iPASTIC : An online toolkit to estimate plant abiotic stress indices

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dc.contributor.author Pour-Aboughadareh, Alireza
dc.contributor.author Yousefian, Mohsen
dc.contributor.author Moradkhani, Hoda
dc.contributor.author Poczai, Péter
dc.contributor.author Siddique, Kadambot HM
dc.date.accessioned 2019-08-12T11:09:01Z
dc.date.available 2019-08-12T11:09:01Z
dc.date.issued 2019-07
dc.identifier.citation Pour-Aboughadareh , A , Yousefian , M , Moradkhani , H , Poczai , P & Siddique , K HM 2019 , ' iPASTIC : An online toolkit to estimate plant abiotic stress indices ' , Applications in Plant Sciences , vol. 7 , no. 7 , 11278 . https://doi.org/10.1002/aps3.11278
dc.identifier.other PURE: 116935288
dc.identifier.other PURE UUID: 7b9916d6-82c2-4d0c-ad18-83479a3b1bbe
dc.identifier.other WOS: 000480770300005
dc.identifier.uri http://hdl.handle.net/10138/304504
dc.description.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/. en
dc.format.extent 6
dc.language.iso eng
dc.relation.ispartof Applications in Plant Sciences
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 112 Statistics and probability
dc.subject 1183 Plant biology, microbiology, virology
dc.subject 113 Computer and information sciences
dc.subject 4111 Agronomy
dc.subject abiotic stresses
dc.subject online software
dc.subject principal component analysis
dc.subject selection index
dc.subject three-dimensional plot
dc.subject tolerance and susceptibility indices
dc.subject DROUGHT TOLERANCE INDEXES
dc.subject SPRING WHEAT CULTIVARS
dc.subject GRAIN-YIELD
dc.subject RESISTANCE
dc.subject SELECTION
dc.subject INSIGHT
dc.subject HEAT
dc.title iPASTIC : An online toolkit to estimate plant abiotic stress indices en
dc.type Editorial
dc.contributor.organization Embryophylo
dc.contributor.organization Finnish Museum of Natural History
dc.description.reviewstatus Non peer reviewed
dc.relation.doi https://doi.org/10.1002/aps3.11278
dc.relation.issn 2168-0450
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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