Evidence map›Paper›PMID 30986680›Full record

ArticleThe Science of the total environment2019

"More crop per drop": Exploring India's cereal water use since 2005.

Benjamin Kayatz, Francesca Harris, Jon Hillier, Tapan Adhya, Carole Dalin, Dali Nayak, Rosemary F Green, Pete Smith, Alan D Dangour

Open access · hybridAbstract read
In one paragraph

Article in The Science of the total environment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Trading water: virtual water flows through interstate cereal trade in India.Environmental research letters : ERL [Web site] · 2020
    Article
  11. Assessing the sustainability of post-Green Revolution cereals in India.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 3 countries.

Benjamin KayatzUniversity of Aberdeen, Aberdeen, UK; Helmholtz Centre Potsdam German Research Centre for Geosciences, Potsdam, Germany; Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany. Electronic address: benjamin.kayatz@gfz-potsdam.de.
Francesca HarrisLondon School of Hygiene & Tropical Medicine, London, UK.
Jon HillierHelmholtz Centre Potsdam German Research Centre for Geosciences, Potsdam, Germany; Global Academy of Agriculture and Food Security, The Royal (Dick) School of Veterinary Studies and The Roslin Institute, Easter Bush Campus, Midlothian, UK.
Tapan AdhyaKalinga Institute of Industrial Technology, Bhubaneswar, India.
Carole DalinInstitute for Sustainable Resources, University College London, UK.
Dali NayakUniversity of Aberdeen, Aberdeen, UK.
Rosemary F GreenLondon School of Hygiene & Tropical Medicine, London, UK.
Pete SmithUniversity of Aberdeen, Aberdeen, UK.
Alan D DangourLondon School of Hygiene & Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GBUniversity of Aberdeen · GBCentre for Sustainable Energy · GBKIIT University · INRoslin Institute · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

India has the highest national freshwater demand globally and 91% of India's freshwater is used in the agriculture sector. Cereals account for over 50% of the dietary water footprint in India and represent a potential opportunity for reducing water use in Indian agriculture. This study combines governmental production and irrigation statistics with crop distribution maps to examine trends in annual water use for cereal production in India between 2005 and 2014. A new online water assessment tool, Cool Farm Tool Water (CFTW), was used to calculate water use and derive seasonal state-level blue and green water footprints for rice, wheat, sorghum, millet and maize. The analysis indicates that India achieved 26.4% increased total cereal production between 2005 and 2014 without additional water or land use. Cereal water footprints have declined due to higher yields for most crops and slightly lower rates of evapotranspiration. There has also been a shift in the area under production away from the Kharif (monsoon) towards the Rabi (dry) season in which total water footprints for all cereals except rice are substantially lower (-33.4% to -45.0% compared to Kharif), but show a significantly higher dependency on ground and surface water. The value of this study is two-fold. First, it provides a full assessment of production trends for the five major cereals in India for each year from 2005 to 2014 and links it to water use. Secondly, it uses updated seasonal water footprints, which demonstrate the potential for changes in cereal production practices to contribute to improved efficiency of water use in India. Future pressures on scarce water resources may encourage transition to cereals with lower irrigation dependency, in particular maize, but also sorghum and millet. In addition, increased emphasis on improving millet and sorghum yields would be of benefit to secure cereal production and reduce its overall water footprint.

Indexed as

AgricultureConservation of Water ResourcesCrops, AgriculturalEdible GrainFertilizersIndiaMilletsOryzaSorghumTriticumWater ResourcesWater SupplyZea maysFertilizersCerealsCool Farm ToolFood securityIndiaIrrigationWater resource management

Identifiers

PMID30986680
PMCPMC6510970
OpenAlexW2935958767

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.