Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-15T11:14:29.441Z Has data issue: false hasContentIssue false
  • English
  • Français

Sequential sampling plan for area-wide management of Rhynchophorus ferrugineus (Olivier) in date palm plantations of Saudi Arabia

Published online by Cambridge University Press:  01 September 2010

J.R. Faleiro ,
Abdallah Ben Abdallah ,
J. Ashok Kumar ,
Abdallah Shagagh  and
Saad Al Abdan
J.R. Faleiro*
Affiliation:
ICAR Research Complex for Goa, Ela, Old Goa, 403 402Goa, India
Abdallah Ben Abdallah
Affiliation:
National Date Palm Research Centre, PO Box 43, Al Hassa31982, Saudi Arabia:
J. Ashok Kumar
Affiliation:
ICAR Research Complex for Goa, Ela, Old Goa, 403 402Goa, India
Abdallah Shagagh
Affiliation:
National Date Palm Research Centre, PO Box 43, Al Hassa31982, Saudi Arabia:
Saad Al Abdan
Affiliation:
Directorate of Agriculture, Al Hassa31982, Saudi Arabia
*
*E-mail: [email protected]
Get access

Abstract

A decision-making sampling plan was developed to initiate new and validate ongoing area-wide red palm weevil Rhynchophorus ferrugineus (Olivier) integrated pest management (IPM) programmes in date palm plantations of Saudi Arabia based on the concept of sequential sampling. Spatial distribution studies revealed that R. ferrugineus population was aggregated and followed the negative binomial series with a mean aggregation index (common K) value of 3.56. In the sampling plan developed, young date palms are inspected in a sequence in units of 100 palms (1 ha) until an accurate decision on the infestation level can be made. The plan rates infestations as low and high if d0 ≤ 0.478n − 7.519 and d1 ≥ 0.478n+7.519, respectively, where d0 and d1 are the cumulative maximum and minimum infested palms per ha (100 young palms) for not recommending and recommending area-wide management of R. ferrugineus, respectively, and n is the area sampled in ha. In this sampling plan, if 100 palms are inspected and eight or more infestations are detected, then area-wide R. ferrugineus IPM is required. On a 100 ha scale (10,000 palms) the plan becomes stricter and permits only 55 infestations.

Keywords

date palmred palm weevilspatial distributionsequential samplingRhynchophorus ferrugineusIPM
Type
Research Paper
Information
International Journal of Tropical Insect Science , Volume 30 , Issue 3 , September 2010 , pp. 145 - 153
Copyright
Copyright © ICIPE 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abraham, V. A., Faleiro, J. R., Al Shuaibi, M. A. and Prem Kumar, T. (2000) A strategy to manage red palm weevil Rhynchophorus ferrugineus Oliv. on date palm Phoenix dactylifera L. – its successful implementation in Al Hassa, Kingdom of Saudi Arabia. Pestology 24, 23–30.Google Scholar
Abraham, V. A., Mahmood Al, Shuaibi, Faleiro, J. R., Abozuhairah, R. A. and Vidyasagar, P. S. P. V. (1998) An integrated approach for the management of red palm weevil Rhynchophorus ferrugineus Oliv. – a key pest of date palm in the Middle East. Sultan Qaboos University Journal for Scientific Research (Agricultural Science) 3, 77–83.Google Scholar
Al-Khatri, S. A. (2004) Date palm pests and their control, pp. 84–88. In Proceedings, Date Palm Regional Workshop on Ecosystem-Based IPM for Date Palm in Gulf Countries. UAE University, Al Ain, UAE.Google Scholar
Anonymous (1998) Final report (Part A) – red palm weevil control project, submitted by the Indian Technical Team to the Ministry of Agriculture and Water, Kingdom of Saudi Arabia. 65 pp.Google Scholar
Beyo, J., Nibouche, S., Goze, E. and Deguine, J. P. (2004) Application of probability distribution to the sampling of cotton bollworms (Lepidoptera: Noctuidae) in Northern Cameroon. Crop Protection 23, 1111–1117.CrossRefGoogle Scholar
Binns, M. R. and Nyrop, J. P. (1992) Sampling insect populations for the purpose of IPM decision making. Annual Review of Entomology 37, 427–453.CrossRefGoogle Scholar
Binns, M. R., Nyrop, J. P. and Van der Werf, W. (2000) Sampling and Monitoring for Crop Protection Decision-Making. CAB International, London. 284 pp.Google Scholar
Bliss, C. I. and Owen, A. R. G. (1958) Negative binomial distributions with a common ‘K’. Biometrika 45, 37–58.Google Scholar
El-Ezaby, F., Khalifa, O. and El Assal, A. (1998) Integrated pest management for the control of red palm weevil in the UAE Eastern Region (edited by Rahman Al Afifi, M. A. and Al Sharif Al Badawy, A.), pp. 269–281. In Proceedings, First International Conference on Date Palms, March 1998, Al-Ain, UAE. Faculty of Agricultural Sciences, UAE University, Al Ain.Google Scholar
Elliott, J. M. (1979) Some Methods for the Statistical Analysis of Samples of Benthic Invertebrates. Fresh Water Biological Association, Ambleside. 159 pp.Google Scholar
El-Sabea, A. M. R., Faleiro, J. R. and Abo El Saad, M. M. (2009) The threat of red palm weevil Rhynchophorus ferrugineus to date plantations of the Gulf region of the Middle East: an economic perspective. Outlook on Pest Management 20, 131–134.Google Scholar
Faleiro, J. R. (2006) A review of the issues and management of red palm weevil Rhyncophorus ferrugineus (Coleoptera: Rhynchophoridae) in coconut and date palm during the last one hundred years. International Journal of Tropical Insect Science 26, 135–154.Google Scholar
Faleiro, J. R. (2008) Consultancy Report, submitted to the FAO of the United Nations on completion of the first 30-day IPM mission on red palm weevil at the National Date Palm Research Centre, Al Hassa, Saudi Arabia. 31 pp.Google Scholar
Faleiro, J. R. and Ashok Kumar, J. (2008) A rapid decision sampling plan for implementing area-wide management of red palm weevil, Rhynchophorus ferrugineus, in coconut plantations of India. Journal of Insect Science 8, 15 (available at:insectscience.org/8.15).CrossRefGoogle ScholarPubMed
Faleiro, J. R., Ashok Kumar, J. and Rangnekar, P. A. (2002) Spatial distribution of red palm weevil Rhynchophorus ferrugineus Oliv. (Coleoptera: Cuculionidae) in coconut plantations. Crop Protection 21, 171–176.CrossRefGoogle Scholar
Hallett, R. H., Gries, G., Borden, J. H., Czyzewska, E., Oehlschlager, A. C., Pierce, H. D. Jr, Angerilli, N. P. D. and Rauf, A. (1993) Aggregation pheromones of two Asian palm weevils, Rhynchophorus ferrugineus and R. vulneratus. Naturwissenschaften 80, 328–331.CrossRefGoogle Scholar
Harcourt, D. G. (1966) Sequential sampling plan for the imported cabbage worm Pieris rapae (L.). Canadian Entomologist 98, 741–746.Google Scholar
Morris, R. F. (1954) A sequential sampling technique for spruce bud worm egg surveys. Canadian Journal of Zoology 32, 302–313.CrossRefGoogle Scholar
Oakland, G. B. (1950) An application of sequential analysis to white fish sampling. Biometrics 6, 59–67.CrossRefGoogle Scholar
Oehlschlager, A. C. (2005) Current status of trapping palm weevils and beetles. The Planter 81, 123–143. Reproduced from Proceedings, Date Palm Regional Workshop on Ecosystem-Based IPM for Date Palm in the Gulf Countries. 28–30 March 2004, Al-Ain, UAE.Google Scholar
Pieters, E. P. and Sterling, W. L. (1974) A sequential sampling plan for the cotton fleahopper, Pseudomoscelis seriatus. Environmental Entomology 3, 102–106.CrossRefGoogle Scholar
Ruesink, W. G. and Kogan, M. (1974) The quantitative basis of pest management: sampling and measuring, pp. 309–352. In Introduction to Insect Pest Management, vol. 9 (edited by Metcalf, R. L. and Luckman, W. H.). John Wiley and Sons, New York.Google Scholar
Shepard, M., Ferrer, E. R., Kenmore, P. E. and Sumangil, J. P. (1986) Sequential sampling: plant hoppers in rice. Crop Protection 5, 319–322.Google Scholar
Smith, J. P. and Shepard, B. M. (2004) A binomial sequential sampling plan using a composite threshold for caterpillar management in fresh market collard. Journal of Agriculture and Urban Entomology 21, 171–184.Google Scholar
Southwood, T. R. E. (1978) Ecological Methods, with Particular Reference to the Study of Insect Populations. Chapman & Hall, London. 2nd edn. 524 pp.Google Scholar
Stern, V. M., Smith, R. F., Van Den Bosch, R. and Hagen, K. S. (1959) The integrated control concept. Hilgardia 29, 81–101.CrossRefGoogle Scholar
Sujatha, A., Chalapathirao Rao, N. B. V. and Rao, D. V. R. (2006) Field evaluation of two pheromone lures against red weevil (Rhynchophorus ferrugineus Oliv.) in coconut gardens in Andhra Pradesh. Journal of Plantation Crops 34, 414–416.Google Scholar
Vidyasagar, P. S. P. V., Mohammed Hagi, , Abozuhairah, R. A., Al Mohanna, O. E. and Al Saihati, A. A. (2000) Impact of mass pheromone trapping on red palm weevil adult population and infestation level in date palm gardens of Saudi Arabia. The Planter 76, 347–355.Google Scholar
Wald, A. (1947) Sequential Analysis. John Wiley and Sons, New York. 212 pp.Google Scholar
Waters, W. E. (1955) Sequential sampling in forest insect surveys. Forest Science 1, 68–79.Google Scholar
Waters, W. E. (1959) A quantitative measure of aggregation in insects. Journal of Economic Entomology 52, 1180–1184.Google Scholar
Yu, R. and Leung, P. (2006) Optimal pest management: a reproductive pollutant perspective. International Journal of Pest Management 52, 155–166.Google Scholar
Zaid, A., De Wet, P. F., Djerbi, M. and Oihab, A. (2002) Diseases and pests of date palm. In Date Palm Cultivation (edited by Zaid, A). FAO Plant Production and Protection Paper no. 156, Rev. 1. FAO, Rome.Google Scholar