| Peer-Reviewed

Assessment of Adult Plant Resistance to Stem Rust (Puccinia graminis f.sp tritici) in Wheat (Triticum aestivum L.) Mutant Lines

Received: 28 November 2019     Accepted: 18 December 2019     Published: 14 February 2020
Views:       Downloads:
Abstract

Stem rust (Puccinia graminis f. sp tritici) is a destructive disease of wheat (Triticum aestivum L.) making it a major challenge to wheat production in Kenya as well as other wheat growing countries. Due to this, mutation breeding has been as a source of increasing variability and confers specific improvement to the Kenyan varieties without significantly altering its phenotype. The objective of this study was to determine adult plant resistance of wheat mutant lines to stem rust across three different locations. The study area was in three locations, Nakuru County (Njoro and Mau Narok) and Meru County (Timau) during 2015-2016 cropping season. Sixty three mutant lines and six checks (NJBWII, Duma and Kwale, Kingbird, Robin and Cacuke) were evaluated under field conditions with three replications in an alpha lattice (23 rows by 3 columns) design. Mean for area under disease progress curve and coefficient of infection revealed that Duma200gry (1026), Duma200gry (1124) were best disease performers. The calculated variance (Si) distinguished stable genotypes in terms of disease and yield which included Duma100gry (995) and Kwale100gry (1483), respectively. There was positive effect of dosage 400gry on the mutant lines in terms of disease, yield and 1000 kernel weight, mostly with the Duma mutant lines. The mean grain yield for the genotypes ranged from 5.5 to 14.1 t ha-1. Genotype, location and genotype by location interaction for the area under disease progress curve, coefficient of infection and yield were significant at P< 0.01 and P<0.001. There was a negative correlation displayed between yield and disease components. R-Square values revealed 0.1508 and 0.3911 of the variation in yield was contributed by the disease severity and area under disease progress curve, respectively. Considering the best lines both in disease and yield can be taken for further screening in breeding programmes.

Published in American Journal of Agriculture and Forestry (Volume 8, Issue 1)
DOI 10.11648/j.ajaf.20200801.15
Page(s) 30-39
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Adult Plant Resistance, Multi-locations, Stem Rust, Wheat

References
[1] B. Admassu, V. Lind, W. Friedt, and F. Ordon, F. “Virulence analysis of Puccinia graminis f. sp. tritici populations in Ethiopia with special consideration of Ug99”. Plant Pathology 58, 362-369, 2008.
[2] G. N Agrios, “Plant Pathology”, 3rd Edition. London, New York, Academic Press, 1988.
[3] R. Berghaus, and H. J Reisener, “Changes in photosynthesis of wheat plants infected with wheat stem rust (Puccinia graminis f. sp. tritici)”. Journal of Phytopathology 112: 165–172, 1985.
[4] E. W. A Boehm, J. C Wenstrom, D. J McLaughlin, L. J Szabo, A. P Roelfs, and W. R Bushnell, “An ultrastructural pachytene karyotype for Puccinia graminis f. sp. tritici”. Canadian Journal of Botany, 70, 401–413, 1992.
[5] C. Boyle, and D. Walters, “Induction of systemic protection against rust infection in broad bean by saccharin: Effects on plant growth and development”. New Phytopathology. 167, 607 and 612, 2005.
[6] Food and Agriculture Organization (FAO), “Crop prospects and food situation”. Retrieved from www.fao.org/giews/, 26 July 2012.
[7] T. R Francis, and L. W Kannenburg, “Yield stability studies in short-season maize. I. A descriptive method for grouping genotypes”. Canadian Journal of Plant Science, 58, 1029-1034, 1978.
[8] R. Jaetzold, H. Schmidt, B. Hornetz, and C. Shisanya, “Farm management Handbook” Vol. II, 2nd Edition. Part B Central Kenya. Subpart B1a: Southern Rift Valley, 2010.
[9] C. S Lin, M. R Binns, and L. P Letkovitch, “Stability analysis: Where do we stand?” Crop Science, 26, 894-899, 1986.
[10] J. K Macharia, and R. Wanyera, “Effect of stem rust race Ug99 on grain yield and yield components of wheat cultivars in Kenya”. Journal of Agricultural Science and Technology, 2, 423-431, 2012.
[11] M. Maluszynski, and I. Szarejko, “Induced mutations in the green and gene Revolutions”. In: Tuberosa R., Phillips R. L., Gale M. (eds.), Proceedings of the International Congress (pp. 403-425), 2003 “In the Wake of the Double Helix: From the Green Revolution to the Gene Revolution.
[12] R. A McIntosh, G. E Hart, K. M Devos, M. D Gale, and W. J Rogers, “Catalogue of gene symbols for wheat”, In A. E. Slinkard (Ed), Proceedings of the 9th International Wheat Genetics Symposium, Saskatoon: Canada, pp. 1-235, 1998.
[13] P. N Njau, R. Wanyera, G. K Macharia, J. Macharia, R. Singh, and B. Keller, “Resistance in Kenyan bread wheat to recent eastern African isolate of stem rust”, Puccinia graminis f. sp. tritici, Ug99” Journal of Plant Breeding and Crop Science 1 (2), 022-027, 2009.
[14] P. N Njau, Y. Jin, J. Huerta-Espino, B. Keller, and R. P Singh, “Identification and evaluation of sources of resistance to stem rust race Ug99 in wheat”. Plant Disease, 94, 413-419, 2010.
[15] F. M Nzuve, S. Bhavani, G. Tusiime, P. Njau, and R. Wanyera, “Evaluation of bread wheat for both seedling and adult plant resistance to stem rust”. African Journal of Plant Science 6: 426– 432, 2012.
[16] R. F Park, “Stem rust of wheat in Australia”. Australian Journal of Agricultural Resource, 58, 558-566, 2007.
[17] M. A. J Parry, P. J Madgwick, C. Bayon, K. Tearall, A. H Lopez, M. Baudo, M. Rakszegi, W. Hamada, A. A Yasin, H. Quabbou, M. Labhilili, and A. L Phillip, “Mutation discovery for crop improvements”. Journal Expert of Botany, 60 (10), 2817-2825, 2009.
[18] R. F Peterson, A. B Campbell, and A. E Hannah, “A diagrammatic scale for estimating rust intensity of leaves and stems of cereals”. Canadian Journal of Resistance, 26, 496-500, 1948.
[19] Z. A Pretorius, K. W Pakendorf, G. F Marais, R. Prins, and J. S Komen, “Challenges for sustainable cereal rust control in South Africa”. Australian Journal of Agricultural Research. 58, 593–601, 2007.
[20] A. Priyamvada, M. S Saharan, and T. Ratan, “Durable resistance in wheat”. International Journal of Genetics and Molecular Biology, 3, 104-114, 2011.
[21] A. P Roelfs, “Wheat and rye stem rust”. In Roelfs A. P, and Bushnell, W. R., (eds). The Cereal Rusts Diseases, Distribution, Epidemiology, and Control (Pp. 3-37), 1985. Academic Press, Orlando.
[22] A. P Roelfs, R. P Singh, and E. E Saari, “Rust Diseases of Wheat: Concepts and Methods of Disease Management”, pp 81, 1992. D. F. CIMMTY, Mexico.
[23] E. E Saari, and J. M Prescott, “World distribution in relation to economic losses”.“The Cereal Rusts Vol. II. Diseases, Distribution, Epidemiology, and Control” (Roelfs, A. P., and Bushnell, W. R. (eds) pp. 259-98, 1985. Academic Press, Orland.
[24] SAS Institute Inc., “The SAS system for Windows”, released 9.1.3 SAS Institute, Cary, NC, 2002.
[25] R. P Singh, H. M William, J. Huerta-Espino, and G. Rosewarne, “Wheat rust in Asia: Meeting the challenges with old and new technologies”. In “New Directions for Diverse Planet. Proceedings of the 4th International Crop Science Congress’’ http://www.Cropscience.org.au./icsc2004/symposia/3/7/141_singhrp.htm. September 26-October 1, 2004. Brisbane, Australia.
[26] R. P Singh, D. P Hodson, Y. Jin, J. Huerta-Espino, M. Kinyua, R. Wanyera, P. Njau, and R. W Ward, “Current status, likely migration and strategies to mitigate the threat to wheat production from race Ug99 (TTKS) of stem rust pathogen”. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 1, 54, 2006.
[27] R. P Singh, D. P Hodson, J. Huerta-Espino, Y. Jin, P. Njau, R. Wanyera, S. A Herrera-Foessel, and R. W Ward, “Will Stem Rust Destroy the World’s Wheat Crop?” Advance Agronomy, 98, 271-309, 2008.
[28] R. P Singh, D. P Hodson, J. Huerta-Espino, Y. Jin, S. Bhavani, P. Njau, S. Herrera-Foessel, Pawan, K. Singh, S. Singh, and V. Govindan, “The Emergence of Ug99 Races of the Stem Rust Fungus is a Threat to World Wheat Production”. Annual Review of Phytopatholothy, 49, 465 – 482, 2011.
[29] S. Tabassum, “Evaluation of Advance Wheat Lines for Slow Yellow Rusting (Puccinia striiformis f. sp. tritici)”, Journal of Agricultural Science, 3 (1), 239–249, 2011.
[30] R. Wanyera, M. G Kinyua, Y. Jin, and R. P Singh, “The spread of the stem rust caused by Puccinia graminis f. sp. tritici, with virulence on Sr31 in wheat in Eastern Africa”. Plant Disease, 90, 113, 2006.
[31] R. Wanyera, “Status and impact of TTKS (Ug99)”. In Kenya. In Singh, G. P., Prabhu, K. V. and Singh, A. M. (Eds). Proceeding of International Conference on Wheat Stem Rust Ug99- A Threat to Food Security (pp 12-14), 2008. Indian Agricultural Research Institute, New Delhi, India.
[32] R. D Wilcoxson, B. Skovmand, and A. H Atif, “Evaluation of wheat cultivars ability to retard development of stem rust.” Annuals of Applied Biology, 80, 275-2181, 1975.
[33] J. C Zadok, T. T Chang, and C. F Konzak, “A decimal code for growth stages of cereals”. Weed Research, 14, 415-421, 1974.
Cite This Article
  • APA Style

    Emmaculate Akinyi Ogutu, Miriam Karwitha Charimbu. (2020). Assessment of Adult Plant Resistance to Stem Rust (Puccinia graminis f.sp tritici) in Wheat (Triticum aestivum L.) Mutant Lines. American Journal of Agriculture and Forestry, 8(1), 30-39. https://doi.org/10.11648/j.ajaf.20200801.15

    Copy | Download

    ACS Style

    Emmaculate Akinyi Ogutu; Miriam Karwitha Charimbu. Assessment of Adult Plant Resistance to Stem Rust (Puccinia graminis f.sp tritici) in Wheat (Triticum aestivum L.) Mutant Lines. Am. J. Agric. For. 2020, 8(1), 30-39. doi: 10.11648/j.ajaf.20200801.15

    Copy | Download

    AMA Style

    Emmaculate Akinyi Ogutu, Miriam Karwitha Charimbu. Assessment of Adult Plant Resistance to Stem Rust (Puccinia graminis f.sp tritici) in Wheat (Triticum aestivum L.) Mutant Lines. Am J Agric For. 2020;8(1):30-39. doi: 10.11648/j.ajaf.20200801.15

    Copy | Download

  • @article{10.11648/j.ajaf.20200801.15,
      author = {Emmaculate Akinyi Ogutu and Miriam Karwitha Charimbu},
      title = {Assessment of Adult Plant Resistance to Stem Rust (Puccinia graminis f.sp tritici) in Wheat (Triticum aestivum L.) Mutant Lines},
      journal = {American Journal of Agriculture and Forestry},
      volume = {8},
      number = {1},
      pages = {30-39},
      doi = {10.11648/j.ajaf.20200801.15},
      url = {https://doi.org/10.11648/j.ajaf.20200801.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20200801.15},
      abstract = {Stem rust (Puccinia graminis f. sp tritici) is a destructive disease of wheat (Triticum aestivum L.) making it a major challenge to wheat production in Kenya as well as other wheat growing countries. Due to this, mutation breeding has been as a source of increasing variability and confers specific improvement to the Kenyan varieties without significantly altering its phenotype. The objective of this study was to determine adult plant resistance of wheat mutant lines to stem rust across three different locations. The study area was in three locations, Nakuru County (Njoro and Mau Narok) and Meru County (Timau) during 2015-2016 cropping season. Sixty three mutant lines and six checks (NJBWII, Duma and Kwale, Kingbird, Robin and Cacuke) were evaluated under field conditions with three replications in an alpha lattice (23 rows by 3 columns) design. Mean for area under disease progress curve and coefficient of infection revealed that Duma200gry (1026), Duma200gry (1124) were best disease performers. The calculated variance (Si) distinguished stable genotypes in terms of disease and yield which included Duma100gry (995) and Kwale100gry (1483), respectively. There was positive effect of dosage 400gry on the mutant lines in terms of disease, yield and 1000 kernel weight, mostly with the Duma mutant lines. The mean grain yield for the genotypes ranged from 5.5 to 14.1 t ha-1. Genotype, location and genotype by location interaction for the area under disease progress curve, coefficient of infection and yield were significant at P< 0.01 and P<0.001. There was a negative correlation displayed between yield and disease components. R-Square values revealed 0.1508 and 0.3911 of the variation in yield was contributed by the disease severity and area under disease progress curve, respectively. Considering the best lines both in disease and yield can be taken for further screening in breeding programmes.},
     year = {2020}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Assessment of Adult Plant Resistance to Stem Rust (Puccinia graminis f.sp tritici) in Wheat (Triticum aestivum L.) Mutant Lines
    AU  - Emmaculate Akinyi Ogutu
    AU  - Miriam Karwitha Charimbu
    Y1  - 2020/02/14
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ajaf.20200801.15
    DO  - 10.11648/j.ajaf.20200801.15
    T2  - American Journal of Agriculture and Forestry
    JF  - American Journal of Agriculture and Forestry
    JO  - American Journal of Agriculture and Forestry
    SP  - 30
    EP  - 39
    PB  - Science Publishing Group
    SN  - 2330-8591
    UR  - https://doi.org/10.11648/j.ajaf.20200801.15
    AB  - Stem rust (Puccinia graminis f. sp tritici) is a destructive disease of wheat (Triticum aestivum L.) making it a major challenge to wheat production in Kenya as well as other wheat growing countries. Due to this, mutation breeding has been as a source of increasing variability and confers specific improvement to the Kenyan varieties without significantly altering its phenotype. The objective of this study was to determine adult plant resistance of wheat mutant lines to stem rust across three different locations. The study area was in three locations, Nakuru County (Njoro and Mau Narok) and Meru County (Timau) during 2015-2016 cropping season. Sixty three mutant lines and six checks (NJBWII, Duma and Kwale, Kingbird, Robin and Cacuke) were evaluated under field conditions with three replications in an alpha lattice (23 rows by 3 columns) design. Mean for area under disease progress curve and coefficient of infection revealed that Duma200gry (1026), Duma200gry (1124) were best disease performers. The calculated variance (Si) distinguished stable genotypes in terms of disease and yield which included Duma100gry (995) and Kwale100gry (1483), respectively. There was positive effect of dosage 400gry on the mutant lines in terms of disease, yield and 1000 kernel weight, mostly with the Duma mutant lines. The mean grain yield for the genotypes ranged from 5.5 to 14.1 t ha-1. Genotype, location and genotype by location interaction for the area under disease progress curve, coefficient of infection and yield were significant at P< 0.01 and P<0.001. There was a negative correlation displayed between yield and disease components. R-Square values revealed 0.1508 and 0.3911 of the variation in yield was contributed by the disease severity and area under disease progress curve, respectively. Considering the best lines both in disease and yield can be taken for further screening in breeding programmes.
    VL  - 8
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Department of Crops, Horticulture and Soils, Faculty of Agriculture, Egerton University, Nakuru-Egerton, Kenya

  • Department of Crops, Horticulture and Soils, Faculty of Agriculture, Egerton University, Nakuru-Egerton, Kenya

  • Sections