Advanced phenotyping techniques in sunflower breeding
2022
Аутори
Cvejić, SandraJocić, Siniša
Jocković, Milan
Dedić, Boško
Gvozdenac, Sonja
Radanović, Aleksandra
Kondić-Špika, Ankica
Marjanović-Jeromela, Ana
Miladinović, Dragana
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Breeding and phenotyping of sunflower are mainly based on traditional methodologies that are generally time-consuming, labor-intensive, prone to errors in the sampling, and with, in some cases, biased nature of the evaluation results. However, over the past decade, plant phenomics has made impressive progress in developing sensors and imaging techniques for a wide range of crop traits, organs and incidences. They enabled direct or indirect monitoring of growth and development, recording of architecture and helped evaluate resilience and tolerance to biotic and abiotic stresses. In IFVCNS, there were several successful attempts to use advanced phenotyping techniques in the identification and determination of desirable traits in sunflower. Using Flower Color Image Analysis (FloCIA) software, enhanced ray florets color determination and paved the way to more objective and accurate sunflower phenotyping, while thermal imaging was used for screening of sunflower for tolerance to Sclerotinia... head and stem rot.
Кључне речи:
sunflower / phenotyping / digital images / rhizotronsИзвор:
Book of Abstracts, 11th International Symposium of Agricultural Sciences AGRORES2022, 26-28 May 2022, Trebinje, Bosnia and Herzegovina, 2022, 117-117Издавач:
- Banja Luka : University of Banja Luka, Faculty of Agriculture
Финансирање / пројекти:
- Climate Crops - Centre of Excellence for Innovations in Breeding of Climate-Resilient Crops, Institute of Field and Vegetable Crops
Колекције
Институција/група
FiVeRTY - CONF AU - Cvejić, Sandra AU - Jocić, Siniša AU - Jocković, Milan AU - Dedić, Boško AU - Gvozdenac, Sonja AU - Radanović, Aleksandra AU - Kondić-Špika, Ankica AU - Marjanović-Jeromela, Ana AU - Miladinović, Dragana PY - 2022 UR - http://fiver.ifvcns.rs/handle/123456789/2916 AB - Breeding and phenotyping of sunflower are mainly based on traditional methodologies that are generally time-consuming, labor-intensive, prone to errors in the sampling, and with, in some cases, biased nature of the evaluation results. However, over the past decade, plant phenomics has made impressive progress in developing sensors and imaging techniques for a wide range of crop traits, organs and incidences. They enabled direct or indirect monitoring of growth and development, recording of architecture and helped evaluate resilience and tolerance to biotic and abiotic stresses. In IFVCNS, there were several successful attempts to use advanced phenotyping techniques in the identification and determination of desirable traits in sunflower. Using Flower Color Image Analysis (FloCIA) software, enhanced ray florets color determination and paved the way to more objective and accurate sunflower phenotyping, while thermal imaging was used for screening of sunflower for tolerance to Sclerotinia head and stem rot. PB - Banja Luka : University of Banja Luka, Faculty of Agriculture C3 - Book of Abstracts, 11th International Symposium of Agricultural Sciences AGRORES2022, 26-28 May 2022, Trebinje, Bosnia and Herzegovina T1 - Advanced phenotyping techniques in sunflower breeding EP - 117 SP - 117 UR - https://hdl.handle.net/21.15107/rcub_fiver_2916 ER -
@conference{ author = "Cvejić, Sandra and Jocić, Siniša and Jocković, Milan and Dedić, Boško and Gvozdenac, Sonja and Radanović, Aleksandra and Kondić-Špika, Ankica and Marjanović-Jeromela, Ana and Miladinović, Dragana", year = "2022", abstract = "Breeding and phenotyping of sunflower are mainly based on traditional methodologies that are generally time-consuming, labor-intensive, prone to errors in the sampling, and with, in some cases, biased nature of the evaluation results. However, over the past decade, plant phenomics has made impressive progress in developing sensors and imaging techniques for a wide range of crop traits, organs and incidences. They enabled direct or indirect monitoring of growth and development, recording of architecture and helped evaluate resilience and tolerance to biotic and abiotic stresses. In IFVCNS, there were several successful attempts to use advanced phenotyping techniques in the identification and determination of desirable traits in sunflower. Using Flower Color Image Analysis (FloCIA) software, enhanced ray florets color determination and paved the way to more objective and accurate sunflower phenotyping, while thermal imaging was used for screening of sunflower for tolerance to Sclerotinia head and stem rot.", publisher = "Banja Luka : University of Banja Luka, Faculty of Agriculture", journal = "Book of Abstracts, 11th International Symposium of Agricultural Sciences AGRORES2022, 26-28 May 2022, Trebinje, Bosnia and Herzegovina", title = "Advanced phenotyping techniques in sunflower breeding", pages = "117-117", url = "https://hdl.handle.net/21.15107/rcub_fiver_2916" }
Cvejić, S., Jocić, S., Jocković, M., Dedić, B., Gvozdenac, S., Radanović, A., Kondić-Špika, A., Marjanović-Jeromela, A.,& Miladinović, D.. (2022). Advanced phenotyping techniques in sunflower breeding. in Book of Abstracts, 11th International Symposium of Agricultural Sciences AGRORES2022, 26-28 May 2022, Trebinje, Bosnia and Herzegovina Banja Luka : University of Banja Luka, Faculty of Agriculture., 117-117. https://hdl.handle.net/21.15107/rcub_fiver_2916
Cvejić S, Jocić S, Jocković M, Dedić B, Gvozdenac S, Radanović A, Kondić-Špika A, Marjanović-Jeromela A, Miladinović D. Advanced phenotyping techniques in sunflower breeding. in Book of Abstracts, 11th International Symposium of Agricultural Sciences AGRORES2022, 26-28 May 2022, Trebinje, Bosnia and Herzegovina. 2022;:117-117. https://hdl.handle.net/21.15107/rcub_fiver_2916 .
Cvejić, Sandra, Jocić, Siniša, Jocković, Milan, Dedić, Boško, Gvozdenac, Sonja, Radanović, Aleksandra, Kondić-Špika, Ankica, Marjanović-Jeromela, Ana, Miladinović, Dragana, "Advanced phenotyping techniques in sunflower breeding" in Book of Abstracts, 11th International Symposium of Agricultural Sciences AGRORES2022, 26-28 May 2022, Trebinje, Bosnia and Herzegovina (2022):117-117, https://hdl.handle.net/21.15107/rcub_fiver_2916 .