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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.

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Viimeksi tallennetut

  • 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.
  • Ruminosignatures associated with methane emissions and feed efficiency across geographies and cattle breeds
    Vourlaki, Ioanna-Theoni; Furman, Ori; Tapio, Ilma; Guan, Le Luo; Waters, Sinéad M; Kenny, David; Smith, Paul; Kirwan, Stuart F; Kelly, David; Evans, Ross; Quintanilla, Raquel; Piles, Miriam; Reverter, Antonio; Alexandre, Pâmela A; Li, Fuyong; Garnsworthy, Philip C; Bani, Paolo; Pope, Phillip B; Morgavi, Diego P; Mizrahi, Itzhak; Ramayo-Caldas, Yuliaxis
    Isme journal : 1 (Springer Nature, 2026)
    The cattle rumen microbiota represents a complex and dynamic ecosystem whose organization and relationship to host phenotypes are important for food security and environmental sustainability. We analyzed rumen microbiota profiles from 2496 cattle representing five breeds and production systems across five countries, identifying microbial co-abundance groups termed Ruminosignatures. We detected 14 distinct Ruminosignatures, including 2 observed across all populations dominated by Prevotella and UBA2810. Additional Ruminosignatures showed breed- and diet-specific patterns and collectively explained 96%–99% of variance in rumen microbial composition. Integrative cross-country analysis confirmed 10 out of 14 Ruminosignatures identified in cohort-specific analyses. Several Ruminosignatures were associated with methane emissions and feed efficiency traits and were partially under host genetic control, with heritability estimates ranging from 0.09 to 0.58. Structural equation modeling revealed consistent negative genetic and phenotypic correlations between the UBA2810-dominated Ruminosignature (RS_UBA2) and methane emissions across cohorts (rg = −0.40 to −0.65), with structural coefficients concordant in sign across all populations, supporting the expected direction of phenotypic response to selection on RS_UBA2. Meta-analysis confirmed positive associations of RS_UBA2 with average daily gain and negative associations with methane-related traits and feed conversion ratio. Functional genome-based predictions suggested RS_UBA2 may reduce methanogenesis through alternative hydrogen utilization pathways competing with methanogenic archaea. Production system type influenced both Ruminosignature occurrence and relationships with host phenotypes, emphasizing the relevance of context-specific strategies for microbiome modulation. Our findings highlight the potential of the Ruminosignatures framework for microbiome-informed breeding programs aimed at improving feed efficiency while reducing the environmental impact of cattle production.
  • Implications of dietary interventions (forage to concentrate ratio and forage type) in high or low methane-emitting dairy cows: Nutrient digestibility, rumen fermentation, and energy and nitrogen utilization
    Razzaghi, A.; Kairenius, Piia; Ahvenjärvi, S.; Stefański, Tomasz; Tapio, Ilma; Vilkki, Johanna; Bayat, Ali R.
    Animal feed science and technology (Elsevier, 2026)
    Following the measurement of methane (CH4) emissions from 100 Nordic Red lactating dairy cows, a subset of 10 cows was selected based on CH4 yield (g CH4/kg DM intake) being low (Low emitter = 22.9 ± 1.1; n = 5) or high (High emitter = 24.0 ± 0.9; n = 5) emitters to evaluate the relationship between CH4 yield phenotypes and experimental diets [forage to concentrate (FC) ratio and forage type] on enteric CH4 production, feed intake, lactation performance, ruminal digestion and passage kinetics, digestibility, and energy and nitrogen utilization. Ten lactating dairy cows fitted with rumen cannula were randomly allocated to experimental diets in a 3 times replicated 3 × 3 Latin square with an extra replicate that was randomly allocated to one of the diets in each 35-d experimental period, resulting in n = 10 for each diet. The experiment was split into 2 blocks (blocks A and B) of 4 or 6 cows over time (7-wk interval) to have all cows in the same lactation stage. Dietary treatments comprised grass silage-based diets containing high (70:30, HG) or low (30:70, LG) FC ratio or a red clover silage-based diet with FC ratio of 50:50 (RC) on DM basis. Intakes of DM and gross energy (GE) for cows fed LG were greater than HG and RC in both cow groups whereas NDF intake was lower for LG and RC than HG and no interaction was detected. Milk yield was 12% greater for LG and RC than HG, but ECM yield was the greatest for LG. The diets clearly affected all the rumen fermentation parameters while only propionate and butyrate proportions, and NH3-N concentration were affected by the interaction; Low-emitting cows had greater ruminal propionate and lower butyrate proportions than High-emitting cows on LG and High-emitters had the highest NH3-N concentration with RC. In addition, CH4 intensity (g CH4/kg milk) was greater for LG in Low- than High-emitting cows. Total-tract digestibility of DM, OM, and GE was greater for LG and HG relative to RC without any interaction effect and High-emitters had greater nutrient digestibility compared with Low-emitters. Diets but not cow group affected rumen contents and ruminal digestion and passage kinetics without any interaction whereas cows fed LG had shorter DM mean retention time than HG and RC. Feeding LG improved energy balance and affected other parameters of energy utilization whereas cow group and interaction effects were not significant. Overall, there were clear differences with respect to CH4 yield phenotype on nutrients digestion and energy or N utilization in Low- vs. High-emitters whereas dietary treatments affected lactation performance, digestion, rumen fermentation and kinetics, and energy utilization of dairy cows. These findings indicate that dairy cows with low CH4 yield may experience negative consequences on nutrient digestibility.
  • Growth rate overrides the benefit of extended growing season from boreal to semiarid conifers
    Cabon, Antoine; Fonti, Patrick; von Arx, Georg; Biondi, Franco; Camarero, J. Julio; Campelo, Filipe; Carrer, Marco; Čufar, Katarina; Cuny, Henri; Deslauriers, Annie; Fajstavr, Marek; Fonti, Marina; Frank, David; Giovannelli, Alessio; Gruber, Andreas; Gričar, Jožica; Gryc, Vladimír; Güney, Aylin; He, Minhui; Horáček, Petr; Huang, Jianguo; Hughes, Malcolm; Jiang, Yuan; Kahle, Hans-Peter; King, Gregory; Kirdyanov, Alexander V.; Larysch, Elena; Li, Xiaoxia; Liang, Eryuan; de Luis, Martín; Mäkinen, Harri; Martínez del Castillo, Edurne; Mikhailov, Sergei; Miller, Tobias Walter; Morino, Kiyomi; Nabais, Cristina; Oberhuber, Walter; Panayotov, Momchil; Peters, Richard L.; Prislan, Peter; Rossi, Sergio; Saderi, Seyedehmasoumeh; Saracino, Antonio; Saulino, Luigi; Silvestro, Roberto; Seifert, Thomas; Sergent, Anne Sophie; Stangler, Dominik Florian; Stojanović, Marko; Treml, Vaclav; Vavrčík, Hanuš; Vieira, Joana; Wang, Wenjin; Wieser, Gerhard; Yang, Bao; Zhang, Yiping; Ziaco, Emanuele; Rathgeber, Cyrille B. K.
    Science : 6816 (American Association for the Advancement of Science, 2026)