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.
2021
Sammendrag
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Forfattere
Andrea FickeSammendrag
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Forfattere
Elisabeth Pötzelsberger Martin M. Gossner Ludwig Beenken Anna Gazda Michal Petr Tiina Ylioja Nicola La Porta Dimitrios N. Avtzis Elodie Bay Maarten De Groot Rein Drenkhan Mihai-Leonard Duduman Rasmus Enderle Margarita Georgieva Ari Hietala Björn Hoppe Herve Jactel Kristjan Jarni Srđan Keren Zsolt Keseru Marcin Koprowski Andrej Kormuťák María Josefa Lombardero Aljona Lukjanova Vitas Marozas Edurad Mauri Maria Cristina Monteverdi Per Holm Nygaard Nikica Ogris Nicolai Olenici Christophe Orazio Bernhard Perny Glória Pinto Michael Power Radoslaw Puchalka Hans Peter Ravn Ignacio Sevillano Sophie Stroheker Paul Taylor Panagiotis Tsopelas Josef Urban Kaljo Voolma Marjana Westergren Johanna Witzell Olga Zborovska Milica ZlatkovicSammendrag
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Forfattere
Torstein Kvamme Michail Mandelshtam Мaria Salnitska Dario Isidro Ojeda Alayon Åke LindelövSammendrag
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Forfattere
Owusu Fordjour Aidoo Sarah Cunze Ritter Atoundem Guimapi Linda Arhin Fred Kormla Ablormeti Elizabeth Tettey Frank Dampare Yayra Afram Osei Bonsu Joshua Obeng Hanif Lutuf Matthew Dickinson Ndede YankeySammendrag
Coconut is recognized for its popularity in contributing to food and nutritional security. It generates income and helps to improve rural livelihood. However, these benefits are constrained by lethal yellowing disease (LYD). A clear understanding of climate suitable areas for disease invasion is essential for implementing quarantine measures. Therefore, we used a machine learning algorithm based on maximum entropy to model and map habitat suitability of LYD and coconut under current and future climate change scenarios using three Shared Socio-economic Pathways (SSPs) (1.26, 3.70 and 5.85) for three time periods (2041–2060, 2061–2080 and 2081–2100). Outside its current range, the model projected habitat suitability of LYD in Australia, Asia and South America. The distribution of coconut exceeded that of LYD. The area under the curve value of 0.98 was recorded for LYD, whereas 0.87 was obtained for the coconut model. The predictor variables that most influenced LYD projections were minimum temperature of the coldest month (88.4%) and precipitation of the warmest quarter (7.3%), whereas minimum temperature of the coldest month (85.9%) and temperature seasonality (8.7%) contributed most to the coconut model. Our study highlights potential climate suitable areas of LYD and coconut, and provides useful information for increasing quarantine measures and developing resistant or tolerant coconut varieties against the disease. Also, our study establishes an approach to model the climatic suitability for surveillance and monitoring of the disease, especially in areas that the disease has not been reported.
Sammendrag
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Sammendrag
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Sammendrag
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Forfattere
Gunnhild Jaastad Jorunn Børve Ingunn Øvsthus Tage Thorstensen Erik J. Joner Ivar PettersenSammendrag
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Forfattere
Therese With BergeSammendrag
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