Evidence map›Paper›PMID 37167229›Full record

ArticlePloS one2023

Phenotype based clustering, and diversity of common bean genotypes in seed iron concentration and cooking time.

Winnyfred Amongi, Stanley Tamusange Nkalubo, Mildred Ochwo-Ssemakula, Arfang Badji, Isaac Onziga Dramadri, Thomas Lapaka Odongo, Ephraim Nuwamanya, Phineas Tukamuhabwe, Paulo Izquierdo, Karen Cichy and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.8field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 12 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

12 authors at 4 institutions in 2 countries.

Winnyfred AmongiDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0001-8532-2348
Stanley Tamusange NkaluboNational Crops Resources Research Institute (NaCRRI-NARO), Kampala, Uganda.
Mildred Ochwo-SsemakulaAlliance of Bioversity and CIAT, National Agricultural Research Laboratories Kawanda, Kampala, Uganda.
Arfang BadjiNational Crops Resources Research Institute (NaCRRI-NARO), Kampala, Uganda.ORCID 0000-0003-1105-9668
Isaac Onziga DramadriDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
Thomas Lapaka OdongoDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
Ephraim NuwamanyaDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
Phineas TukamuhabweDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
Paulo IzquierdoDepartment of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan, United States of America.
Karen CichyDepartment of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan, United States of America.
James KellyDepartment of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan, United States of America.
Clare MukankusiAlliance of Bioversity and CIAT, National Agricultural Research Laboratories Kawanda, Kampala, Uganda.
Makerere University · UGMichigan United · USNational Agricultural Research Institute · UGAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Common bean is the world's most important directly consumed legume food crop that is popular for calories, protein and micronutrients. It is a staple food in sub-Saharan Africa, and a significant source of iron for anemic people. However, several pests, soil and weather challenges still impede its production. Long cooking time, and high phytic acid and polyphenols that influence bioavailable iron also limit the health benefits. To inform population improvement strategies and selection decisions for resilient fast cooking and iron biofortified beans, the study determined diversity and population structure within 427 breeding lines, varieties, or landraces mostly from Alliance Uganda and Columbia. The genotypes were evaluated for days to flowering and physiological maturity, yield, seed iron (FESEED) and zinc (ZNSEED) and cooking time (COOKT). Data for all traits showed significant (P≤0.001) differences among the genotypes. Repeatability was moderate to high for most traits. Performance ranged from 52 to 87 ppm (FESEED), 23-38 ppm (ZNSEED), 36-361 minutes (COOKT), and 397-1299 kg/ha (yield). Minimal differences existed between the gene pools in the mean performance except in yield, where Mesoamerican beans were better by 117 kg/ha. The genotypes exhibited high genetic diversity and thus have a high potential for use in plant breeding. Improvement of FESEED and ZNSEED, COOKT and yield performance within some markets such as red and small white beans is possible. Hybridization across market classes especially for yellow beans is essential but this could be avoided by adding other elite lines to the population. Superior yielding and fast cooking, yellow and large white beans were specifically lacking. Adding Fe dense elite lines to the population is also recommended. The population was clustered into three groups that could be considered for specific breeding targets based on trait correlations.

Indexed as

IronPhaseolusCluster AnalysisCookingGenotypePhenotypePlant BreedingSeedsIron

Identifiers

PMID37167229
PMCPMC10174564
OpenAlexW4376130888

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Registered trials

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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.