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Methods in Molecular Biology (Clifton, N.J.)
|
April 22, 2022
Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction
José Crossa, Osval Antonio Montesinos-López, Paulino Pérez-Rodríguez, et al.
Genes
|
March 28, 2024
Data Augmentation Enhances Plant-Genomic-Enabled Predictions
Osval A Montesinos-López, Mario Alberto Solis-Camacho, Leonardo Crespo-Herrera, et al.
G3 (Bethesda, Md.)
|
August 22, 2024
Complementary approaches to dissect late leaf rust resistance in an interspecific raspberry population
Melina Prado, Allison Vieira da Silva, Gabriela Romêro Campos, et al.
Frontiers in Plant Science
|
May 30, 2024
Feature engineering of environmental covariates improves plant genomic-enabled prediction
Osval A Montesinos-López, Leonardo Crespo-Herrera, Carolina Saint Pierre, et al.
Journal of Plant Biochemistry and Biotechnology
|
May 1, 2025
Genomic prediction and QTL analysis for grain Zn content and yield in <i>Aus</i>-derived rice populations
Tapas Kumer Hore, C H Balachiranjeevi, Mary Ann Inabangan-Asilo, et al.
Trends in Plant Science
|
October 27, 2024
Machine learning algorithms translate big data into predictive breeding accuracy
José Crossa, Osval A Montesinos-Lopez, Germano Costa-Neto, et al.
Trends in Plant Science
|
January 31, 2025
Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software
José Crossa, Johannes W R Martini, Paolo Vitale, et al.
Plos One
|
September 27, 2019
Relative importance of gene effects for nitrogen-use efficiency in popcorn
Adriano Dos Santos, Antônio Teixeira do Amaral Júnior, Roberto Fritsche-Neto, et al.
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Search research articles
Search
Showing results (51-60 of 58) with videos related to
Sort By:
Page
of 6
You have reached the last page of results.
This site can display upto 58 results.
Methods in Molecular Biology (Clifton, N.J.)
|
April 22, 2022
Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction
José Crossa, Osval Antonio Montesinos-López, Paulino Pérez-Rodríguez, et al.
Genes
|
March 28, 2024
Data Augmentation Enhances Plant-Genomic-Enabled Predictions
Osval A Montesinos-López, Mario Alberto Solis-Camacho, Leonardo Crespo-Herrera, et al.
G3 (Bethesda, Md.)
|
August 22, 2024
Complementary approaches to dissect late leaf rust resistance in an interspecific raspberry population
Melina Prado, Allison Vieira da Silva, Gabriela Romêro Campos, et al.
Frontiers in Plant Science
|
May 30, 2024
Feature engineering of environmental covariates improves plant genomic-enabled prediction
Osval A Montesinos-López, Leonardo Crespo-Herrera, Carolina Saint Pierre, et al.
Journal of Plant Biochemistry and Biotechnology
|
May 1, 2025
Genomic prediction and QTL analysis for grain Zn content and yield in <i>Aus</i>-derived rice populations
Tapas Kumer Hore, C H Balachiranjeevi, Mary Ann Inabangan-Asilo, et al.
Trends in Plant Science
|
October 27, 2024
Machine learning algorithms translate big data into predictive breeding accuracy
José Crossa, Osval A Montesinos-Lopez, Germano Costa-Neto, et al.
Trends in Plant Science
|
January 31, 2025
Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software
José Crossa, Johannes W R Martini, Paolo Vitale, et al.
Plos One
|
September 27, 2019
Relative importance of gene effects for nitrogen-use efficiency in popcorn
Adriano Dos Santos, Antônio Teixeira do Amaral Júnior, Roberto Fritsche-Neto, et al.
Page
of 6