Results 71 to 80 of about 10,092 (227)

Management of Huanglongbing of Citrus: Lessons from São Paulo and Florida.

Annual Review of Phytopathology
São Paulo, Brazil, and Florida, USA, were the two major orange production areas in the world until Huanglongbing (HLB) was discovered in São Paulo in 2004 and Florida in 2005.
J. Graham, R. Bassanezi, William O Dawson, Rick Dantzler   +3 more
semanticscholar   +1 more source

A review of techniques for detecting Huanglongbing (greening) in citrus [PDF]

Canadian Journal of Microbiology, 2016
Huanglongbing (HLB) is the most destructive disease of citrus worldwide. Monitoring of health and detection of diseases in trees is critical for sustainable agriculture. HLB symptoms are virtually the same wherever the disease occurs. The disease is caused by Candidatus Liberibacter spp., vectored by the psyllids Diaphorina citri Kuwayama and Trioza ...
Arredondo Valdés, Roberto, Delgado Ortiz, Juan Carlos, Beltrán Beache, Mariana, Anguiano Cabello, Julia, Cerna Chavez, Ernesto, Rodriguez Pagaza, Yolanda, Ochoa, Yisa   +6 more
openaire   +2 more sources

Insights into the mechanism of Huanglongbing tolerance in the Australian finger lime (Citrus australasica)

Frontiers in Plant Science, 2022
The Australian finger lime (Citrus australasica) is tolerant to Huanglongbing (HLB; Citrus greening). This species can be utilized to develop HLB tolerant citrus cultivars through conventional breeding and biotechnological approaches.
K. C. Weber, Lamiaa M. Mahmoud, Daniel Stanton, Stacy Welker, Wenming Qiu, Jude W. Grosser, Amit Levy, M. Dutt   +7 more
semanticscholar   +1 more source

Cultural Management of Huanglongbing: Current Status and Ongoing Research

Phytopathology®, 2022
Huanglongbing (HLB), formerly known as greening, is a bacterial disease restricted to some Asian and African regions until two decades ago. Nowadays, associated bacteria and their vectors have spread to almost all citrus-producing regions, and it is currently considered the most devastating citrus disease.
Berta Alquézar, Lourdes Carmona, Stefania Bennici, Marcelo P. Miranda, Renato B. Bassanezi, Leandro Peña   +5 more
openaire   +5 more sources

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

(GTG)5-rep-PCR demonstrates a clear cut genetic differentiation of Candidatus Liberibacter asiaticus isolates infecting mandarin trees in Hormozgan and Sistan and Baluchestan provinces of Iran

Journal of Crop Protection, 2022
Huanglongbing (HLB) is one of the most destructive diseases of citrus worldwide. The disease keeps spreading in several citrus-growing areas of southern Iran. The potential of (GTG)5-rep marker in revealing the genetic diversity of geographic isolates of
Siavash Samavi, Heshmatollah Rahmian, Abdoolnabi Bagheri, Valiollah Babaeizad   +3 more
doaj  

An automatic identification system for citrus greening disease (Huanglongbing) using a YOLO convolutional neural network

Frontiers in Plant Science, 2022
Huanglongbing (HLB), or citrus greening disease, has complex and variable symptoms, making its diagnosis almost entirely reliant on subjective experience, which results in a low diagnosis efficiency. To overcome this problem, we constructed and validated
Rong-Zhou Qiu, Shao-Ping Chen, Mei-Xiang Chi, Rongbo Wang, Ting Huang, G. Fan, Jian Zhao, Qing-Ping Weng   +7 more
semanticscholar   +1 more source

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

MSHLB-DETR: Transformer-Based Multi-Scale Citrus Huanglongbing Detection in Orchards with Aggregation Enhancement

Horticulturae
Detecting citrus Huanglongbing (HLB) in orchard environments is particularly challenging due to multi-scale targets and occlusions due to clustering, which manifest as complex and variable backgrounds, targets ranging from distant single leaves to nearby
Zhongbin Liu, Dasheng Wu, Fengya Xu, Zengjie Du, Ruikang Luo, Cheng Li   +5 more
semanticscholar   +1 more source

Phytogenic Selenium Nanoparticles Elicited the Physiological, Biochemical, and Antioxidant Defense System Amelioration of Huanglongbing-Infected ‘Kinnow’ Mandarin Plants

Nanomaterials, 2022
Citrus greening or huanglongbing (HLB) is commonly known as yellow dragon disease and affects citrus production worldwide. Therefore, it has a significant impact on and deleterious effects in the agro-industrial sector. Significant efforts have been made
Muhammad Ikram, N. Raja, Z. Mashwani, A. Omar, A. Mohamed, S. H. Satti, Efat Zohra   +6 more
semanticscholar   +1 more source