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Cited by 385

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The effects of increasing CO2 on crop photosynthesis and productivity: a review of field studies

LAWLOR, D. W., MITCHELL, R. A. C.·1991·Plant, Cell & Environment

Abstract

Abstract. Only a small proportion of elevated CO 2 studies on crops have taken place in the field. They generally confirm results obtained in controlled environments: CO 2 increases photosynthesis, dry matter production and yield, substantially in C 3 species, but less in C 4, it decreases stomatal conductance and transpiration in C 3 and C 4 species and greatly improves water‐use efficiency in all plants. The increased productivity of crops with CO 2 enrichment is also related to the greater leaf area produced. Stimulation of yield is due more to an increase in the number of yield‐forming structures than in their size. There is little evidence of a consistent effect of CO 2 on partitioning of dry matter between organs or on their chemical composition, except for tubers. Work has concentrated on a few crops (largely soybean) and more is needed on crops for which there are few data (e.g. rice). Field studies on the effects of elevated CO 2 in combination with temperature, water and nutrition are essential; they should be related to the development and improvement of mechanistic crop models, and designed to test their predictions.

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Crossref · 10.1111/j.1365-3040.1991.tb01444.x

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Metadata

Authors
LAWLOR, D. W., & MITCHELL, R. A. C.
Venue
Plant, Cell & Environment
Publisher
Wiley
Published
1991-10
Volume
14
Issue
8
Pages
807-818
ISSN
  • 0140-7791 (ISSN-L)
  • 1365-3040
OpenAlex
W2150834882
Cited by
385
References
0
FWCI
20.62
Type
journal article
Language
en
Open access
closed

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LAWLOR, D. W., & MITCHELL, R. A. C. (1991). The effects of increasing CO2 on crop photosynthesis and productivity: a review of field studies. Plant, Cell & Environment. https://doi.org/10.1111/j.1365-3040.1991.tb01444.x

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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.