Evidence map›Paper›PMID 35317017›Full record

ArticleFrontiers in plant science2022

Market Intelligence and Incentive-Based Trait Ranking for Plant Breeding: A Sweetpotato Pilot in Uganda.

Julius J Okello, Jolien Swanckaert, Daniel Martin-Collado, Bruno Santos, Benard Yada, Robert O M Mwanga, Anouk Schurink, Michael Quinn, Graham Thiele, Simon Heck and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. 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
7.5field-weighted citation impact, top 3% 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, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

13 authors at 6 institutions in 5 countries.

Julius J OkelloInternational Potato Centre, Kampala, Uganda.
Jolien SwanckaertAardevo, Nagele, Netherlands.
Daniel Martin-ColladoAragon Agrifood Research and Technology Center [Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA)], Zaragoza, Spain.
Bruno SantosAbacusBio Ltd, Dunedin, New Zealand.
Benard YadaNational Crops Resources Research Institute, Kampala, Uganda.
Robert O M MwangaInternational Potato Centre, Kampala, Uganda.
Anouk SchurinkAbacusBio Ltd, Dunedin, New Zealand.
Michael QuinnInternational Maize and Wheat Improvement Center, Texcoco, Mexico.
Graham ThieleInternational Potato Center, Lima, Peru.
Simon HeckInternational Potato Center, Nairobi, Kenya.
Timothy J ByrneAbacusBio International Ltd., Edinburgh, United Kingdom.
Guy G HareauInternational Potato Center, Lima, Peru.
Hugo CamposInternational Potato Center, Lima, Peru.
International Potato Center · PEInternational Potato Center · UGCentro de Investigación y Tecnología Agroalimentaria de Aragón · ESCentro Internacional de Mejoramiento de Maíz Y Trigo · MXInternational Potato Center · KENational Agricultural Research Institute · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crop breeding programs must accelerate crop improvement, spur widespread adoption of new varieties and increase variety turnover they are to meet the diverse needs of their clients. More comprehensive quantitative approaches are needed to better inform breeding programs about the preferred traits among farmers and other actors. However, the ability of current breeding programs to meet the demands of their clients is limited by the lack of insights about value chain actor preference for individual or packages of traits. Ranking traits based on monetary incentives, rather than subjective values, represents a more comprehensive, consistent, and quantitative approach to inform breeding programs. We conducted a large pilot in Uganda to assess the implementation of a novel approach to trait ranking, using a uniquely large sample of diverse sweetpotato value chain actors. We found meaningful differences in trait ranking and heterogeneity among different actors using this approach. We also show our approach's effectiveness at uncovering unmet demand for root quality traits and at characterizing the substantial trait demand heterogeneity among value chain players. Implementing this approach more broadly for sweetpotato and other crops would increase the effectiveness of breeding programs to improve food security in developing countries.

Indexed as

crop breedingeconomic incentivessweetpotatotrait rankingUganda

Identifiers

PMID35317017
PMCPMC8934386
OpenAlexW4214914674

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.