Using Partial Least Squares and Regression to Interpret Temperature and Precipitation Effects on Maize and Soybean Genetic Variance Expression

Using Partial Least Squares and Regression to Interpret Temperature and Precipitation Effects on Maize and Soybean Genetic Variance Expression

Partial least squares (PLS) is a statistical technique that can evaluate the association of large numbers of external environmental variables with biological responses. PLS is a good method for analyzing the relative importance of variables and compressing the data for regression analyses. The objec...

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Bibliographic Details
Main Authors: Amanda J. Ashworth, Fred L. Allen, Arnold M. Saxton
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Agronomy
Subjects:
genetic variance estimates
maturity group
glyphosate tolerant cultivars
yield trial location
genotype × environment
Online Access:https://www.mdpi.com/2073-4395/13/11/2752

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