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Montesinos-López, Osval A.
192
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1
E-Commerce And Consumer Habits During The COVID-19 Pandemic..:
Béjar-Tinoco, Víctor
;
Valenzo-Jiménez, Marco
;
Madrigal-Moreno, Flor
..
https://revistas.unal.edu.co/index.php/innovar/article/view/104665/84781. , 2022
Link:
https://revistas.unal.ed..
?
2
Dataset to accompany genomics combined with UAS data enhanc..:
Montesinos-López, Osval
;
Herr, Andrew
;
Crossa, Jose
.
doi:10.7273/000004567. , 2022
Link:
https://doi.org/10.7273/..
?
3
Análisis de validez de constructo y confiabilidad de dos in..:
Mata-López, Walter A
;
Juárez-Hernández, Luis G
;
Tobón, Sergio
.
https://revistas.uned.es/index.php/reop/article/view/31278/23714. , 2021
Link:
https://revistas.uned.es..
?
4
Multi-trait genomic-enabled prediction enhances accuracy in..:
Montesinos-López, Abelardo
;
Runcie, Daniel E
;
Ibba, Maria Itria
...
qt61d27721. , 2021
Link:
https://escholarship.org..
?
5
Benchmarking between item based collaborative filtering alg..:
Montesinos-López, Osval A
;
Franco-Pérez, Emeterio
;
Luna-Vázquez, Francisco J
...
https://biotecnia.unison.mx/index.php/biotecnia/article/view/1255/393. , 2020
Link:
https://biotecnia.unison..
?
6
Benchmarking between item based collaborative filtering alg..:
Montesinos-López, Osval A
;
Franco-Pérez, Emeterio
;
Luna-Vázquez, Francisco J
...
10.18633/biotecnia.v22i2.1255. , 2020
Link:
http://www.scielo.org.mx..
?
7
Approximate genome-based kernel models for large data sets ..:
Cuevas, Jaime
;
Montesinos-Lopez, Osval A
;
Martini, J.W.R
...
https://www.frontiersin.org/articles/10.3389/fgene.2020.567757/full. , 2020
Link:
https://hdl.handle.net/1..
?
8
Benchmarking between item based collaborative filtering alg..:
Montesinos-López, Osval A
;
Franco-Pérez, Emeterio
;
Luna-Vázquez, Francisco J
...
https://biotecnia.unison.mx/index.php/biotecnia/article/view/1255/393. , 2020
Link:
https://biotecnia.unison..
?
9
An R Package for Bayesian Analysis of Multi-environment and..:
Montesinos-Lopez, Osval A
;
Montesinos-Lopez, Abelardo
;
Luna-Vazquez, Francisco Javier
...
Norges forskningsråd: 267806 (FFL og JA). , 2019
Link:
https://hdl.handle.net/1..
?
10
A Bayesian Multiple-Trait and Multiple-Environment Model Us..:
Montesinos-López, Osval A
https://openresearchlibrary.org/viewer/a83e3be8-b562-4aff-9e54-4a4ce7217eb9. , 2018
Link:
https://openresearchlibr..
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11
Prediction of Multiple-Trait and Multiple-Environment Genom..:
Montesinos-López, Osval A
;
Montesinos-López, Abelardo
;
Crossa, José
...
G3: Genes, Genomes, Genetics. , 2018
Link:
https://aaltodoc.aalto.f..
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12
A Bayesian Multiple-Trait and Multiple-Environment Model Us..:
Montesinos-López, Osval A
;
Montesinos-López, Abelardo
;
Montesinos-López, José Cricelio
...
ISBN:978-1-78923-748-1. , 2017
Link:
https://mts.intechopen.c..
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13
Predicting grain yield using canopy hyperspectral reflectan..:
Montesinos-López, Osval
;
Montesinos-López, Abelardo
;
Crossa, José
...
http://www.plantmethods.com/content/13/1/4. , 2017
Link:
http://www.plantmethods...
?
14
Genomic selection in plant breeding: Key factors shaping tw..:
Alemu, Admas
;
Åstrand, Johanna
;
Montesinos-López, Osval Antonio
...
#PLACEHOLDER_PARENT_METADATA_VALUE#. , 2024
Link:
http://hdl.handle.net/10..
?
15
Enviromic-based kernels may optimize resource allocation wi..:
Gevartosky, Raysa
;
Carvalho, H.F
;
Costa-Neto, Germano
...
Centro de Biotecnología y Genómica de Plantas (CBGP). , 2023
Link:
http://hdl.handle.net/10..
1-15