Show simple item record

dc.contributor.authorBradford, Kent J.
dc.contributor.authorBello, Pedro
dc.date.accessioned2025-03-07T16:01:20Z
dc.date.available2025-03-07T16:01:20Z
dc.date.issued2022
dc.date.submitted2023-02-27T12:21:46Z
dc.identifierONIX_20230227_9781801463584_37
dc.identifierhttps://library.oapen.org/handle/20.500.12657/61526
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/157398
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.rightsopen access
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.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production
dc.subject.otherthema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVB Agricultural science
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.isFundedBy84e1a153-bf69-4864-9268-634661c28ef5
oapen.relation.isbn9781801463584
oapen.imprintBurleigh Dodds Science Publishing
oapen.pages88
oapen.place.publicationCambridge
oapen.grant.number[...]
dc.relationisFundedByUniversity of California, Davis


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record