Luke
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Jukuri

Tervetuloa käyttämään Jukuria, Luonnonvarakeskuksen (Luke) avointa julkaisuarkistoa. Jukurissa on tiedot Luken julkaisutuotannosta. Osa julkaisuista on vapaasti ladattavissa. Luken muodostaneiden tutkimuslaitosten aikaisemmasta julkaisutuotannosta osan tiedot ovat järjestelmässä jo nyt ja kattavuus paranee jatkuvasti.

Kokoelmat

Viimeksi tallennetut

  • Suomalaisen perunan historiasta ja perunan geenivaroista tulossa kansainvälinen katsaus
    Rokka, Veli-Matti
    Tuottava peruna : 2/2026 (Perunantuotannon tutkimus- ja kehityssäätiö, 2026)
  • On-station and on-farm participatory evaluation and selection of stable and high-yielding Bambara groundnut in Burkina Faso
    Kiebre, Zakaria; Kiebre, Mariam; Nanema, Romaric Kiswendsida; Tietiambou, Fanta Reine Sheirita; Traore, Karim Abdou; Banazaro, Philippe; Rokka, Veli-Matti; El Bilali, Hamid; Acasto, Filippo; Nanema, Jacques
    Frontiers in sustainable food systems (Frontiers Media S.A., 2026)
    Introduction: Low yield is often claimed as one of the most important challenges for Bambara groundnut production in West Africa. To address the lack of high-yielding genotypes of Bambara groundnut in Burkina Faso, participatory evaluation and selection through multilocation trials is an important step to be taken. The present study aims at the participatory evaluation and selection of high-yielding and stable Bambara groundnut landraces in Burkina Faso. Methods: A BGN collection was evaluated involving 274 growers through multilocation trials, including on-station and on-farm trials. Through semi-structured interviews, the most important trait for BGN selection and the growers’ most preferred genotypes were identified. The collection was subjected to genetic stability and adaptability analysis based on the most important trait identified by growers. Results: The study highlighted that crop yield is the most important selection trait for growers across the locations. In some locations, the on-farm agronomic performances (crop yield) were very similar to those observed on the research station, indicating that these locations could be favorable for BGN production. Conclusion: Genotypes SLEO1 and BIKZ1 were identified as the most promising ones in terms of yield performance, farmers’ preferences, and genetic stability across the environments. They can be disseminated to growers in Bambara groundnut production areas in Burkina Faso.
  • Reducing the idle times of forest machines : A scenario analysis with machine big data in Finland
    Pesonen, Jarkko; Rantala, Topi; Prinz, Robert; Ovaskainen, Heikki; Poikela, Asko; Kauranen, Pertti; Kärhä, Kalle
    Journal of cleaner production (Elsevier, 2026)
    The idling of forest machines reduces the energy and cost efficiencies of logging operations. This study aimed to estimate the idle times and fuel consumption during idling using automatically collected machine big data. Furthermore, a scenario approach was used to describe the influence of idle times on the volume and price of carbon dioxide (CO2) emissions. The dataset included monthly data from 2021 to 2024, covering 10 logging enterprises with a total of 28 harvesters and 23 forwarders. The results showed that the proportion of idle time of harvesters and forwarders regarding the total operating hours was 14.0% and 11.1%, respectively. Average fuel consumption during idling was 4.28 L h−1 for harvesters and 3.38 L h−1 for forwarders. Annual idle-related CO2 emissions for wood-harvesting machines in Finland were roughly estimated at around 11,000 metric tonnes (t) with costs equivalent to approximately €50 million. Reduction in idling by 25–50% could cut emissions by around 3000–5000 t CO2 and generate additional revenue roughly up to €55 million when the reduced idle engine hours were transferred into productive hours. This study concluded that understanding, as well as acknowledging, the influence of idling has a positive impact on energy and cost-efficiencies, while also ensuring more environmentally friendly logging operations. While more research is needed regarding the effects of idling in non-road machinery, this study provides a solid foundation for promoting low emissions non-road machinery operations.
  • The potato collection of Finland
    Rokka, Veli-Matti; Nukari, Anna; Bitz, Lidija; Kankaanpää, Santeri; Heinonen, Maarit; Al-Khayri, J.M. (toim.); Salem, K.F.M. (toim.); Jain, S.M. (toim.) (Springer, 2026)
  • Fennoscandian individual tree basal area increment models for major forest tree species
    Bianchi, Simone; Roberge, Cornelia; Schumacher, Johannes; Breidenbach, Johannes; Korhonen, Kari T.; Mäkinen, Harri
    Scandinavian journal of forest research : 6 (Taylor & Francis, 2026)
    Sustainable forest management needs growth models. Few studies have explored regional models in Fennoscandia despite similar conditions and challenges. We examined the feasibility of regional models for basal area increment of Norway spruce (Picea abies (L.) Karst.), Scots pine (Pinus sylvestris L.), and birch (Betula pendula Roth. and Betula pubescens Ehrh.). We compiled over 880,000 growth observations and estimated competition indices, climate variables, and site fertility classes by integrating data from recent National Forest Inventories (2004–2023) in Finland, Norway, and Sweden. Using Random Forest models, we identified the main growth drivers across countries (tree size, accumulated temperature sum, latitude, competition, and site fertility), with minor differences in their responses across countries. However, periodic NFI measurements could not capture the effect of additional climate variables. Using species-specific nonlinear mixed models, we demonstrated that predictive regional models can be fitted using those main drivers. Although we achieved only moderate predictive performance (Weighted Absolute Percentage Error of 45–71%, depending on the species and country), there were no residual geographical biases. The results confirm the potential of Fennoscandian growth models to address shared challenges. Future work should better account for site fertility, integrate process-based approaches for climate responses, and carry out independent validation.