Results 61 to 70 of about 3,675,679 (239)

Underground Signals: The Ecological Power of Root Volatiles

Advanced Science, EarlyView.
Root volatiles mediate rhizosphere chemical communication, shaping interactions among plants, microbes, herbivores, and natural enemies. Their production, transport, and perception underpin ecological adaptation, multitrophic interactions, and plant resilience, offering opportunities for sustainable crop protection, resilient agroecosystems, and ...
Xueyao Cao, Nanli Song, François Verheggen, Meritxell Pérez‐Hedo, Andrea Clavijo McCormick, Antonino Cusumano, Arthur de Fouchier, Bing Wang, Chen‐Zhu Wang, Emmanuelle Jacquin‐Joly, Gary W. Felton, Geoff M. Gurr, Hao Guo, Jiancai Li, Jin Zhang, Li Chen, Manqun Wang, Michele Ricupero, Peng Han, Peng He, Qi Yan, Qingbo Tang, Qingsong Liu, Shiheng An, Xiangbo Kong, Xiaoling Sun, Xueming Ren, Yuanyuan Song, Yang Liu, Yanhui Guo, Yunhe Li, Xiao Sun   +31 more
wiley   +1 more source

RNAi in the Rhizarian Phytopathogen Plasmodiophora brassicae: The Causal Agent of Clubroot Disease in Cruciferous Crops

Advanced Science, EarlyView.
This study uncovers an unusual RNAi pathway in the rhizarian pathogen Plasmodiophora brassicae. In the absence of Dicer, a Drosha‐like RNase III protein supports the biogenesis of predominant 21‐nt small RNAs, and two Argonaute proteins mediate small RNA‐guided silencing.
Xiong Zhang, Yupo Wu, Jiachang Hou, Lixia Gao, Longqi Pan, Cuicui Shen, Chuanji Zhao, Feng Gao, Yi Zhang, Li Ren, Xiaoping Fang, Xiaoling Dun, Shengyi Liu, Lijiang Liu   +13 more
wiley   +1 more source

A Lightweight Crop Pest Detection Method Based on Improved RTMDet

Information
To address the issues of low detection accuracy and large model parameters in crop pest detection in natural scenes, this study improves the deep learning object detection model and proposes a lightweight and accurate method RTMDet++ for crop pest ...
Wanqing Wang, Haoyue Fu
doaj   +1 more source

The Plant‐to‐Plant Circular Strategy: Coupling Photodegradation and Phytoremediation With Plant‐Based Nanomaterials for Plastic Degradation

Advanced Science, EarlyView.
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu, Lena Ciric, Yuheng Wang, Ziru Pei, Manpreet Bhatti   +4 more
wiley   +1 more source

Cascaded Aggregation Convolution Network for Salient Grain Pests Detection

Insects
Pest infestation poses significant threats to grain storage due to pests’ behaviors of feeding, respiration, excretion, and reproduction. Efficient pest detection and control are essential to mitigate these risks.
Junwei Yu, Shihao Chen, Nan Liu, Fupin Zhai, Quan Pan   +4 more
doaj   +1 more source

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

Advanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang, Rui Wang, Bo Lu, Ming‐Liang Song, Yu‐Yi Chen, Kuo Han, Xin‐Jie Feng, Bin Sun, Yao‐Guang Cao, Xiao‐Yu Yan, Shi‐Chun Yang   +10 more
wiley   +1 more source

An Effector TaCRVP From Tuta Absoluta Oral Secretion Impairs H2O2‐Mediated Plant Defense by Targeting Tomato SlCAT2

Advanced Science, EarlyView.
The Tuta absoluta salivary effector TaCRVP subverts tomato immunity by hijacking host catalase SlCAT2. Through a sophisticated dual mechanism, TaCRVP simultaneously promotes SlCAT2 tetramerization for activation and blocks its SlAdBiL‐mediated degradation for stabilization.
Jianquan Yan, Youdan Zhang, Zhujun Wang, Huatao Tang, Huiping Liu, Zi Chen, Shuai Liu, Jiayi Shi, Lu Peng, Youming Hou   +9 more
wiley   +1 more source

Oregon pest alert

, 2015
Part of the Pest alert series.Title from PDF caption (viewed on March 19, 2020).This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program.

core   +2 more sources

Detection technologies and sensing systems for crop pest identification and infestation severity prediction: a review

Frontiers in Plant Science
With the rapid development of precision agriculture technology, agricultural production is gradually shifting from traditional experience-based practices to data-driven decision-making.
Tianhua Chen, Tianhua Chen, Yafei Wang, Jingmin Dang, Fu Zhang, Changji Wang   +5 more
doaj   +1 more source

A comparison of change point detection methods for pest outbreak detection

Environment Systems and Decisions
Abstract This study evaluates the application of change point detection (CPD) methodologies in the Agricultural Quarantine Inspection Monitoring (AQIM) program to identify significant shifts in pest arrival rates. Unlike prior work that focused on optimizing sampling strategies, this paper emphasizes the numerical evaluation of CPD ...
Ma, Huidi, Leibowicz, Benjamin D., Hasenbein, John J.   +2 more
openaire   +2 more sources