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dc.contributor.author
Batlla, Diego

dc.contributor.author
Malavert Pineda, Cristian Jonatan

dc.contributor.author
Fernández, Rocío Belén

dc.contributor.author
Benech-Arnold, Roberto Luis

dc.date.available
2024-03-08T10:29:29Z
dc.date.issued
2020
dc.identifier.citation
Batlla, Diego; Malavert Pineda, Cristian Jonatan; Fernández, Rocío Belén; Benech-Arnold, Roberto Luis; Modelling Weed Seedbank Dormancy and Germination; Springer; 2020; 61-83
dc.identifier.isbn
978-3-030-44401-3
dc.identifier.uri
http://hdl.handle.net/11336/229756
dc.description.abstract
Weeds are usually more vulnerable to control practices at the seedling stage or at early stages of their growth. Therefore, developing models to predict the timing and extent of weed emergence is useful to assist farmers and agronomist to time pre- and post-emergence control practices to increase their efficacy. However, many important weeds forming persistence seedbanks in agricultural fields present dormancy. In those species, the number of established seedlings is strongly related to the dormancy level of the seedbank, and the timing of seedling emergence depends on the seasonal variation in seedbank dormancy level. Therefore, if we pretend to predict timing and extent of seedling emergence, we should include the regulation of the seedbank dormancy level in our predictive models. In this chapter, we present a conceptual framework to understand how dormancy and germination of weed seedbanks are regulated by the environment. This framework is based on the distinction between those factors that regulate seasonal changes in the seedbank dormancy level (i.e. temperature in interaction with seed moisture content) and those factors that terminate dormancy (i.e. light and alternating temperatures). Changes in the seedbank dormancy level are related to changes in the range of environmental conditions permissive for seed germination, as, for example, the thermal range permissive for germination which is defined by the lower and the higher limit temperatures. Seeds germinate when environmental conditions are within the permissive range, for example, seeds begging to accumulate thermal time towards germination once soil temperature overlaps the permissive thermal range. We present examples of how these concepts can be used to establish functional relationships between dormancy and germination regulating factors (i.e. temperature) and changes in seedbank population dormancy level and germination dynamics in order to develop mechanistic models to predict the timing and extent of weed seedling emergence in the field.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer

dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
dormany
dc.subject
model
dc.subject
weed seed bank
dc.subject
germination
dc.subject.classification
Agricultura

dc.subject.classification
Agricultura, Silvicultura y Pesca

dc.subject.classification
CIENCIAS AGRÍCOLAS

dc.title
Modelling Weed Seedbank Dormancy and Germination
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2021-09-10T15:56:35Z
dc.journal.pagination
61-83
dc.journal.pais
Suiza

dc.description.fil
Fil: Batlla, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
dc.description.fil
Fil: Malavert Pineda, Cristian Jonatan. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
dc.description.fil
Fil: Fernández, Rocío Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
dc.description.fil
Fil: Benech-Arnold, Roberto Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-030-44402-0_4
dc.conicet.paginas
342
dc.source.titulo
Decision Support Systems for Weed Management
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