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.
2025
Authors
Seth Dorman Darrin Walenta Navneet Kaur Hannah Rivedal Nicole AndersonAbstract
Successful mitigation of agricultural insect pests depends on integrated pest management practices incorporating multiple techniques for effective population management below economically damaging levels. Pest surveillance remains the cornerstone of IPM programs, enabling appropriately timed management action. Phenological models using weather data are commonly used as decision support tools to predict the timing of ‘when’ economically important life stages are expected to occur. Furthermore, geostatistical models that consider landscape-level variation in environmental drivers of pest densities may inform ‘where’ outbreaks are expected to occur along spatial gradients of abiotic and biotic risk factors. Thus, predictors of pest populations can be leveraged to generate spatiotemporal risk assessments. Migratory and overwintering moth species in the family Noctuidae (order Lepidoptera) comprise a complex of serious pests that threaten the profitability of grasses grown for seed in the Willamette Valley, Oregon, USA, as well as seed production globally. Noctuid pests, including black cutworm, true armyworm, and winter cutworm, inflict crop damage by direct feeding on plant crowns and roots in the larval developmental stage. Management action with foliar insecticides is most effective when larvae are immature (early instar stage) due to insecticide susceptibility and pest behaviour. For noctuid pests (and other priority pests) in grass seed systems, real-time phenological models can provide field practitioners with information to better allocate pest monitoring and management resources to reduce input costs.
Authors
Jing Zhou Nicole Anderson Marshall Garrett Logan Snell Thomas ChastainAbstract
Seed moisture content (SMC) is the most reliable indicator of optimal harvest timing in many seed crops, including grass seed. Measuring SMC as grass seed crops approach maturity is recommended to determine optimal harvest timing. Currently, to measure SMC, seeds need to be stripped from heads by hand, weighed, dried until all the moisture has been lost, then re-weighed, and SMC manually calculated. Collecting SMC information in this manner is arduous, time consuming, and prone to error. Consequently, this procedure has resulted in inadequate SMC testing or failure to test in a timely fashion. In addition, SMC is an important factor in the storage of harvested seed, which typically needs to be stored under 12% SMC, to ensure high seed quality. The goal of this project is to develop a portable sensing device - The Grady Sensor - that allows for rapid and accurate SMC measurement of grass seed. The sensor employs near-infrared (NIR) spectroscopy principles that water molecules absorb specific NIR wavelengths. By analysing the light reflected from the seed surface, the sensor predicts SMC based on the intensity of the reflected light at moisture-sensitive wavelengths. Over two years, multiple sensor prototypes have been developed, and their performance has been validated through field tests in Oregon and New Zealand. Sensor readings were compared to laboratory oven gravimetric SMC values of samples collected from major grass seed species, including tall fescue, annual ryegrass, perennial ryegrass, orchardgrass, creeping red fescue, creeping bentgrass, Chewings fescue, and Kentucky bluegrass. The sensor readings demonstrated a significant linear relationship with the oven SMC. Mean absolute errors of sensor SMC predictions were within 1.2 to 4.6% across all grass species. The results indicate that the prototype is a reliable replacement for the traditional oven drying method.
Authors
Navneet Kaur Seth Dorman Christy Tanner Nicole AndersonAbstract
Tychius picirostris Fabricius (Coleoptera: Curculionidae), the clover seed weevil (CSW), is a major pest of white clover (Trifolium repens L.) seed crops in Oregon, USA, where larval feeding during seed development reduces yield and quality, causing substantial economic losses. For decades, CSW management has relied on bifenthrin (IRAC Group 3A), but since 2017 growers have reported reduced efficacy, prompting concern of resistance. Laboratory bioassays in 2022-2023 confirmed very high resistance to bifenthrin (RR50 = 178-726) and moderate resistance to malathion (Group 1B; RR50 = 7.8-32.8), underscoring the need for alternative chemistries and insecticide resistance management (IRM) guidelines. From 2022 to 2024, on-farm insecticide efficacy trials were conducted in commercial white clover seed fields in western Oregon. Early-season (pre-bloom or PB) application using contact insecticides (malathion, isocycloseram [Group 30], indoxacarb [Group 22]) targeted adults, either alone or in sequence with mid-season (full bloom or FB) application of systemic insecticides (chlorantraniliprole and cyantraniliprole [Group 28]) targeting larvae. Adult abundance was monitored with 20-sweep net samples, and larval densities were estimated from 30 inflorescences per plot extracted with Berlese funnels. Across sites and years, isocycloseram consistently suppressed adult populations, cyantraniliprole reduced larval densities, while indoxacarb showed variable performance. Although seed yields did not differ significantly among treatments, yet efficacy data supported product registration in Oregon and highlighted the value of chemical rotation plans for resistance management. Based on these findings, we recommend discontinuing bifenthrin and adopting an integrated resistance management (IRM) program that applies contact insecticides during spring adult migration when ≥2 weevils per sweep are detected and systemic insecticides during full bloom when ≥3 per 30 inflorescences are observed.
Authors
Nicole Anderson Hannah Rivedal Seth DormanAbstract
Epidemiology and management of aphid-transmitted yellow dwarf viruses (YDVs) have received international attention in small grains, but research regarding YDVs in grass seed production is limited. An integrated pest management program is needed to reduce the impact of YDVs in grass seed crops that are grown for more than one year. The objectives of this work were to: 1) survey commercial grass seed production fields to determine spatiotemporal virus composition, 2) evaluate the effects of nitrogen (N) fertiliser rate, and the timing and frequency of foliar insecticide applications on aphid abundance, YDV disease incidence, and seed yield in two perennial ryegrass cultivars, and 3) develop high-throughput phenotyping methods to screen cultivars for host plant resistance. To determine the incidence and diversity of YDVs, perennial ryegrass (n=20) and tall fescue (n=30) seed fields in Oregon were surveyed in 2021-2022. In 82% of fields, a Luteovirus-type YDV was detected, and 65% had detection of a Polerovirus-type YDV. In small-plot field trials conducted from 2021 to 2024, high N rates increased YDV incidence in perennial ryegrass. Seed yield was greatest for the less susceptible cultivar when protected with one insecticide treatment per season. A higher-than-recommended N rate did not increase seed yield across treatment combinations in first-year stands but did increase seed yields in second and third-year stands when YDV infection was >50%. Phenotyping methods were evaluated to assess potential host-plant resistance to YDVs using perennial ryegrass cultivars (n=27) with high- throughput automated video tracking for aphid behaviours that may confer resistance, and compared to traditional phenotyping methods. Several cultivars showed potential tolerance to YDVs. This research provides new knowledge of the spatial composition of aphid-transmitted YDVs, integrated pest management guidelines, and high-throughput methods for breeding programs to develop cultivars that are resistant to YDVs.
Authors
Willy Blaise Ineza Emelyne Clarisse Izere Roland Sonnenschein Collins B. Kukunda Fred Tumwebaze Richard Shumbusho Khamarrul Azahari RazakAbstract
This study provides a new insight into landslide advancement based on the state-of-art mapping technology, time-series imagery, and disaster informatics in Rwanda, where 40 % of its lands susceptible to landslides. This is the first nationally supported and locally evidenced use-case of the iMaster/DocuCam, a scalable system for landslide monitoring and detection in the African continent, originally developed for advanced industrial automation. The system continuously collects high-resolution images and weather data to monitor landslides and alert relevant authorities. We used “Quadtree” Computer Vision algorithms to automatically detect landslides by pre-processing images and measuring brownish pixels. Using statistical modelling, comparison with previous images is made and deviation in the number of brown pixels is determined. If deviation exceeds the threshold, a landslide is detected, and a warning is sent out. The results are also stored in the Open-Source SQL database and accessible via web-based Graphical User Interface. We also explored user requirements, needs and demands of stakeholders at national and local level for developing the people-centered early warning system in Rwanda, as promoted by the Sendai Framework. This study manifests the commitments of the Rwandan government to accelerate the localized disaster risk reduction action for societal resilience in the tropics.
Abstract
Abstract Red fescue (RF, Festuca rubra L.) is one of the most widely used turfgrass species in Europe. The subspecies Chewings fescue (CF) and slender creeping red fescue (SlCRF) are used on putting greens because they tolerate a mowing height of 4–5 mm. Previous research has shown CF to be more winter‐hardy than SlCRF, however, SlCRF has a greener winter color. Our objective was to find the optimal weight ratio of the two subspecies in seed blends for greens in contrasting climatic regions of the Nordic countries. Musica and Cezanne (reference varieties in SCANGREEN variety testing since 2012) were selected as representatives for CF and SlCRF, respectively. Seed blends including CF/SlCRF in weight ratios of 75/25, 50/50, and 25/75 were compared to pure CF and SlCRF at Sydsjælland GC, Denmark, NIBIO Landvik, Norway, NIBIO Apelsvoll, Norway, and Reykjavik GC, Iceland as an add‐on to SCANGREEN variety testing 2015–2018. Results showed the optimal blends to produce higher turfgrass quality and tiller density than monocultures of either subspecies at all sites except Apelsvoll where plots were killed during the first winter. The best‐performing CF/SlCRF blend was 50/50 at Sydsjælland and Landvik and 75/25 at Reykjavik. While this shows seed blends to have advantages compared with the pure subspecies, the study should be repeated with a focus on dollar spot ( Clarireedia spp.), which has become a major turfgrass disease in Southern Scandinavia since these trials were conducted.
Authors
Mette ThomsenAbstract
Angelica a hardy biennial herb, native to Norway, Sweden, Iceland, Greenland, the Faeroes, Finland, Russia, and eastern parts of continental Europe. Two subspecies are found in the Nordic wild flora A. archangelica ssp. archangelica (mountain subspecies) and A. archangelica ssp. litoralis (lowland subspecies). It is the mountain form that traditionally has been used both wild picked as well as cultivated. All parts of the angelica plant can be used and contain essential oil that gives it a strongly aromatic fragrance and a powerful flavor, and the plant also contains larger or smaller amounts of sugar. Angelica was a commodity in Norway even before the year 1000 and is the only vegetable, of Nordic origin. It has been used both as a vegetable, a spice and a medicinal plant. Interest as well as need for locally and regionally produced products is constantly increasing, Angelica, with its multifunctionality into more uses, could be an important plant for self-sufficiency and business creation in the arctic. In a cultivation trial in Norway looking into the fertilizer effect on yield and oil content in Angelica we found that 120 kg N/Ha gave a significantly higher yield of leaves, in one year old plants, than 40 or 0 kg N, 14-ton fresh weight/Ha compared to 11 ton and 5,6 ton respectively, 80 kg N/Ha gave 13t /Ha. The same was found in three-year-old plants. For root yield we did not see any significant effect of fertilizer treatment. The yield in essential oils was unaffected by fertilizer treatments but varied between plant parts, seeds 1,1%, roots 0,5% and leaves 0,2% oil. The dominating oils in the seeds were beta-phellandrene (69%) and alpha-pinene (13%), in roots and leaves alpha-pinene (43%, 20% resp.) and Sabinene (9%, 34% resp.) were the major compounds. In these trials only one variety of Angelica has been tested. More varieties should be studied and cultivation trials in more areas performed. Also considering that, several aromatic plants produce higher level of essential oils and chemical compounds when growing under long daylight hours. Angelica has a high potential for increased use and value creation through cultivation and processing in the Arctic region.
Authors
Mette Thomsen Liina Edesi Cecilie Thonar Marta Aranguren Margot Dulais Cagri Akyol Jingsi Zhang Astrid Solvåg NesseAbstract
Presentaion at SEA2LAND -NOVAFERT Final Conference 5 June 2025
Authors
Torbjørn Høitomt Liv Guri Velle Ulrika Jansson Asplund John-Arvid Grytnes Anders Gunnar Helle Line Johansen Bjørn Harald Larsen Ken Olaf StoraunetAbstract
Sammendrag av ekspertkomiteenes vurderinger. Norsk rødliste for naturtyper 2025.
Abstract
Carrageenophytes such as Eucheuma and Kappaphycus play a vital role in supporting coastal economies and supplying the global hydrocolloid industry, with Indonesia producing over 75% of the world’s supply. However, the unregulated use of chemical liquid fertilisers (CLF) in seaweed farming poses serious ecological and socio-economic threats. In Sikka Regency, Indonesia, CLF use contributed to a decade-long collapse in cultivation, worsened by destructive fishing practices. Although efforts to revive farming began in 2018, current monitoring data are limited and fragmented. Nutrient over-enrichment from fertilisers has been linked to harmful algal blooms, epiphyte overgrowth, and diseases like ice-ice. While countries like the Philippines have introduced standards such as the GAqP for seaweeds, Indonesia still lacks formal regulation on fertiliser use. Misleading scientific claims and social media endorsements further promote detrimental practices. This article highlights the urgent need for public awareness, science-based guidelines, and coordinated policy to safeguard sustainable seaweed aquaculture. Extension services, farmer cooperatives, and social media can raise awareness, but added resources are required for guidelines, stronger policies, and market incentives discouraging CLF use.