Introducing a novel natural logarithmic indices and their corresponding percentages table towards quantitative estimation of plant tolerance levels to stressors

Paper Details

Research Paper 01/04/2018
Views (414) Download (16)
current_issue_feature_image
publication_file

Introducing a novel natural logarithmic indices and their corresponding percentages table towards quantitative estimation of plant tolerance levels to stressors

Dennis O. Omayio, David M. Musyimi, Francis N. Muyekho, SamuelI. Ajanga, Charles A.O. Midega, Zeyaur R. Khan, Innocent W. Kariuki
Int. J. Biosci.12( 4), 78-98, April 2018.
Certificate: IJB 2018 [Generate Certificate]

Abstract

The methods of evaluating tolerance levels of plants to stressors for many years have been based on indices and visual based scores which are more of descriptive and qualitative. Despite their ease of use the strategies have demonstrated errors arising from different researchers levels of perception and biases in judgment. This has resulted to inaccuracies in the generated data leading to poor monitoring and forecasting of plant stresses, especially in plant tolerance evaluations against diseases. Moreover, these techniques have been limited to the observation of one if not a few parameters separately, ignoring the complexity and dynamics of plant responses to stressors which in many cases affects different parameters of the plant variably. Despite, the development of computer imaging systems, the problem of cost and availability for developing countries is a challenge. Therefore, the objective of this study was to develop a cheap quantitative host plant tolerance levels estimation technique which is based on logarithmic efficacy indices generation and a table that can be used to predict their corresponding percentages that incorporates a novel concept known as IPLI (Integrated Parameter Logarithmic Indexing). The strategy integrates three parameters that are affected by stress significantly and generates holistic indices whose corresponding percentages estimate tolerance levels. Napier stunt disease infected napier grass treatments of accession 16789 and Bana variety were used to demonstrate how the technique works. Basing on the preliminary results their tolerance levels were estimated at 29.86% and 12.59% respectively. The approach looks promising in quantitative evaluation of the trait.

VIEWS 17

Andrivon D, Pelle R, Ellisseche D. 2006. Assessing resistance types and levels to epidemic diseases from the analysis of disease progress curves: principles and application to potato late blight. American Journal of Potato Resistance83, 455-461.

Bock CH, Poole GH, Parker PE, Gottwald TR. 2010. Plant disease severity estimated visually by digital photography and image analysis, and by hyperspectral imaging. Critical Reviews in Plant Science 29, 59–107. https://doi.org/10.1080/07352681003617.

Bramel-Cox PJ, Dixon AGO, Reese JC, Harvey TL. 1986. New approaches to the identification and development of sorghum germplasm resistant to the biotype E green bug. Proceedings of the 41st Annual Corn and Sorghum Research Conference, American Seed Trade Association, December 6-7,1989, Washington  D. C 41, 1-16.

Causton RD, Venus CS. 1981. The biometry of plant growth. Edward Arnold Publishers Ltd., Bedford square, London.

Dixon AGO, Bramel-Cox PJ, Reese JC, Harvey TL. 1990. Mechanisms of resistance and their interactions in twelve sources of resistance to biotype E greenbug (Homoptera: Aphididae) in sorghum. Journal of Economic Entomology 83, 234-240. https://doi.org/10.1093/jee/83.1.2.41.

Fernandez GCJ. 1992. Effective selection criteria for assessing stress tolerance. In: Kuo CG, Ed. Proceedings of the International Symposium on Adaptation of Vegetables and Other Food Crops in temperature and water stress, Publication, Tainan, Taiwan, 1-22.

Formusoh ES, Wilde GE, Hatchett JH, Collins RD. 1992. Resistance to Russian wheat aphid (Homoptera: Aphididae) in Tunisian wheats. Journal of Economic Entomology 85, 2505-2509. https://doi.org/10.1093/jee/85.6.25.05.

Francil LJ. 2001. The disease triangle: A plant pathological paradigm revisited. The Plant Health Instructor. Accessed on 18th/11/2017. https://doi.org/10.1094/phi-t-2001-0517-01.

Freedman BC, Beattie AG. 2008. An overview of plant defenses against pathogens and herbivores. The Plant Health Instructor. https://doi.org/10.1094/PHI-T-20010517-01.

Hunt R. 1982. Plant growth curves: The functional approach to plant growth analysis. Edward Arnold Publishers Ltd.,  Bedford square, London.

Hunt R, Causton RD, Shipley B, Askew PA. 2002. A modern tool for classical plant growth analysis. Annals of Botany 90, 485-488. https://doi.org/10.1093/aob/mcf2.14.

John AL.1998. Plant pathology and plant pathogens. Blackwell Science Publications, 3rd Edition, Cambridge.

Kabirizi J, Muyekho F, Mulaa M, Musangi R, Pallangyo B, Kawube G, Zziwa E, Mugerwa S, Ajanga S, Lukwago G, Wamalwa NIE, Kariuki I, Mwesigwa R, Nannyeenya-Ntege W, Atuhairwe A, Awalla J, Namazzi C, Nampijja Z. 2015. Napier grass feed resource; production, constraints and implications for smallholder farmers in Eastern and Central Africa. EAAPP Publication, ISBN, 978-9970-9269-1-6.

Kawube G, Alicai T, Otim M, Mukwaya A, Kabirizi J, Talwana H. 2014. Resistance of napier grass clones to napier grass stunt disease. African Crop Science Journal 22, 229-235.

Keane PJ. 2012. Horizontal or generalized resistance to plant pathogens in plants: In plant pathology. Joseph RL, Ed. ISBN,978-953-51-04896. https://doi.org/10.5772/30763.

Morgan J, Wilde G, Johnson D. 1980. Greenbug resistance in commercial sorghum hybrids in the seedling stage. Journal of Economic Entomology 73, 510-514. https://doi.org/10.1093/jee/73.4.51.0.

Mutka MA, Bart SR. 2015. Image-based phenotyping of plant disease symptoms. Frontiers in Plant Science 5, 1-8. https://doi.org/10.3389/fpls.2014.007.34.

Negawo TA, Teshome A, Kumar A, Hanson J, Jones SC. 2017. Opportunities for napier grass (Pennisetum purpureum) improvement using molecular genetics. Agronomy 2017, 1-21. https://doi.org/10.3390/agronomy70200.28.

Obura E, Midega CAO, Masiga D, Pickett JA, HassanM, Koji S, KhanZR. 2009.Reciliabanda Kramer (Hemiptera: Cicadellidae), a vector of napier stunt phytoplasma in Kenya. Biomedical and Life Sciences 96, 1169-1176. https://doi.org/10.1007/s00114-009-05.78-x.

Omayio DO, Ajanga SI, Muoma JV, Muyekho FN, Kariuki I. 2014. Internal transcribed spacer primers detect better Ustilago kamerunensis; a napier grass head smut pathogen constraining the dairy sector in Eastern Africa. Journal of Agri-food and Applied Sciences 2(9), 265-274.

Parry D. 1990. Plant pathology in agriculture. Cambridge University Press, Great Britain.

Reese CJ, Schwenke RJ. 1994. Importance and quantification of plant tolerance in crop pest management programs for aphids: Greenbug resistance in sorghum. Journal of Agricultural Entomology 11, 255-270.

Robinson J, Vivar HE, Burnett PA, Calhoun DS. 1991. Resistance to Russian wheat aphid (Hamoptcra: Aphididae) in barley genotypes. Journal of Economic Entomology 84, 674-679. https://doi.org/10.1093/jee/84.2.6.74.

Surico G. 2013. The concepts of plant pathogenicity, virulence/avirulence and effector proteins by a teacher of plant pathology. Phytopathologia Mediterranea 52(3),399-417.

Thomas C. 1998. Introduction to exponents and logarithms. University of Sydney Press, Australia.

Turano B, Tiwari UP, Jha R. 2016. Growth and nutritional evaluation of napier grass hybrids as forage for ruminants. Tropical Grasslands4(3), 168-178. https://doi.org/10.17138/TGFT(4)168-1.78.

Umbarger D. 2010.Explaining logarithms: A progression of ideas illuminating an important mathematical concept.Brown Books Publishing Group, Dallas, TX, USA.

Wamalwa NIE, Midega CAO,  Ajanga S, Omukunda NE, Ochieno MWD, Muyekho FN, Mulaa M, Zeyaur RK. 2015. Screening napier accessions for resistance/tolerance to NSD using the loop mediated isothermal amplification of DNA (LAMP): In napier grass feed resource; production, constraints and implications for smallholder farmers in Eastern and Central Africa. Kabirizi J, Muyekho F, Mulaa M, Musangi R, Pallangyo B, Kawube G, Zziwa E, Mugerwa S, Ajanga S, Lukwago G, Wamalwa NIE, Kariuki I, Mwesigwa R, Nannyeenya-Ntege W, Atuhairwe A, Awalla J, Namazzi C, Nampijja Z. 2015. EAAPP Publication, 78-93. ISBN, 978-9970-9269-1-6.

Wamalwa NIE, Midega CAO, Ajanga S, Omukunda NE, Muyekho FN, Asudi GO, Mulaa M, Khan ZR. 2017. Screening napier grass accessions for resistance to napier grass stunt disease using the loop-mediated isothermal amplification of DNA (LAMP). Crop Protection 98, 61-69. https://doi.org/10.1016/j.cropro.2017.02.00.5.

Wolpert L. 2011. Developmental biology: A very short introduction. Oxford Publishing Press, UK. https://doi.org/10.1093/actrade/9780199601196.001.00.01.

Zar HJ. 2010. Biostatistical analysis 5th edition. Prentice Hall Inc., Upper Saddle River, New Jersey.

Zhu Q, Droge-Laser W, Dixon RA, Lamb C.1996.Transcriptional activation of plant defense genes. Current Opinion in Genetic Development 6(5), 624-630. https://doi.org/10.1016/S0959-437X(96)800.93-1.

Zouzou M, Kouakou TH, Kone M, Issaka S. 2008. Screening rice (Oryza sativa L.) varieties for resistance to rice yellow mottle virus.Scientific Research and Essay 3(9), 416- 424.