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Path coefficient analysis to assess yield losses due to a multiple pest complex in cotton in Thailand

Published online by Cambridge University Press:  28 February 2007

Jean-Christophe Castella*
Affiliation:
Institut de Recherche pour le Développement(IRD), 213 rue Lafayette, 75480, Paris cedex, 10, France
Karine Dollon
Affiliation:
Institut de Recherche pour le Développement(IRD), 213 rue Lafayette, 75480, Paris cedex, 10, France
Serge Savary
Affiliation:
Institut de Recherche pour le Développement(IRD), 213 rue Lafayette, 75480, Paris cedex, 10, France
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Abstract

A network of experiments was established in three different agroecological areas at the periphery of the Central Plain of Thailand during three successive years to assess the effect of a multiple insect pest complex on cotton yield loss. A large range of combinations of jassid and bollworm injuries was achieved from the application of several insecticide treatments and sowing dates. Other pests were of minor incidence. Seed-cotton yield varied from 0 to 3600 kg/ha, and yield losses due to pests ranged between 0 and 100% of the attainable yield. Damage mechanisms were addressed through path coefficient analysis of the interaction between injuries and plant compensation. Before boll production, jassids were the most serious pests, while bollworms had a positive effect on vegetative growth. At the fructification stage, bollworms were very harmful, while sucking insects such as jassids became progressively less important. Injuries did not necessarily lead to yield losses because of the plant compensation ability. Cotton response to pest injuries depended on the development stage and crop status. Decisions made on cotton protection against pests should thus consider the development stage of the crop and interactions between injuries instead of the traditional single pest population threshold. This study of a plant–pest system exemplifies the need to incorporate plant compensation processes in the design of pest management programmes aiming at reducing insecticide use.

Type
Research Article
Copyright
Copyright © ICIPE 2005

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References

Ahmad, Z., Attique, M. R. & Rashid, A. (1985) An estimate of the loss in cotton yield in Pakistan attributable to the jassid Amrasca devastans Dist. Crop Protection 5, 105108.CrossRefGoogle Scholar
Ali, M. I., Treen, A. J., Roy, N. G. & Hossain, M. A. (1993) Management practices for cotton jassid Amrasca devastans (Dist.) in Bangladesh. International Journal of Pest Management 39, 6771.CrossRefGoogle Scholar
Asher, H. B. (1983) Causal Modeling, Second Edition. Sage, Beverly Hills, California.CrossRefGoogle Scholar
Boote, K. J., Batchelor, W. D., Jones, J. W., Pinnschmidt, H. & Bourgeois, G. (1993) Pest damage relations at the field level, pp. 277296. In Systems Approaches for Agricultural Development (Edited by Penning de Vries, F. W. T.). Kluwer Academic Publishers, Dortrecht.Google Scholar
Campbell, C. L. & Madden, L. (1990) Introduction to Plant Disease Epidemiology. John Wiley & Sons Chichester, New York, Brisbane, Toronto, Singapore.Google Scholar
Castella, J. C. (1995) Stratégies de Lutte Contre les Insectes Ravageurs dans les Systèmes de Culture Cotonniers en Thaïlande. Logiques Actuelles et Propositions pour une Gestion Durable. ORSTOM Editions, Collection TDM, Paris. 282 pp.Google Scholar
Castella, J. C., Swangsri, W. & Kimnarux, J. (1995) Thai cotton growers still far away from IPM: contribution of systems approach to a better understanding of farmers' practices. pp. 411418. In Challenging the Future Proceedings of the World Cotton Research Conference - 1. February 14–17, 1994, Brisbane (Edited by Constable, G. A. & Forrester, N. W.). CSIRO, Melbourne.Google Scholar
Castella, J. C., Jourdain, D., Trebuil, G. & Napompeth, B. (1999) A systems approach to understanding obstacles to effective implementations of IPM in Thailand: key issues for the cotton industry. Agriculture, Ecosystems and Environment 72, 1734.CrossRefGoogle Scholar
Collins, M. D. (1986) Pyrethroid resistance in the cotton bollworm, H. armigera – a case study from Thailand. Proceedings of the 1986 British Crop Protection Conference – Pests and Diseases 2, 583589.Google Scholar
Deema, P., Thongdeetae, S., Hongtrakula, T., Oonchitrawattana, T., Singhasenee, Y. & Lippold, P. (1974) Integrated control of cotton pests in Thailand. Plant Protection Service Technical Bulletin No. 23 Department of Agriculture, Ministry of Agriculture and Co-operatives, Bangkok.Google Scholar
DOA (1984) Cotton. Technical Document No. 9 80 Bangkok Ministry of Agriculture and Co-operatives, Bangkok. 27 pp.Google Scholar
Draper, N. & Smith, H. (1981) Applied Regression Analysis, Second edition John Wiley & Sons, Chichester, New York, Brisbane, Toronto, Singapore. 709 pp.Google Scholar
Forrester, N. W. & Fitt, G. P. (1991) Management of insecticide resistance in Heliothis armigera in Australia – ecological and chemical countermeasures, 8899. In Resistance '91: achievements and developments in combating pesticide resistance (Edited by Denholm, I., Devonshire, A. L. & Hollomon, D. W.). Elsevier Applied Science, London & New York.Google Scholar
Hau, B. & Kranz, J. (1990) Mathematics and statistics for analyses in epidemiology, pp. 1252. In Epidemics of Plant Diseases (Edited by Kranz, J.). Springer–Verlag, New York.CrossRefGoogle Scholar
Hearn, A. B. & Constable, G. A. (1984) Cotton, pp. 495527. In The physiology of tropical food crops (Edited by Goldsworthy, P. R. & Fisher, N. M.). John Wiley & Sons, Chichester, New York, Brisbane, Toronto, Singapore.Google Scholar
Hearn, A. B. & Room, P. M. (1979) Analysis of crop development for cotton pest management. Protection Ecology 1, 265277.Google Scholar
Johnson, K. B., Radcliffe, E. B. & Teng, P. S. (1986) Effect of interacting populations of Alternaria solani, Verticillium dahliae and the potato leafhopper ( Empoasca fabae ) on potato yield. Phytopathology 76, 10461052.CrossRefGoogle Scholar
Kogan, M. (1998) Integrated pest management: historical perspectives and contemporary developments. Annual Review of Entomology 43, 243270.CrossRefGoogle ScholarPubMed
Mabbett, T. H. (1980) Guidelines for the management of cotton pests. Entomology and Zoology Division, Department of Agriculture, Ministry of Agriculture and Co-operatives, Bangkok. 33 pp.Google Scholar
Matthews, G. A. (1989) Cotton insect pests and their management. Longman Publishers Ltd, London 199 pp.Google Scholar
Meynard, J. M. & David, G. (1992) Diagnostic de l'élaboration du rendement des cultures. Cahiers Agricultures 1, 919.Google Scholar
Mutsaers, H. J. W. (1983) Leaf growth in cotton ( Gossypium hirsutum L.). Annals of Botany 51, 503529.CrossRefGoogle Scholar
Norton, G. A. & Mumford, J. D. (1983) Decision making in pest control. Advances in Applied Biology 8, 87119.Google Scholar
Ooi, P. (1994) Cotton IPM in Asia. Bulletin of Pest Management 2, 9.Google Scholar
Peoples, T. R. & Matthews, M. A. (1981) Influence of boll removal on assimilate partitioning in cotton. Crop Science 21, 283286.CrossRefGoogle Scholar
Rabbinge, R., Ward, S. A. & Van Laar, H. H. (Eds) (1989) Simulation and systems management in crop protection. Pudoc, Wageningen. 420 pp.Google Scholar
Rasmidatta, V. (1984) Crop calendar for cotton in Thailand. Thai Journal of Agricultural Science 17, 239245.Google Scholar
Sato, T. Centre for Southeast Asian Studies (1966) Cotton, pp. 88110. In Field Crops in Thailand. Kyoto University Press, Kyoto.Google Scholar
Savary, S. (1991) Approches de la Pathologie des Cultures Tropicales. ORSTOM Karthala, Paris. 280 pp.Google Scholar
Savary, S. & Zadoks, J. C. (1992) An analysis of crop loss in the multiple pathosystem groundnut–rust–late leaf spot. Crop Protection 11, 99120.CrossRefGoogle Scholar
Savary, S., Castilla, N. P., Elazegui, F. A., McLaren, C. G., Ynalvez, M. A. & Teng, P. S. (1995) Direct and indirect effects of nitrogen supply and disease source structure on rice sheath blight spread. Phytopathology 85, 959965.CrossRefGoogle Scholar
Slosser, J. E. (1993) Influence of planting date and insecticide treatment on insect pest abundance and damage in dryland cotton. Journal of Economic Entomology 86, 12131222.CrossRefGoogle Scholar
Sokal, R. R. & Rohlf, F. J. (1981) Path analysis, pp. 642656. In Biometry. W.H. Freeman and Company, New York.Google Scholar
Teng, P. S. (Eds) (1987) Crop Loss Assessment and Pest Management. American Phytopathological Society Press Saint Paul, Minnesota. 270 pp.Google Scholar
Torres, C. Q. & Teng, P. S. (1993) Path coefficient and regression analysis of the effects of leaf and panicle blast on tropical rice yield. Crop Protection 12, 296302.CrossRefGoogle Scholar
Trumble, J. T., Kolodny–Hirsch, D. M. & Ting, I. P. (1993) Plant compensation for arthropod herbivory. Annual Review of Entomology 38, 93119.CrossRefGoogle Scholar
Ungar, E. D., Wallach, D. & Kletter, E. (1987) Cotton response to bud and boll removal. Agronomy Journal 79, 491497.CrossRefGoogle Scholar
Van Bruggen, A. H. C. & Arneson, P. A. (1986) Path coefficient analysis of effects of Rhizoctonia solani on growth and development of dry beans. Phytopathology 76, 874878.CrossRefGoogle Scholar
Wangboonkong, S. (1981) Chemical control of cotton pests in Thailand. Tropical Pest Management 27, 495500.CrossRefGoogle Scholar
Webb, R. A. (1972) Use of the boundary line in the analysis of biological data. Journal of Horticultural Science 47, 309319.CrossRefGoogle Scholar
Wiese, M. V. (1982) Crop management by comprehensive appraisal of yield determining variables. Annual Review of Phytopathology 20, 419432.CrossRefGoogle Scholar
Wilson, L. T. & Waite, G. K. (1982) Feeding pattern of australian Heliothis on cotton. Environmental Entomology 11, 297300.CrossRefGoogle Scholar
Zadoks, J. C. (1985) On the conceptual basis of crop loss assessment: the threshold theory. Annual Review of Phytopathology 23, 455473.CrossRefGoogle Scholar