High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments
Аутори
Ranđelović, PredragĐorđević, Vuk
Miladinović, Jegor
Ćeran, Marina
Prodanović, Slaven
Jaćimović, Simona
Đukić, Vojin
Остала ауторства
Vollmann, JohannVasiljević, Marjana
Rittler, Leopold
Miladinović, Jegor
Murphy-Bokern, Donal
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
soybean / plant height / high-throughput phenotyping / UAV / canopy coverИзвор:
Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023, 2023, 114-114Издавач:
- Vienna : University of Natural Resources and Life Sciences (BOKU)
Финансирање / пројекти:
Колекције
Институција/група
FiVeRTY - CONF AU - Ranđelović, Predrag AU - Đorđević, Vuk AU - Miladinović, Jegor AU - Ćeran, Marina AU - Prodanović, Slaven AU - Jaćimović, Simona AU - Đukić, Vojin PY - 2023 UR - http://fiver.ifvcns.rs/handle/123456789/3657 AB - 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. PB - Vienna : University of Natural Resources and Life Sciences (BOKU) C3 - Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 T1 - High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments EP - 114 SP - 114 DO - 10.5281/zenodo.7974681 ER -
@conference{ author = "Ranđelović, Predrag and Đorđević, Vuk and Miladinović, Jegor and Ćeran, Marina and Prodanović, Slaven and Jaćimović, Simona and Đukić, Vojin", year = "2023", 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.", publisher = "Vienna : University of Natural Resources and Life Sciences (BOKU)", journal = "Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023", title = "High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments", pages = "114-114", doi = "10.5281/zenodo.7974681" }
Ranđelović, P., Đorđević, V., Miladinović, J., Ćeran, M., Prodanović, S., Jaćimović, S.,& Đukić, V.. (2023). High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 Vienna : University of Natural Resources and Life Sciences (BOKU)., 114-114. https://doi.org/10.5281/zenodo.7974681
Ranđelović P, Đorđević V, Miladinović J, Ćeran M, Prodanović S, Jaćimović S, Đukić V. High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023. 2023;:114-114. doi:10.5281/zenodo.7974681 .
Ranđelović, Predrag, Đorđević, Vuk, Miladinović, Jegor, Ćeran, Marina, Prodanović, Slaven, Jaćimović, Simona, Đukić, Vojin, "High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments" in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 (2023):114-114, https://doi.org/10.5281/zenodo.7974681 . .