2023
Juliette Archambeau, Simone Bianchi, Joukje Buiteveld, Marta Callejas-Díaz, Stephen Cavers, Henrik Hallingbäck, Chedly Kastally, Marina de Miguel, Sven Mutke, Leopoldo Sánchez, Richard Whittet, Santiago C. González-Martínez & Catherine Bastien. Managing forest genetic resources for an uncertain future: findings and perspectives from an international conference. Tree Genetics & Genomes 19, 26 (2023). https://doi.org/10.1007/s11295-023-01603-z
Chen, ZQ., Klingberg, A., Hallingbäck, H.R, Wu, H.X. Preselection of QTL markers enhances accuracy of genomic selection in Norway spruce. BMC Genomics 24, 147 (2023). https://doi.org/10.1186/s12864-023-09250-3
Aline Fugeray-Scarbel, Xavier Irz, Stéphane Lemarié. Innovation in forest tree genetics: A comparative economic analysis in the European context. Forest Policy and Economics, Volume 155, October 2023, 103030. https://doi.org/10.1016/j.forpol.2023.103030
Claire Godineau, Victor Fririon, Nicolas Beudez, François de Coligny, François Courbet, Gauthier Ligot, Sylvie Oddou-Muratorio, Leopoldo Sanchez, François Lefèvre. A demo-genetic model shows how silviculture reduces natural density-dependent selection in tree populations. Evolutionary Applications, 00, 1–15 https://doi.org/10.1111/eva.13606
Mateusz Liziniewicz, Mats Berlin, Thomas Solvin, Henrik R. Hallingbäck, Matti Haapanen, Seppo Ruotsalainen, Arne Steffenrem. Development of a universal height response model for transfer of Norway spruce (Picea abies L. Karst) in Fennoscandia. Forest Ecology and Management, Volume 528 (2023), 120628. https://doi.org/10.1016/j.foreco.2022.120628
Dennis Roitsch, Silvia Abruscato, Marko Lovrić, Marcus Lindner, Christophe Orazio, Georg Winkel. Close-to-nature forestry and intensive forestry – Two response patterns of forestry professionals towards climate change adaptation. Forest Policy and Economics, Volume 154, 2023, 103035. https://doi.org/10.1016/j.forpol.2023.103035
Rosso, L.; Cantamessa, S.; Bergante, S.; Biselli, C.; Fricano, A.; Chiarabaglio, P.M.; Gennaro, M.; Nervo, G.; Secchi, F.; Carra, A. Responses to Drought Stress in Poplar: What Do We Know and What Can We Learn? Life 2023, 13, 533. https://doi.org/10.3390/life13020533
2022
Akli, A.; Lorenzo, Z.; Alía, R.; Rabhi, K.; Torres, E. Morphometric Analyses of Leaf Shapes in Four Sympatric Mediterranean Oaks and Hybrids in the Algerian Kabylie Forest. Forests 2022, 13, 508. https://doi.org/10.3390/f13040508
Ricardo Alía, Eduardo Notivol, José Climent, Felipe Pérez, Diana Barba, Juan Majada, José Manuel García del Barrio. Local seed sourcing for sustainable forestry. PLoS ONE 17(12): e0278866. https://doi.org/10.1371/journal.pone.0278866
Juliette Archambeau, Marta Benito Garzón, Frédéric Barraquand, Marina de Miguel, Christophe Plomion, and Santiago C. González-Martínez. Combining climatic and genomic data improves range-wide tree height growth prediction in a forest tree. The American Naturalist (2022). https://doi.org/10.1086/720619 (also available as preprint: https://doi.org/10.1101/2020.11.13.382515)
Chiara Biselli, Lorenzo Vietto, Laura Rosso, Luigi Cattivelli, Giuseppe Nervo and Agostino Fricano. Advanced Breeding for Biotic Stress Resistance in Poplar. Plants 2022, 11(15), 2032. https://doi.org/10.3390/plants11152032
Zhi-Qiang Chen, Yanjun Zan, Linghua Zhou, Bo Karlsson, Hannele Tuominen, Maria Rosario García-Gil and Harry X. Wu. Genetic architecture behind developmental and seasonal control of tree growth and wood properties in Norway spruce. Frontiers in Plant Science (2022). https://doi.org/10.3389/fpls.2022.927673
Amandine Cornille, Mathieu Tiret, Adriana Salcedo, Huirun R Huang, Marion Orsucci, Pascal Milesi, Dmytro Kryvokhyzha, Karl Holm, Xue-Jun Ge, John R Stinchcombe, Sylvain Glémin, Stephen I Wright, Martin Lascoux. The relative role of plasticity and demographic history in Capsella bursa-pastoris: a common garden experiment in Asia and Europe. AoB PLANTS, Volume 14, Issue 3, June 2022, plac011. https://doi.org/10.1093/aobpla/plac011
, , , , , , , , , , , & (2022). Polygenic adaptation and negative selection across traits, years and environments in a long-lived plant species (Pinus pinaster Ait., Pinaceae). Molecular Ecology, 31, 2089-2105. https://doi.org/10.1111/mec.16367 (also available as preprint: https://doi.org/10.1101/2020.03.02.974113)
Lili Li, Pascal Milesi, Mathieu Tiret, Jun Chen, Janek Sendrowski, John Baison, Zhiqiang Chen, Linghua Zhou, Bo Karlsson, Mats Berlin, Johan Westin, Rosario Garcia-Gil, Harry Wu, Martin Lascoux. Teasing apart the joint effect of demography and natural selection in the birth of a contact zone. New Phytologist (2022). https://doi.org/10.1111/nph.18480 (also available as preprint: https://doi.org/10.1101/2022.01.11.475794)
Maurizio Marchi, Sara Bergante, Duncan Ray, Roberto Barbetti, Gianni Facciotto, Pier Mario Chiarabaglio, Jari Hynynen, Giuseppe Nervo. Universal reaction norms for the sustainable cultivation of hybrid poplar clones under climate change in Italy. iForest – Biogeosciences and Forestry, Volume 15, Issue 1, Pages 47-55 (2022) https://doi.org/10.3832/ifor3989-015
Annika Perry, Witold Wachowiak, Joan Beaton, Glenn Iason, Joan Cottrell, Stephen Cavers. (2022). Identifying and testing marker–trait associations for growth and phenology in three pine species: Implications for genomic prediction. Evolutionary Applications, Volume 15, Issue 2, pages 330-348. https://doi.org/10.1111/eva.13345
Duncan Ray, Mats Berlin, Ricardo Alia, Leopoldo Sanchez-Rodriguez, Jari Hynynen, Santiago González-Martínez, Catherine Bastien. Transformative changes in tree breeding for resilient forest restoration. Front. For. Glob. Change (2022). https://doi.org/10.3389/ffgc.2022.1005761
Tore Skrøppa. Epigenetic memory effects in Norway spruce: are they present after the age of two years? Scandinavian Journal of Forest Research, Volume 37, 2022 – Issue 1. https://doi.org/10.1080/02827581.2022.2045349
Skrøppa, T., Steffenrem, A. (2022). Performance in early tests, short-term trials and field trials of selected families of Norway spruce from Svenneby, Seed orchard. NIBIO-report, 8(87). https://hdl.handle.net/11250/2996618
Sterck L. et al. (2022) Maritime Pine Genomics in Focus. In: De La Torre A.R. (eds) The Pine Genomes. Compendium of Plant Genomes. Springer, Cham. https://doi.org/10.1007/978-3-030-93390-6_5
Wade AR, Duruflé H, Sanchez L, Segura V. eQTLs are key players in the integration of genomic and transcriptomic data for phenotype prediction. BMC Genomics. 2022 Jun 28;23(1):476 https://doi.org/10.1186%2Fs12864-022-08690-7
2021
Chedly Kastally, Alina K. Niskanen, Annika Perry, Sonja T. Kujala, Komlan Avia, Sandra Cervantes, Matti Haapanen, Robert Kesälahti, Timo A. Kumpula, Tiina M. Mattila, Dario I. Ojeda, Jaakko S. Tyrmi, Witold Wachowiak, Stephen Cavers, Katri Kärkkäinen, Outi Savolainen, Tanja Pyhäjärvi. Taming the massive genome of Scots pine with PiSy50k, a new genotyping array for conifer research. The Plant Journal. (2021) https://doi.org/10.1101/2021.06.29.450162
Agathe Hurel, Marina de Miguel, Cyril Dutech, Marie-Laure Desprez-Loustau, Christophe Plomion, Isabel Rodríguez-Quilón, Agathe Cyrille, Thomas Guzman, Ricardo Alía, Santiago C. González-Martínez, Katharina B. Budde Genetic basis of growth, spring phenology, and susceptibility to biotic stressors in maritime pine. Evolutionary Applications. (2021) https://doi.org/10.1111/eva.13309
Hallingbäck Henrik R., Burton Vanessa, Vizcaíno-Palomar Natalia, Trotter Felix, Liziniewicz Mateusz, Marchi Maurizio, Berlin Mats, Ray Duncan, Benito Garzón Marta. (2021) Managing Uncertainty in Scots Pine Range-Wide Adaptation Under Climate Change. Frontiers in Ecology and Evolution, vol.9. https://doi.org/10.3389/fevo.2021.724051
Hayatgheibi H, Haapanen M, Lundströmer J, Berlin M, Kärkkäinen K, Helmersson A. The Impact of Drought Stress on the Height Growth of Young Norway Spruce Full-Sib and Half-Sib Clonal Trials in Sweden and Finland. Forests. 2021; 12(4):498. https://doi.org/10.3390/f12040498
Jose Alberto Ramírez-Valiente, Luis Santos del Blanco, Ricardo Alía, Juan J. Robledo-Arnuncio, Jose Climent. (2021) Adaptation of Mediterranean forest species to climate: Lessons from common garden experiments. Journal of Ecology, British Ecological Society. June 16, 2021. https://doi.org/10.1111/1365-2745.13730
Serrano-León, Hernán; Ahtikoski, Anssi; Sonesson, Johan; Fady, Bruno; Lindner, Marcus; Meredieu, Céline; Raffin, Annie; Perret, Sandrine; Perot, Thomas; Orazio, Christophe (2021). From genetic gain to economic gain: simulated growth and financial performance of genetically improved Pinus sylvestris and Pinus pinaster planted stands in France, Finland and Sweden. Forestry: An International Journal of Forest Research, cpab015. https://doi.org/10.1093/forestry/cpab015
Tatiana A. Shestakova, Sven Mutke, Javier Gordo, J. Julio Camarero, Ester Sin, Jesús Pemán, Jordi Voltas. (2021). Weather as main driver for masting and stem growth variation in stone pine supports compatible timber and nut co-production. Agricultural and Forest Meteorology, Volumes 298–299, 2021, 108287. https://doi.org/10.1016/j.agrformet.2020.108287
Skrøppa, T. (2021). Genotype by environment interactions for Norway spruce provenances and populations. NIBIO-report, 7(174). https://hdl.handle.net/11250/2828794
Skrøppa T. and Steffenrem A. (2021). Performance and Phenotypic Stability of Norway Spruce Provenances, Families, and Clones Growing under Diverse Climatic Conditions in Four Nordic Countries. Forests 2021, 12(2), 230. https://doi.org/10.3390/f12020230 (This article belongs to the Special Issue Genetic Resources and Adaptive Management of Conifers in a Changing World)
Tetiana Svystun, Jenny Lundströmer, Mats Berlin, Johan Westin, Anna Maria Jönsson (2021). Model analysis of temperature impact on the Norway spruce provenance specific bud burst and associated risk of frost damage. Forest Ecology and Management, Volume 493, 2021. https://doi.org/10.1016/j.foreco.2021.119252. (also available via https://www.sciencedirect.com/science/article/pii/S0378112721003406)
2020
Ahtikoski, A.; Ahtikoski, R.; Haapanen, M.; Hynynen, J.; Kärkkäinen, K. (2020). Economic Performance of Genetically Improved Reforestation Material in Joint Production of Timber and Carbon Sequestration: A Case Study from Finland. Forests, 11, 847. https://doi.org/10.3390/f11080847.
Anssi Ahtikoski, Jouni Karhu, Roope Ahtikoski, Matti Haapanen, Jari Hynynen. (2020) Financial assessment of alternative breeding goals using stand-level optimization and data envelopment analysis. Scandinavian Journal of Forest Research, vol 35, 2020, issue 5-6. https://doi.org/10.1080/02827581.2020.1795241
Benjamin Heuclin, Frédéric Mortier, Catherine Trottier, Marie Denis. Bayesian varying coefficient model with selection: An application to functional mapping. Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, 2020, https://dx.doi.org/10.1111/rssc.12447
J. Bartholomé, A. Mabiala, R. Burlett, D. Bert, J.‐C. Leplé, C. Plomion, J‐M. Gion. (2020). The pulse of the tree is under genetic control: eucalyptus as a case study. The Plant Journal. https://doi.org/10.1111/tpj.14734
Sara Bergante, Gianni Facciotto, Maurizio Marchi. (2020) Growth dynamics of ‘Imola’ poplar clone (Populus ×canadensis Mönch) under different cultivation inputs. Annals of Silvicultural Research, [S.l.], v. 44, n. 2, p. 71-79, Apr. 2020. http://dx.doi.org/10.12899/asr-1934.
Carolina Bernhardsson, Yanjun Zan, Zhiqiang Chen, Pär K. Ingvarsson, Harry X. Wu. (2020). Development of a highly efficient 50K SNP genotyping array for the large and complex genome of Norway spruce (Picea abies L. Karst) by whole genome re‐sequencing and its transferability to other spruce species. Molecular Ecology Resources. https://doi.org/10.1111/1755-0998.13292
Hayatgheibi, H., Berlin M., Haapanen M., Kärkkäinen K., and Persson T. (2020). Application of Transfer Effect Models for Predicting Growth and Survival of Genetically Selected Scots Pine Seed Sources in Sweden. Forests, 2020, 11, 1337. https://doi.org/10.3390/f11121337
Marchi, M., Castellanos-Acuña, D., Hamann, A., Wang, T., Ray, D., Menzel, A. (2020). ClimateEU, scale-free climate normals, historical time series, and future projections for Europe. Sci Data 7, 428. https://doi.org/10.1038/s41597-020-00763-0
Eduardo Notivol, Luis Santos-del-Blanco, Regina Chambel, Jose Climent and Ricardo Alía. (2020). Seed Sourcing Strategies Considering Climate Change Forecasts: A Practical Test in Scots Pine. Forests 2020, 11(11), 1222. https://doi.org/10.3390/f11111222
Tore Skrøppa and Arne Steffenrem. (2020). Variation among and within provenances of Norway spruce from Trøndelag and Nordland. NIBIO Rapport, vol 6, nr 10.
Natalia Vizcaíno-Palomar, Bruno Fady, Ricardo Alía, Annie Raffin, Sven Mutke, Marta Benito Garzón. (2020). The legacy of climate variability over the last century on populations’ phenotypic variation in tree height. Science of The Total Environment, Volume 749, 2020, 141454.
https://doi.org/10.1016/j.scitotenv.2020.141454 (also available via ResearchGate)
2019
Mats Berlin, Curt Almqvist, Matti Haapanen, Karl-Anders Högberg, Gunnar Jansson, Torgny Persson, Seppo Ruotsalainen. (2019). Common Scots pine deployment recommendations for Sweden and Finland. ARBETSRAPPORT 1017-2019, Skogforsk.
Zhi-Qiang Chen, John Baison, Jin Pan, Johan Westin, María Rosario García Gil, Harry X Wu (2019). Increased prediction ability in Norway spruce trials using a marker x environment interaction and non-additive genomic selection model. Journal of Heredity, Volume 110, Issue 7. Pages 830–843. https://doi.org/10.1093/jhered/esz061 (also available via ResearchGate)
López-Goldar, X., Villari, C., Bonello, P., Borg-Karlson, A.K., Grivet, D., Sampedro, L., Zas, R. (2019). Genetic variation in the constitutive defensive metabolome and its inducibility are geographically structured and largely determined by demographic processes in maritime pine. Journal of Ecology, DOI: 10.1111/1365-2745.13159 (preprint available here)
Marchi, M. (2019). Nonlinear versus linearised model on stand density model fitting and stand density index calculation: analysis of coefficients estimation via simulation. J. For. Res. doi: 10.1007/s11676-019-00967-0 (also available via ResearchGate)
Marchi, M., Sinjur, I., Bozzano, M and Westergren, M. (2019). Evaluating WorldClim Version 1 (1961–1990) as the Baseline for Sustainable Use of Forest and Environmental Resources in a Changing Climate. Sustainability, 11(11), 3043. https://doi.org/10.3390/su11113043 (also available via ResearchGate)
Matteo Pecchi, Maur{“type”:”block”,”srcClientIds”:[“507b4fd1-88fe-4f02-871b-78b14d5da8a7″],”srcRootClientId”:””}izio Marchi, Vanessa Burton, Francesca Giannetti, Marco Moriondo, Iacopo Bernetti, Marco Bindi, Gherardo Chirici. (2019). Species distribution modelling to support forest management. A literature review. Ecological Modelling 411, 08817. https://doi.org/10.1016/j.ecolmodel.2019.108817
Tanja Pyhäjärvi, Sonja T Kujala, Outi Savolainen. (2019). 275 years of forestry meets genomics in Pinus sylvestris. Evolutionary Applications. https://doi.org/10.1111/eva.12809 (also available via ResearchGate)
Skrøppa T., Steffenrem A. (2019). Genetic variation in phenology and growth among and within Norway spruce populations from two altitudinal transects in Mid-Norway. Silva Fennica vol. 53 no. 1 article id 10076. doi: 10.14214/sf.10076 (also available via ResearchGate)
Rafael Zas, María Silvana Poceiro, María Lores, Laura M. Rolke, Luis Sampedro. (2019) Phenotyping tree resistance to a bark chewing insect, the pine weevil Hylobius abietis. Annals of Applied Biology. https://doi.org/10.1111/aab.12533 (postprint available here )
2018
López-Goldar X., Villari C, Bonello P., Borg-Karlson AK., Grivet D., Zas R. and Sampedro L. (2018). Inducibility of Plant Secondary Metabolites in the Stem Predicts Genetic Variation in Resistance Against a Key Insect Herbivore in Maritime Pine. Front. Plant Sci. 9:1651. doi: 10.3389/fpls.2018.01651