Evidence map›Paper›PMID 35310815›Full record

ArticleEuphytica: Netherlands journal of plant breeding2022

Factor analysis applied in genomic selection studies in the breeding of

Pedro Thiago Medeiros Paixão, Ana Carolina Campana Nascimento, Moysés Nascimento, Camila Ferreira Azevedo, Gabriela França Oliveira, Felipe Lopes da Silva, Eveline Teixeira Caixeta

Abstract read
In one paragraph

Article in Euphytica: Netherlands journal of plant breeding, 2022. 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
–field-weighted citation impact
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.

  1. Article
  2. 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

7 authors.

Pedro Thiago Medeiros PaixãoDepartment of Statistics, Universidade Federal de Viçosa (UFV), Viçosa, MG Brazil.
Ana Carolina Campana NascimentoDepartment of Statistics, Universidade Federal de Viçosa (UFV), Viçosa, MG Brazil.ORCID 0000-0002-6985-1490
Moysés NascimentoDepartment of Statistics, Universidade Federal de Viçosa (UFV), Viçosa, MG Brazil.
Camila Ferreira AzevedoDepartment of Statistics, Universidade Federal de Viçosa (UFV), Viçosa, MG Brazil.
Gabriela França OliveiraDepartment of Statistics, Universidade Federal de Viçosa (UFV), Viçosa, MG Brazil.
Felipe Lopes da SilvaDepartment of Agronomy, Universidade Federal de Viçosa (UFV), Viçosa, MG Brazil.
Eveline Teixeira CaixetaEmpresa Brasileira de Pesquisa Agropecuária (Embrapa), Embrapa Café, Brasília, DF Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brazil stands out worldwide in the production of coffee. The observed increases in its productivity and morpho agronomic traits are the results of the improvement of several methodologies applied in obtaining improved cultivars, among which the predictive methods of genetic value stand out. These contribute significantly to the selection of higher genotypes, increasing the genetic gain per unit time. In this context, genomic-wide selection (GWS) is a tool that stands out, since it allows predicting the future phenotype of an individual based only on molecular information. Performing joint selection of traits is the interest of most breeding programs, and factor analysis (FA) has been used to assist in this end. The aim of this study was to evaluate the use of FA in the context of GWS, in genotypes of

Indexed as

Coffea canephoraGenetic improvementGenomic predictionMultivariate analysis

Identifiers

PMID35310815
PMCPMC8918905

What OpenQuestion holds

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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.