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dc.contributor.authorBradford, Kent J.
dc.contributor.authorBello, Pedro
dc.date.accessioned2023-02-27T12:21:46Z
dc.date.available2023-02-27T12:21:46Z
dc.date.issued2022
dc.identifierONIX_20230227_9781801463584_37
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/61526
dc.description.abstractAchieving rapid and uniform stand establishment in crops requires a combination of high-quality seeds and appropriate environmental conditions. In particular, temperature and soil moisture (or water potential) are the major factors influencing germination in the field. In this chapter, we focus on the application of population-based threshold (PBT) models to characterize seed germination time courses and how environmental and technological inputs influence them. Viewing seed quality as a product of the behavior of populations of individual seeds is critical for understanding the causes and consequences of poor performance. Quantitatively characterizing seed population features enables their use in seed sorting and seed enhancement, and provides phenotypes for use in research, breeding, conservation and restoration. We believe that PBT models are essential tools to enable full utilization of new advances in seed technology to improve seed quality and enable successful stand establishment in agriculture or in natural settings.
dc.languageEnglish
dc.relation.ispartofseriesBurleigh Dodds Series in Agricultural Science
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop productionen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciencesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agricultureen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVB Agricultural scienceen_US
dc.subject.otherPopulation-based threshold models
dc.subject.othergermination time course
dc.subject.otherseedling emergence
dc.subject.otherhydrotime
dc.subject.otherhydrothermal time
dc.subject.otherseed dormancy
dc.subject.otherseed priming
dc.subject.otherseed aging
dc.subject.otherseed storage
dc.titleApplying population-based threshold models to quantify and improve seed quality attributes
dc.typechapter
oapen.identifier.doi10.19103/AS.2022.0105.05
oapen.relation.isPublishedBy9f8f6c63-e2ae-40b8-8aac-316abb377d6a
oapen.relation.isFundedByUniversity of California, Davis
oapen.relation.isbn9781801463584
oapen.imprintBurleigh Dodds Science Publishing
oapen.pages88
oapen.place.publicationCambridge
oapen.grant.number[...]


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