Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2018
Authors
Lise GrøvaAbstract
No abstract has been registered
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Therese With BergeAbstract
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Authors
Adnan Alihodzic Fuad Gasi Pakeza Drkenda Asima Akagic Amila Vranac Mekjell Meland Osman Music Nermina SpahoAbstract
Introduction and background: Autochthonous fruits in Bosnia and Herzegovina (B&H) represent great opportunities for fruit breeding, because they could be grown without costly agricultural inputs and offer valuable assets for the fruit processing industry providing a specific and different sensory taste for the fruit products. Hence, the objective of this study was to sensory evaluate fruits from 34 autochthonous apple and 29 pear cultivars in 2012 and 2013 from an ex-situ collection in B&H by eight trained panelists, using Quantitative Descriptive Analysis (QDA). Experimental: Flavour of fruits was described by the eight sensory attributes a) flavour: odour intensity, b) sweet, c) sour, d) green, fruit, e) floral flavour, f) typically, g) after taste and h) overall conception and subjected to principal component analysis (PCA) to visualise the sensory attributes. Results: For apple, the traditional cvs. ‘Prijedorska Zelenika’, ‘Paradija’, ‘Srebrenička’, ‘Bukovija’ and ‘Ljepocvijetka’ reached the best flavour scores in both years, while in pear, cvs. ‘Takiša’, ‘Hambarka’, ‘Dolokrahan’ and ‘Kačmorka’ exhibited the best flavour in both years, followed by cvs. ‘Begarika’, ‘Jeribasma’, ‘Ahmetova’ and ‘Hambarka’ with intense floral flavour and odour. In these tastings, B & H grown apple cv. ‘Golden Delicious’ also scored highly compared with cvs ‘Idared’, ‘Granny Smith’ and ‘Gala’ with a lesser characteristic apple flavour and pear cvs ‘Williams’ and ‘Sweet Harrow’ scored better than ‘Alexander Lukas’ and ‘Gellerts’ from B & H.
Authors
Stefano PulitiAbstract
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Authors
Tomas Persson Mats Höglind Marcel van Oijen Panu Korhonen Taru Palosuo Guillaume Jégo Perttu Virkajärvi Gilles Bélanger Anne-Maj GustavssonAbstract
Different forage grass models are used to simulate forage yield and nutritive attributes, but these models are seldom compared, particularly those for timothy (Phleum pratense L.), a widely grown forage grass species in agricultural regions with a cold temperate climate. We compared the models BASGRA, CATIMO and STICS for their predictions of timothy crude protein (CP) concentration, neutral detergent fibre (NDF) concentration and NDF digestibility (dNDF), three important forage nutritive attributes. Data on CP and NDF concentrations, and dNDF and the associated weather and soil data for seven cultivars, taken from eight field experiments in Canada, Finland, Norway, and Sweden, were divided into calibration and validation datasets. Model parameters were estimated for each cultivar separately (cultivar-specific calibration) and for all cultivars together (generic calibration), using different methods for the three models. Normalized root mean square error (RMSE) in prediction of CP concentration varied between 16 and 26% for BASGRA, 45 and 101% for CATIMO and 23 and 40% for STICS across the two calibration methods and the calibration and validation datasets. Normalised RMSE in prediction of NDF concentration varied between 8 and 13% for BASGRA, 14 and 21% for CATIMO and 8 and 12% for STICS, while for dNDF it varied between 7 and 22% for BASGRA, 7 and 38% for CATIMO and 5 and 6% for STICS. Cultivar-specific calibration improved the performance of CATIMO and STICS, but not BASGRA, compared with generic calibration. The prediction accuracy for NDF concentration and dNDF with the three models was within the same range or better than that for forage dry matter (DM) yield of timothy. Overall, the three models performed well in predicting some nutritive attributes and yield in Northern Europe and Canada, but improvements are required, particularly to increase the prediction accuracy of CP concentration.
Authors
Monica Suarez Korsnes Reinert KorsnesAbstract
Long-term video-based tracking of single A549 lung cancer cells exposed to three different concentrations of the marine toxin yessotoxin (YTX) reveals significant variation in cytotoxicity, and it confirms the potential genotoxic effects of this toxin. Tracking of single cells subject to various toxic exposure, constitutes a conceptually simple approach to elucidate lineage correlations and sub-populations which are masked in cell bulk analyses. The toxic exposure can here be considered as probing a cell population for properties and change which may include long-term adaptation to treatments. Ranking of pedigree trees according to a measure of “size,” provides definition of sub-populations. Following single cells through generations indicates that signaling cascades and experience of mother cells can pass to their descendants. Epigenetic factors and signaling downstream lineages may enhance differences between cells and partly explain observed heterogeneity in a population. Signaling downstream lineages can potentially link a variety of observations of cells making resulting data more suitable for computerized treatment. YTX exposure of A549 cells tends to cause two main visually distinguishable classes of cell death modalities (“apoptotic-like” and “necrotic-like”) with approximately equal frequency. This special property of YTX enables estimation of correlation between cell death modalities for sister cells indicating impact downstream lineages. Hence, cellular responses and adaptation to treatments might be better described in terms of effects on pedigree trees rather than considering cells as independent entities.
Authors
Siri Elise DybdalAbstract
Innovative approaches and technologies for Integrated Pest Management (IPM) to increase sustainable food production was the topic of the 3rd annual SMARTCROP meeting.
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No abstract has been registered
Authors
Lampros LamprinakisAbstract
No abstract has been registered