The DOI matches its Crossref record; 53 of the 54 references it cites were found in a registry or an index.
Crop variety improvement and its effect on productivity: the impact of international agricultural research
Abstract
Abstract This book reports on the productivity impacts of varietal improvement research conducted at a number of international centres affiliated with the Consultative Group on International Agricultural Research. Such centres have been at the forefront of a 40-year effort to breed new varieties of the world's staple food crops. The contributed chapters are the main product of a study initiated and supported by the Impact Assessment and Evaluation Group (now the Standing Panel on Impact Assessment) of the CGIAR. Descriptive data and econometric models have been used to evaluate the impact of research on 11 crops and country case studies in Brazil, China and India. The contents include an introduction and methodology section (3 chapters); crop studies on rice, wheat, maize, sorghum, pearl millet, barley, lentils, potato, cassava, groundnut and common bean (Phaseolus vulgaris); case studies in Brazil, China and India; and a set of 3 synthesis papers reporting global and regional impacts on production and human welfare. The book should prove of significant interest to those working within plant breeding, crop science and agricultural economics.
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“Previous studies that have attempted to quantitatively model the socioeconomic impacts of international agricultural R&D have shown that without the Green Revolution's increased agricultural yields, investment and yield progress in the developed world would have increased in response to rising prices, largely offsetting the decreased production in the developed world.”
From Greenhouse gas mitigation by agricultural intensification (2010) · cites this paper as [23]
In the citing paper
“international shipments of food from developed to developing countries would have increased on the order of 30%, and crop area would still have increased by 2.8–4.9% more than it did historically”
From Greenhouse gas mitigation by agricultural intensification (2010) · cites this paper as [23]
In the citing paper
“food prices would be 35–66% higher than in reality”
From Greenhouse gas mitigation by agricultural intensification (2010) · cites this paper as [23]
In the citing paper
“with overall calorie consumption 14% lower in the developing world than in reality”
From Greenhouse gas mitigation by agricultural intensification (2010) · cites this paper as [23]
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Metadata
- Venue
- CABI Publishing eBooks
- Publisher
- CABI Publishing
- Published
- 2003-01
- OpenAlex
- W596607116
- Cited by
- 334
- References
- 54
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 11 · 2023: 12 · 2022: 13 · 2021: 10 · 2020: 12 · 2019: 12 · 2018: 20 · 2017: 14 · 2016: 13 · 2015: 20 · 2014: 22 · 2013: 21 · 2012: 13
- FWCI
- 56.99
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- CABI Publishing eBooks (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Economics and Practices
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Research and Practices
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
- Keywords
- plant breeding, research impact assessment, international agricultural research, staple crops, crop productivity, human welfare, rice, wheat, maize, sorghum, pearl millet, barley, lentil, potato, cassava, groundnut, Phaseolus vulgaris, Brazil, China, India
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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 ›
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