TY  - CONF
AU  - Radanović, Aleksandra
AU  - Galinski, Anna
AU  - Jocković, Milan
AU  - Cvejić, Sandra
AU  - Terzić, Sreten
AU  - Jocić, Siniša
AU  - Miladinović, Dragana
AU  - Fiorani, Fabio
AU  - Nagel, Kerstin
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2914
AB  - Drought is a major limiting abiotic factor in production of sunflower (Helianthus annuus L.), one of the main oil crops, worldwide. Consequently, breeders are always in search of drought tolerant genotypes and getting more insight into mechanisms underlying drought tolerance. With the global environmental changes occurring, drought stress gained even more on its significance. Different and significant changes in plant morphology and metabolism occur in response to drought stress. Analysis of the root as a main plant organ for water uptake, was mainly neglected, mostly due to the diffi culties of reaching and examining it. Development of modern automated phenotyping platforms enable overcoming this problem. For the purpose of analyzing response of sunflower root system to water deprivation conditions, cultivated and wild sunflower genotypes were chosen from a vast sunflower collection located at the Institute of Field and Vegetable Crops (IFVCNS). Sunflower root architecture was analyzed by the use of the automated phenotyping platform GROWSCREEN-Rhizo located at the institute IBG-2: Plant Sciences at Forschungszentrum Jülich GmbH (FZJ). The aim of this study was to analyze the responses of different genotypes and genotypic constitutions to water defficiency conditions and to identify root trait(s) that could be used as a discriminant between genotypes that are tolerant and sensitive to low water availability.
PB  - Paris : International Sunflower Association
PB  - Novi Sad : Institute of Field and Vegetable Crops
C3  - Proceedings, 20th International Sunflower Conference, 20-23 June 2022, Novi Sad, Serbia
T1  - Mining root traits for sunflower drought tolerance improvement by use of an automated phenotyping platform
EP  - 250
SP  - 250
UR  - https://hdl.handle.net/21.15107/rcub_fiver_2914
ER  - 

@conference{
author = "Radanović, Aleksandra and Galinski, Anna and Jocković, Milan and Cvejić, Sandra and Terzić, Sreten and Jocić, Siniša and Miladinović, Dragana and Fiorani, Fabio and Nagel, Kerstin",
year = "2022",
abstract = "Drought is a major limiting abiotic factor in production of sunflower (Helianthus annuus L.), one of the main oil crops, worldwide. Consequently, breeders are always in search of drought tolerant genotypes and getting more insight into mechanisms underlying drought tolerance. With the global environmental changes occurring, drought stress gained even more on its significance. Different and significant changes in plant morphology and metabolism occur in response to drought stress. Analysis of the root as a main plant organ for water uptake, was mainly neglected, mostly due to the diffi culties of reaching and examining it. Development of modern automated phenotyping platforms enable overcoming this problem. For the purpose of analyzing response of sunflower root system to water deprivation conditions, cultivated and wild sunflower genotypes were chosen from a vast sunflower collection located at the Institute of Field and Vegetable Crops (IFVCNS). Sunflower root architecture was analyzed by the use of the automated phenotyping platform GROWSCREEN-Rhizo located at the institute IBG-2: Plant Sciences at Forschungszentrum Jülich GmbH (FZJ). The aim of this study was to analyze the responses of different genotypes and genotypic constitutions to water defficiency conditions and to identify root trait(s) that could be used as a discriminant between genotypes that are tolerant and sensitive to low water availability.",
publisher = "Paris : International Sunflower Association, Novi Sad : Institute of Field and Vegetable Crops",
journal = "Proceedings, 20th International Sunflower Conference, 20-23 June 2022, Novi Sad, Serbia",
title = "Mining root traits for sunflower drought tolerance improvement by use of an automated phenotyping platform",
pages = "250-250",
url = "https://hdl.handle.net/21.15107/rcub_fiver_2914"
}

Radanović, A., Galinski, A., Jocković, M., Cvejić, S., Terzić, S., Jocić, S., Miladinović, D., Fiorani, F.,& Nagel, K.. (2022). Mining root traits for sunflower drought tolerance improvement by use of an automated phenotyping platform. in Proceedings, 20th International Sunflower Conference, 20-23 June 2022, Novi Sad, Serbia
Paris : International Sunflower Association., 250-250.
https://hdl.handle.net/21.15107/rcub_fiver_2914

Radanović A, Galinski A, Jocković M, Cvejić S, Terzić S, Jocić S, Miladinović D, Fiorani F, Nagel K. Mining root traits for sunflower drought tolerance improvement by use of an automated phenotyping platform. in Proceedings, 20th International Sunflower Conference, 20-23 June 2022, Novi Sad, Serbia. 2022;:250-250.
https://hdl.handle.net/21.15107/rcub_fiver_2914 .

Radanović, Aleksandra, Galinski, Anna, Jocković, Milan, Cvejić, Sandra, Terzić, Sreten, Jocić, Siniša, Miladinović, Dragana, Fiorani, Fabio, Nagel, Kerstin, "Mining root traits for sunflower drought tolerance improvement by use of an automated phenotyping platform" in Proceedings, 20th International Sunflower Conference, 20-23 June 2022, Novi Sad, Serbia (2022):250-250,
https://hdl.handle.net/21.15107/rcub_fiver_2914 .