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Overcoming collinearity in path analysis of soybean [Glycine max (L.) Merr.] grain oil content
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 c...
Autores principales: | Viotto Del Conte, Murilo, Carneiro, Pedro Crescêncio Souza, Vilela de Resende, Marcos Deon, Lopes da Silva, Felipe, Peternelli, Luiz Alexandre |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244132/ https://www.ncbi.nlm.nih.gov/pubmed/32442213 http://dx.doi.org/10.1371/journal.pone.0233290 |
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