Evaluation of potential use of nootkatone against maize weevil (Sitophilus zeamais Motschulsky) and rice weevil [S. oryzae (L.)](Coleoptera: Curculionidae)

2010 ◽  
Vol 46 (2) ◽  
pp. 129-132 ◽  
Author(s):  
Lixin Mao ◽  
Gregg Henderson
Keyword(s):  
Sitophilus Zeamais ◽  
Rice Weevil ◽  
Maize Weevil ◽  
Potential Use

Comparison of full mitochondrial genomes for the rice weevil, Sitophilus oryzae and the maize weevil, Sitophilus zeamais (Coleoptera: Curculionidae)

Agri Gene ◽  
2016 ◽  
Vol 2 ◽  
pp. 29-37 ◽  
Author(s):  
James Adebayo Ojo ◽  
M. Carmen Valero ◽  
Weilin Sun ◽  
Brad S. Coates ◽  
Adebayo Amos Omoloye ◽  
...  
Keyword(s):  
Sitophilus Oryzae ◽  
Sitophilus Zeamais ◽  
Rice Weevil ◽  
Mitochondrial Genomes ◽  
Maize Weevil

scholarly journals Ancient origin and recent range expansion of the maize weevil Sitophilus zeamais, and its genealogical relationship to the rice weevil S. oryzae

2016 ◽  
Vol 107 (1) ◽  
pp. 9-20 ◽  
Author(s):  
A.S. Corrêa ◽  
C.C. Vinson ◽  
L.S. Braga ◽  
R.N.C. Guedes ◽  
L.O. de Oliveira
Keyword(s):  
Cytochrome Oxidase ◽  
Spatial Genetic Structure ◽  
Sitophilus Oryzae ◽  
Sitophilus Zeamais ◽  
Rice Weevil ◽  
Cytochrome Oxidase Subunit ◽  
Maize Weevil ◽  
Oxidase Subunit ◽  
Genealogical Relationship ◽  
Highest Posterior Density

AbstractArcheological records attest the early association of Sitophilus with stored cereals from the beginning of agriculture on Asia. The maize weevil (Sitophilus zeamais) became particularly damaging to maize, a cereal crop domesticated on Mesoamerica. We investigated the late evolutionary history of the maize weevil to gain insights on its origin, timing of association with maize, and genealogical relationship to the almost morphologically indistinguishable rice weevil (Sitophilus oryzae). Two mitochondrial genes (cytochrome oxidase subunit I and cytochrome oxidase subunit II) and the nuclear ribosomal gene region were partially sequenced. Analyses showed that the maize weevil shared no haplotypes with the rice weevil; instead, each species exhibited distinct mitogroups and ribogroups. The two weevil species likely split about 8.7 million years ago (95% highest posterior density: 4.0–15.0). Microsatellite data analyses sorted the 309 specimens from 15 populations of the maize weevil into three genotypic groups, which displayed low genetic differentiation and widespread occurrence worldwide. The maize weevil and the rice weevil are each a distinct species; both of which emerged prior to the onset of agriculture. The maize–maize weevil association took place after maize became widespread as a global crop. The maize weevil populations lack spatial genetic structure at the regional, continental, and intercontinental scales.

Biopesticidal Extractives and Compounds from Warburgia ugandensis against Maize Weevil (Sitophilus zeamais)

2015 ◽  
Vol 5 (4) ◽  
pp. 236-243
Author(s):  
Sylvia A. Opiyo ◽  
Lawrence O. A. Manguro ◽  
Dorothy A. Okoth ◽  
Anjeline A. Ochung ◽  
Charles O. Ochieng
Keyword(s):  
Sitophilus Zeamais ◽  
Maize Weevil

scholarly journals Effects of Essential Oils from 24 Plant Species on Sitophilus zeamais Motsch (Coleoptera, Curculionidae)

Insects ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 532
Author(s):  
William R. Patiño-Bayona ◽  
Leidy J. Nagles Galeano ◽  
Jenifer J. Bustos Cortes ◽  
Wilman A. Delgado Ávila ◽  
Eddy Herrera Daza ◽  
...  
Keyword(s):  
Essential Oils ◽  
Chemical Control ◽  
Sitophilus Zeamais ◽  
Contact Toxicity ◽  
Stored Products ◽  
Collateral Damage ◽  
Maize Weevil ◽  
Active Constituents ◽  
Insect Mortality ◽  
Sitophilus Zeamais Motsch

Chemical control of the maize weevil (Sitophilus zeamais) has been ineffective and presents serious collateral damage. Among plant-derived insecticides, essential oils (EOs) are suitable candidates to control this stored products pest. In this work, the insecticidal activities of 45 natural EOs against S. zeamais adults were screened, and the most promising ones (24 EOs) were characterized by GC–MS. The repellent and toxic effects (contact and fumigant) of these 24 EOs were determined, and by a cluster analysis they were classified into two groups considering its fumigant activity and contact toxicity. For the EOs with the highest fumigant potential (14 oils) and their main active constituents (17 compounds), lethal concentrations were determined. The most active EOs were those obtained from L. stoechas and L. alba, with LC50 values of 303.4 and 254.1 µL/L air and characterized by a high content of monoterpenes. Regarding the major compounds, the oxygenated monoterpenes R-(+)-pulegone (LC50 = 0.580 mg/L air), S-(-)-pulegone (LC50 = 0.971 mg/L air) and R-(-)-carvone (LC50 = 1.423 mg/L air) were the most active, as few variations in their concentrations significantly increased insect mortality.

scholarly journals Effect of X-ray irradiation on the F1 generation of Sitophilus zeamais Motschulsky and the germination rate of maize grain

2021 ◽  
Vol 82 (1) ◽  
Author(s):  
Sobifagha Princess Bell-Gam ◽  
Luke Chinaru Nwosu ◽  
Kayode David Ileke ◽  
Uwaoma Otuodichinma Aguwa
Keyword(s):  
Germination Rate ◽  
Seed Viability ◽  
Control Process ◽  
Progressive Increase ◽  
Sitophilus Zeamais ◽  
Maize Weevil ◽  
Maize Production ◽  
X Ray ◽  
Significant Difference ◽  
Flour Production

Abstract Background The use of X-ray irradiation in the control of the maize weevil, Sitophilus zeamais Motschulsky (Coleoptera: Curculionidae) infesting stored maize was tested at 60, 70 and 80 KeV as part of the international concerted efforts to save maize production and enhance food security. Investigations were done in the laboratory at mean temperature and relative humidity of 29.2 °C and 75.7%, respectively using three varieties of maize. The possibility that X-ray irradiation can affect the viability of maize grains when planted after weevil control process was also evaluated in the laboratory. Standard methods were used to achieve the specific objectives, and X-ray machine snap constituted the exposure time for each dose. Results The results revealed 10% mortality of adult weevils after 24 h and 40% mortality after a period of 7 days. The result indicates moderate effect on mortality. Progressive increase in mortality was recorded as dose increased from 60 to 80 KeV. X-ray irradiation at the doses tested did not significantly (P > 0.05) restrict S. zeamais emergence from maize grains and did not also significantly protect grains against damage and flour production. There was no difference in the pattern of daily emergence of new progenies and pattern of accumulated emergence. The relationship between X-ray irradiation doses and weight of emerging progenies require more specific analysis. Absence of significant difference between the viability of irradiated grains and un-irradiated grains strongly suggests that X-ray irradiation did not adversely affect seed viability, and this gives irradiation technique an opportunity of higher acceptability in agriculture. Conclusions We recommend > 80 KeV of X-ray irradiation or its incorporation into integrated pest management system in order to achieve effective post-harvest control of the pest.

scholarly journals Convolutional Neural Networks Using Enhanced Radiographs for Real-Time Detection of Sitophilus zeamais in Maize Grain

Foods ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 879
Author(s):  
Clíssia Barboza da Silva ◽  
Alysson Alexander Naves Silva ◽  
Geovanny Barroso ◽  
Pedro Takao Yamamoto ◽  
Valter Arthur ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Prediction Models ◽  
Sitophilus Zeamais ◽  
Human Consumption ◽  
Storage Pests ◽  
Maize Weevil ◽  
X Ray ◽  
Precise Control ◽  
X Ray Imaging

The application of artificial intelligence (AI) such as deep learning in the quality control of grains has the potential to assist analysts in decision making and improving procedures. Advanced technologies based on X-ray imaging provide markedly easier ways to control insect infestation of stored products, regardless of whether the quality features are visible on the surface of the grains. Here, we applied contrast enhancement algorithms based on peripheral equalization and calcification emphasis on X-ray images to improve the detection of Sitophilus zeamais in maize grains. In addition, we proposed an approach based on convolutional neural networks (CNNs) to identity non-infested and infested classes using three different architectures; (i) Inception-ResNet-v2, (ii) Xception and (iii) MobileNetV2. In general, the prediction models developed based on the MobileNetV2 and Xception architectures achieved higher accuracy (≥0.88) in identifying non-infested grains and grains infested by maize weevil, with a correct classification from 0.78 to 1.00 for validation and test sets. Hence, the proposed approach using enhanced radiographs has the potential to provide precise control of Sitophilus zeamais for safe human consumption of maize grains. The proposed method can automatically recognize food contaminated with hidden storage pests without manual features, which makes it more reliable for grain inspection.

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