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.
2012
Authors
Clara Antón-Fernández Harold E. Burkhart Ralph L. AmateisAbstract
No abstract has been registered
Abstract
The pea moth Cydia nigricana (Lepidoptera: Tortricidae) is the key pest of the pea Pisum sativum (Fabaceae). Alternative pest control techniques need to be developed since efficient control options are scarce. Field studies in Northern Hessen, Germany, in the years 2006 - 2008 demonstrated a strong correlation between the seasonal flight period of C. nigricana and the phenology of pea. With this starting point, we propose to study the olfactory space between the pea plant and the pea moth, aiming to identify volatile cues encoding host recognition and host finding in pea moth females, and the potential use of these compounds for control of the pea moth. As a first step, two-choice experiments in the laboratory concerning complex plant odours were conducted to study the preference between different phenological development stages of pea plants using male and female C. nigricana (mated and non-mated). Males and non-mated females showed no preference, whereas mated females clearly preferred flowering pea plants. To study the host finding behaviour and upwind orientation of C. nigricana we conducted wind tunnel experiments, using pea plants in different phenological development stages. The preference of mated females for the pea flower has been confirmed and additionally, high attraction of mated females for the late bud stage was recorded. Overall, the flower and the late bud stage of P. sativum seem to be the most important phenological development stage of pea for host finding behaviour of C. nigricana. The next steps in this study are the identification, selection and characterisation of behavioural active pea plant compounds.
Abstract
No abstract has been registered
Authors
I.N Bolotov Yu. V. Bespalaya A.A Makhrov Paul Eric Aspholm A.S Aksenov M. Yu Gofarov G.A. Dvoryankin O.V. Usacheva I.V. Vikhrev S.E. Sokolova A.A. Pashinin A. DavydovAbstract
No abstract has been registered
Authors
Arne Oddvar Skjelvåg Arnold Arnoldussen Ove Mindor Klakegg Ole Einar TveitoAbstract
No abstract has been registered
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No abstract has been registered
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No abstract has been registered
Authors
Helge BerglannAbstract
No abstract has been registered
Authors
L. Dupont T Decaens Emmanuel Lapied V. Chassany R. Marichal F. Dubs M. Maillot V. RoyAbstract
No abstract has been registered
Abstract
The purpose of the study was to explore and compare three different methods for modelling potential natural vegetation (PNV), a hypothetic natural state of vegetation that shows nature's biotic potential in the absence of human influence and disturbance. The vegetation was mapped in a south-central Norwegian mountain region, in a 34.2 km2 area around the village of Beitostølen, in 2009. The actual vegetation map (AVM) formed the basis for the development of PNV using three different modelling methods: (1) an expert-based manual modelling (EMM), (2) rule-based envelope GIS-modelling (RBM), and (3) a statistical predictive GIS-modelling method (Maxent). The article shows that the three modelling methods have different advantages, challenges and preconditions. The findings indicate that: (1) the EMM method should preferably be used only as a supplementary method in highly disturbed areas, (2) both the RBM and the Maxent methods perform well, (3) RBM performs especially well, but also Maxent are more objective methods than EMM and they are much easier to develop and re-run after model validation, (4) Maxent probably underestimates the potential distribution of some vegetation types, whereas RBM overestimates, (5) the Maxent output is relative probabilities of distribution, giving higher model variation than RBM.