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iPASTIC: An online toolkit to estimate plant abiotic stress indices.


ABSTRACT:

Premise

In crop breeding programs, breeders use yield performance in both optimal and stressful environments as a key indicator for screening the most tolerant genotypes. During the past four decades, several yield-based indices have been suggested for evaluating stress tolerance in crops. Despite the well-established use of these indices in agronomy and plant breeding, a user-friendly software that would provide access to these methods is still lacking.

Methods and results

The Plant Abiotic Stress Index Calculator (iPASTIC) is an online program based on JavaScript and R that calculates common stress tolerance and susceptibility indices for various crop traits including the tolerance index (TOL), relative stress index (RSI), mean productivity (MP), harmonic mean (HM), yield stability index (YSI), geometric mean productivity (GMP), stress susceptibility index (SSI), stress tolerance index (STI), and yield index (YI). Along with these indices, this easily accessible tool can also calculate their ranking patterns, estimate the relative frequency for each index, and create heat maps based on Pearson's and Spearman's rank-order correlation analyses. In addition, it can also render three-dimensional plots based on both yield performances and each index to separate entry genotypes into Fernandez's groups (A, B, C, and D), and perform principal component analysis. The accuracy of the results calculated from our software was tested using two different data sets obtained from previous experiments testing the salinity and drought stress in wheat genotypes, respectively.

Conclusions

iPASTIC can be widely used in agronomy and plant breeding programs as a user-friendly interface for agronomists and breeders dealing with large volumes of data. The software is available at https://mohsenyousefian.com/ipastic/.

SUBMITTER: Pour-Aboughadareh A 

PROVIDER: S-EPMC6636621 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Publications

<i>i</i>PASTIC: An online toolkit to estimate plant abiotic stress indices.

Pour-Aboughadareh Alireza A   Yousefian Mohsen M   Moradkhani Hoda H   Moghaddam Vahed Mohammad M   Poczai Peter P   Siddique Kadambot H M KHM  

Applications in plant sciences 20190717 7


<h4>Premise</h4>In crop breeding programs, breeders use yield performance in both optimal and stressful environments as a key indicator for screening the most tolerant genotypes. During the past four decades, several yield-based indices have been suggested for evaluating stress tolerance in crops. Despite the well-established use of these indices in agronomy and plant breeding, a user-friendly software that would provide access to these methods is still lacking.<h4>Methods and results</h4>The Pl  ...[more]

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