Volume 12, Issue 2, December 2014, Pages 509–514
Yosef Hamba1, Dejene Getachew2, and Mohammed Kasso3
1 Department of Molecular Biology and Biotechnology, Pan African University Institute of Basic Science, Technology and Innovation at Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya
2 Department of Life Science stream of Biology, Dire Dawa University, Dire Dawa, Ethiopia
3 Department of Zoological Sciences, Addis Ababa University, P.O. Box 176, Addis Ababa, Ethiopia
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Aims: This study focused on the assessment and identification of key insect pests on sweet oranges (Citrus sinensis) plantation in Tony farm of Dire Dawa town. It was also explain the abundance of key pests and effective controlling methods.
Methodology and Results: The farm lands of sweet oranges stratified in to nursery stage and adult stage by using stratification method technique. Then random sampling method of data collection was carried out in both strata. By this method direct observations were taken place and the data collected from this area were analyzed. The larvae and adult stages of key insect pests of sweet oranges were identified by using the dissecting microscope. Citrus leaf miners, leaf dogs and cottony cushion scale are key insect pests of sweet oranges in this area. From these citrus leaf miners are highly dominant where as orange dog is less in abundance.
Conclusions: Citrus sinensis plants in Tony farm are highly damaged by these key insect pests particularly nursery stages of plants are devastated.
Author Keywords: Citrus leaf miner, Cottony cushion scale, Leaf dog, dissecting microscopy, larvae.
Yosef Hamba1, Dejene Getachew2, and Mohammed Kasso3
1 Department of Molecular Biology and Biotechnology, Pan African University Institute of Basic Science, Technology and Innovation at Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya
2 Department of Life Science stream of Biology, Dire Dawa University, Dire Dawa, Ethiopia
3 Department of Zoological Sciences, Addis Ababa University, P.O. Box 176, Addis Ababa, Ethiopia
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Aims: This study focused on the assessment and identification of key insect pests on sweet oranges (Citrus sinensis) plantation in Tony farm of Dire Dawa town. It was also explain the abundance of key pests and effective controlling methods.
Methodology and Results: The farm lands of sweet oranges stratified in to nursery stage and adult stage by using stratification method technique. Then random sampling method of data collection was carried out in both strata. By this method direct observations were taken place and the data collected from this area were analyzed. The larvae and adult stages of key insect pests of sweet oranges were identified by using the dissecting microscope. Citrus leaf miners, leaf dogs and cottony cushion scale are key insect pests of sweet oranges in this area. From these citrus leaf miners are highly dominant where as orange dog is less in abundance.
Conclusions: Citrus sinensis plants in Tony farm are highly damaged by these key insect pests particularly nursery stages of plants are devastated.
Author Keywords: Citrus leaf miner, Cottony cushion scale, Leaf dog, dissecting microscopy, larvae.
How to Cite this Article
Yosef Hamba, Dejene Getachew, and Mohammed Kasso, “Assessment and Identification of Insect Pests on Sweet Oranges (Citrus sinensis) in Tony Farm, Dire Dawa, Ethiopia,” International Journal of Innovation and Scientific Research, vol. 12, no. 2, pp. 509–514, December 2014.
