Feeding on different attractive flowering plants affects the energy reserves of Culex pipiens pallens adults.

Parasitol Res

Ministry of Agriculture Key Laboratory of Agricultural Entomology, Institute of Insect Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province, 310058, China.

Published: January 2018

Mosquito adults usually need to ingest sugar from nectar host plants to sustain their metabolic needs. Mosquitoes could be differentially attracted by various flowering plant species, and the volatiles were thought to be important factors attributed to the differential attractiveness. However, whether mosquitoes' preference for host plants correlates with their nutritional rewards from sugar sources remains unclear. In the present study, the preference of newly emerged Culex pipiens pallens to three kinds of flowering plants (Ligustrum quihoui, Abelia chinensis, and Nerium indicum) was determined in the olfactometer. Besides, when the newly emerged mosquitoes were provided with these flowering plants as sugar sources, the content of their metabolic reserves (glycogen, lipid, and protein) was determined. The results revealed that Cx. pipiens pallens could be differentially attracted by the odors emitted by the inflorescences of the tested flowering plants, and the nutritional rewards of mosquitoes were significantly affected by feeding on different inflorescences. The present study demonstrated that feeding on nectar host plants with differential attraction could affect the energy reserves of Cx. pipiens pallens.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00436-017-5664-yDOI Listing

Publication Analysis

Top Keywords

flowering plants
16
pipiens pallens
16
host plants
12
energy reserves
8
culex pipiens
8
nectar host
8
differentially attracted
8
nutritional rewards
8
sugar sources
8
newly emerged
8

Similar Publications

High cadmium (Cd) concentrations pose a threat to aquatic life globally. This study examined the efficiency of adding purslane (Portulaca oleracea L.) leaf powder (PLP) to Oreochromis niloticus diets on Cd's negative effects.

View Article and Find Full Text PDF

Phenomic selection based on parental spectra can be used to predict GCA and SCA in a sparse factorial design. Prediction approaches such as genomic selection can be game changers in hybrid breeding. They allow predicting the genetic values of hybrids without the need for their physical production.

View Article and Find Full Text PDF

A complete set of monosomic alien addition lines of Radish-Brassica oleracea exhibiting extensive variations was generated and well characterized for their chromosome behaviors and phenotypic characteristics. Monosomic alien addition lines (MAALs) are developed through interspecific hybridization, where an alien chromosome from a relative species is introduced into the genome of the recipient plant, serving as valuable genetic resources. In this study, an allotetraploid Raphanobrassica (RRCC, 2n = 36) was created from the interspecific hybridization between radish (Raphanus sativus, RR, 2n = 18) and Brassica oleracea (CC, 2n = 18).

View Article and Find Full Text PDF

Characterization of Hazelnut Trees in Open Field Through High-Resolution UAV-Based Imagery and Vegetation Indices.

Sensors (Basel)

January 2025

Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy.

The increasing demand for hazelnut kernels is favoring an upsurge in hazelnut cultivation worldwide, but ongoing climate change threatens this crop, affecting yield decreases and subject to uncontrolled pathogen and parasite attacks. Technical advances in precision agriculture are expected to support farmers to more efficiently control the physio-pathological status of crops. Here, we report a straightforward approach to monitoring hazelnut trees in an open field, using aerial multispectral pictures taken by drones.

View Article and Find Full Text PDF

Attention Score-Based Multi-Vision Transformer Technique for Plant Disease Classification.

Sensors (Basel)

January 2025

Department of AI & Big Data, Honam University, Gwangju 62399, Republic of Korea.

This study proposes an advanced plant disease classification framework leveraging the Attention Score-Based Multi-Vision Transformer (Multi-ViT) model. The framework introduces a novel attention mechanism to dynamically prioritize relevant features from multiple leaf images, overcoming the limitations of single-leaf-based diagnoses. Building on the Vision Transformer (ViT) architecture, the Multi-ViT model aggregates diverse feature representations by combining outputs from multiple ViTs, each capturing unique visual patterns.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!