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.
2019
Authors
Therese With BergeAbstract
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Authors
Raghuram Badmi Yupeng Zhang Torstein Tengs May Bente Brurberg Paal Krokene Carl Gunnar Fossdal Timo Hytönen Tage ThorstensenAbstract
No abstract has been registered
Authors
Ibrahim Tahir Eivind VangdalAbstract
Prediction of the optimum harvest date and storability of apples is an important concern for the fruit industry in Scandinavia. Streif index, firmness or only starch conversion are commonly used methods. To replace these with a more practical and non-destructive method, a portable spectrometer (DA meter, chlorophyll absorbance index (IAD)) was used to determine the optimum harvest date and storage potential for five apple cultivars grown in a cool climate. There was a very strong negative correlation between harvest date and IAD value in all cultivars. IAD values also showed a strong negative correlation with fruit respiration. However, the relationship was stronger in ‘Discovery’, ‘Rubinola’ and ‘Santana’ than in ‘Aroma’ and ‘Karin Schneider’. Streif index values showed very close relationships with IAD in all five apple cultivars. Apples harvested with IAD values of 0.8-1.8 had Streif index values of 0.14-0.20, which corresponds to an adequate threshold for harvesting apples for long-term storage. After four months in cold storage, fruits with higher IAD value at harvest showed higher firmness in all cultivars except ‘Rubinola’, and slower softening in ‘Aroma’, ‘Rubinola’ and ‘Santana’. Only in ‘Aroma’ and ‘Karin Schneider’ did IAD show a negative correlation, with a decline in soluble solids content during storage. Negative correlations were also found between IAD values at harvest or after storage and the occurrence of fungal decay. Since fruit respiration rate increases with advanced maturity while Streif index decreases, determination of IAD can be a very promising technique to predict the storage potential of apples and to identify high-quality fruit.
Authors
Oda Kjørlaug Svennevik Odd Egil Solheim Greeley Beck Geir Sørland Kjell Rune Jonassen Ester Rus Bjørge Westereng Svein Jarle Horn Matthew J. Higgins Pål Jahre NilsenAbstract
© 2019 The Authors This is an Open Access article distributed under the terms of the CreativeCommons Attribution Licence (CC BY 4.0), which permits copying,adaptation and redistribution, provided the original work is properly cited(http://creativecommons.org/licenses/by/4.0/). doi: 10.2166/wst.2019.379
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Authors
Pia Heltoft ThomsenAbstract
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Authors
Idoia Biurrun Sabina Burrascano Iwona Dembicz Riccardo Guarino Jutta Kapfer Remigiusz Pielech Itziar García-Mijangos Viktoria Wagner Salza Palpurina Anne Mimet Vincent Pellissier Corrado Marcenó Arkadiusz Nowak Ariel Bergamini Steffen Boch Anna Mária Csergő John-Arvid Grytnes Juan Antonio Campos Brigitta Erschbamer Borja Jiménez-Alfaro Zygmunt Kącki Anna Kuzemko Michael Manthey Koenraad Van Meerbeek Grzegorz Swacha Elias Afif Juha M. Alatalo M Aleffi Manuel Babbi Zoltán Bátori Elena Belonovskaya Christian Berg Kuber Prasad Bhatta Laura Cancellieri Tobias Ceulemans Balázs Deák László Demeter Lei Deng Jiří Doležal Christian Dolnik Wenche Dramstad Pavel Dřevojan Klaus Ecker Franz Essl J. Etzold Goffredo Filibeck Wendy Fjellstad Behlul Güler Michal Hájek Daniel Hepenstrick John G. Hodgson João Honrado Annika Jagerbrand Monika Janišová Philippe Jeanneret András Kelemen Philipp Kirschner Ewelina Klichowska Ganna Kolomiiets Łukasz Kozub Jan Lepš Regina Lindborg Swantje Löbel Angela Lomba Martin Magnes Helmut Mayrhofer Marek Malicki Ermin Mašić Eliane S. Meier Denis Mirin Ulf Molau Ivan Y. Moysiyenko Alireza Naqinezhad Josep M. Ninot M Nobis Christian Pedersen Aaron Pérez-Haase Jan Peters Eulàlia Pladevall-Izard Jan Rolecek Vladimir Ronkin Galina Savchenko Dariia Shyriaieva Hanne Sickel Carly Stevens Sebastian Świerszcz Csaba Tölgyesi Nadezda Tsarevskaya Orsolya Valkó Carmen Van Mechelen Iuliia Vashenyak Ole Reidar Vetaas Denys Vynokurov Emelie Waldén Stefan Widmer Sebastian Wolfrum Anna Wróbel Ekaterina Zlotnikova Jürgen DenglerAbstract
Abstract: GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). Following a previous Long Database Report (Dengler et al. 2018, Phyto-coenologia 48, 331–347), we provide here the first update on content and functionality of GrassPlot. The current version (GrassPlot v. 2.00) contains a total of 190,673 plots of different grain sizes across 28,171 independent plots, with 4,654 nested-plot series including at least four grain sizes. The database has improved its content as well as its functionality, including addition and harmonization of header data (land use, information on nestedness, structure and ecology) and preparation of species composition data. Currently, GrassPlot data are intensively used for broad-scale analyses of different aspects of alpha and beta diversity in grassland ecosystems.
Authors
Hubert Dirven Jan Ludvig Lyche Marit Låg Asbjørn Magne Nilsen Katrine Borgå Ole Martin Eklo Merete Grung Line Emilie Sverdrup Torsten KällqvistAbstract
No abstract has been registered