Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Overcoming collinearity in path analysis of soybean [Glycine max (L.) Merr.] grain oil content.

PloS one - 1 Jan 2020

Viotto Del Conte Murilo, Carneiro Pedro Crescêncio Souza, Vilela de Resende Marcos Deon, Lopes da Silva Felipe, Peternelli Luiz Alexandre

Abstract excerpt

Path analysis allows understanding the direct and indirect effects among traits. Multicollinearity in correlation matrices may cause a bias in path analysis estimates. This study aimed to: a) understand the correlation among soybean traits and estimate their direct and indirect effects on gain oil content; b) verify the efficiency of ridge path analysis and trait culling to overcome colinearity. Three different...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Edible Grain
Share to Glycine max

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Share to Plant Breeding

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 32442213
DOI: 10.1371/journal.pone.0233290
PMCID: PMC7244132

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Overcoming collinearity in path analysis of soybean [Glycine max (L.) Merr.] grain oil content.PMID 32442213Read ↗

Phenotypic and genotypic correlations between soybean agronomic traits and path analysis.Semantic proximity Read ↗

Multicollinearity in canonical correlation analysis in maize.Semantic proximity Read ↗

Genomic structural equation modelling provides a whole-system approach for the future crop breeding.Semantic proximity Read ↗

Path analysis based on genetic association of yield components and insects pest in upland cotton varieties.Semantic proximity Read ↗

Evaluation of seed yield-related characters in sesame (Sesamum indicum L.) using factor and path analysis.Semantic proximity Read ↗

Genetic parameters and path analysis in cowpea genotypes grown in the Cerrado/Pantanal ecotone.Semantic proximity Read ↗

Path-coefficient and correlation analysis in Bambara groundnut (Vigna subterranea [L.] Verdc.) accessions over environments.Semantic proximity Read ↗

Multi-environment Evaluations Across Ecological Regions Reveal That the Kernel Oil Content of Cottonseed Is Equally Determined by Genotype and Environment.Semantic proximity Read ↗

Study on characters associations and path coefficient analysis for quantitative traits of amaranth genotypes from Ethiopia.Semantic proximity Read ↗

Path analysis and canonical correlations for indirect selection of Jatropha genotypes with higher oil yield.Semantic proximity Read ↗

Uncovering a Nuisance Influence of a Phenological Trait of Plants Using a Nonlinear Structural Equation: Application to Days to Heading and Culm Length in Asian Cultivated Rice (Oryza Sativa L.).Semantic proximity Read ↗

Genotypic correlation and path analysis in early and super-early maize genotypes.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.