iPASTIC : An online toolkit to estimate plant abiotic stress indices

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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

Julkaisun nimi: iPASTIC : An online toolkit to estimate plant abiotic stress indices
Tekijä: Pour-Aboughadareh, Alireza; Yousefian, Mohsen; Moradkhani, Hoda; Poczai, Péter; Siddique, Kadambot HM
Tekijän organisaatio: Embryophylo
Finnish Museum of Natural History
Päiväys: 2019-07
Kieli: eng
Sivumäärä: 6
Kuuluu julkaisusarjaan: Applications in Plant Sciences
ISSN: 2168-0450
DOI-tunniste: https://doi.org/10.1002/aps3.11278
URI: http://hdl.handle.net/10138/304504
Tiivistelmä: 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/.
Avainsanat: 112 Statistics and probability
1183 Plant biology, microbiology, virology
113 Computer and information sciences
4111 Agronomy
abiotic stresses
online software
principal component analysis
selection index
three-dimensional plot
tolerance and susceptibility indices
Vertaisarvioitu: Ei
Tekijänoikeustiedot: cc_by
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: publishedVersion


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