@article {10860,
	title = {Efficacy of some plant species for the control of cowpea weevil (Callosobruchus maculatus) and maize weevil (Sitophilus zeamais)},
	journal = {International Journal of Agriculture and Biology},
	volume = {10},
	number = {5},
	year = {2008},
	month = {2008},
	pages = {588-590},
	type = {Article},
	abstract = {The influence of leaf powders of Vitex grandifolia and Dracaena arborea incorporated into maize and cowpea flour on the survival of maize weevil (Sitophilus zeamais) and cowpea weevil (Callosobruchus maculatus), respectively was tested. Survival of adult beetles of maize and cowpea weevil was least on cowpea (10 g) and maize (10 g) flour treated with 3 g V. grandifolia (3.30-20\%, 6.70-20\%, respectively) and 3 g D. arborea (3.300-13.3\%, 0.0-3.3\%, respectively) compared to other treatments, which included different concentrations of the leaf powders. V. grandifolia was inhibitory to mean adult emergence of C. maculatus (7.00-9.33) and S. zeamais (8.00-9.67) compared with the control (15.00). However, D. arborea did not differ from the control. It is concluded that V. grandifolia has great potential for use as a plant-based biopesticide for controlling both weevil pests.},
	keywords = {Sitophilus zeamais},
	isbn = {1560-8530},
	author = {Epidi, Timothy T. and Nwani, C. D. and Udoh, S.}
}
@article {10841,
	title = {Mitochondrial Genetic Variation and Invasion History of Red Palm Weevil, Rhynchophorus ferrugineus (Coleoptera: Curculionidae), in Middle-East and Mediterranean Basin},
	journal = {International Journal of Agriculture and Biology},
	volume = {13},
	number = {5},
	year = {2011},
	month = {2011},
	pages = {631-637},
	abstract = {The Red Palm Weevil (RPW), Rhynchophorus ferrugineus (Olivier), (Coleoptera, Curculionidae, Rhynchophorinae), is an invasive pest of palm trees. RPW has invaded Middle East and several countries of the Mediterranean Basin during the last three decades. The mitochondrial genetic variation of RPW was investigated in the Middle-East and the Mediterranean basin areas using partial sequences of the Cytochrome c oxidase sub-unit 1 (CO1) gene. A 546-base pair portion of COI gene was sequenced for 310 individuals of RPW sampled from 14 different invaded countries resulting in eight different haplotypes. Eight haplotypes were subdivided into two phylogenetic groups according to their geographic positions. The obtained genetic diversity suggested that RPW population subdivided genetically into different sub-populations under the influence of genetic drift favored by founder events. RPW followed three different routes of invasion during the last 30 years. Likely, Middle-east populations and the Mediterranean ones are originating from different geographic populations of RPW. The data reported in this paper present an interesting and useful step toward the understanding of the genetic variation and invasion history of RPW. (C) 2011 Friends Science Publishers},
	keywords = {Rhynchophorus ferrugineus},
	isbn = {1560-8530; 1814-9596},
	author = {El-Mergawy, Rabab A. A. M. and Faure, Nathalie and Nasr, Mahmoud I. and Avand-Faghih, Arman and Rochat, Didier and Silvain, Jean-Francois}
}
@article {10840,
	title = {Determination of Different Geographical Populations of Rhynchophorus ferrugineus (Olivier) (Coleoptera: Curculionidae) using RAPD-PCR},
	journal = {International Journal of Agriculture and Biology},
	volume = {13},
	number = {2},
	year = {2011},
	month = {2011},
	pages = {227-232},
	abstract = {This study investigated the genetic variation among thirteen geographic populations of the red palm weevil (RPW), Rhynchophorus ferrugineus (Olivier), using the Random Amplified Polymorphic DNA-Polymerase Chain Reaction (RAPD- PCR) technique. RAPD profiles exhibited bands between 200 to 1400 bp in length. Average genetic distances among populations ranged from 0.3 to 0.8. Genetic distances among the analyzed individuals ranged from 0.241 (between individuals from populations of Egypt\&Turkey) to 1 (between individuals from populations of Japan\&both Egypt, Spain\&France). The Unweigthed Pair Group Method with Arithmetic (UPGMA) mean categorized the tested populations into twelve clusters. Based on results, it is suggested that there are two major routes of RPW invasion, the first is at the origin of all the populations found in Egypt and Mediterranean countries and second is at the origin of the populations found in the Arabic Peninsula, Iran and Pakistan. [copyright] 2011 Friends Science Publishers.},
	keywords = {Rhynchophorus ferrugineus},
	isbn = {1560-8530; 1814-9596},
	author = {El-Mergawy, Rabab A. A. M. and Al Ajlan, Abdulaziz M. and Abdallah, Naglaa A. and Nasr, Mahmould I. and Silvain, Jean-Francois}
}
@article {5967,
	title = {Detection of Insect Infestations in Paddy Field using an Electronic Nose},
	journal = {International Journal of Agriculture and Biology},
	volume = {13},
	number = {5},
	year = {2011},
	month = {2011},
	pages = {707-712},
	abstract = {An electronic nose was used to predict the number of infesting insects and the storage time of paddy rice. The multivariate statistical techniques such as principal component analysis (PCA), linear discriminant analysis (LDA), principle component regression (PCR), partial least square (PLS) and back-propagation neural networks (BPNN) were used to evaluate the electronic nose data, respectively. The PCA and LDA results showed that the electronic nose can distinguish paddy rice with different storage time (ST) and different number of infesting insects (NI). After employing PCR, PLS and BPNN, respectively to predict the infestation index (NI\&ST), the three methods all had good prediction performances. The correlation coefficient between the NI real and the three predicted values was 0.955, 0.864, and 0.996 for the PCR, the PLS and the BPNN, respectively. The correlation coefficient between the ST real and the three predicted values was 0.992, 0.852 and 0.998. BPNN model had the highest prediction accuracy. The results implied that it is possible to predict the characteristics of insect infestation in stored paddy rice from signal of electronic nose. (C) 2011 Friends Science Publishers},
	isbn = {1560-8530; 1814-9596},
	author = {Zhou, Bo and Wang, Jun}
}
