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.
2007
Authors
Svein EilertsenAbstract
Det er ikke registrert sammendrag
Authors
Inger HansenAbstract
Det er ikke registrert sammendrag
Authors
Inger HansenAbstract
Orientering om standardene (fastsatt av DN) for de mest effektive forebyggende tiltak mot tap av sau til rovvilt.
Authors
Peder GjerdrumAbstract
Predicting the yield and quality of sawn timber continues to be a challenging task, influenced by several stochastic processes: Log dimension and shape under bark varies, accuracy of sawing is not perfect, etc. This work presents an annotated model based on an approach successfully applied in the industry through a couple of decades. A number of important timber yield predictors are identified, and the following models give unbiased yield estimates. Being in need of adjustment before transferring to new locations, the approach might be considered a powerful tool to analyse and improve the operation, rather than a complete model in itself. Nevertheless, the notional, purely geometric, models might be superior for analysing unfamiliar sawing patterns, even if they tend to overestimate the yield. Thus, the two methods should preferably be used in combination, rather than one replacing the other. Finally, the everyday use of such models is illustrated and a procedure for associating sawn timber with suitable logs is outlined.
Abstract
Hovedmålsetningen til prosjektet er å redusere mengden av mykotoksiner i norsk korn. Vi ønsker blant annet å klargjøre hvordan klima og dyrkningsmessige forhold påvirker utvikling av Fusarium og mykotoksiner i havre og vårhvete. De resultatene som fremkommer i løpet av prosjektperioden vil videre brukes til å utvikle systemer for varsling ved særlig fare for Fusarium-angrep (på regionnivå, evt. gårdsnivå).
Abstract
Det er ikke registrert sammendrag
Abstract
Hovedmålsetningen til prosjektet er å redusere mengden av mykotoksiner i norsk korn. Vi ønsker blant annet å klargjøre hvordan klima og dyrkningsmessige forhold påvirker utvikling av Fusarium og mykotoksiner i havre og vårhvete. De resultatene som fremkommer i løpet av prosjektperioden vil videre brukes til å utvikle systemer for varsling ved særlig fare for Fusarium-angrep (på regionnivå, evt. gårdsnivå).
Authors
Trond Henriksen Audun Korsæth Tor Arvid Breland Bo Stenberg Lars Stoumann Jensen Sander Bruun Jon Gudmundsson Fridrik Palmason Anders Pedersen Tapio SaloAbstract
Mechanistic, multi-compartment decomposition models require that carbon (C) and nitrogen (N) in plant material be distributed among pools of different degradability. For this purpose, measured concentrations of C and N in fractions obtained through stepwise chemical digestion (SCD) and values predicted from near-infrared (NIR) spectra or total plant N concentration were compared. Seventysix cash, forage, green manure and cover crop plant materials representing a wide range in biological origin and chemical quality were incubated in a sandy soil at 15 degrees C and -10 kPa water potential for 217 d. A mechanistic decomposition model was calibrated with data from soil without plant material and initialised by data on amounts of C and N in fractions obtained from SCD directly or C and N in SCD fractions as predicted from NIR spectroscopy or plant N concentration. All model parameters describing C and N flows from plant material were kept at default values as defined in previous, independent works with the same model. When results from SCD were used directly to initialise the decomposition model, C and N mineralisation dynamics were predicted well (r(2) = 0.76 and 0.70 for C mineralisation rates and accumulation of inorganic N, respectively). When a NIR calibration was used to predict the SCD data, this resulted in nearly equally good model performance (r(2) = 0.76 and 0.69 for C and N mineralisation, respectively). This was also the case when SCD data were predicted from plant material N concentration (r(2) = 0.76 and 0.69 for C and N). We conclude that the combined use of a mechanistic decomposition model and quality data from SCD is a highly adequate basis for an a priori description of the mineralisation of both C and N from common agricultural plant materials, and that both NIR spectroscopy and measurement of total N concentration offer good and cost-effective alternatives if they are calibrated with SCD data. (C) 2007 Elsevier Ltd. All rights reserved.
Authors
Johannes DeelstraAbstract
En analyse foretatt på målt avrenning i jordbruksdominerte nedbørsfelt i Norge og to Baltiske land(Estland , Latvia) viste at det er stor variasjon i avrenninsintensitet. I de fleste tilfeller er jordbruks jord drenert som blir settt som en av de viktigste årsaker. Andre årsaker er bakkeplanering, jordtyper og topografien. Variasjon i avrenningsintensitet blir betydelig redusert for større nedbørsfelt. Sammenliknet med Norge er intensiteten i to Baltiske land betydelig lavere.
Abstract
A review on the most common potato-infecting viruses was given. The following viruses were described: Potato virus X, Potato virus Y, Potato virus M, Potato virus S, Potato moptop virus and Tobacco rattle virus. The way each virus is transmitted as well as strategies to prevent aphid transmission of viruses was explained