Luke
Silmäile
Hakuohjeet

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

  • Vihanneslohkojen typpivarannoissa suurta vaihtelua
    Suojala-Ahlfors, Terhi; Salo, Tapio; Ruski, Jari
    Puutarha & kauppa : 7 (Kauppapuutarhaliitto, 2026)
  • Onko nyt taimialan nousun aika?
    Haikonen, Tuuli
    Puutarha & kauppa : 1 (Kauppapuutarhaliitto, 2026)
  • Genomic prediction of wild-derived powdery mildew resistance for strawberry (Fragaria × ananassa) pre-breeding
    Rehman, Attiq ur; Kärkkäinen, Hanni; Schulman, Alan H.; Jurado, Napoleon Vargas; Strandén, Ismo; Haikonen, Tuuli
    Heredity : 7 (Springer Nature, 2026)
    Genomic prediction (GP) has become an essential tool for accelerating modern plant breeding, particularly for complex traits. We evaluated different GP approaches for pre-breeding in thirteen biparental strawberry families derived from crosses between Fragaria virginiana and Fragaria chiloensis, focusing on resistance to powdery mildew (PM) in both leaves and fruits. Five-fold cross-validation using Genomic Best Linear Unbiased Prediction (GBLUP) for combined-year data yielded mean predictive abilities (PAs) of 0.56 and 0.36 for leaf and fruit resistance, respectively. Family-based GBLUP analyses showed higher PAs for closely related families, ranging from 0.10 to 0.89. Simulations identified key parameters: training sets comprising 40% of the population provided stable predictions for both traits, while ≈8300 SNPs were sufficient for predicting leaf resistance. However, PA for fruit resistance remained consistently low regardless of marker density. We then compared GBLUP with a marker-assisted model that iteratively incorporated the major resistance loci as fixed effects. This strategy increased PA by ≈10–30% for leaf resistance and ≈25–47% for fruit resistance across models. We further applied cross-environment forward prediction in independent greenhouse and separate field validation trials. The GBLUP model maintained substantial PA when trained on either the full population or a 40% subset, demonstrating robustness in predicting new genotypes across distinct environments. Our findings highlight the importance of taking trait genetic architecture into account to enhance PAs for PM resistance in strawberry. Together, these results provide evidence-based thresholds for training population size and marker density, offering a framework for efficient implementation of genomic selection in strawberry pre-breeding populations.
  • Haplotype-based validation of genomic regions for breeding of new Nordic apples
    Skytte af Sätra, Jonas; Røen, Dag; Haikonen, Tuuli; Rumpunen, Kimmo; Garkava-Gustavsson, Larisa; Hjeltnes, Stein Harald
    Hereditas : 1 (BioMed Central, 2026)
    When breeding apple cultivars for northern latitudes, early harvest and late flowering are desirable to manage the short growing season and ongoing climatic changes. Depending on the intended use, increased content of polyphenolic compound might be considered desirable (juice and cider) or undesirable (dessert). Thus, we phenotyped a total of 111, 189, and 88 apple genotypes for harvest date, flowering date, and peel concentration of procyanidin B2 (PRB2), respectively, across three Nordic locations in Sweden, Norway, and Finland. Using phased marker data from the 20 K apple Infinium® SNP array we performed haplotype-based validation of previously described quantitative trait loci (QTL) intervals and genomic regions on Linkage Group (LG) 3 (harvest date), LG 9 and 12 (flowering), and LG16 (PRB2). We assessed the correlation between the traits and historical climate adaptation and identified haplotypes associated with increasing and decreasing effects for the three traits. These results are valuable for Marker Assisted Parent Selection in the Nordic breeding programs, as they support designing crosses to meet the demands of current and future climatic conditions, and fruit quality towards breeding of new dessert cultivars, or cultivars for juice or cider production.
  • Community-level modelling of pelagic fish assemblages in the Baltic Sea reveals temporal shifts and effects of environmental drivers
    Mobilia, Valeria; Shubin, Mikhail; Goñi, Nicolas; Vanhatalo, Jarno
    Ices journal of marine science : 9 (Oxford University Press, 2026)
    The Baltic Sea is characterised by strong environmental gradients that shape its biodiversity and community structure. Despite a well-established body of work on individual fish species’ responses to these gradients, basin-wide, multi-species assessments of pelagic fish community patterns remain scarce. Using 17 years of standardised autumn data (2007–2023) from the Baltic International Acoustic Survey (BIAS)—a fishery-independent survey primarily targeting herring and sprat that consistently samples the broader pelagic fish assemblage—we fitted species distribution models for 45 fish taxa. Predicted occurrence probabilities were used to estimate species richness and to delineate regions of common profile (RCPs), characterising the spatial structure and temporal dynamics of the clupeid-associated pelagic fish community across most of the Baltic basin. Salinity emerged as the dominant environmental driver, influencing 31 species. Seven distinct RCPs broadly tracked the southwest–northeast salinity gradient, from the saline Kattegat to the brackish northern basins, while 10 species clusters reflected corresponding ecological affinities. Modelled species richness peaked in the Kattegat and increased over the study period, particularly in the Gulf of Finland, Åland Sea, and Bothnian Sea. Between 2007 and 2023, RCP spatial extents shifted: marine-associated communities retracted westward while brackish and low-salinity assemblages expanded northward and eastward, consistent with projected climate-driven salinity reductions. Our findings provide a spatially explicit, basin-wide quantification of how environmental gradients structure the pelagic fish community and document ongoing reorganisation that has direct implications for biodiversity assessment and ecosystem-based management in the Baltic Sea.