Temperature and Solar Radiation Effects on Potential Maize Yield across Locations
Abstract
The objective of this analysis was to use a simple, mechanistic crop growth model to examine the effects of variation in solar radiation and temperature on potential maize (Zea mays L.) yield among locations. Crop phenology and leaf growth were calculated from daily mean temperature data obtained at the five locations studied. Daily biomass accumulation was calculated by estimating the amount of radiation intercepted and assuming maximum crop radiation use efficiency of 1.6 g MJ−1. Grain yield accumulation was simulated using a linear increase in harvest index during grain filling. Observed and simulated grain yields were compared for several sowings at each of five localions ranging from latitude 14°S to 40°N lat. Averaged across sowings, respective observed and simulated oven‐dry grain yields (g m−2) were 816 and 830 at Katherine, Australia; 953 and 908 at Gainesville, FL; 1059 and 1106 at Quincy, FL; 1091 and 1119 at Champaign, IL; and 1580 and 1626 at Grand Junction, CO. Temperature primarily affected growth duration with lower temperature increasing the length of time that the crop could intercept radiation. The solar radiation response was related to the amount of incident radiation and to the fraction of radiation intercepted by the crop. In the tropics (Katherine), high temperature decreased the duration of growth and grain yield, despite high levels of radiation. Only at locations with low temperature and consequent long growth duration. and with high radiation were…
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The CGM was based on the mechanistic model developed by Muchow, Sinclair, and Bennett (1990).
“The CGM was based on the mechanistic model developed by Muchow, Sinclair, and Bennett (1990).”
From Integrating genetic gain and gap analysis to predict improvements in crop productivity (2020) · cites this paper as Muchow et al., 1990
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“predicts a target trait from small sets of genotype specific inputs and environmental characterizations [60,61].”
BackgroundIntegrating genetic gain and gap analysis to predict improvements in crop productivity
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- Authors
- Muchow, R. C., Sinclair, T. R., & Bennett, J. M.
- Affiliations
- Commonwealth Scientific and Industrial Research Organisation (AU)
- University of Florida (US)
- Corresponding author
- Sinclair, T. R.
- ORCID
- Sinclair, T. R.
- Venue
- Agronomy Journal
- Publisher
- Wiley
- Published
- 1990-03
- Volume
- 82
- Issue
- 2
- Pages
- 338-343
- ISSN
- 0002-1962 (ISSN-L)
- 1435-0645
- OpenAlex
- W1991281905
- Cited by
- 403
- References
- 0
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 8 · 2023: 16 · 2022: 15 · 2021: 21 · 2020: 10 · 2019: 18 · 2018: 19 · 2017: 16 · 2016: 15 · 2015: 21 · 2014: 19 · 2013: 9 · 2012: 18
- FWCI
- 16.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Agronomy Journal (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Crop Yield and Soil Fertility
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Climate change impacts on agriculture
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agricultural Productivity and Crop Improvement
- Keywords
- maize yield, solar radiation, temperature effects, crop growth simulation, crop phenology, radiation interception, radiation use efficiency, grain yield simulation, harvest index, growth duration, latitude, yield potential
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