Evidence map›Paper›PMID 35282386›Full record

ArticleGlobal food security2022

Maximizing value of genetic sequence data requires an enabling environment and urgency.

Jim Gaffney, Dejene Girma, Ndjido Ardo Kane, Victor Llaca, Emma Mace, Nigel Taylor, Redeat Tibebu

Open access · hybridAbstract read
In one paragraph

Article in Global food security, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 7 institutions in 4 countries.

Jim GaffneyUnited States Agency for International Development, USA.
Dejene GirmaNational Agricultural Biotechnology Research Center, Ethiopian Institute for Ag Research, Ethiopia.
Ndjido Ardo KaneInstitut Senegalais de Recherches Agricoles, Centre d' Etude Regional pour l'Amelioration de l'Adaptation a la Secheresse, Senegal.
Victor LlacaCorteva Agriscience, USA.
Emma MaceQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Australia.
Nigel TaylorDonald Danforth Plant Science Center, USA.
Redeat TibebuCollege of Biological Sciences, University of Minnesota, USA.
Centre d'Etude Regional pour l'Amelioration de l'Adaptation a la Secheresse · SNCorteva (United States) · USDonald Danforth Plant Science Center · USEthiopian Institute of Agricultural Research · ETThe University of Queensland · AUUnited States Agency for International Development · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe price spikes of the major grain commodities and rapid expansion of cultivated area in the past two decades are symptoms of a severely stressed global food supply. Scientific discovery and improved agricultural productivity are needed and are enabled by unencumbered access to, and use of, genetic sequence data. In the same way the world witnessed rapid development of vaccines for COVID-19, genetic sequence data afford enormous opportunities to improve crop production. In addition to an enabling regulatory environment that allowed for the sharing of genetic sequence data, robust funding fostered the rapid development of coronavirus diagnostics and COVID-19 vaccines. A similar level of commitment, collaboration, and cooperation is needed for agriculture.

Indexed as

Agricultural research and development investmentCOVID19 vaccineGenetic sequence dataNucleotide sequenceRegulatory harmonizationScience-based decision-making

Identifiers

PMID35282386
PMCPMC8901168
OpenAlexW4220667071

What OpenQuestion holds

Textmetadata
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.