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Evaluating leaf rust reactions of pure bread wheat landrace lines using non-parametric statistics

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Abstract

This research aims to assess genotype × environment interactions (G × E) of the leaf rust (Puccinia triticina) reactions of 29 Turkish landrace-derived pure lines over seven environments. Field experiments were conducted in Çanakkale, Edirne and Samsun (Turkey) in three consecutive growing seasons from 2011-2012 to 2013–2014 under natural conditions. Leaf rust reactions of genotypes were recorded in accordance with the Modified Cobb scale. Genotype stabilities assessed by non-parametric stability statistics. Furthermore, a Principal Component Analysis (PCA) biplot of non- parametric stability statistics were used to compare their capability for capturing both stability and leaf rust reactions of genotypes in the given dataset. PCA Biplot results showed that non-parametric parameters of Thennarasu and Percentage Availability (PA) showed a positive association with mean disease severity while Rank Means (RM) were negatively associated. Non-parametric stability analyses revealed that Genotypes 29, 25 and 15 were the most stable pure lines when only 25 and 15 could be considered as resistant-stable. In order to determine both stability and leaf rust resistance in bread wheat, PA and RM are recommended.

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References

  • Adugna, W., & Labuschagne, M. T. (2002). Genotype-environment interactions and phenotypic stability analyses of linseed in Ethiopia. Plant Breeding, 121(1), 66–71. https://doi.org/10.1046/j.1439-0523.2002.00670.x.

    Article  Google Scholar 

  • Akcura, M., & Ceri, S. (2011). Evaluation of drought tolerance indices for selection of Turkish oat (Avena sativa L.) landraces under various environmental conditions. Zemdirbyste-Agriculture, 98(2), 157–166.

    Google Scholar 

  • Akan, K., & Akcura, M. (2018). GGE biplot analysis of reactions of bread wheat pure lines selected from central anatolian landraces of Turkey to leaf rust disease (Puccinia triticina) in multiple location-years. Cereal Research Communications., 46(2), 311–320. https://doi.org/10.1556/0806.46.2018.12.

    Article  CAS  Google Scholar 

  • Akcura, M., & Kaya, Y. (2008). Nonparametric stability methods for interpreting genotype by environment interaction of bread wheat genotypes (Triticum aestivum L.). Genetics and Molecular Biology, 31(4), 906–913. https://doi.org/10.1590/S1415-47572008005000004.

    Article  Google Scholar 

  • Akcura, M., Kaya, Y., & Taner, S. (2009). Evaluation of durum wheat genotypes using parametric and nonparametric stability statistics. Turkish Journal of Field Crops, 14(2), 111–122.

    Google Scholar 

  • Allard, R. W., & Bradshaw, A. D. (1964). Implications of genotype-environmental interactions in applied plant breeding. Crop Science, 4(5), 503. https://doi.org/10.2135/cropsci1964.0011183X000400050021x.

    Article  Google Scholar 

  • Anonymous (2018). Official statistics. Turkish State Meteorological Service. www.mgm.gov.tr. ().

  • Becker, H. C., & Leon, J. (1988). Stability analysis in plant breeding. Plant Breeding, 101, 1–23.

    Article  Google Scholar 

  • Bolton, M. D., Kolmer, J. A., & Garvin, D. F. (2008). Wheat leaf rust caused by Puccinia triticina. Molecular Plant Pathology, 9(5), 563–575. https://doi.org/10.1111/j.1364-3703.2008.00487.x.

    Article  PubMed  PubMed Central  Google Scholar 

  • Duarte, J. B., & Zimmermann, M. J. (1995). Correlation among yield stability parameters in common bean. Crop Science, 35(3), 905–912. https://doi.org/10.2135/cropsci1995.0011183X003500030046x.

    Article  Google Scholar 

  • Fox, P. N., Skovmand, B., Thompson, B. K., Braun, H. J., & Cormier, R. (1990). Yield and adaptation of hexaploid spring triticale. Euphytica, 47, 57–64.

    Article  Google Scholar 

  • Huerta-Espino, J., Singh, R. P., Germán, S., McCallum, B. D., Park, R. F., Chen, W. Q., & Goyeau, H. (2011). Global status of wheat leaf rust caused by Puccinia triticina. Euphytica, 179(1), 143–160. https://doi.org/10.1007/s10681-011-0361-x.

    Article  Google Scholar 

  • Huehn, V. M. (1979). Beitrage zur erfassung der phanoty- pischen stabilitat. EDV in Medizin und Biologie, 10, 112–117.

    Google Scholar 

  • JMP. (2016). JMP® Version 13 (pp. 1989–2019). Cary, NC: SAS Institute Inc..

    Google Scholar 

  • Kang, M. (1988). A rank-sum method for selecting high-yielding, stable corn genotypes. Cereal Research Communications, 16, 113–115.

    Google Scholar 

  • Karimizadeh, R., Mohammadi, M., Sabaghnia, N., & Shefazadeh, M. K. (2012). Using Huehn’s nonparametric stability statistics to investigate genotype — Environment interaction. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 40(1), 293–301.

    Article  Google Scholar 

  • Kaya, Y., & Turkoz, M. (2016). Evaluation of genotype by environment interaction for grain yield in durum wheat using non-parametric stability statistics. Turkish Journal of Field Crops, 21, 51–59.

    Google Scholar 

  • Ketata, H., Yan, S. K., Nachit, M. (1989). Relative consistency performance across environments. Int. Symp. On physioelogy and breeding of winter cereals for stressed mediterranean environments. Montpellier, July 3–6, 1989.

  • Kilic, H., Akcura, M., & Aktas, H. (2010). Assessment of parametric and non-parametric methods for selecting stable and adapted durum wheat genotypes in multi-environments. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 38(3), 271–279.

    Google Scholar 

  • Langer, S., Frey, K. J., & Baily, T. (1979). Association of different stability models in wheat. Euphytica, 28, 17–24.

    Article  Google Scholar 

  • Lin, C. S., Binns, M. R., & Lefkovitch, L. P. (1986). Stability analysis: Where do we stand? Crop Science, 26(1), 894–900. https://doi.org/10.2135/cropsci1986.0011183X002600050012x.

    Article  Google Scholar 

  • Minitab 17 Statistical Software. (2010). State college. PA: Minitab, Inc.. www.minitab.com.

    Google Scholar 

  • Mohammadi, R., Abdulahi, A., Haghparast, R., & Armion, M. (2007). Interpreting genotype× environment interactions for durum wheat grain yields using nonparametric methods. Euphytica, 157(1–2), 239–251.

    Article  CAS  Google Scholar 

  • Mohammadi, R., & Amri, A. (2008). Comparison of parametric and non-parametric methods for selecting stable and adapted durum wheat genotypes in variable environments. Euphytica, 159(3), 419–432. https://doi.org/10.1007/s10681-007-9600-6.

    Article  Google Scholar 

  • Ozturk, M. Z., Cetinkaya, G., & Aydin, S. (2016). Climate types of Turkey according to Köppen-Geiger climate classification. Istanbul University Journal of Geography, 35, 17–27. https://doi.org/10.26650/JGEOG330955.

    Article  Google Scholar 

  • Peel, M. C., Finlayson, B. L., & McMahon, T. A. (2007). Updated world map of the koppen-Geiger climate classification. Hydrology and earth system sciences discussions. European geosciences union, 4(2), 439–473.

    Google Scholar 

  • Peterson, R. F., Campbell, A. B., & Hannah, A. E. (1948). A diagrammatic scale for estimating rust intensity on leaves and stems of cereals. Canadian Journal of Research, 26(5), 496–500.

    Article  Google Scholar 

  • Primomo, V. S., Falk, D. E., Ablett, G. R., Tanner, J. W., & Rajcan, I. (2002). Genotype x environment interactions, stability and agronomic performance of soybean with altered fatty acid profiles. Crop Science, 42(1), 37–44. https://doi.org/10.2135/cropsci2002.0037.

    Article  CAS  PubMed  Google Scholar 

  • Purchase, J. L., Hatting, H., & van Deventer, C. S. (2000). Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield performance South African Journal of Plant and Soil, 17(3), 101–107. https://doi.org/10.1080/02571862.2000.10634878.

    Article  Google Scholar 

  • Sabaghnia, N., Dehghani, H., & Sabaghpour, S. H. (2006). Non- parametric methods for interpreting genotype · environment interaction of lentil genotypes. Crop Science, 46, 1100–1106.

    Article  Google Scholar 

  • Sabaghnia, N., Mohammadi, M., & Karimizadeh, R. (2013). Interpreting genotype× environment interaction of beard wheat genotypes using different nonparametric stability statistics. Poljoprivreda i Sumarstvo, 59(2), 21.

    Google Scholar 

  • Sabaghnia, N. (2015). Identification of the most stable genotypes in multi-environment trials by using nonparametric methods. Acta agriculturae Slovenica, 105(1), 103–110.

    Article  Google Scholar 

  • Sabaghnia, N. (2016). Nonparametric statistical methods for analysis of genotype × environment interactions in plant pathology. Australasian Plant Pathology, 45(6), 571–580. https://doi.org/10.1007/s13313-016-0453-0.

    Article  Google Scholar 

  • Scapim, C. A., Oliveira, V. R., De Lucca, E., Braccini, A., Cruz, C. D., De Bastos Andrade, C. A., & Vidigal, M. C. G. (2000). Yield stability in maize (Zea mays L.) and correlations among the parameters of the Eberhart and Russell, Lin and Binns and Huehn models. Genetics and Molecular Biology, 23(2), 387–393. https://doi.org/10.1590/S1415-47572000000200025.

    Article  Google Scholar 

  • St.Pierre, C. A., Klinck, H. R., & Gauthier, F. M. (1967). Early generation selection under different environments as it influences adaptation of barley. Canadian Journal of Plant Science, 47, 507–517.

    Article  Google Scholar 

  • Shukla, G. K. (1972). Some statistical aspects of partitioning genotype-environmental components of variability. Heredity 29:237-245.

  • Thennarasu, K. (1995). On certain non-parametric proce- dures for studying genotype–environment interactions and yield stability. PhD thesis. PJ School, IARI, New Delhi, India.

  • Torres-Salinas, D., Robinson-García, N., Jiménez-Contreras, E., Herrera, F., & López-Cózar, E. D. (2013). On the use of biplot analysis for multivariate bibliometric and scientific indicators. Journal of the American Society for Information Science and Technology, 64(7), 1468–1479.

    Article  CAS  Google Scholar 

  • Yates, F., & Cochran, W. G. (1938). The analysis of groups of experiments. J.Agric.Sci., 28, 556–580.

    Article  Google Scholar 

  • Yue, G. L., Roozeboom, K. L., Schapaugh, W. T., & Liang, G. H. (1997). Evaluation of soybean cultivars using parametric and nonparametric stability estimates. Plant Breeding, 116(3), 271–275. https://doi.org/10.1111/j.1439-0523.1997.tb00995.x.

    Article  Google Scholar 

  • Yan, W. (2014). Crop variety trials: Data management and analysis. John Wiley & Sons. ISBN 978-1-118-68864-9.

  • Zali, H., Farshadfar, E., & Sabaghpour, S. H. (2011). Non-parametric analysis of phenotypic stability in chickpea (Cicer arietinum L.) genotypes in Iran. Crop Breeding Journal, 1(1), 89–100.

    Google Scholar 

  • Zewdie, Y., & Bosland, P. W. (2000). Evaluation of genotype, environment, and genotype-by-environment interaction for capsaicinoids in Capsicum annuum L. Euphytica, 111(3), 185–190. https://doi.org/10.1023/A:1003837314929.

    Article  CAS  Google Scholar 

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Acknowledgments

The authors thank the Scientific and Technological Research Council of Turkey (TUBITAK) for their financial support under project no: 111O255 and Dr. Selin Türkmen from ÇOMÜ Lapseki Vocational School for her kind support in formulating the mathematical equations of non-parametric stability statistics.

Funding

This study was funded by the Scientific and Technological Research Council of Turkey (TUBITAK) grant number: 111O255.

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Authors and Affiliations

  1. Field Crops Department, Faculty of Agriculture, Çanakkale Onsekiz Mart University, Çanakkale, Turkey

    O. Hocaoğlu & M. Akçura

  2. Plant Protection Department, Faculty of Agriculture, Kırşehir Ahi Evran University, Kırşehir, Turkey

    K. Akan

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  1. O. Hocaoğlu
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  2. K. Akan
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Correspondence to O. Hocaoğlu.

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Hocaoğlu, O., Akan, K. & Akçura, M. Evaluating leaf rust reactions of pure bread wheat landrace lines using non-parametric statistics. Phytoparasitica 48, 261–271 (2020). https://doi.org/10.1007/s12600-019-00782-7

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