Results 51 to 60 of about 11,726 (210)

Mathematical modeling of citrus groves infected by huanglongbing

open access: yesMathematical Biosciences and Engineering, 2013
Huanglongbing (citrus greening) is a bacterial disease that is significantly impacting the citrus industry in Florida and poses a risk to the remaining citrus-producing regions of the United States.
Karly Jacobsen   +2 more
doaj   +1 more source

Deteksi Menggunakan Pcr (Polymerase Chain Reaction) Candidatus Liberibacter Asiaticus, Penyebab Huanglongbing Pada Jeruk Siem Dengan Beberapa Tipe Gejala Pada Daun [PDF]

open access: yes, 2010
Detection using PCR (Polymerase Chain Reaction) Candidatus Liberibacter asiaticus, Huanglongbing causal Organism on Siem Mandarin with different types of symptoms.
Yohanes Andi Trisyono & Andrew Beattie., Achmad Himawan, Yohanes Berchmans umardiyono, Susamto Somowiyarjo
core   +2 more sources

Scouting for Citrus Greening

open access: yesEDIS, 2008
HS-1147, a 6-page illustrated fact sheet by Jamie D. Yates, Stephen H. Futch, and Timothy M. Spann, describes when to scout; different methods of scouting and their applications; symptoms of greening and how to distinguish these symptoms from those of ...
Jamie D. Yates   +2 more
doaj   +5 more sources

Life table analysis of Diaphorina citri (Hemiptera: Psyllidae) infesting sweet orange (Citrus sinensis) in São Paulo [PDF]

open access: yes, 2012
An ecological life table for eggs and nymphs of Diaphorina citri Kuwayama (Hemiptera: Psyllidae) was constructed with data obtained from orange orchards (Citrus sinensis Osbeck) in 2 regions of the State of São Paulo, over 4 generations in the period ...
Aubert B.   +11 more
core   +1 more source

Florida Citrus Rootstock Selection Guide, 3rd Edition

open access: yesEDIS, 2015
Information about citrus rootstocks has become an important part of understanding and managing citrus greening (Huanglongbing or HLB). This selection guide covers 20 characteristics of 45 citrus rootstocks and explains its methodology in detail.
William S. Castle   +4 more
doaj   +5 more sources

‘Candidatus Liberibacter Asiaticus’ Effector SECP8 Subverts Salicylic Acid‐Mediated Citrus Immunity via a Two‐Pronged Impairment of CsTCP15 Dimerization

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Citrus Huanglongbing (HLB), a devastating disease caused by the unculturable bacterium ‘Candidatus Liberibacter asiaticus’ (CLas), poses a severe threat to global citrus production. CLas secretes effectors to suppress host immune responses and facilitate its colonisation. Previously, the CLas effector SECP8 (CLIBASIA_05330) has been identified
Mingyue Qin   +8 more
wiley   +1 more source

Complete genome sequence of Liberibacter crescens BT-1 [PDF]

open access: yes, 2012
Liberibacter crescens BT-1, a Gram-negative, rod-shaped bacterial isolate, was previously recovered from mountain papaya to gain insight on Huanglongbing (HLB) and Zebra Chip (ZC) diseases. The genome of BT-1 was sequenced at the Interdisciplinary Center
Austin G. Davis-Richardson   +4 more
core   +1 more source

A Bacterial Effector Hijacks NBR1 to Modulate Both Autophagy and Ubiquitination‐Mediated Degradation That Promotes Bacterial Infection

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Autophagy and the ubiquitin/26S proteasome system (UPS) play critical roles in the immune defence of the host against pathogen invasion. As a countermeasure, pathogens deploy effector proteins to subvert or hijack autophagy and UPS processes.
Yaqian Shi   +7 more
wiley   +1 more source

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

open access: yesThe 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   +12 more
wiley   +1 more source

Robust Citrus Disease Diagnosis: A Hybrid CNN Framework for Multi‐Task Classification, Severity Estimation, and Cross‐Species Adaptation

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
We propose a hybrid CNN–ML approach to accurately classify diseases in lemon and orange leaves and assess their severity. Our model achieves high accuracy and demonstrates generalizability, showing promise for automated disease detection and management in citrus crops.
Sayma Akter Rupa   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy