Zobrazeno 1 - 10
of 205
pro vyhledávání: '"Osval A Montesinos-López"'
Autor:
Abelardo Montesinos-López, Carolina Rivera, Francisco Pinto, Francisco Piñera, David Gonzalez, Mathew Reynolds, Paulino Pérez-Rodríguez, Huihui Li, Osval A Montesinos-López, Jose Crossa
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 13, Iss 5 (2023)
AbstractWhile several statistical machine learning methods have been developed and studied for assessing the genomic prediction (GP) accuracy of unobserved phenotypes in plant breeding research, few methods have linked genomics and phenomics (imaging
Externí odkaz:
https://doaj.org/article/a0074af30bcf4e2ea336757ef7343bb8
Autor:
Germano Costa-Neto, Leonardo Crespo-Herrera, Nick Fradgley, Keith Gardner, Alison R Bentley, Susanne Dreisigacker, Roberto Fritsche-Neto, Osval A Montesinos-López, Jose Crossa
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 13, Iss 2 (2022)
AbstractLinking high-throughput environmental data (enviromics) to genomic prediction (GP) is a cost-effective strategy for increasing selection intensity under genotype-by-environment interactions (G × E). This study developed a data-driven approac
Externí odkaz:
https://doaj.org/article/6cfa0cdf104a48f293f1080807e5d35d
Autor:
Abelardo Montesinos-López, Daniel E Runcie, Maria Itria Ibba, Paulino Pérez-Rodríguez, Osval A Montesinos-López, Leonardo A Crespo, Alison R Bentley, José Crossa
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 11, Iss 10 (2021)
AbstractImplementing genomic-based prediction models in genomic selection requires an understanding of the measures for evaluating prediction accuracy from different models and methods using multi-trait data. In this study, we compared prediction acc
Externí odkaz:
https://doaj.org/article/355cbe48d58b4b01b97d7d5e3bc05ff9
Autor:
Osval A. Montesinos‐López, Gloria Isabel Huerta Prado, José Cricelio Montesinos‐López, Abelardo Montesinos‐López, José Crossa
Publikováno v:
The Plant Genome, Vol 17, Iss 4, Pp n/a-n/a (2024)
Abstract Genomic selection is revolutionizing both plant and animal breeding, with its practical application depending critically on high prediction accuracy. In this study, we aimed to enhance prediction accuracy by exploring the use of graph models
Externí odkaz:
https://doaj.org/article/926293d369e143e580aaa16585f9798e
Autor:
Osval A. Montesinos-López, Abelardo Montesinos-López, David Alejandro Bernal Sandoval, Brandon Alejandro Mosqueda-Gonzalez, Marco Alberto Valenzo-Jiménez, José Crossa
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
The genomic selection (GS) methodology proposed over 20 years ago by Meuwissen et al. (Genetics, 2001) has revolutionized plant breeding. A predictive methodology that trains statistical machine learning algorithms with phenotypic and genotypic data
Externí odkaz:
https://doaj.org/article/a551e634db0a446d94dcdb109331446b
Autor:
Víctor Béjar-Tinoco, Marco Valenzo-Jiménez, Flor Madrigal-Moreno, Salvador Madrigal-Moreno, Osval A. Montesinos-López
Publikováno v:
Innovar: Revista de Ciencias Administrativas y Sociales, Vol 32, Iss 86 (2022)
En el 2020 el mundo entero tuvo que adaptarse abruptamente a una nueva realidad: la emergencia sanitaria generada por la covid-19. Las organizaciones tuvieron que reconfigurar sus estrategias de mercadotecnia a partir de los cambios que la covid-19 t
Externí odkaz:
https://doaj.org/article/46214d7e18fc435880e6e320eceabf57
Autor:
Osval A. Montesinos-López, Abelardo Montesinos-López, Kismiantini, Armando Roman-Gallardo, Keith Gardner, Morten Lillemo, Roberto Fritsche-Neto, José Crossa
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
In plant breeding, the need to improve the prediction of future seasons or new locations and/or environments, also denoted as “leave one environment out,” is of paramount importance to increase the genetic gain in breeding programs and contribute
Externí odkaz:
https://doaj.org/article/14d5e61bb48944c486d455d10e12d2f5
Autor:
Maria Itria Ibba, Jose Crossa, Osval A. Montesinos‐López, Abelardo Montesinos‐López, Philomin Juliana, Carlos Guzman, Emily Delorean, Susanne Dreisigacker, Jesse Poland
Publikováno v:
The Plant Genome, Vol 13, Iss 3, Pp n/a-n/a (2020)
Abstract Wheat quality improvement is an important objective in all wheat breeding programs. However, due to the cost, time and quantity of seed required, wheat quality is typically analyzed only in the last stages of the breeding cycle on a limited
Externí odkaz:
https://doaj.org/article/cea44eb78d014c49b9fde2316c7797a6
Autor:
Jaime Cuevas, Osval A. Montesinos-López, J. W. R. Martini, Paulino Pérez-Rodríguez, Morten Lillemo, Jose Crossa
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
The rapid development of molecular markers and sequencing technologies has made it possible to use genomic prediction (GP) and selection (GS) in animal and plant breeding. However, when the number of observations (n) is large (thousands or millions),
Externí odkaz:
https://doaj.org/article/edb4ccaffea243ea859c8aa3bdee4d7c
Autor:
Paulino Pérez‐Rodríguez, Samuel Flores‐Galarza, Humberto Vaquera‐Huerta, David Hebert del Valle‐Paniagua, Osval A. Montesinos‐López, José Crossa
Publikováno v:
The Plant Genome, Vol 13, Iss 2, Pp n/a-n/a (2020)
Abstract Linear and non‐linear models used in applications of genomic selection (GS) can fit different types of responses (e.g., continuous, ordinal, binary). In recent years, several genomic‐enabled prediction models have been developed for pred
Externí odkaz:
https://doaj.org/article/f191b33a871c4449a55b526cf25e467c