The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Roots of the Second Green Revolution
Abstract
The Green Revolution boosted crop yields in developing nations by introducing dwarf genotypes of wheat and rice capable of responding to fertilisation without lodging. We now need a second Green Revolution, to improve the yield of crops grown in infertile soils by farmers with little access to fertiliser, who represent the majority of third-world farmers. Just as the Green Revolution was based on crops responsive to high soil fertility, the second Green Revolution will be based on crops tolerant of low soil fertility. Substantial genetic variation in the productivity of crops in infertile soil has been known for over a century. In recent years we have developed a better understanding of the traits responsible for this variation. Root architecture is critically important by determining soil exploration and therefore nutrient acquisition. Architectural traits under genetic control include basal-root gravitropism, adventitious-root formation and lateral branching. Architectural traits that enhance topsoil foraging are important for acquisition of phosphorus from infertile soils. Genetic variation in the length and density of root hairs is important for the acquisition of immobile nutrients such as phosphorus and potassium. Genetic variation in root cortical aerenchyma formation and secondary development (‘root etiolation’) are important in reducing the metabolic costs of root growth and soil exploration. Genetic variation in rhizosphere modification through the efflux of protons, organic acids and enzymes is important for the mobilisation of nutrients such as phosphorus and transition metals, and the avoidance of aluminum toxicity. Manipulation of ion transporters may be useful for improving the acquisition of nitrate and for enhancing salt tolerance. With the noteworthy exceptions of rhizosphere modification and ion transporters, most of these traits are under complex genetic control. Genetic variation in these traits is associated with substantial yield gains in low-fertility soils, as illustrated by the case of phosphorus efficiency in bean and soybean. In breeding crops for low-fertility soils, selection for specific root traits through direct phenotypic evaluation or molecular markers is likely to be more productive than conventional field screening. Crop genotypes with greater yield in infertile soils will substantially improve the productivity and sustainability of low-input agroecosystems, and in high-input agroecosystems will reduce the environmental impacts of intensive fertilisation. Although the development of crops with reduced fertiliser requirements has been successful in the few cases it has been attempted, the global scientific effort devoted to this enterprise is small, especially considering the magnitude of the humanitarian, environmental and economic benefits being forgone. Population growth, ongoing soil degradation and increasing costs of chemical fertiliser will make the second Green Revolution a priority for plant biology in the 21st century.
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
The physiology of metal toxicity in plants
Foy, C. D., Chaney, R. L., & White, M. C. (1978) · Annual Review of Plant Physiology · doi:10.1146/annurev.pp.29.060178.002455 · Cited by 2,170
Gulf of Mexico hypoxia, A.K.A. “The Dead Zone.”
Rabalais, N. N., Turner, R. E., & Wiseman, W. J. (2002) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.33.010802.150513 · Cited by 1,330
Vance, C. P. (2001) · Plant Physiology · doi:10.1104/pp.010331 · Cited by 899
TUBEROSA, R. (2002) · Annals of Botany · doi:10.1093/aob/mcf134 · Cited by 397
Cited by
White, P. J., & Broadley, M. R. (2009) · New Phytologist · doi:10.1111/j.1469-8137.2008.02738.x · Cited by 2,178
Root Phenes for Enhanced Soil Exploration and Phosphorus Acquisition: Tools for Future Crops
Lynch, J. P. (2011) · Plant Physiology · doi:10.1104/pp.111.175414 · Cited by 1,052
Self-citationRoot phenotypes for improved nutrient capture: an underexploited opportunity for global agriculture
Lynch, J. P. (2019) · New Phytologist · doi:10.1111/nph.15738 · Cited by 774
Self-citationResponses of root architecture development to low phosphorus availability: a review
Niu, Y. F., Chai, R. S., Jin, G. L., Wang, H., Tang, C. X., & Zhang, Y. S. (2013) · Annals of Botany · doi:10.1093/aob/mcs285 · Cited by 617
The roots of a new green revolution
Herder, G. D., Van Isterdael, G., Beeckman, T., & De Smet, I. (2010) · Trends in Plant Science · doi:10.1016/j.tplants.2010.08.009 · Cited by 508
Metadata
- Authors
- Lynch, J. P.
- Venue
- Australian Journal of Botany
- Publisher
- CSIRO Publishing
- Published
- 2007-08-17
- Volume
- 55
- Issue
- 5
- Pages
- 493-512
- ISSN
- 0067-1924 (ISSN-L)
- 1444-9862
- OpenAlex
- W1912973666
- Cited by
- 1,282
- References
- 4
- FWCI
- 30.42
- Type
- journal article
- 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: Roots of the Second Green Revolution. https://app.cochat.ai/papers/10.1071/bt06118
- The paper
- Lynch, J. P. (2007). Roots of the Second Green Revolution. Australian Journal of Botany. https://doi.org/10.1071/bt06118
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.