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dc.contributor.authorSaed-Moucheshi, Armin
dc.contributor.authorMozafari, Ali Akbar
dc.contributor.authorPessarakli, Mohammad
dc.contributor.authorRezaei Mirghaed, Elham
dc.contributor.authorSohrabi, Fatemeh
dc.contributor.authorZaheri, Sara
dc.contributor.authorBarzegar Marvasti, Fatemeh
dc.contributor.authorBaniasadi, Fatemeh
dc.date.accessioned2022-08-04T20:31:32Z
dc.date.available2022-08-04T20:31:32Z
dc.date.issued2022-07-13
dc.identifier.citationSaed-Moucheshi, A., Mozafari, A. A., Pessarakli, M., Rezaei Mirghaed, E., Sohrabi, F., Zaheri, S., Barzegar Marvasti, F., & Baniasadi, F. (2022). Improved strategy of screening tolerant genotypes in drought stress based on a new program in R-language: A practical triticale breeding program. Journal of Plant Nutrition.en_US
dc.identifier.issn0190-4167
dc.identifier.doi10.1080/01904167.2022.2096467
dc.identifier.urihttp://hdl.handle.net/10150/665540
dc.description.abstractIn order to improve the efficiency of breeding programs related to abiotic stresses, a new package in R-based-language, “PBTolindex,” was introduced to distinguish tolerant genotypes to drought stress. Accordingly, a dataset of a practical breeding program on 30 triticale genotypes cultivated under drought stress and normal irrigation conditions in six different environments was evaluated. Correlation plot, scatter plot matrix, 3 D plot, and biplot along with indices’ values and their correlation coefficients were automatically produced as output files for considering the tested genotypes. Additionally, heatmap, a novel data mining method, was successfully applied for the first time in tolerance analysis. Our results indicated that no single suitable tolerance index could be suggested as the best one, and for any other study, different indices should be considered. Furthermore, the outputs of testing triticale genotypes indicated no suitable genotypes for both conditions. However, genotype ELTTCL15 for normal condition and genotypes ET-90-7, ELTTCL21, and ELTTCL18 for stress conditions were recommended by the program. Testing and identifying genotypes by heatmap and principal component analyses showed that the output of our program was accurate. Therefore, using this source-code in future plant breeding projects based on stress indices in any plant species is recommended.en_US
dc.language.isoenen_US
dc.publisherInforma UK Limiteden_US
dc.rights© 2022 Taylor & Francis Group, LLC.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subjectBiploten_US
dc.subjectheatmapen_US
dc.subjectR packageen_US
dc.subjectscreeningen_US
dc.subjecttolerance indexen_US
dc.titleImproved strategy of screening tolerant genotypes in drought stress based on a new program in R-language: a practical triticale breeding programen_US
dc.typeArticleen_US
dc.identifier.eissn1532-4087
dc.contributor.departmentSchool of Plant Sciences College of Agriculture & Life Sciences, The University of Arizonaen_US
dc.identifier.journalJournal of Plant Nutritionen_US
dc.description.note12 month embargo; published online: 13 July 2022en_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.identifier.pii10.1080/01904167.2022.2096467
dc.source.journaltitleJournal of Plant Nutrition
dc.source.beginpage1
dc.source.endpage18


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