dc.contributor | Vollmann, Johann | |
dc.contributor | Vasiljević, Marjana | |
dc.contributor | Rittler, Leopold | |
dc.contributor | Miladinović, Jegor | |
dc.contributor | Murphy-Bokern, Donal | |
dc.creator | Ranđelović, Predrag | |
dc.creator | Đorđević, Vuk | |
dc.creator | Miladinović, Jegor | |
dc.creator | Ćeran, Marina | |
dc.creator | Prodanović, Slaven | |
dc.creator | Jaćimović, Simona | |
dc.creator | Đukić, Vojin | |
dc.date.accessioned | 2023-08-11T07:22:44Z | |
dc.date.available | 2023-08-11T07:22:44Z | |
dc.date.issued | 2023 | |
dc.identifier.isbn | 978-3-900397-09-8 | |
dc.identifier.uri | http://fiver.ifvcns.rs/handle/123456789/3657 | |
dc.description.abstract | The combined power of remote sensing and photogrammetry can be used to assess significant information about plant development. The canopy cover (CC) and height (HT) are important for defining the growth patterns of the plants and their reaction to different environmental conditions. The objective of this study was to utilize the technology of high-throughput phenotyping (HTPP) for the temporal screening of soybean CC and HT. The trial was set in 2020 and 2021 at the experimental fields of the Institute of Field and Vegetable Crops, Novi Sad, Serbia. In total, 206 soybean genotypes divided into early (ED) and late (LD) were grown in drought simulation environments. As a control, the same set of genotypes (EC and LC) was grown in favorable conditions. The CC and HT were determined from the images collected with the unmanned aerial vehicle (UAV). In both years, the photos were taken four times at approximately 274, 390, 706, and 917 growing degree days (GDDs) after emergence. | sr |
dc.language.iso | en | sr |
dc.publisher | Vienna : University of Natural Resources and Life Sciences (BOKU) | sr |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/771367/EU// | sr |
dc.rights | openAccess | sr |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 | sr |
dc.subject | soybean | sr |
dc.subject | plant height | sr |
dc.subject | high-throughput phenotyping | sr |
dc.subject | UAV | sr |
dc.subject | canopy cover | sr |
dc.title | High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments | sr |
dc.type | conferenceObject | sr |
dc.rights.license | BY | sr |
dc.citation.epage | 114 | |
dc.citation.spage | 114 | |
dc.identifier.doi | 10.5281/zenodo.7974681 | |
dc.identifier.fulltext | http://fiver.ifvcns.rs/bitstream/id/9559/bitstream_9559.pdf | |
dc.type.version | publishedVersion | sr |