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Carlos A Robles-Zazueta

Showing results (1-10 of 9) with videos related to

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The Plant Genome|November 19, 2025
Accelerating perennial crop improvement via multi-omics-based predictive breedingHannah Robinson, Carlos A Robles-Zazueta, Kai P Voss-Fels
Frontiers in Plant Science|December 20, 2021
A Deep Learning Method for Fully Automatic Stomatal Morphometry and Maximal Conductance EstimationJonathon A Gibbs, Lorna Mcausland, Carlos A Robles-Zazueta, et al.
Journal of Experimental Botany|March 13, 2021
Field-based remote sensing models predict radiation use efficiency in wheatCarlos A Robles-Zazueta, Gemma Molero, Francisco Pinto, et al.
Frontiers in Plant Science|April 28, 2022
Prediction of Photosynthetic, Biophysical, and Biochemical Traits in Wheat Canopies to Reduce the Phenotyping BottleneckCarlos A Robles-Zazueta, Francisco Pinto, Gemma Molero, et al.
The Plant Genome|July 7, 2023
Climate change impacts on crop breeding: Targeting interacting biotic and abiotic stresses for wheat improvementCarlos A Robles-Zazueta, Leonardo A Crespo-Herrera, Francisco J Piñera-Chavez, et al.
Aob PLANTS|June 27, 2025
An ecological, phenotypic, and genomic survey of duckweeds with their associated aquatic environments in the United KingdomKellie E Smith, Laura Cowan, Paulina Flis, et al.
The Plant Genome|September 4, 2025
Integration of physiological and remote sensing traits for improved genomic prediction of wheat yieldGuillermo García-Barrios, Carlos A Robles-Zazueta, Abelardo Montesinos-López, et al.
Plant Phenomics (Washington, D.C.)|December 19, 2025
The Global Wheat Full Semantic Organ Segmentation (GWFSS) datasetZijian Wang, Radek Zenkl, Latifa Greche, et al.
Global Change Biology|August 26, 2024
Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunitiesJulie King, Susanne Dreisigacker, Matthew Reynolds, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
The Plant Genome|November 19, 2025
Accelerating perennial crop improvement via multi-omics-based predictive breedingHannah Robinson, Carlos A Robles-Zazueta, Kai P Voss-Fels
Frontiers in Plant Science|December 20, 2021
A Deep Learning Method for Fully Automatic Stomatal Morphometry and Maximal Conductance EstimationJonathon A Gibbs, Lorna Mcausland, Carlos A Robles-Zazueta, et al.
Journal of Experimental Botany|March 13, 2021
Field-based remote sensing models predict radiation use efficiency in wheatCarlos A Robles-Zazueta, Gemma Molero, Francisco Pinto, et al.
Frontiers in Plant Science|April 28, 2022
Prediction of Photosynthetic, Biophysical, and Biochemical Traits in Wheat Canopies to Reduce the Phenotyping BottleneckCarlos A Robles-Zazueta, Francisco Pinto, Gemma Molero, et al.
The Plant Genome|July 7, 2023
Climate change impacts on crop breeding: Targeting interacting biotic and abiotic stresses for wheat improvementCarlos A Robles-Zazueta, Leonardo A Crespo-Herrera, Francisco J Piñera-Chavez, et al.
Aob PLANTS|June 27, 2025
An ecological, phenotypic, and genomic survey of duckweeds with their associated aquatic environments in the United KingdomKellie E Smith, Laura Cowan, Paulina Flis, et al.
The Plant Genome|September 4, 2025
Integration of physiological and remote sensing traits for improved genomic prediction of wheat yieldGuillermo García-Barrios, Carlos A Robles-Zazueta, Abelardo Montesinos-López, et al.
Plant Phenomics (Washington, D.C.)|December 19, 2025
The Global Wheat Full Semantic Organ Segmentation (GWFSS) datasetZijian Wang, Radek Zenkl, Latifa Greche, et al.
Global Change Biology|August 26, 2024
Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunitiesJulie King, Susanne Dreisigacker, Matthew Reynolds, et al.
Pageof 1