Assessment of Yield Attributes and Industrial Quality Parameters of Oat Cultivars (Avena sativa L.) Using Multivariate Techniques (PCA, PLS-DA and OLS-R)
Authors/Creators
- 1. Laboratory of Crop Plants, Agroveterinary Science Center, Department of Agronomy, Santa Catarina State University, Luiz de Camões Avenue 2090, Zip Code 88520-000, Lages, SC, Brazil.
- 2. Laboratory of Seed Analysis, Agroveterinary Science Center, Department of Agronomy, Santa Catarina State University, Luiz de Camões Avenue 2090, Zip Code 88520-000, Lages, SC, Brazil
Description
Triazoles and strobilurins group of fungicides have been reported to have dual properties (growth
regulator and fungicide) and have been used to prevent the plant lodging. In this study four
subsequent field experiments with oat cultivars with and without fungicide application were
conducted from 2012 to 2015 aiming to find if fungicide application can improve some yield
attributes and quality parameters of oats and find yield attributes that most affect the quality
parameters of oats. Multivariate techniques were applied in other to find the most important
variables that contribute to sample classification. Fungicide application has a role in reducing the
plant stature of oat cultivars with consequent decreasing in lodging index of oat cultivars. Fungicide
application reduces the plant stature and lodging index, contributing to best quality parameters of
oats. Multivariate techniques (PCA, PLS-DA, OLS-R) were capable in finding the important variables
that affect yield attributes and quality parameters and can be applied in a broad range of agricultural
systems for predicting important aspects that affect plant growth and development.