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    Improved strategy of screening tolerant genotypes in drought stress based on a new program in R-language: a practical triticale breeding program

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    Author
    Saed-Moucheshi, Armin
    Mozafari, Ali Akbar
    Pessarakli, Mohammad
    Rezaei Mirghaed, Elham
    Sohrabi, Fatemeh
    Zaheri, Sara
    Barzegar Marvasti, Fatemeh
    Baniasadi, Fatemeh
    Affiliation
    School of Plant Sciences College of Agriculture & Life Sciences, The University of Arizona
    Issue Date
    2022-07-13
    Keywords
    Biplot
    heatmap
    R package
    screening
    tolerance index
    
    Metadata
    Show full item record
    Publisher
    Informa UK Limited
    Citation
    Saed-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.
    Journal
    Journal of Plant Nutrition
    Rights
    © 2022 Taylor & Francis Group, LLC.
    Collection Information
    This 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.
    Abstract
    In 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.
    Note
    12 month embargo; published online: 13 July 2022
    ISSN
    0190-4167
    EISSN
    1532-4087
    DOI
    10.1080/01904167.2022.2096467
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1080/01904167.2022.2096467
    Scopus Count
    Collections
    UA Faculty Publications

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