Soybean and high-throughput phenotyping: perceiving growing patterns in different environments
Аутори
Ranđelović, Predrag![](/themes/MirageFiVeR/images/orcid.png)
Đorđević, Vuk
![](/themes/MirageFiVeR/images/orcid.png)
Miladinović, Jegor
![](/themes/MirageFiVeR/images/orcid.png)
Ćeran, Marina
![](/themes/MirageFiVeR/images/orcid.png)
Jaćimović, Simona
![](/themes/MirageFiVeR/images/orcid.png)
Đukić, Vojin
![](/themes/MirageFiVeR/images/orcid.png)
Vasiljević, Marjana
![](/themes/MirageFiVeR/images/orcid.png)
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
In the previous decade, new technologies based on remote sensing and photogrammetry were established as a powerful tool for non-destructive estimation of different plant traits. The high-throughput phenotyping (HTPP) implies the utilization of these tools and techniques, resulting in a fast and accurate assessment of crop development data. In soybean breeding, traditional phenotyping is recognized as a bottleneck in the current selection of superior lines mainly because of the inefficiency and resource consumption. The HTPP could be applied to overcome these shortcomings and not just for the prediction of plant characteristics from a single time point but also for perceiving crop growth based on multi-temporal data. This study aimed to analyze soybean growing patterns in different environments (drought and control) based on the estimated height and biomass of 206 genotypes (early and late varieties) sown in 2020 and 2021. In both seasons, each trait was predicted in eight-time points w...ith previously developed HTPP models and protocols. The estimated values were used to create growing curves and evaluate analyzed genotypes based on their performance. Early varieties were dominant for both traits in drought conditions. In the control, the late material performed better regarding height while early genotypes accumulated more biomass.
Кључне речи:
soybean / high-throughput phenotyping / growing patterns / environmentsИзвор:
Book of Abstracts, ECOBREED Organic Breeding Conference, 17-19 January 2024, Ljubljana, Slovenia, 2024, 49-49Издавач:
- Ljubljana : Kmetijski inštitut Slovenije
Финансирање / пројекти:
Колекције
Институција/група
FiVeRTY - CONF AU - Ranđelović, Predrag AU - Đorđević, Vuk AU - Miladinović, Jegor AU - Ćeran, Marina AU - Jaćimović, Simona AU - Đukić, Vojin AU - Vasiljević, Marjana PY - 2024 UR - http://fiver.ifvcns.rs/handle/123456789/4564 AB - In the previous decade, new technologies based on remote sensing and photogrammetry were established as a powerful tool for non-destructive estimation of different plant traits. The high-throughput phenotyping (HTPP) implies the utilization of these tools and techniques, resulting in a fast and accurate assessment of crop development data. In soybean breeding, traditional phenotyping is recognized as a bottleneck in the current selection of superior lines mainly because of the inefficiency and resource consumption. The HTPP could be applied to overcome these shortcomings and not just for the prediction of plant characteristics from a single time point but also for perceiving crop growth based on multi-temporal data. This study aimed to analyze soybean growing patterns in different environments (drought and control) based on the estimated height and biomass of 206 genotypes (early and late varieties) sown in 2020 and 2021. In both seasons, each trait was predicted in eight-time points with previously developed HTPP models and protocols. The estimated values were used to create growing curves and evaluate analyzed genotypes based on their performance. Early varieties were dominant for both traits in drought conditions. In the control, the late material performed better regarding height while early genotypes accumulated more biomass. PB - Ljubljana : Kmetijski inštitut Slovenije C3 - Book of Abstracts, ECOBREED Organic Breeding Conference, 17-19 January 2024, Ljubljana, Slovenia T1 - Soybean and high-throughput phenotyping: perceiving growing patterns in different environments EP - 49 SP - 49 UR - https://hdl.handle.net/21.15107/rcub_fiver_4564 ER -
@conference{ author = "Ranđelović, Predrag and Đorđević, Vuk and Miladinović, Jegor and Ćeran, Marina and Jaćimović, Simona and Đukić, Vojin and Vasiljević, Marjana", year = "2024", abstract = "In the previous decade, new technologies based on remote sensing and photogrammetry were established as a powerful tool for non-destructive estimation of different plant traits. The high-throughput phenotyping (HTPP) implies the utilization of these tools and techniques, resulting in a fast and accurate assessment of crop development data. In soybean breeding, traditional phenotyping is recognized as a bottleneck in the current selection of superior lines mainly because of the inefficiency and resource consumption. The HTPP could be applied to overcome these shortcomings and not just for the prediction of plant characteristics from a single time point but also for perceiving crop growth based on multi-temporal data. This study aimed to analyze soybean growing patterns in different environments (drought and control) based on the estimated height and biomass of 206 genotypes (early and late varieties) sown in 2020 and 2021. In both seasons, each trait was predicted in eight-time points with previously developed HTPP models and protocols. The estimated values were used to create growing curves and evaluate analyzed genotypes based on their performance. Early varieties were dominant for both traits in drought conditions. In the control, the late material performed better regarding height while early genotypes accumulated more biomass.", publisher = "Ljubljana : Kmetijski inštitut Slovenije", journal = "Book of Abstracts, ECOBREED Organic Breeding Conference, 17-19 January 2024, Ljubljana, Slovenia", title = "Soybean and high-throughput phenotyping: perceiving growing patterns in different environments", pages = "49-49", url = "https://hdl.handle.net/21.15107/rcub_fiver_4564" }
Ranđelović, P., Đorđević, V., Miladinović, J., Ćeran, M., Jaćimović, S., Đukić, V.,& Vasiljević, M.. (2024). Soybean and high-throughput phenotyping: perceiving growing patterns in different environments. in Book of Abstracts, ECOBREED Organic Breeding Conference, 17-19 January 2024, Ljubljana, Slovenia Ljubljana : Kmetijski inštitut Slovenije., 49-49. https://hdl.handle.net/21.15107/rcub_fiver_4564
Ranđelović P, Đorđević V, Miladinović J, Ćeran M, Jaćimović S, Đukić V, Vasiljević M. Soybean and high-throughput phenotyping: perceiving growing patterns in different environments. in Book of Abstracts, ECOBREED Organic Breeding Conference, 17-19 January 2024, Ljubljana, Slovenia. 2024;:49-49. https://hdl.handle.net/21.15107/rcub_fiver_4564 .
Ranđelović, Predrag, Đorđević, Vuk, Miladinović, Jegor, Ćeran, Marina, Jaćimović, Simona, Đukić, Vojin, Vasiljević, Marjana, "Soybean and high-throughput phenotyping: perceiving growing patterns in different environments" in Book of Abstracts, ECOBREED Organic Breeding Conference, 17-19 January 2024, Ljubljana, Slovenia (2024):49-49, https://hdl.handle.net/21.15107/rcub_fiver_4564 .