Bittinelli, Jader de Oliveira, Yago Visinho dos Reis, Amanda Ravazi, Fernanda Fernandez Madeira, Ana Beatriz Bortolozo de Oliveira, Giulia Montanari, Ana Julia Chaves Gomes, Laura Poloto Cesaretto, Isabella da Silva Massarin, Cleber Galvão, Maria Tercília Vilela de Azeredo-Oliveira, João Aristeu da Rosa and Kaio Cesar Chaboli Alevi
    Citation: Parasites & Vectors 2022 15:184
  4. Existing algorithms and methods for forming diverse core subsets currently address either allele representativeness (breeder's preference) or allele richness (taxonomist's preference). The main objective of th...

    Authors: Chris Thachuk, José Crossa, Jorge Franco, Susanne Dreisigacker, Marilyn Warburton and Guy F Davenport
    Citation: BMC Bioinformatics 2009 10:243
  5. Modern agriculture uses hyperspectral cameras that provide hundreds of reflectance data at discrete narrow bands in many environments. These bands often cover the whole visible light spectrum and part of the i...

    Authors: Abelardo Montesinos-López, Osval A. Montesinos-López, Jaime Cuevas, Walter A. Mata-López, Juan Burgueño, Sushismita Mondal, Julio Huerta, Ravi Singh, Enrique Autrique, Lorena González-Pérez and José Crossa
    Citation: Plant Methods 2017 13:62
  6. Germplasm banks maintain collections representing the most comprehensive catalogue of native genetic diversity available for crop improvement. Users of germplasm banks are interested in a fixed number of sampl...

    Authors: Jorge Franco-Duran, José Crossa, Jiafa Chen and Sarah Jane Hearne
    Citation: BMC Plant Biology 2019 19:520
  7. Modern agriculture uses hyperspectral cameras with hundreds of reflectance data at discrete narrow bands measured in several environments. Recently, Montesinos-López et al. (Plant Methods 13(4):1–23, 2017a.

    Authors: Abelardo Montesinos-López, Osval A. Montesinos-López, Gustavo de los Campos, José Crossa, Juan Burgueño and Francisco Javier Luna-Vazquez
    Citation: Plant Methods 2018 14:46

    The Correction to this article has been published in Plant Methods 2018 14:57

  8. Modern agriculture uses hyperspectral cameras to obtain hundreds of reflectance data measured at discrete narrow bands to cover the whole visible light spectrum and part of the infrared and ultraviolet light s...

    Authors: Osval A. Montesinos-López, Abelardo Montesinos-López, José Crossa, Gustavo de los Campos, Gregorio Alvarado, Mondal Suchismita, Jessica Rutkoski, Lorena González-Pérez and Juan Burgueño
    Citation: Plant Methods 2017 13:4
  9. Success in any genomic prediction platform is directly dependent on establishing a representative training set. This is a complex task, even in single-trait single-environment conditions and tends to be even m...

    Authors: Raysa Gevartosky, Humberto Fanelli Carvalho, Germano Costa-Neto, Osval A. Montesinos-López, José Crossa and Roberto Fritsche-Neto
    Citation: BMC Plant Biology 2023 23:10
  10. Multi-layer perceptron (MLP) and radial basis function neural networks (RBFNN) have been shown to be effective in genome-enabled prediction. Here, we evaluated and compared the classification performance of an...

    Authors: Juan Manuel González-Camacho, José Crossa, Paulino Pérez-Rodríguez, Leonardo Ornella and Daniel Gianola
    Citation: BMC Genomics 2016 17:208