Plant Pathology in Australasia: - a Future Perspective From the Disease Management Point of View.

1994 ◽  
Vol 23 (4) ◽  
pp. 213
Author(s):  
RG O'brien ◽  
KG Pegg











EDIS ◽  
2009 ◽  
Vol 2009 (2) ◽  
Author(s):  
Shouan Zhang ◽  
Pamela D. Roberts

Revised! PP-113, a 2-page fact sheet by Shoan Zhang and Pamela D. Roberts, describes the symptoms and cultural controls for four plant diseases common to Sweet Basil in Florida — downy mildew, leaf spot, bacterial leaf spot, and fusarium wilt. Published by the UF Department of Plant Pathology, March 2009. PP-113/PP113: Florida Plant Disease Management Guide: Sweet Basil (ufl.edu)



EDIS ◽  
1969 ◽  
Vol 2003 (3) ◽  
Author(s):  
Pam Roberts

This document is PP113, one of a series of the Department of Plant Pathology, 2003 Florida Plant Disease Management Guide, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Date revised January 2003. PP-113/PP113: 2009 Florida Plant Disease Management Guide: Sweet Basil (ufl.edu)



Author(s):  
Soong-Hyun Kim ◽  
Seri Bae ◽  
Minsoo Song

Aminoacyl-tRNA synthetases (ARSs) are essential enzymes for translating amino acids for protein synthesis. Their function in pathogen-derived infectious diseases has been well established, which has led to development of small molecule therapeutics. The applicability of ARS inhibitors for other human diseases such as fibrosis has recently been explored in the clinical setting. There are active studies to find small molecule therapeutics for cancers. Studies on central nervous system (CNS) disorders are burgeoning as well. In this regard, we present a concise analysis of the recent development of ARS inhibitors based on small molecules from the discovery research stage to clinical studies as well as a recent patent analysis from the medicinal chemistry point of view.



2018 ◽  
Vol 56 (1) ◽  
pp. 559-580 ◽  
Author(s):  
K.A. Garrett ◽  
R.I. Alcalá-Briseño ◽  
K.F. Andersen ◽  
C.E. Buddenhagen ◽  
R.A. Choudhury ◽  
...  

Plant pathology must address a number of challenges, most of which are characterized by complexity. Network analysis offers useful tools for addressing complex systems and an opportunity for synthesis within plant pathology and between it and relevant disciplines such as in the social sciences. We discuss applications of network analysis, which ultimately may be integrated together into more synthetic analyses of how to optimize plant disease management systems. The analysis of microbiome networks and tripartite phytobiome networks of host-vector-pathogen interactions offers promise for identifying biocontrol strategies and anticipating disease emergence. Linking epidemic network analysis with social network analysis will support strategies for sustainable agricultural development and for scaling up solutions for disease management. Statistical tools for evaluating networks, such as Bayesian network analysis and exponential random graph models, have been underused in plant pathology and are promising for informing strategies. We conclude with research priorities for network analysis applications in plant pathology.



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