Multicollinearity in canonical correlation analysis in maize.

doi:10.4238/gmr16019546

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Article

Multicollinearity in canonical correlation analysis in maize.

Genetics and molecular research : GMR - 30 Mar 2017

Alves B M, Cargnelutti Filho A, Burin C

Abstract excerpt

The objective of this study was to evaluate the effects of multicollinearity under two methods of canonical correlation analysis (with and without elimination of variables) in maize (Zea mays L.) crop. Seventy-six maize genotypes were evaluated in three experiments, conducted in a randomized block design with three replications, during the 2009/2010 crop season. Eleven agronomic variables (number of days from...

Topics

Amino Acids
Crop Production
Crops, Agricultural
Edible Grain
Food Analysis
Genetic Association Studies
Genotype
Seeds
Statistics as Topic
Zea mays

Source

Open in PubMed

Identifiers

PMID: 28363005
DOI: 10.4238/gmr16019546

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

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