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Matthew Reynolds

International Maize and Wheat Improvement Centre

  • International Maize and Wheat Improvement Centre

SCHOLARLY PAPERS

2

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91

TOTAL CITATIONS

0

Scholarly Papers (2)

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1.

Does vapor pressure deficit matter for wheat yield simulation under well-watered conditions?

Number of pages: 29 Posted: 07 Nov 2025
Azam Lashkari, Nieves Aparicio, Jose Luis Araus, C. Mariano Cossani, Ernesto Giron, Muhammad Adeel Hassan, Margaret R. Krause, Uttam Kumar, Carlo Montes, Francisco Pinto, Jesse Poland, Matthew Reynolds, Sara Sanjani, Kelly Thorp, Haiyan Zhang and Urs Christoph Schulthess
John Innes Centre, affiliation not provided to SSRN, University of Barcelona, South Australian Research and Development Institute, Independent Researcher, affiliation not provided to SSRN, Oregon State University, affiliation not provided to SSRN, International Maize and Wheat Improvement Centre, Wageningen University & Research, affiliation not provided to SSRN, International Maize and Wheat Improvement Centre, affiliation not provided to SSRN, USDA-ARS Arid Land Agricultural Research Center, Henan Agricultural University and International Maize and Wheat Improvement Centre
Downloads 65 (916,100)

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Temperature, Atmospheric water demand, Well-watered wheat, Wheat yield modeling, IWIN dataset.

2.

Diurnal and nocturnal leaf spectra can detect wheat physiological responses to elevated night temperatures

Number of pages: 38 Posted: 27 Apr 2026
R. Suzuky Pinto, Carlos A. Robles-Zazueta, Lorna McAusland, Francisco Pinto, Gemma Molero, Liana Acevedo Siaca, Jaime Garatuza Payan, Matthew Reynolds, Erik Murchie and Enrico A. Yépez
Instituto Tecnológico de Sonora, Hochschule Geisenheim University, University of Nottingham, Wageningen University & Research, affiliation not provided to SSRN, Wageningen University & Research, Instituto Tecnológico de Sonora, International Maize and Wheat Improvement Centre, University of Nottingham and Instituto Tecnologico de Sonora
Downloads 26 (1,399,036)

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climate change, Heat stress, hyperspectral reflectance, nighttime physiology, vegetation indices, remote sensing