Evidence map›Paper›PMID 31846491›Full record

ArticlePloS one2019

Understanding the combining ability for physiological traits in soybean.

Larissa Pereira Ribeiro Teodoro, Leonardo Lopes Bhering, Bruno Ermelindo Lopes Gomes, Cid Naudi Silva Campos, Fabio Henrique Rojo Baio, Ricardo Gava, Carlos Antonio da Silva Júnior, Paulo Eduardo Teodoro

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.7field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 33 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

8 authors at 3 institutions in 1 country.

Larissa Pereira Ribeiro TeodoroDepartment of Plant Science, Universidade Federal de Mato Grosso do Sul, Chapadão do Sul, Mato Grosso do Sul, Brazil.
Leonardo Lopes BheringDepartment of General Biology, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Bruno Ermelindo Lopes GomesDepartment of General Biology, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Cid Naudi Silva CamposDepartment of Plant Science, Universidade Federal de Mato Grosso do Sul, Chapadão do Sul, Mato Grosso do Sul, Brazil.
Fabio Henrique Rojo BaioDepartment of Plant Science, Universidade Federal de Mato Grosso do Sul, Chapadão do Sul, Mato Grosso do Sul, Brazil.
Ricardo GavaDepartment of Plant Science, Universidade Federal de Mato Grosso do Sul, Chapadão do Sul, Mato Grosso do Sul, Brazil.
Carlos Antonio da Silva JúniorDepartment of Geography, Universidade do Estado do Mato Grosso, Sinop, Mato Grosso, Brazil.
Paulo Eduardo TeodoroDepartment of Plant Science, Universidade Federal de Mato Grosso do Sul, Chapadão do Sul, Mato Grosso do Sul, Brazil.ORCID 0000-0002-8236-542X
Universidade Federal de Mato Grosso do Sul · BRUniversidade Federal de Viçosa · BRUniversidade do Estado de Mato Grosso · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photosynthetic efficiency has become the target of several breeding programs since the positive correlation between photosynthetic rate and yield in soybean suggests that the improvement of photosynthetic efficiency may be a promising target for new yield gains. However, studies on combining ability of soybean genotypes for physiological traits are still scarce in the literature. The objective of this study was to estimate the combining ability of soybean genotypes based on F2 generation aiming to identify superior parents and segregating populations for physiological traits. Twenty-eight F2 populations resulting from partial diallel crossings between eleven lines were evaluated in two crop seasons for the physiological traits: photosynthesis, stomatal conductance, internal CO2 concentration, and transpiration. General combining ability (GCA) of the parents and specific combining ability (SCA) of the F2 populations were estimated. Our findings reveal the predominance of additive effects in controlling the traits. The genotype TMG 7062 IPRO is the most promising parent for programs aiming at photosynthetic efficiency. We have also identified other promising parents and proposed cross-breeding with higher potential for obtaining superior lines for photosynthetic efficiency.

Indexed as

Hybridization, GeneticAllelesGenetic VariationGenotypeGlycine max

Identifiers

PMID31846491
PMCPMC6917344
OpenAlexW2995954267

What OpenQuestion holds

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LicenceCC BY
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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.