Evidence map›Paper›PMID 28472094›Full record

ArticlePloS one2017

What are farmers really planting? Measuring the presence and effectiveness of Bt cotton in Pakistan.

David J Spielman, Fatima Zaidi, Patricia Zambrano, Asif Ali Khan, Shaukat Ali, H Masooma Naseer Cheema, Hina Nazli, Rao Sohail Ahmad Khan, Arshad Iqbal, Muhammad Amir Zia and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.6field-weighted citation impact, top 5% 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

4 citing papers in PubMed, 24 citations in OpenAlex.

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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

11 authors at 5 institutions in 2 countries.

David J SpielmanEnvironment and Production Technology Division, International Food Policy Research Institute, Washington, DC, United States of America.ORCID http://orcid.org/0000-0002-6889-7358
Fatima ZaidiEnvironment and Production Technology Division, International Food Policy Research Institute, Washington, DC, United States of America.
Patricia ZambranoEnvironment and Production Technology Division, International Food Policy Research Institute, Washington, DC, United States of America.
Asif Ali KhanMuhammad Nawaz Shareef University of Agriculture, Multan, Pakistan.
Shaukat AliNational Institute for Genomics and Advanced Biotechnology, Pakistan Agricultural Research Council, Islamabad, Pakistan.
H Masooma Naseer CheemaDepartment of Plant Breeding and Genetics, University of Agriculture Faisalabad, Faisalabad, Pakistan.
Hina NazliPakistan Strategy Support Program, International Food Policy Research Institute, Islamabad, Pakistan.
Rao Sohail Ahmad KhanCentre of Agricultural Biochemistry and Biotechnology, University of Agriculture Faisalabad, Faisalabad, Pakistan.
Arshad IqbalNational Institute for Genomics and Advanced Biotechnology, Pakistan Agricultural Research Council, Islamabad, Pakistan.
Muhammad Amir ZiaNational Institute for Genomics and Advanced Biotechnology, Pakistan Agricultural Research Council, Islamabad, Pakistan.
Ghulam Muhammad AliNational Institute for Genomics and Advanced Biotechnology, Pakistan Agricultural Research Council, Islamabad, Pakistan.
Pakistan Agricultural Research Council · PKInternational Food Policy Research Institute · USUniversity of Faisalabad · PKMuhammad Nawaz Shareef University of Agriculture · PKSustainable Development Policy Institute · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetically modified, insect-resistant Bacillus thuringiensis (Bt) cotton is cultivated extensively in Pakistan. Past studies, however, have raised concerns about the prevalence of Bt cotton varieties possessing weak or nonperforming insect-resistance traits conferred by the cry gene. We examine this issue using data drawn from a representative sample of cotton-growing households that were surveyed in six agroclimatic zones spanning 28 districts in Pakistan in 2013, as well as measurements of Cry protein levels in cotton tissue samples collected from the sampled households' main fields. The resultant dataset combines information from 593 sampled households with corresponding plant tissue diagnostics from 70 days after sowing, as well as information from 589 sampled households with corresponding diagnostics from 120 days after sowing. Our analysis indicates that 11 percent of farmers believed they were cultivating Bt cotton when, in fact, the Cry toxin was not present in the tested tissue at 70 days after sowing (i.e., a Type I error). The analysis further indicates that 5 percent of farmers believed they were cultivating non-Bt cotton when, in fact, the Cry toxin was present in the tested tissue (i.e., a Type II error). In addition, 17 percent of all sampled farmers were uncertain whether or not they were cultivating Bt cotton. Overall, 33 percent of farmers either did not know or were mistaken in their beliefs about the presence of the cry gene in the cotton they cultivated. Results also indicate that toxic protein levels in the plant tissue samples occurred below threshold levels for lethality in a significant percentage of cases, although these measurements may also be affected by factors related to tissue sample collection, handling, storage, and testing procedures. Nonetheless, results strongly suggest wide variability both in farmers' beliefs and in gene expression. Such variability has implications for policy and regulation in Pakistan's transgenic cotton seed market.

Indexed as

Bacillus thuringiensisCrops, AgriculturalFarmersGossypiumPakistanPest Control, Biological

Identifiers

PMID28472094
PMCPMC5417514
OpenAlexW2611835927

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.