Evidence map›Paper›PMID 38358588›Full record

ArticleBiochemical genetics2024

Exploring SoySNP50K and USDA Germplasm Collection Data to Find New QTLs Associated with Protein and Oil Content in Brazilian Genotypes.

Jessica Nayara Basílio Silva, Rafael Delmond Bueno, Teresinha de Jesus Feitosa de Sousa, Yan Pablo Moreira Xavier, Luiz Claudio Costa Silva, Newton Deniz Piovesan, Cleberson Ribeiro, Maximiller Dal-Bianco

Abstract read
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In one paragraph

Article in Biochemical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
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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 2 institutions in 1 country.

Jessica Nayara Basílio SilvaLaboratório de Bioquímica Genética de Plantas, BIOAGRO, Universidade Federal de Viçosa, Viçosa, MG, 21236570-900, Brazil.ORCID http://orcid.org/0000-0003-4823-7763
Rafael Delmond BuenoLaboratório de Bioquímica Genética de Plantas, BIOAGRO, Universidade Federal de Viçosa, Viçosa, MG, 21236570-900, Brazil.ORCID http://orcid.org/0000-0002-9462-1267
Teresinha de Jesus Feitosa de SousaLaboratório de Bioquímica Genética de Plantas, BIOAGRO, Universidade Federal de Viçosa, Viçosa, MG, 21236570-900, Brazil.ORCID http://orcid.org/0000-0002-0593-8781
Yan Pablo Moreira XavierLaboratório de Bioquímica Genética de Plantas, BIOAGRO, Universidade Federal de Viçosa, Viçosa, MG, 21236570-900, Brazil.ORCID http://orcid.org/0009-0002-1850-9406
Luiz Claudio Costa SilvaDepartamento de Ciências Biológicas, Universidade Estadual de Feira de Santana, Feira de Santana, BA, 44036-900, Brazil.ORCID http://orcid.org/0000-0002-9917-2448
Newton Deniz PiovesanLaboratório de Bioquímica Genética de Plantas, BIOAGRO, Universidade Federal de Viçosa, Viçosa, MG, 21236570-900, Brazil.
Cleberson RibeiroDepartamento de Biologia Geral, Universidade Federal de Viçosa, Viçosa, MG, 36570-900, Brazil.ORCID http://orcid.org/0000-0001-7063-1068
Maximiller Dal-BiancoLaboratório de Bioquímica Genética de Plantas, BIOAGRO, Universidade Federal de Viçosa, Viçosa, MG, 21236570-900, Brazil. maximiller@ufv.br.ORCID http://orcid.org/0000-0002-7001-4841
Universidade Federal de Viçosa · BRUniversidade Estadual de Feira de Santana · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 312641/2021-4Fundação de Amparo à Pesquisa do Estado de Minas Gerais APQ-01416-16
6 · The paper itself

Abstract

Genetic diversity within a germplasm collection plays a vital role in the success of breeding programs. However, comprehending this diversity and identifying accessions with desirable traits pose significant challenges. This study utilized publicly available data to investigate SNP markers associated with protein and oil content in Brazilian soybeans. Through this research, twenty-two new QTLs (Quantitative Trait Loci) were identified, and we highlighted the substantial influence of Roanoke, Lee and Bragg ancestor on the genetic makeup of Brazilian soybean varieties. Our findings demonstrate that certain markers are being lost in modern cultivars, while others maintain or even increase their frequency. These observations indicate genomic regions that have undergone selection during soybean introduction in Brazil and could be valuable in breeding programs aimed at enhancing protein or oil content.

Indexed as

GenotypeGlycine maxPolymorphism, Single NucleotideQuantitative Trait LociBrazilPlant BreedingPlant OilsSoybean OilSoybean ProteinsUnited StatesUnited States Department of AgriculturePlant OilsSoybean OilSoybean ProteinsBrazilian ancestryOil contentProtein contentQuantitative trait lociSNP marker

Identifiers

PMID38358588
OpenAlexW4391845665

What OpenQuestion holds

Textmetadata
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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.