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.
2025
Authors
Guillermo Pardo Luciana Bava Eugenio Carlon Stefania Colombini Ffion Evans Francesco Fava James Gibbons Vibeke Lind Anna-Lena Müller Martina Pavesi Clemens Scheer Marion Sorley David Styles Agustin del PradoAbstract
No abstract has been registered
Abstract
No abstract has been registered
Authors
Vibeke Lind Quentin Lardy Haldis Kismul Shelemia Nyamuryekung'e Mårten Hetta Mohammad Ramin Grete H. M. JørgensenAbstract
Dairy production in the Scandinavian countries is characterized by a long indoor feeding period combined with a short grazing season. The main feed intake is from grass silage and concentrates. Methane (CH4) measurements from dairy cows in Scandinavia have been prioritised during their indoor feeding period, while measurements from their pasture periods are scarce. Two Scandinavian experiments (in Sweden and Norway) measured CH4 emissions from dairy cows kept on multi-species pastures. Both experiments combined GreenFeed units indoors and outdoors to measure CH4 emissions. The Swedish experiment investigated effects of part-time pasture access either daytime or night-time grazing on animal performance and CH4 emissions from parlour-milked cows. Time of day with pasture access had no effect on feed intake, milk production or CH4 emissions. The Norwegian experiment investigated the effects of cows roaming between the barn and either a production pasture or an exercise paddock, when milked in an automatic milking system. Production pasture aimed to provide 50% of the animals’ daily forage intake and cows in this system had significantly lower CH4 emissions compared to cows fed indoors with access to an exercise paddock. Giving access to pasture is an undervalued management action that may reduce GHG emissions from modern dairy production.
Authors
Vibeke LindAbstract
No abstract has been registered
Authors
Sanne van Gastelen Andre Bannink Chaouki Benchaar Arjan Jonker David Kenny Vibeke Lind Morten Maigaard Camila Munoz Christopher Reynolds Jan DijkstraAbstract
No abstract has been registered
Authors
Katja Karppinen Declan J. Lafferty Hilary Edema Tony McGhie Nick W. Albert Richard W. Espley Laura JaakolaAbstract
No abstract has been registered
Authors
Katja Karppinen Lauri Raami Hilary Edema Muhammad Furqan Ashraf Heikki M. Salo Richard V. Espley Laura JaakolaAbstract
Bilberry ( Vaccinium myrtillus L.) fruit are one of the best natural sources of anthocyanins. Anthocyanin and flavonoid biosynthesis are transcriptionally regulated by the conserved MBW complex, including R2R3 MYB, basic helix-loop-helix (bHLH) and WD40 proteins. In this study, homology-search in the bilberry genome identified three putative anthocyanin biosynthesis-regulating bHLH genes, all containing a MYB binding domain, indicating their possible interaction with R2R3 MYBs. Phylogenetic analysis assigned the VmbHLHs to three different clusters within the IIIf subgroup of bHLHs. The expression of VmbHLH2 elevated at berry ripening, while VmbHLH1 and VmbHLH3 showed decreasing expression towards berry maturation. When transiently overexpressed together with MdMYB10 in Nicotiana benthamiana leaves, VmbHLH2 and VmbHLH3 were able to complement MdbHLH3 and upregulate a full set of anthocyanin biosynthetic genes leading to anthocyanin accumulation. In contrast, VmbHLH1 induced a reduced set of flavonoid pathway genes. Our results provide the first functional characterization of flavonoid-regulating bHLHs that contribute to the MBW complex in the economically important genus Vaccinium. We propose that the TT8-type VmbHLH2 is involved in anthocyanin biosynthesis in ripening bilberry fruit, while the MYC1-type VmbHLH1 and GL3/EGL3-type VmbHLH3 are associated with anthocyanin and PA biosynthesis, mainly in tissues other than berries.
Authors
Priyanka Trivedi Gang-Shuai Liu Linards Klavins Raktim Bhattacharya Soile Jokipii-Lukkari Adinpunya Mitra Maris Klavins Da-qi Fu Laura Jaakola Anna Szakiel Katja KarppinenAbstract
Abstract The cuticle and cuticular waxes play vital roles as the interface between a plant and its environment. Cuticular waxes are composed of very long-chain fatty acids (VLCFAs) and their derivatives as well as triterpenoids, which are specialized metabolites. Although triterpenoids constitute a major fraction of cuticular waxes, their functions remain poorly understood. In this review, we provide an overview of the chemical diversity of triterpenoids in the cuticular waxes of leaves and fruits of angiosperms and discuss changes in triterpenoid content during their development. The methods and challenges for the analysis of cuticular wax triterpenoids are summarized. The biosynthesis of triterpenoids is also reviewed along with recent knowledge of the potential mechanisms of triterpenoid transportation and secretion from the site of biosynthesis to the plant surface. Considering ongoing climate change, the current understanding of the effects of environmental conditions and abiotic stress factors on cuticular wax triterpenoids is reviewed. We also present an overview of the current knowledge on the roles of triterpenoids in cuticular waxes in transpiration and defense against biotic stressors and their possible role in cuticle stabilization. Moreover, owing to the generally high levels of triterpenoids in fruit cuticular waxes, the provided information on the variation and role of cuticular wax triterpenoids during postharvest fruit storage might help in the development of strategies for better fruit quality maintenance and preservation.
Authors
Katja Karppinen Hilary Edema Muhammad Furqan Ashraf Laura JaakolaAbstract
No abstract has been registered
Authors
Adam Klimes Joseph Chipperfield Joachim Paul Töpper Marc Macias‐Fauria Marcus Spiegel Vigdis Vandvik Liv Guri Velle Alistair William Robin SeddonAbstract
A number of modelling frameworks exist to estimate resilience from ecological datasets. A subset of these frameworks seeks to estimate the whole ‘stability landscape', which can be used to calculate resilience and identify stable states and tipping points. These methods provide opportunities for insights into possible causes and consequences of variation in ecosystem resilience and dynamics. However, because such models can be complex to implement, there has so far been a substantial barrier to their application in ecological research. Here, we present the ‘mixglm' package for R software, which parametrizes stability landscapes using a mixture model approach. It provides tools for the calculation of resilience, identification of stable states and tipping points, as well as visualization functions. Flexible model specification allows the mean, precision, and probability of each mixture component to be linked to multiple predictors, such as environmental covariates. ‘mixglm' is based on Bayesian inference via NIMBLE and supports normal, beta, gamma, and negative binomial distributed response variables. We illustrate the use of ‘mixglm' with a published case of tree cover in South America, which reports a stability landscape with distinct stable states. Using ‘mixglm', we replicated the identification of these states. Moreover, we quantified the uncertainty of our estimates, and computed resilience estimates of South America's forests. We also conducted a power analysis to provide guidance regarding required sample sizes. ‘mixglm' can be readily used to describe stability landscapes and identify stable states in most spatial datasets, and it is accompanied by tools for the calculation of resilience estimates.