FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1531458822> ?p ?o ?g. }

• W1531458822 endingPage "65" @default.
• W1531458822 startingPage "57" @default.
• W1531458822 abstract "Abstract Infectious disease is a major causal factor in the demography of human, plant and animal populations. While it is generally accepted in medical, veterinary and agricultural contexts that variation in host resistance and pathogen virulence and aggressiveness is of central importance to understanding patterns of infection, there has been remarkably little effort to directly investigate causal links between population genetic structure and disease dynamics, and even less work on factors influencing host–pathogen coevolution. The lack of empirical evidence is particularly surprising, given the potential for such variation to not only affect disease dynamics and prevalence, but also when or where new diseases or pathotypes emerge. Increasingly, this lack of knowledge has led to calls for an integrated approach to disease management, incorporating both ecological and evolutionary processes. Here, we argue that plant pathogens occurring in agro‐ecosystems represent one clear example where the application of evolutionary principles to disease management would be of great benefit, as well as providing model systems for advancing our ability to generalize about the long‐term coevolutionary dynamics of host–pathogen systems. We suggest that this is particularly the case given that agro‐ecological host–pathogen interactions represent a diversity of situations ranging from those that only involve agricultural crops through to those that also include weedy crop relatives or even unrelated native plant communities. We begin by examining some of the criteria that are important in determining involvement in agricultural pathogen evolution by noncrop plants. Throughout we use empirical examples to illustrate the fact that different processes may dominate in different systems, and suggest that consideration of life history and spatial structure are central to understanding dynamics and direction of the interaction. We then discuss the implications that such interactions have for disease management in agro‐ecosystems and how we can influence those outcomes. Finally, we identify several major gaps where future research could increase our ability to utilize evolutionary principles in managing disease in agro‐ecosystems." @default.
• W1531458822 created "2016-06-24" @default.
• W1531458822 creator A5069545731 @default.
• W1531458822 creator A5072594301 @default.
• W1531458822 date "2008-01-25" @default.
• W1531458822 modified "2023-10-16" @default.
• W1531458822 title "Pathogen evolution across the agro-ecological interface: implications for disease management" @default.
• W1531458822 cites W1536922066 @default.
• W1531458822 cites W1552166549 @default.
• W1531458822 cites W1964707838 @default.
• W1531458822 cites W1965050970 @default.
• W1531458822 cites W1967454402 @default.
• W1531458822 cites W1971305193 @default.
• W1531458822 cites W1974610100 @default.
• W1531458822 cites W1980971369 @default.
• W1531458822 cites W1984151759 @default.
• W1531458822 cites W1987136066 @default.
• W1531458822 cites W1995964799 @default.
• W1531458822 cites W1997922784 @default.
• W1531458822 cites W1998244312 @default.
• W1531458822 cites W2001554597 @default.
• W1531458822 cites W2009223524 @default.
• W1531458822 cites W2010630141 @default.
• W1531458822 cites W2015627719 @default.
• W1531458822 cites W2020586751 @default.
• W1531458822 cites W2024582348 @default.
• W1531458822 cites W2034344509 @default.
• W1531458822 cites W2035175060 @default.
• W1531458822 cites W2035247384 @default.
• W1531458822 cites W2036286463 @default.
• W1531458822 cites W2053752559 @default.
• W1531458822 cites W2056176278 @default.
• W1531458822 cites W2065692420 @default.
• W1531458822 cites W2072266670 @default.
• W1531458822 cites W2078521323 @default.
• W1531458822 cites W2088932118 @default.
• W1531458822 cites W2097195368 @default.
• W1531458822 cites W2102632595 @default.
• W1531458822 cites W2105807437 @default.
• W1531458822 cites W2113026569 @default.
• W1531458822 cites W2119906059 @default.
• W1531458822 cites W2120998920 @default.
• W1531458822 cites W2122403585 @default.
• W1531458822 cites W2137795271 @default.
• W1531458822 cites W2158378932 @default.
• W1531458822 cites W2158557930 @default.
• W1531458822 cites W2171099571 @default.
• W1531458822 cites W2174692952 @default.
• W1531458822 cites W2316147087 @default.
• W1531458822 cites W2334240104 @default.
• W1531458822 cites W2463709107 @default.
• W1531458822 cites W4245886704 @default.
• W1531458822 cites W4300517352 @default.
• W1531458822 doi "https://doi.org/10.1111/j.1752-4571.2007.00005.x" @default.
• W1531458822 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3352394" @default.
• W1531458822 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25567491" @default.
• W1531458822 hasPublicationYear "2008" @default.
• W1531458822 type Work @default.
• W1531458822 sameAs 1531458822 @default.
• W1531458822 citedByCount "147" @default.
• W1531458822 countsByYear W15314588222012 @default.
• W1531458822 countsByYear W15314588222013 @default.
• W1531458822 countsByYear W15314588222014 @default.
• W1531458822 countsByYear W15314588222015 @default.
• W1531458822 countsByYear W15314588222016 @default.
• W1531458822 countsByYear W15314588222017 @default.
• W1531458822 countsByYear W15314588222018 @default.
• W1531458822 countsByYear W15314588222019 @default.
• W1531458822 countsByYear W15314588222020 @default.
• W1531458822 countsByYear W15314588222021 @default.
• W1531458822 countsByYear W15314588222022 @default.
• W1531458822 countsByYear W15314588222023 @default.
• W1531458822 crossrefType "journal-article" @default.
• W1531458822 hasAuthorship W1531458822A5069545731 @default.
• W1531458822 hasAuthorship W1531458822A5072594301 @default.
• W1531458822 hasBestOaLocation W15314588222 @default.
• W1531458822 hasConcept C118518473 @default.
• W1531458822 hasConcept C126831891 @default.
• W1531458822 hasConcept C135811302 @default.
• W1531458822 hasConcept C142724271 @default.
• W1531458822 hasConcept C144024400 @default.
• W1531458822 hasConcept C149923435 @default.
• W1531458822 hasConcept C171578705 @default.
• W1531458822 hasConcept C18903297 @default.
• W1531458822 hasConcept C189708586 @default.
• W1531458822 hasConcept C2776460866 @default.
• W1531458822 hasConcept C2779134260 @default.
• W1531458822 hasConcept C2779473830 @default.
• W1531458822 hasConcept C2908647359 @default.
• W1531458822 hasConcept C2982889124 @default.
• W1531458822 hasConcept C33009525 @default.
• W1531458822 hasConcept C54355233 @default.
• W1531458822 hasConcept C55493867 @default.
• W1531458822 hasConcept C71924100 @default.
• W1531458822 hasConcept C78458016 @default.
• W1531458822 hasConcept C86803240 @default.
• W1531458822 hasConceptScore W1531458822C118518473 @default.
• W1531458822 hasConceptScore W1531458822C126831891 @default.

• next