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Matthew P Reynolds

Showing results (61-70 of 73) with videos related to

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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.
The New Phytologist|October 17, 2022
Enhancing crop yields through improvements in the efficiency of photosynthesis and respirationAndres Garcia, Oorbessy Gaju, Andrew F Bowerman, et al.
Plant, Cell & Environment|March 6, 2019
Predicting dark respiration rates of wheat leaves from hyperspectral reflectanceOnoriode Coast, Shahen Shah, Alexander Ivakov, et al.
Molecular Plant|March 13, 2021
An integrated framework reinstating the environmental dimension for GWAS and genomic selection in cropsXianran Li, Tingting Guo, Jinyu Wang, et al.
Journal of Experimental Botany|June 17, 2021
Harnessing translational research in wheat for climate resilienceMatthew P Reynolds, Janet M Lewis, Karim Ammar, et al.
Journal of Experimental Botany|November 16, 2024
Accounting for the impact of genotype and environment on variation in leaf respiration of wheat in Mexico and AustraliaOorbessy Gaju, Keith J Bloomfield, Anna C A Negrini, 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.
Nature Plants|July 18, 2017
The uncertainty of crop yield projections is reduced by improved temperature response functionsEnli Wang, Pierre Martre, Zhigan Zhao, et al.
Nature Plants|September 29, 2017
Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functionsEnli Wang, Pierre Martre, Zhigan Zhao, et al.
Nature Plants|August 4, 2017
Erratum: The uncertainty of crop yield projections is reduced by improved temperature response functionsEnli Wang, Pierre Martre, Zhigan Zhao, et al.
Pageof 8

Showing results (61-70 of 73) with videos related to

Sort By:
Pageof 8
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.
The New Phytologist|October 17, 2022
Enhancing crop yields through improvements in the efficiency of photosynthesis and respirationAndres Garcia, Oorbessy Gaju, Andrew F Bowerman, et al.
Plant, Cell & Environment|March 6, 2019
Predicting dark respiration rates of wheat leaves from hyperspectral reflectanceOnoriode Coast, Shahen Shah, Alexander Ivakov, et al.
Molecular Plant|March 13, 2021
An integrated framework reinstating the environmental dimension for GWAS and genomic selection in cropsXianran Li, Tingting Guo, Jinyu Wang, et al.
Journal of Experimental Botany|June 17, 2021
Harnessing translational research in wheat for climate resilienceMatthew P Reynolds, Janet M Lewis, Karim Ammar, et al.
Journal of Experimental Botany|November 16, 2024
Accounting for the impact of genotype and environment on variation in leaf respiration of wheat in Mexico and AustraliaOorbessy Gaju, Keith J Bloomfield, Anna C A Negrini, 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.
Nature Plants|July 18, 2017
The uncertainty of crop yield projections is reduced by improved temperature response functionsEnli Wang, Pierre Martre, Zhigan Zhao, et al.
Nature Plants|September 29, 2017
Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functionsEnli Wang, Pierre Martre, Zhigan Zhao, et al.
Nature Plants|August 4, 2017
Erratum: The uncertainty of crop yield projections is reduced by improved temperature response functionsEnli Wang, Pierre Martre, Zhigan Zhao, et al.
Pageof 8