Selection of Soybean Genotypes under Drought and Saline Stress Conditions Using Manhattan Distance and TOPSIS

Selection of Soybean Genotypes under Drought and Saline Stress Conditions Using Manhattan Distance and TOPSIS

The search for soybean genotypes more adapted to abiotic stress conditions is essential to boost the development and yield of the crop in Brazil and worldwide. In this research, we propose a new approach using the concept of distance (or similarity) in a vector space that can quantify changes in the...

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Bibliographic Details
Main Authors: Bruno Rodrigues de Oliveira, Alan Mario Zuffo, Jorge González Aguilera, Fábio Steiner, Sheda Méndez Ancca, Luis Angel Paucar Flores, Hebert Hernán Soto Gonzales
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Plants
Subjects:
distance measure
vector space model
abiotic stress
multi-environment
osmotic potential
Online Access:https://www.mdpi.com/2223-7747/11/21/2827

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