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The Plant Genome|February 16, 2022
Using an incomplete block design to allocate lines to environments improves sparse genome-based prediction in plant breedingOsval Antonio Montesinos-Lopez, Abelardo Montesinos-Lopez, Ricardo Acosta, et al.
Plants (Basel, Switzerland)|February 13, 2025
Balancing Sensitivity and Specificity Enhances Top and Bottom Ranking in Genomic Prediction of CultivarsOsval A Montesinos-López, Kismiantini, Admas Alemu, et al.
Plos One|June 9, 2012
Multi-trait and multi-environment QTL analyses for resistance to wheat diseasesSukhwinder-Singh, Mateo V Hernandez, Jose Crossa, et al.
G3 (Bethesda, Md.)|July 28, 2018
BGGE: A New Package for Genomic-Enabled Prediction Incorporating Genotype × Environment Interaction ModelsItalo Granato, Jaime Cuevas, Francisco Luna-Vázquez, et al.
Foods (Basel, Switzerland)|September 28, 2021
Drought and Heat Stress Impacts on Phenolic Acids Accumulation in Durum Wheat CultivarsBarbara Laddomada, Antonio Blanco, Giovanni Mita, et al.
Frontiers in Genetics|November 16, 2020
Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and InteractionsJaime Cuevas, Osval A Montesinos-López, J W R Martini, et al.
Frontiers in Plant Science|July 15, 2021
Application of Genomic Selection at the Early Stage of Breeding Pipeline in Tropical MaizeYoseph Beyene, Manje Gowda, Paulino Pérez-Rodríguez, et al.
The Plant Genome|July 21, 2017
Increasing Genomic-Enabled Prediction Accuracy by Modeling Genotype × Environment Interactions in Kansas WheatDiego Jarquín, Cristiano Lemes da Silva, R Chris Gaynor, et al.
Applied & Translational Genomics|December 27, 2016
Wheat quality improvement at CIMMYT and the use of genomic selection on itCarlos Guzman, Roberto Javier Peña, Ravi Singh, et al.
Scientific Reports|May 20, 2020
Regularized selection indices for breeding value prediction using hyper-spectral image dataMarco Lopez-Cruz, Eric Olson, Gabriel Rovere, et al.
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