The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Temperature and Crop Development
Abstract
The state of a plant is determined by both growth and developmental processes. This chapter provides insight into the value of using temperature for predicting plant development and discusses some of the sources of uncertainties when using a temperature summation system. Most available daily maximum and minimum temperature records have been observed from liquid-in-glass thermometers exposed in standard white, louvered instrument shelters. The prediction of development using thermal time has usually focused around the timing of important events in the phasic development of determinant crops, such as time to anthesis and physiological maturity. Germination has been used often for evaluating developmental temperature response functions. The chapter addresses the influence of photoperiod on the prediction of crop development and temperature relationships. As with photoperiod, vernalization has an influence on leaf numbers.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Critique of the Heat Unit Approach to Plant Response Studies
Wang, J. Y. (1960) · Ecology · doi:10.2307/1931815 · Cited by 502
A model for diurnal variation in soil and air temperature
Parton, W. J., & Logan, J. A. (1981) · Agricultural Meteorology · doi:10.1016/0002-1571(81)90105-9 · Cited by 458
Heat Units as a Method of Measuring Maturity in Corn1
Gilmore, E. C., & Rogers, J. S. (1958) · Agronomy Journal · doi:10.2134/agronj1958.00021962005000100014x · Cited by 426
COVELL, S., ELLIS, R. H., ROBERTS, E. H., & SUMMERFIELD, R. J. (1986) · Journal of Experimental Botany · doi:10.1093/jxb/37.5.705 · Cited by 388
GARCIA-HUIDOBRO, J., MONTEITH, J. L., & SQUIRE, G. R. (1982) · Journal of Experimental Botany · doi:10.1093/jxb/33.2.288 · Cited by 388
Effect of Temperature on Rate of Leaf Appearance and Flowering Date in Maize1
Tollenaar, M., Daynard, T. B., & Hunter, R. (1979) · Crop Science · doi:10.2135/cropsci1979.0011183x001900030022x · Cited by 238
ELLIS, R. H., COVELL, S., ROBERTS, E. H., & SUMMERFIELD, R. J. (1986) · Journal of Experimental Botany · doi:10.1093/jxb/37.10.1503 · Cited by 236
Robertson, G. W. (1968) · International Journal of Biometeorology · doi:10.1007/bf01553422 · Cited by 235
Predicting Tillage Effects on Soil Physical Properties and Processes
(1982) · ASA special publication · doi:10.2134/asaspecpub44 · Cited by 220
Nuttonson, M. Y. (1957) · AIBS Bulletin · doi:10.2307/1292056 · Cited by 148
Cited by
CropSyst, a cropping systems simulation model
Stöckle, C. O., Donatelli, M., & Nelson, R. (2003) · European Journal of Agronomy · doi:10.1016/s1161-0301(02)00109-0 · Cited by 1,344
Interactions between increasing CO2 concentration and temperature on plant growth
MORISON, J. I. L., & LAWLOR, D. W. (1999) · Plant, Cell & Environment · doi:10.1046/j.1365-3040.1999.00443.x · Cited by 509
The Worldwide Potential for Quinoa (Chenopodium quinoa Willd.)
Jacobsen, S.-E. (2003) · Food Reviews International · doi:10.1081/fri-120018883 · Cited by 454
Impacts of climate change on agriculture: Evidence from China
Chen, S., Chen, X., & Xu, J. (2016) · Journal of Environmental Economics and Management · doi:10.1016/j.jeem.2015.01.005 · Cited by 434
Maddonni, G. A., Otegui, M. E., & Cirilo, A. G. (2001) · Field Crops Research · doi:10.1016/s0378-4290(01)00158-7 · Cited by 347
Metadata
- Authors
- Ritchie, J. T., & Nesmith, D. S.
- Venue
- Agronomy Monographs
- Publisher
- Wiley
- Published
- 1991-01
- Pages
- 5-29
- ISSN
- 0065-4663 (ISSN-L)
- 2156-3276
- OpenAlex
- W2474949753
- Cited by
- 485
- References
- 15
- Type
- other
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Temperature and Crop Development. https://app.cochat.ai/papers/10.2134/agronmonogr31.c2
- The paper
- Ritchie, J. T., & Nesmith, D. S. (1991). Temperature and Crop Development. Agronomy Monographs. https://doi.org/10.2134/agronmonogr31.c2
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
