Lorena González-Pérez

Author

Centro Internacional de Mejoramiento de Maíz Y Trigo ORCID

Also Known As

Lorena Gonzalez Perez, Lorena González Pérez, Lorena González-Perez, Lorena González-Pérez

Publications

1.4K

Citations

H-Index

Concepts

All Affiliations

Centro Internacional de Mejoramiento de Maíz Y Trigo Kansas State University Universidad de Colima Cornell University Colegio de Postgraduados

About

Lorena González-Pérez is an author at Centro Internacional de Mejoramiento de Maíz Y Trigo specializing in engineering, botany, and agricultural economics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	147
2	Medicine	2	2	44
3	Public Health	1	1	20
4	Social Sciences	1	1	83
5	Biostatistics	1	1	28

Lorena González-Pérez

Publications

1.4K

Citations

H-Index

Page 1

	Year	Citations
Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat Jessica Rutkoski, Jesse Poland, Suchismita Mondal, G3 Genes Genomes Genetics	2016	407
Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries Atena Haghighattalab, Lorena González-Pérez, Suchismita Mondal, Plant Methods	2016	226
Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat Margaret Krause, Lorena González-Pérez, José Crossa, G3 Genes Genomes Genetics	2019	159
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data Osval A. Montesinos‐López, Abelardo Montesinos‐López, José Crossa, Plant Methods	2017	157
Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat Philomin Juliana, Osval A. Montesinos‐López, José Crossa, Theoretical and Applied Genetics	2018	108
High Throughput Field Phenotyping for Plant Height Using UAV-Based RGB Imagery in Wheat Breeding Lines: Feasibility and Validation Leonardo Volpato, Francisco Pinto, Lorena González-Pérez, Frontiers in Plant Science	2021	104
Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper-spectral image data Abelardo Montesinos‐López, Osval A. Montesinos‐López, Jaime Cuevas, Plant Methods	2017	87
Use of Hyperspectral Image Data Outperforms Vegetation Indices in Prediction of Maize Yield Fernando Aguate, Samuel Trachsel, Lorena González-Pérez, Crop Science Precision AgricultureEnvironmental MonitoringEngineeringBotanyLand Use	2017	83
Estimation of physiological genomic estimated breeding values (PGEBV) combining full hyperspectral and marker data across environments for grain yield under combined heat and drought stress in tropical maize (Zea mays L.) Samuel Trachsel, Thanda Dhliwayo, Lorena González-Pérez, PLoS ONE Plant GeneticsPrecision AgricultureEngineeringBotanyGenetics	2019	28
High-Resolution Airborne Hyperspectral Imagery for Assessing Yield, Biomass, Grain N Concentration, and N Output in Spring Wheat M.D. Raya-Sereno, Iván Ortiz‐Monasterio, María Alonso‐Ayuso, Remote Sensing Grain N ConcentrationPrecision AgricultureEnvironmental MonitoringEngineeringLand Use	2021	20

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