Multicollinearity in Path Analysis: A Simple Method to Reduce Its Effects-Reference-Cited by-同舟云学术

Multicollinearity in Path Analysis: A Simple Method to Reduce Its Effects

Published:2017-01 Issue:1 Volume:109 Page:131-142
ISSN:0002-1962
Container-title:Agronomy Journal
language:en
Short-container-title:Agron.j.

Author:

Olivoto Tiago¹,Souza Velci Q.²,Nardino Maicon³,Carvalho Ivan R.³,Ferrari Maurício³,Pelegrin Alan J.³,Szareski Vinícius J.³,Schmidt Denise¹

Affiliation:

1. Dep. of AgronomyFederal Univ. of Santa MariaFrederico WestphalenRSBrazil

2. Federal Univ. of PampaDom PedritoRSBrazil

3. Plant Genomics and Breeding CenterFed. Univ. of PelotasPelotasRSBrazil

Funder

Improvement of Higher Education Personnel

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2134/agronj2016.04.0196

Reference53 articles.

1. Character Association and Path Coefficient Analysis of Maize (Zea mays L.) Grown under Incorporated Legumes and Nitrogen

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3. Character association and path coefficient analysis of grain yield and yield components maize (Zea mays L.);Alvi M.B.;Pak. J. Biol. Sci.,2003

4. Correlation and path coefficient analysis of yield and agronomic characters among open pollinated maize varieties and their F1 hybrids in a diallel cross;Bello O.B.;Afr. J. Biotechnol.,2010

5. Path analysis under multicollinearity in soybean

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