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Publikasjoner

NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.

2021

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Sammendrag

The interest in old cultivars of apple trees, their fruit and processed products is growing worldwide. Studies on the qualitative and quantitative composition of biological compounds are important for the evaluation of the quality and nutritional properties of apple fruit. A variation in the qualitative and quantitative composition of triterpenic compounds was found in the fruit of apple cultivars included in the collection of National Plant Genetic Resources. A high-performance liquid chromatography (HPLC) analysis showed that the fruit of the cultivar ‘Birutės pepinas’ had the highest total amount (5.17 ± 0.86 mg g-1) of triterpenic compounds. Higher total amounts of triterpenic compounds were also found in the fruit of apple cultivars ‘Tabokinė’ and ‘Panemunės baltasis’ (3.72 ± 0.57 and 4.25 ± 0.17 mg g-1, respectively). By the quantitative composition, triterpenic compounds in apple fruit were ranked in the following order: ursolic acid > oleanolic acid > corosolic acid > betulinic acid. The old apple cultivars ‘Birutės pepinas’, ‘Panemunės baltasis’ and ‘Tabokinė’ included in the collection of National Plant Genetic Resources have a potential for cultivation in industrial orchards and for the use of their apples, and processed apple products as natural functional foods rich in triterpenic compounds and adapted for medical purposes, including the prevention of various diseases. Key words: apple, old cultivars, triterpenic compounds.

Sammendrag

Grassland farmers face ever increasing demands on their production systems and the quality of their grassland yields. Estimating pasture quality using traditional field methods is limited as it is time consuming and costly, and requires some destructive sampling. The field of remote sensing offers alternative tools and techniques to overcome some of the limitations and thereby help farmers to receive spatial continuous and near real-time information about grassland quality parameters. This review gives an overview about recent developments in the remote sensing-based estimation of three aspects of grassland quality: feed quality, biological nitrogen fixation by legumes, and the identification of unwanted plant species.