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Feature selection and performance assessment of machine learning algorithms for sunflower oil yield prediction
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
Rapid innovation and liberalized market economy in agriculture require a fast and accurate Sunflower Oil Yield Prediction (SOYP). SOYP is a complex task since it depends on multiple factors. Machine Learning (ML) algorithms ...
Secretory tissues of discs flowers in wild Helianthus L. species
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
Flower morphological characteristics influence abundance and foraging behavior of pollinators. As a source of food, nectar has important role in attracting pollinators and improving the percentage of fertilization in ...
Inovative “attract & kill” strategy for controling wireworms in sunflower
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
Recent EU regulations aim at reducing the use of synthetic pesticides in agriculture. In sunflower production systems in Serbia, the use of insecticides as soil and seed treatments was predominant practice of wireworm ...
Assessment of stability of seed oil and protein content in confectionery hybrids using the apple AMMI analysis
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
High seed protein content and low oil content are the most important criteria when introducing high protein confectionary hybrids into the production. Testing new hybrids and detection of hybrids that maintain stability ...
A Novel Method of Determination of Individual Oil Content in Sunflower and Flaxseed Oil Blends
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
Vegetable oils have different sensory, physico-chemical and nutritive characteristics and shelf life, which is why the use of only one vegetable oil in diet is often not sufficient. Oil blending represents a very simple ...
New approaches in phenotype prediction – machine learning techniques
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
Use of multivariate modelling in order to improve prediction accuracy has been widely applied in plant breeding programs. In these models phenotype prediction is based on large number of independent variables which is at ...
Plasmopara halstedii race 735 in Serbia
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
Downy mildew is common disease of sunflower. If not controlled, damage inflicted on sunflower can be severe. Widely used method of disease control is growing resistant genotypes. Pathogen is adapting to changes in host by ...
Mining root traits for sunflower drought tolerance improvement by use of an automated phenotyping platform
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
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 ...
Sunflower broomrape – update on virulence in Serbia
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
Broomrape Orobanche cumana, widespread achlorophyllous plant parasite, is considered as major constraint in sunflower production. Presently, research of parasite virulence indicating new and continuously changing patterns ...
Climate Crops Centre of Excellence – bringing innovation in sunflower breeding for climate resilience
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
Sunflower breeding and selection are continual processes designed to increase its yield and improve the resilience to biotic and abiotic stresses. Breeders have been successful in producing a large number of varieties using ...