A comprehensive web-based platform for calculation of abiotic stress tolerance indices in plant breeding.

Abstract

Abiotic stress tolerance is a critical trait in plant breeding programs aimed at developing climate-resilient crop varieties. The accurate identification and selection of stress-tolerant genotypes require comprehensive evaluation using multiple mathematical indices. However, the manual calculation of these indices from large-scale experimental datasets is time-consuming, error-prone, and computationally demanding. Here, we present PTSIonline (Plant Tolerance and Sensitivity Indices online, http://87.107.144.237 ), an integrated web-based computational platform designed to streamline the analysis of abiotic stress tolerance indices in crop breeding research. The platform implements 18 widely recognized stress evaluation indices including Tolerance Index (TOL), Mean Productivity (MP), Geometric Mean Productivity (GMP), Harmonic Mean (HM), Stress Susceptibility Index (SSI), Stress Tolerance Index (STI), Yield Index (YI), Yield Stability Index (YSI), Relative Stress Index (RSI), Superiority Index (SI), Abiotic Tolerance Index (ATI), Stress Susceptibility Percentage Index (SSPI), Relative Efficiency Index (REI), Modified Stress Tolerance Indices (K₁STI, K₂STI), Stress Distribution Index (SDI), Drought Index (DI), and Stress Non-Productivity Index (SNPI). PTSIonline features an intuitive user interface that accepts standard experimental data formats and generates comprehensive statistical outputs, visualizations, and genotype rankings within seconds. Comparative analysis demonstrates that PTSIonline provides the most extensive index coverage among available online tools while maintaining computational efficiency suitable for high-throughput phenotyping programs. The platform eliminates computational barriers in stress tolerance research, enabling researchers and plant breeders to rapidly identify superior genotypes from diverse germplasm collections. PTSIonline represents a significant advancement in computational tools for crop improvement under changing environmental conditions.

Plant phenotyping relevance

作物の収量データから耐性・感受性指標を計算し、遺伝子型順位付けを行うウェブ型解析プラットフォームが研究の中心であり、植物表現型解析向けの再利用可能なソフトウェアとして収録対象です。

Code and data availability

植物フェノタイピング解析を再現する公開資産であることを、入力本文と直接リンクから確認できなかったため保留しました。

No evidence-backed public reproduction asset is currently recorded.