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
Márk Rékási Nikolett Mazsu Eszter Draskovits Botond Bernhardt Anita Szabó Pierre-Adrien Rivier Csilla Farkas Barbara Borsányi Béla Pirkó Sándor Molnár György Kátay Nikolett UzingerAbstract
The aim of this work was to investigate whether the agronomic traits of vermicompost prepared from partially stabilised sewage sludge digestate after thermophilic composting were more favourable than those of conventional compost. The effects of various additives (green waste, spent mushroom compost, wheat straw, biochar) were also tested after 1.5 months precomposting followed by 3 months vermicomposting with Eisenia fetida or by compost maturing. Vermicomposting did not result in significantly more intensive mineralisation than composting; the average organic carbon contents were 21.2 and 22.2% in vermicomposts and composts, respectively. Hence, the average total (N: 2.4%; P: 1.9%; K: 0.9%) and available (N: 160 mg/kg; P: 161 mg/kg; K: 0.8%) macronutrient concentrations were the same in both treatments. The processing method did not influence the organic matter quality (E4/E6) either. However, on average the concentration of the plant growth regulator kinetin was more than twice as high in vermicomposts.
Abstract
Pastures are botanically diverse and difficult to characterize. Digital modeling of pasture biomass and quality by non-destructive methods can provide highly valuable support for decision-making. This study aimed to evaluate aerial and on-ground methods to characterize grass ley fields, estimating plant height, biomass and volume, using digital grass models. Two fields were sampled, one timothy-dominant and the other ryegrass-dominant. Both sensing systems allowed estimation of biomass, volume and plant height, which were compared with ground truth, also taking into consideration basic economical aspects. To obtain ground-truth data for validation, 10 plots of 1 m2 were manually and destructively sampled on each field. The studied systems differed in data resolution, thus in estimation capability. There was a reasonably good agreement between the UAV-based, the RGB-D-based estimates and the manual height measurements on both fields. RGB-D-based estimation correlated well with ground truth of plant height (R 2 > 0.80) for both fields, and with dry biomass (R 2 = 0.88), only for the timothy field. RGB-D-based estimation of plant volume for ryegrass showed a high agreement (R 2 = 0.87). The UAV-based system showed a weaker estimation capability for plant height and dry biomass (R 2 < 0.6). UAV-systems are more affordable, easier to operate and can cover a larger surface. On-ground techniques with RGB-D cameras can produce highly detailed models, but with more variable results than UAV-based models. On-ground RGB-D data can be effectively analysed with open source software, which is a cost reduction advantage, compared with aerial image analysis. Since the resolution for agricultural operations does not need fine identification the end-details of the grass plants, the use of aerial platforms could result a better option in grasslands.
Authors
Milica Fotiric Akšic Tomislav Tosti Milica Sredojevic Jasminka Milivojevic Mekjell Meland Maja NaticAbstract
The objective of this study was to determine and compare the sugar profile, distribution in fruits and leaves and sink-source relationship in three strawberry (‘Favette’, ‘Alba’ and ‘Clery’) and three blueberry cultivars (‘Bluecrop’, ‘Duke’ and ‘Nui’) grown in organic (OP) and integrated production systems (IP). Sugar analysis was done using high-performance anion-exchange chromatography (HPAEC) with pulsed amperometric detection (PAD). The results showed that monosaccharide glucose and fructose and disaccharide sucrose were the most important sugars in strawberry, while monosaccharide glucose, fructose, and galactose were the most important in blueberry. Source-sink relationship was different in strawberry compared to blueberry, having a much higher quantity of sugars in its fruits in relation to leaves. According to principal component analysis (PCA), galactose, arabinose, and melibiose were the most important sugars in separating the fruits of strawberries from blueberries, while panose, ribose, stachyose, galactose, maltose, rhamnose, and raffinose were the most important sugar component in leaves recognition. Galactitol, melibiose, and gentiobiose were the key sugars that split out strawberry fruits and leaves, while galactose, maltotriose, raffinose, fructose, and glucose divided blueberry fruits and leaves in two groups. PCA was difficult to distinguish between OP and IP, because the stress-specific responses of the studied plants were highly variable due to the different sensitivity levels and defense strategies of each cultivar, which directly affected the sugar distribution. Due to its high content of sugars, especially fructose, the strawberry cultivar ‘Clery’ and the blueberry cultivars ‘Bluecrop’ and ‘Nui’ could be singled out in this study as being the most suitable cultivars for OP.
Authors
Odd Arne Rognli Liv Østrem Petter Marum Arild Larsen Marcin RapaczAbstract
No abstract has been registered
Authors
Knut Løyland Oddbjørn Raaum Gaute Torsvik Arnstein ØvrumAbstract
No abstract has been registered
Authors
Priyanka Trivedi Katja Karppinen Linards Klavins Jorens Kviesis Petri Sundqvist Nga Nguyen Esa Heinonen Maris Klavins Laura Jaakola Juha Väänänen Janne Remes Hely HäggmanAbstract
Aerial surfaces of plants are covered by a waxy cuticle protecting plants from excessive water loss and UV light. In the present study, composition and morphology of cuticular waxes of northern wild berry species bilberry (Vaccinium myrtillus L.), lingonberry (V. vitis-idaea L.), bog bilberry (V. uliginosum L.) and crowberry (Empetrum nigrum L.) were investigated. Scanning electron microscopy (SEM) revealed differences in epicuticular wax morphology, and gas chromatography–mass spectrometry (GC–MS) analysis confirmed variation in chemical composition of cuticular waxes between the berry species. The dominant compounds in bilberry and lingonberry cuticular waxes were triterpenoids, while fatty acids and alkanes were the dominant ones in bog bilberry and crowberry, respectively. Wax extracted by supercritical fluid extraction (SFE) from industrial press cakes of bilberry and lingonberry contained linoleic acid and γ-linolenic acid as the dominant compounds. Furthermore, in vitro sun protection factor (SPF) of berry waxes depicted good UV-B absorbing capacities.
Abstract
No abstract has been registered
Authors
Marit Almvik Nina Elisabeth Nagy Hans Ragnar Norli Ari Hietala Sven R. Odenmarck Monica Fongen Anas KamlehAbstract
No abstract has been registered
Abstract
The continuous increase in global population and living standards, is leading to an increase in demand for food and feed resources. The world’s oceans have the largest unlocked potential for meeting such demands. Norway already has an extensive aquaculture industry, but still has great ambitions and possibilities to develop and expand this industry. One of the important topics for improving the value chain of Norwegian aquaculture is to secure the access to feed resources and to improve the environmental impacts. Today, most of the feed-protein sources used in aquaculture are imported in the form of soy protein. The research project Energy efficient PROcessing of MACroalgae in blue-green value chains (PROMAC) aimed, among other research questions, to investigate cultivated seaweeds as a potential raw material for fish feed. This paper assesses Life Cycle Analysis (LCA)-perspectives of scenarios for future seaweed production of feed-protein for fish and compares this with today’s situation of imported soy protein for fish feed. The insights from the LCA are very important for the configuration of the entire production value chain, to ensure that the environmental aspects are taken into account in a holistic fashion.
Authors
Pablo González-Moreno Lorenzo Lazzaro Montserrat Vilà Cristina Preda Tim Adriaens Sven Bacher Giuseppe Brundu Gordon H. Copp Franz Essl Emili Garcia-Berthou Stelios Katsanevakis Toril Loennechen Moen Frances E. Lucy Wolfgang Nentwig Helen E. Roy Greta Srėbalienė Venche Talgø Sonia Vanderhoeven Ana Andjelković Kęstutis Arbačiauskas Marie-Anne Auger-Rozenberg Mi-Jung Bae Michel Bariche Pieter Boets Mário Boieiro Paulo Alexandre Borges João Canning-Clode Frederico Cardigos Niki Chartosia Elizabeth Joanne Cottier-Cook Fabio Crocetta Bram D'hondt Bruno Foggi Swen Follak Belinda Gallardo Øivind Gammelmo Sylvaine Giakoumi Claudia Giuliani Guillaume Fried Lucija Šerić Jelaska Jonathan M. Jeschke Miquel Jover Alejandro Juárez-Escario Stefanos Kalogirou Aleksandra Kočić Eleni Kytinou Ciaran Laverty Vanessa Lozano Alberto Maceda-Veiga Elizabete Marchante Hélia Marchante Angeliki F. Martinou Sandro Meyer Dan Michin Ana Montero-Castaño Maria Cristina Morais Carmen Morales-Rodriguez Nadia Muhthassim Zoltán Á. Nagy Nikica Ogris Huseyin Onen Jan Pergl Riikka Puntila Wolfgang Rabitsch Triya Tessa Ramburn Carla Rego Fabian Reichenbach Carmen Romeralo Wolf-Christian Saul Gritta Schrader Rory Sheehan Predrag Simonović Marius Skolka António Onofre Soares Leif Sundheim Ali Serhan Tarkan Rumen Tomov Elena Tricarico Konstantinos Tsiamis Ahmet Uludağ Johan van Valkenburg Hugo Verreycken Anna Maria Vettraino Lluís Vilar Øystein Wiig Johanna Witzell Andrea Zanetta Marc KenisAbstract
Standardized tools are needed to identify and prioritize the most harmful non-native species (NNS). A plethora of assessment protocols have been developed to evaluate the current and potential impacts of non-native species, but consistency among them has received limited attention. To estimate the consistency across impact assessment protocols, 89 specialists in biological invasions used 11 protocols to screen 57 NNS (2614 assessments). We tested if the consistency in the impact scoring across assessors, quantified as the coefficient of variation (CV), was dependent on the characteristics of the protocol, the taxonomic group and the expertise of the assessor. Mean CV across assessors was 40%, with a maximum of 223%. CV was lower for protocols with a low number of score levels, which demanded high levels of expertise, and when the assessors had greater expertise on the assessed species. The similarity among protocols with respect to the final scores was higher when the protocols considered the same impact types. We conclude that all protocols led to considerable inconsistency among assessors. In order to improve consistency, we highlight the importance of selecting assessors with high expertise, providing clear guidelines and adequate training but also deriving final decisions collaboratively by consensus.