Pearson correlation coefficients for biomass traits in sugarcane

IJMS, Free Full-Text

High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data, Plant Methods

Vitalie STAVILA, Senior Member of Technical Staff

PDF) Genetic Variation in Biomass Traits among 20 Diverse Rice Varieties

Pairwise pearson's correlation coefficients for the 28 agronomic traits

Correlation analysis of all samples. a Heatmap was constructed by the

Frontiers A first look at the ability to use genomic prediction for improving the ratooning ability of sugarcane

High-precision sugarcane yield prediction by integrating 10-m Sentinel-1 VOD and Sentinel-2 GRVI indexes - ScienceDirect

Vitalie STAVILA, Senior Member of Technical Staff