Genetically improved forest reproductive materials are now widely accessible in many European countries due to decades of continuous breeding efforts. Tree breeding does not only contribute to higher-value end products but allows an increase in the rate of carbon capture and sequestration, helping to mitigate the effects of climate change. The usefulness of breeding programmes depends on (i) the relevance of the set of selected traits and their relative weights (growth, drought tolerance, phenology, etc.); (ii) the explicit management of targeted and “neutral” diversity; (iii) the genetic gain achieved; and (iv) the efficiency of transferring diversity and gain to the plantation. Several biological factors limit both operational breeding and mass reproduction. To fully realise the potential of tree breeding, the introduction of new technologies and concepts is pivotal for overcoming these constraints. We reviewed several European breeding programmes, examining their current status and factors that are likely to influence tree breeding in the coming decades. The synthesis was based on case studies developed for the European Union-funded B4EST project, which focused on eight economically important tree species with breeding histories and intensities ranging from low-input breeding (stone pine, Douglas-fir and ash) to more complex programmes (eucalyptus, maritime pine, Norway spruce, poplar, and Scots pine). Tree breeding for these species is managed in a variety of ways due to differences in species’ biology, breeding objectives, and economic value. Most programmes are managed by governmental institutes with full or partial public support because of the relatively late return on investment. Eucalyptus is the only tree species whose breeding is entirely sponsored and managed by a private company. Several new technologies have emerged for both phenotyping and genotyping. They have the potential to speed up breeding processes and make genetic evaluations more accurate, thereby reducing costs and increasing genetic gains per unit of time. In addition, genotyping has allowed the explicit control of genetic diversity in selected populations with great precision. The continuing advances in tree genomics are expected to revolutionise tree breeding by moving it towards genomic-based selection, a perspective that requires new types of skills that are not always available in the institutions hosting the programmes. We therefore recognise the importance of promoting coordination and collaboration between the many groups involved in breeding. Climate change is expected to bring in new pests and diseases and increase the frequency of extreme weather events such as late frosts and prolonged droughts. Such stresses will cause slow growth and mortality, reducing forest productivity and resilience. Most of these threats are difficult to predict, and the time-consuming nature of conventional breeding does not allow for an adequate and timely reaction. We anticipate that most breeding programmes will need to revise their selection criteria and objectives to place greater emphasis on adaptive performance, tolerance to multiple environmental stresses, stability in different environments, and conservation of genetic diversity. Testing breeding materials in a variety of environments, including potentially contrasting climates, will become increasingly important. Climate change may also force the incorporation of new genetic resources that provide new useful adaptations, which may involve the use of new, previously unexplored gene pools or hybridisation, with the enormous challenge of incorporating useful alleles without adding along an unfavourable genetic background. Decision-support tools to help landowners and foresters select the best-performing forest reproductive material in each specific environment could also help reduce the impact of climate change.
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Fugeray-Scarbel A, Bouffier L, Lemarié S, Sánchez L, Alia R, Biselli C, Buiteveld J, Carra A, Cattivelli L, Dowkiw A, Fontes L, Fricano A, Gion J-M, Grima-Pettenati J, Helmersson A, Lario F, Leal L, Mutke S, Nervo G, Persson T, Rosso L, Smulders MJM, Steffenrem A, Vietto L, Haapanen M (2024). Prospects for evolution in European tree breeding. iForest 17: 45-58. - doi: 10.3832/ifor4544-017
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Marco Borghetti
Paper history
Received: Dec 16, 2023
Accepted: Feb 27, 2024
First online: Mar 06, 2024
Publication Date: Apr 30, 2024
Publication Time: 0.27 months
© SISEF - The Italian Society of Silviculture and Forest Ecology 2024
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(1)
Alamu EO, Nuwamanya E, Cornet D, Meghar K, Adesokan M, Tran T, Belalcazar J, Desfontaines L, Davrieux F (2021)Near-infrared spectroscopy applications for high-throughput phenotyping for cassava and yam: a review. International Journal of Food Science and Technology 56: 1491-1501.
CrossRef |
Gscholar
(2)
Albrich K, Rammer W, Seidl R (2020)Climate change causes critical transitions and irreversible alterations of mountain forests. Global Change Biology 26: 4013-4027.
CrossRef |
Gscholar
(3)
Alia R, Mutke S, Lario F (2022)Maritime pine. Spain. In: “Breeding guidelines - transversal analysis”. B4EST Project, Deliverable D3.5, Appendix, pp. 39-46.
Online |
Gscholar
(4)
Almqvist C, Wennström U (2020)Förädlat skogsodlingsmaterial 2020-2064 [Improved forest regeneration material 2020-2064]. Arbetsrapport 1066, Skogforsk, Uppsala, Sweden. pp. 51.
Gscholar
(5)
Alves A, Simões R, Lousada J, Lima-Brito J, Rodrigues J (2020)Predicting the lignin H/G ratio of
Pinus sylvestris L. wood samples by PLS-R models based on near-infrared spectroscopy. Holzforschung 74 (7): 655-662.
CrossRef |
Gscholar
(6)
Archambeau J, Bianchi S, Buiteveld J, Callejas-Díaz M, Cavers S, Hallingbäck H, Kastally C, De Miguel M, Mutke S, Sánchez L, Whittet R, González-Martínez SC, Bastien C (2023)Managing forest genetic resources for an uncertain future: findings and perspectives from an international conference. Tree Genetics & Genomes 19 (3): 271.
CrossRef |
Gscholar
(7)
Attia Z, Domec JC, Oren R, Way D, Moshelion M (2015)Growth and physiological responses of isohydric and anisohydric poplars to drought. Journal of Experimental Botany 66: 4373-4381.
CrossRef |
Gscholar
(8)
Barabaschi D, Tondelli A, Desiderio F, Volante A, Vaccino P, Valè G, Cattivelli L (2016)Next generation breeding. Plant Science 242: 3-13.
CrossRef |
Gscholar
(9)
Bastien JC, Philippe G, Rousselle Y, Sánchez L, Chaumet M, Girard S (2021)Les variétés améliorées de douglas en France [Improved varieties of Douglas-fir in France]. Schweizerische Zeitschrift fur Forstwesen 172 (2): 76-83. [in French]
CrossRef |
Gscholar
(10)
Bastien JC, Sánchez L, Michaud D (2013)Douglas-fir (
Pseudotsuga menziesii (Mirb.) Franco). In: “Forest tree breeding in Europe. Current state-of-the-art and perspectives” (Pques LE ed). Springer, Dordrecht-Heidelberg-New York-London, pp. 325-372.
Gscholar
(11)
Belaber EC, Gauchat ME, Rodríguez GH, Borralho NM, Cappa EP (2019)Estimation of genetic parameters using spatial analysis of
Pinus elliottii Engelm. var.
elliottii second-generation progeny trials in Argentina. New Forests 50: 605-627.
CrossRef |
Gscholar
(12)
Bergh J, Nilsson U, Kjartansson B, Karlsson M (2010)Impact of climate change on the productivity of silver birch, Norway spruce and Scots pine stands in Sweden and economic implications for timber production. Ecological Bulletins 53: 185-195.
Online |
Gscholar
(13)
Berlin M, Almqvist C, Haapanen M, Högberg K, Jansson G, Persson T, Ruotsalainen S (2019)Common Scots pine deployment recommendations for Sweden and Finland. Skogforsk Arbetsrapport, Uppsala, Sweden, pp. 1-64.
Online |
Gscholar
(14)
Bernhardsson C, Zan Y, Chen Z, Ingvarsson P, Wu H (2020)Development of a highly efficient 50K single nucleotide polymorphism genotyping array for the large and complex genome of Norway spruce (
Picea abies L. Karst) by whole genome resequencing and its transferability to other spruce species. Molecular Ecology Resources 21 (3): 880-896.
CrossRef |
Gscholar
(15)
B4EST (2024)Adaptive Breeding for Better Forests. Web site.
Online |
Gscholar
(16)
Bian L, Zhang H, Ge Y, Cepl J, Stejskal J, El-Kassaby Y (2022)Closing the gap between phenotyping and genotyping: review of advanced, image-based phenotyping technologies in forestry. Annals of Forest Science 79: 22.
CrossRef |
Gscholar
(17)
Biselli C, Vietto L, Rosso L, Carra A, Cattivelli L, Nervo G, Fricano A (2022a)Poplar. In: “Breeding guidelines - transversal analysis”. B4EST Project, Deliverable D3.5, Appendix, pp. 90-107.
Online |
Gscholar
(18)
Biselli C, Vietto L, Rosso L, Cattivelli L, Nervo G, Fricano A (2022b)Advanced breeding for biotic stress resistance in poplar. Plants 11: 2032.
CrossRef |
Gscholar
(19)
Boivin T, Davi H (2016)Mission d’expertise sur la rarefaction des fructifications du pin maritime dans les Landes de Gascogne [Evaluation of seed production decline in the maritime pine stands of the Landes de Gascogne forest]. Ministère de l’Agriculture, de l’Agroalimentaire et de la Forêt - INRAE Science & Impacts, Avignon, France, pp. 25.
Online |
Gscholar
(20)
Bouffier L (2022)Maritime pine. In: “Breeding guidelines - transversal analysis”. B4EST Project, Deliverable D5.3, Appendix, pp. 47-57.
Online |
Gscholar
(21)
Bouffier L, Charlot C, Raffin A, Rozenberg P, Kremer A (2008)Can wood density be efficiently selected at early stage in maritime pine (
Pinus pinaster Ait.)? Annals of Forest Science 65 (1): 106.
CrossRef |
Gscholar
(22)
Bouffier L, Debille S, Alazard P, Raffin A, Pastuszka P, Trontin JF (2023)Pollen contamination and mating structure in maritime pine (
Pinus pinaster Ait.) clonal seed orchards revealed by SNP markers. Peer Community Journal 3: e68.
CrossRef |
Gscholar
(23)
Bouffier L, Klápšte J, Suontama M, Dungey HS, Mullin TJ (2019)Evaluation of forest tree breeding strategies based on partial pedigree reconstruction through simulations:
Pinus pinaster and
Eucalyptus nitens as case studies. Canadian Journal of Forest Research 49 (12): 1504-1515.
CrossRef |
Gscholar
(24)
Bouffier L, Raffin A, Dutkowski G (2016)Using pedigree and trait relationships to increase gain in the French maritime pine breeding program. In: IUFRO Conference “Forest Genetics for Productivity”. Rotorua (New-Zealand) 14-18 March 2016, poster, p. 1.
Online |
Gscholar
(25)
Bresolin T, Dórea JRR (2020)Infrared spectrometry as a high-throughput phenotyping technology to predict complex traits in livestock systems. Frontiers in Genetics 11: 700.
CrossRef |
Gscholar
(26)
Cappa EP, Cantet RJC (2007)Bayesian estimation of a surface to account for a spatial trend using penalized splines in an individual-tree mixed model. Canadian Journal of Forest Research 37: 2677-2688.
CrossRef |
Gscholar
(27)
Cappa EP, El-Kassaby YA, Muñoz F, Garcia MN, Villalba PV, Klápšte J, Marcucci Poltri SN (2017)Improving accuracy of breeding values by incorporating genomic information in spatial-competition mixed models. Molecular Breeding 37 (10): 743.
CrossRef |
Gscholar
(28)
Cappa EP, Muñoz F, Sánchez L (2019)Performance of alternative spatial models in empirical Douglas-fir and simulated datasets. Annals of Forest Science 76 (2): 716.
CrossRef |
Gscholar
(29)
Carletti G, Carra A, Allegro G, Vietto L, Desiderio F, Bagnaresi P, Gianinetti A, Cattivelli L, Valè G, Nervo G (2016)QTLs for woolly poplar aphid (Phloeomyzus passerinii L.) resistance detected in an inter-specific
Populus deltoides x P. nigra mapping population. PLoS One 11: e0152569.
CrossRef |
Gscholar
(30)
Chancerel E, Lamy J-B, Lesur I, Noirot C, Klopp C, Ehrenmann F, Boury C, Le Provost G, Label P, Lalanne C, Léger V, Salin F, Gion J-M, Plomion C (2013)High-density linkage mapping in a pine tree reveals a genomic region associated with inbreeding depression and provides clues to the extent and distribution of meiotic recombination. BMC Biology 11 (1): 40.
CrossRef |
Gscholar
(31)
Chaudhary R, Rönneburg T, Aslund S, Lundén K, Durling MB, Ihrmark K, Menkis A, Stener L-G, Elfstrand M, Cleary M, Stenlid J (2020)Marker-trait associations for tolerance to ash dieback in common ash (
Fraxinus excelsior L.). Forests 11: 1083.
CrossRef |
Gscholar
(32)
Chen Z-Q, Baison J, Pan J, Westin J, Gil MRG, Wu HX (2019)Increased prediction ability in Norway spruce trials using a marker x environment interaction and non-additive genomic selection model. Journal of Heredity 110 (7): 830-843.
CrossRef |
Gscholar
(33)
Chen Z-Q, Lunden K, Karlsson B, Vos I, Olson A, Lundqvist SO, Stenlid J, Wu HX, Gil MRG, Elfstrand M (2018)Early selection for resistance to
Heterobasidion parviporum in Norway spruce is not likely to adversely affect growth and wood quality traits in late-age performance. European Journal of Forest Research 137 (4): 517-525.
CrossRef |
Gscholar
(34)
Chen S, Zhang Y, Zhao Y, Xu W, Li Y, Xie J, Zhang D (2020)Key genes and genetic interactions of plant-pathogen functional modules in poplar infected by
Marsonnina brunnea. IS-MPMI 33 (8): 1080-1090.
CrossRef |
Gscholar
(35)
Chen Z-Q, Klingberg A, Hallingbäck HR, Wu HX (2023)Preselection of QTL markers enhances accuracy of genomic selection in Norway spruce. BMC Genomics 24: 147.
CrossRef |
Gscholar
(36)
Danell O (1993)Breeding programmes in Sweden. In: Proceedings of the “Nordic Group of Tree Breeding” (Lee SJ ed), supplementary volume. Forestry Commission, Edinburgh, Scotland, UK, pp. 5.
Gscholar
(37)
De la Mata R, Zas R (2023)Plasticity in growth is genetically variable and highly conserved across spatial scales in a Mediterranean pine. New Phytologist 240 (2): 542-554.
CrossRef |
Gscholar
(38)
De Oliveira Castro CA, Dos Santos GA, Takahashi EK, Pires Nunes AC, Souza GA, De Resende MDV (2021)Accelerating Eucalyptus breeding strategies through top grafting applied to young seedlings. Industrial Crops and Products 171: 113906.
CrossRef |
Gscholar
(39)
Dormling I, Johnsen O (1992)Effects of the parental environment on full-sib families of
Pinus sylvestris. Canadian Journal of Forest Research 22 (1): 88-100.
CrossRef |
Gscholar
(40)
Duplessis S, Cuomo CA, Lin YC, Aerts A, Tisserant E, Veneault-Fourrey C, Joly DL, Hacquard S, Amselem J, Cantarel BL, Chiu R, Coutinho PM, Feau N, Field M, Frey P, Gelhaye E, Goldberg J, Grabherr MG, Kodira CD, Kohler A, Kues U, Lindquist EA, Lucas SM, Mago R, Mauceli E, Morin E, Murat C, Pangilinan JL, Park R, Pearson M, Quesneville H, Rouhier N, Sakthikumar S, Salamov AA, Schmutz J, Selles B, Shapiro H, Tanguay P, Tuskan GA, Henrissat B, Van De Peer Y, Rouze P, Ellis JG, Dodds PN, Schein JE, Zhong S, Hamelin RC, Grigoriev IV, Szabo LJ, Martin F (2011)Obligate biotrophy features unraveled by the genomic analysis of rust fungi. Proceedings of the National Academy of Sciences USA 108 (22): 9166-9171.
CrossRef |
Gscholar
(41)
Egertsdotter U (2019)Plant physiological and genetical aspects of the somatic embryogenesis process in conifers. Scandinavian Journal of Forest Research 34 (5): 360-369.
CrossRef |
Gscholar
(42)
El-Kassaby YA, Klapste J, Guy RD (2012)Breeding without breeding: selection using the genomic best linear unbiased predictor method (GBLUP). New Forests 43 (5-6): 631-637.
CrossRef |
Gscholar
(43)
El-Kassaby YA, Lstiburek M (2009)Breeding without breeding. Genetics Research 91 (2): 111-120.
CrossRef |
Gscholar
(44)
Eriksson U, Jansson G, Almqvist C (1998)Seed and pollen production after stem injections of gibberellin A(4/7) in field-grown seed orchards of Pinus sylvestris. Canadian Journal of Forest Research 28 (3): 340-346.
CrossRef |
Gscholar
(45)
European Commission (2023)Proposal for a regulation of the European Parliament and of the Council on plants obtained by certain new genomic techniques and their food and feed, and amending Regulation (EU) 2017/625. COM/2023/411 final.
Online |
Gscholar
(46)
Faivre-Rampant P, Zaina G, Jorge V, Giacomello S, Segura V, Scalabrin S, Guérin V, De Paoli E, Aluome C, Viger M, Cattonaro F, Payne A, PaulStephenRaj P, Le Paslier MC, Berard A, Allwright MR, Villar M, Taylor G, Bastien C, Morgante M (2016)New resources for genetic studies in
Populus nigra: genome-wide SNP discovery and development of a 12k Infinium array. Molecular Ecology Resources 16 (4): 1023-1036.
CrossRef |
Gscholar
(47)
FAO (2022)Global forest resources assessment 2020: main report. FAO, Rome, Italy, pp. 184.
CrossRef |
Gscholar
(48)
Fernandes P, Guiomar N, Rossa C (2019)Analysing eucalypt expansion in Portugal as a fire-regime modifier. Science of The Total Environment 666 (20): 79-88.
CrossRef |
Gscholar
(49)
Fugeray-Scarbel A, Irz X, Lemarié S (2023)Innovation in forest tree genetics: a comparative economic analysis in the European context. Forest Policy and Economics 155: 103030.
CrossRef |
Gscholar
(50)
Fundova I, Funda T, Wu H (2018)Non-destructive wood density assessment of Scots pine (
Pinus sylvestris L.) using Resistograph and Pilodyn. PLoS One 13 (9): e0204518.
CrossRef |
Gscholar
(51)
Gea-Izquierdo G, Férriz M, García-Garrido S, Aguín O, Elvira-Recuenco M, Hernandez-Escribano L, Martin-Benito D, Raposo T (2019)Synergistic abiotic and biotic stressors explain widespread decline of
Pinus pinaster in a mixed forest. Science of the Total Environment 685: 963-975.
CrossRef |
Gscholar
(52)
Gennaro M, Giorcelli A (2019)The biotic adversities of poplar in Italy: a reasoned analysis of factors determining the current state and future perspectives. Annals of Silvicultural Research 43: 41-51.
CrossRef |
Gscholar
(53)
Geraldes A, DiFazio SP, Slavov GT, Ranjan P, Muchero W, Hannemann J, Gunter LE, Wymore AM, Grassa C, Farzaneh N, Porth I, McKown AD, Skyba O, Li E, Fujita M, Klápšte J, Martin J, Schackwitz W, Pennacchio C, Rokhsar D, Friedmann MC, Wasteneys GO, Guy RD, El-Kassaby YA, Mansfield SD, Cronk QCB, Ehlting J, Douglas CJ, Tuskan GA (2013)A 34K SNP genotyping array for Populus trichocarpa: design, application to the study of natural populations and transferability to other
Populus species. Molecular Ecology Resources 13 (2): 306-323.
CrossRef |
Gscholar
(54)
Goralogia GS, Redick TP, Strauss SH (2021)Gene editing in tree and clonal crops: progress and challenges. In Vitro Cellular and Developmental Biology-Plant 57: 683-699.
CrossRef |
Gscholar
(55)
Gougherty AV, Davies TJ (2021)Towards a phylogenetic ecology of plant pests and pathogens. Philosophical Transactions of the Royal Society B: Biological Sciences 376 (1837): 20200359.
CrossRef |
Gscholar
(56)
Grattapaglia D (2022)Twelve years into genomic selection in forest trees: climbing the slope of enlightenment of marker assisted tree breeding. Forests 13 (10): 1554.
CrossRef |
Gscholar
(57)
Guilbaud R, Biselli C, Buiteveld J, Cattivelli L, Copini P, Dowkiw A, Esselink D, Fricano A, Guerin V, Jirge V, Kelly LJ, Kodde L, Metheringham CL, Pinosio S, Rogier O, Segura Spanu V I, Buggs RJA, González-Martínez SC, Nervo G, Smulders MJM, Sánchez Rodríguez L, Vendramin GG, Fauvre Rampant P (2020)Development of a new tool (4TREE) for adapted genome selection in European tree species. In: Proceedings of the International Conference “Genetics to the Rescue: Managing Forests Sustainably in a Changing World”. Avignon (France) 27-31 Jan 2020.
Online |
Gscholar
(58)
Haapanen M, Persson T (2022)Scots pine. In: “Breeding guidelines - transversal analysis”. B4EST Project, Deliverable D3.5, Appendix, pp. 108-119.
Online |
Gscholar
(59)
Hallingback HR, Sánchez L, Wu HX (2014)Single
versus subdivided population strategies in breeding against an adverse genetic correlation. Tree Genetics and Genomes 10: 605-617.
CrossRef |
Gscholar
(60)
Hansen O, MacKinney L (2010)Establishment of a quasi-field trial in
Abies nordmanniana - Test of a new approach to forest tree breeding. Tree Genetics and Genomes 6: 345-355.
CrossRef |
Gscholar
(61)
Harbard JL, Griffin AR, Espejo J (1999)Mass controlled pollination of
Eucalyptus globulus: a practical reality. Canadian Journal of Forest Research 29 (10): 1457-1463.
CrossRef |
Gscholar
(62)
Haristoy G, Bouffier L, Fontes L, Leal L, Paiva J, Pina J-P, Gion J-M (2023)Genomic prediction in a multi-generation
Eucalyptus globulus breeding population. Tree Genetics and Genomes 19, 8.
CrossRef |
Gscholar
(63)
Hayatgheibi H, Haapanen M, Lundstromer J, Berlin M, Kärkkäinen K, Helmersson A (2021)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 12 (4): 498.
CrossRef |
Gscholar
(64)
Hayes BJ, Visscher M, Goddard E (2009)Increased accuracy of artificial selection by using the realized relationship matrix. Genetics Research 91 (1): 47-60.
CrossRef |
Gscholar
(65)
Hentschel R, Rosner S, Kayler ZE, Andreassen K, Borja I, Solberg S, Tveito OE, Priesack E, Gessler A (2014)Norway spruce physiological and anatomical predisposition to dieback. Forest Ecology and Management 322: 27-36.
CrossRef |
Gscholar
(66)
Heuchel A, Hall D, Zhao W, Gao J, Wennström U, Wang X (2022)Genetic diversity and background pollen contamination in Norway spruce and Scots pine seed orchard crops. Forestry Research 2: 8.
CrossRef |
Gscholar
(67)
Howe GT, Jayawickrama K, Kolpak SE, Kling J, Trappe M, Hipkins V, Ye T, Guida S, Cronn R, Cushman S, McEvoy S (2020)An axiom SNP genotyping array for Douglas-fir. BMC Genomics 21: 9.
CrossRef |
Gscholar
(68)
Hurmekoski E, Jonsson R, Korhonen J, Jänis J, Mäkinen M, Leskinen P, Hetemäki L (2018)Diversification of the forest industries: role of new wood-based products. Canadian Journal of Forest Research 48 (12): 1417-1432.
CrossRef |
Gscholar
(69)
Isabel N, Holliday JA, Aitken SN (2019)Forest genomics: advancing climate adaptation, forest health, productivity, and conservation. Evolutionary Applications 13: 3-10.
CrossRef |
Gscholar
(70)
Isik F, Li B (2003)Rapid assessment of wood density of live trees using IML Resi for selection in tree improvement programs. Canadian Journal of Forest Research 33: 2426-2435.
CrossRef |
Gscholar
(71)
Isik F (2014)Genomic selection in forest tree breeding: the concept and an outlook to the future. New Forests 45 (3): 379-401.
CrossRef |
Gscholar
(72)
Isik F, Bartholomé J, Farjat A, Chancerel E, Raffin A, Sanchez L, Plamion C, Bouffier L (2016)Genomic selection in maritime pine. Plant Science 242: 108-119.
CrossRef |
Gscholar
(73)
Jacquin P, Mothe F, Longuetaud F, Billard A, Kerfriden B, Leban JM (2019)CarDen: a software for fast measurement of wood density on increment cores by CT scanning. Computers and Electronics in Agriculture 156 (5): 606-617.
CrossRef |
Gscholar
(74)
Jactel H, Koricheva J, Castagneyrol B (2019)Responses of forest insect pests to climate change: not so simple. Current Opinion in Insect Science 35: 103-108.
CrossRef |
Gscholar
(75)
Jandl R, Spathelf P, Bolte A, Prescott C (2019)Forest adaptation to climate change is non-management an option? Annals of Forest Science 76: 48.
CrossRef |
Gscholar
(76)
Jansson G, Hansen J, Haapanen M, Kvaalen H, Steffenrem A (2017)The genetic and economic gains from forest tree breeding programmes in Scandinavia and Finland, Scandinavian Journal of Forest Research 32 (4): 273-286.
CrossRef |
Gscholar
(77)
Johnsen O, Haug G, Grönstad BS, Rognstad AT (1994)Effects of heat-treatment, timing of heat-treatment, and gibberellin a(4/7) on flowering in potted
Picea abies grafts. Scandinavian Journal of Forest Research 9 (4): 333-340.
CrossRef |
Gscholar
(78)
Johnsen O, Fossdal CG, Nagy N, Mølmann J, Daehlen OG, Skrøppa T (2005)Climatic adaptation in
Picea abies progenies is affected by the temperature during zygotic embryogenesis and seed maturation. Plant, Cell & Environment 28 (9): 1090-1102.
CrossRef |
Gscholar
(79)
Johnsen O, Kvaalen H, Yakovlev IA, Daehlen OG, Fossdal CG, Skrøppa T (2009)An epigenetic memory from time of embryo development affects climatic adaptation in Norway spruce. In: “Plant Cold Hardiness: From the Laboratory To the Field” (Gusta L, Wisniewski M, Tanino K eds). CAB International, Cambridge, UK, pp. 99-107.
Gscholar
(80)
Kaitera J, Kauppila T, Hantula J (2021)Assessment of the potential of Norway-spruce-seed-orchard associated plants to serve as alternate hosts of
Thekopsora areolata. Silva Fennica 55 (2): 10446.
CrossRef |
Gscholar
(81)
Karlsson B, Högberg KA (1998)Genotypic parameters and clone x site interaction in clone tests of Norway spruce (
Picea abies (L.) Karst.). Forest Genetics 5 (1): 21-30.
Gscholar
(82)
Karlsson B, Rosvall O (1993)Breeding Programmes in Sweden - Norway spruce. In: Proceedings of the “Nordic Group of Tree Breeding” (Lee SJ ed). Forestry Commission, Edinburgh, Scotland, UK, pp. 184-210.
Gscholar
(83)
Karlsson B, Wellendorf H, Roulund H, Werner M (2001)Genotype × trial interaction and stability across sites in 11 combined provenance and clone experiments with
Picea abies in Denmark and Sweden. Canadian Journal of Forest Research 31 (10): 1826-1836.
CrossRef |
Gscholar
(84)
Kastally C, Niskanen A, Perry A, Kujala S, Avia K, Cervantes S, Haapanen M, Kesälahti R, Kumpula TA, Mattila TM, Ojeda DI, Tyrmi JS, Wachowiak W, Cavers S, Kärkkäinen J, Savolainen O, Pyhäjärvi T (2021)Taming the massive genome of Scots pine with PiSy50k, a new genotyping array for conifer research. The Plant Journal 109 (5): 1337-1350.
CrossRef |
Gscholar
(85)
Klápšte J, Ismael A, Paget M, Graham N, Stovold G, Dungey H, Slavov G (2022)Genomics-enabled management of genetic resources in radiata pine. Forests 13: 282.
CrossRef |
Gscholar
(86)
Klocko AL, Lu H, Magnuson A, Brunner AM, Ma C, Strauss SH (2018)Phenotypic expression and stability in a large-scale field study of genetically engineered poplars containing sexual containment transgenes. Frontiers in Bioengineering and Biotechnology 6: 653.
CrossRef |
Gscholar
(87)
Kvaalen H, Johnsen O (2008)Timing of bud set in
Picea abies is regulated by a memory of temperature during zygotic and somatic embryogenesis. New Phytologist 177 (1): 49-59.
CrossRef |
Gscholar
(88)
Lambeth C, Lee B-C, O’Malley D, Wheeler N (2001)Polymix breeding with parental analysis of progeny: an alternative to full-sib breeding and testing. Theoretical and Applied Genetics 103: 930-943.
CrossRef |
Gscholar
(89)
Leal L, Fontes L, Grima-Pettenati J, Gion J-M (2022)Eucalyptus. In: “Breeding Guidelines - Transversal Analysis”. B4EST Project, Deliverable 3.5, Appendix, pp. 29-38.
Online |
Gscholar
(90)
Legarra A, Christensen OF, Aguilar I, Misztal I (2014)Single Step, a general approach for genomic selection. Livestock Science 166: 54-65.
CrossRef |
Gscholar
(91)
Lelu-Walter M-A, Thompson D, Harvengt L, Sanchez L, Toribio M, Pques L (2013)Somatic embryogenesis in forestry with a focus on Europe: state-of-the-art, benefits, challenges and future direction. Tree Genetics and Genomes 9: 883-899.
CrossRef |
Gscholar
(92)
Lstiburek M, Hodge GR, Lachout P (2015)Uncovering genetic information from commercial forest plantations making up for lost time using “Breeding without Breeding”. Tree Genetics and Genomes 11 (3): 55.
CrossRef |
Gscholar
(93)
Lstiburek M, Bitner V, Hodge GR, Picek J, Mackay TFC (2017a)Estimating realized heritability in panmictic populations. Genetics 208 (1): 89-95.
CrossRef |
Gscholar
(94)
Lstiburek M, El-Kassaby Y, Skrøppa T, Hodge GR, Snsteb JH, Steffenrem A (2017b)Dynamic gene-resource landscape management of Norway spruce: combining utilization and conservation. Frontiers in Plant Science 8: 1810.
CrossRef |
Gscholar
(95)
Lstiburek M, Schueler S, El-Kassaby YA, Hodge GR, Stejskal J, Korecky J, Konrad H, Geburek T (2020)In situ genetic evaluation of European larch across climatic regions using marker-based pedigree reconstruction. Frontiers in Genetics 11: 1645.
CrossRef |
Gscholar
(96)
Lu H, Klocko AL, Brunner AM, Ma C, Magnuson Howe A C, Xinmin A, Strauss SH (2019)RNA interference suppression of
AGAMOUS and
SEEDSTICK alters floral organ identity and impairs floral organ determinacy, ovule differentiation, and seed-hair development in
Populus. New Phytologist 222 (2): 923-937.
CrossRef |
Gscholar
(97)
Ludovisi RF, Tauro R, Salvati R, Khoury G, Scarascia-Mugnozza G, Harfouche A (2017)UAV-based thermal imaging for high-throughput field phenotyping of black poplar response to drought. Frontiers in Plant Science 8: 1681.
CrossRef |
Gscholar
(98)
Marchal A, Schlichting CD, Gobin R, Balandier P, Millier F, Munoz F, Pques LE, Sánchez L (2019)Deciphering hybrid larch reaction norms using random regression. G3 Genes|Genomes|Genetics 9 (1): 21-32.
CrossRef |
Gscholar
(99)
Meuwissen THE, Hayes BJ, Goddard ME (2001)Prediction of total genetic value using genome-wide dense marker maps. Genetics 157: 1819-1829.
CrossRef |
Gscholar
(100)
Min T, Hwarari D, Li D, Movahedi A, Yang L (2022)CRISPR-based genome editing and its applications in woody plants. International Journal of Molecular Sciences 23 (17): 10175.
CrossRef |
Gscholar
(101)
Monclus R, Dreyer E, Villar M, Delmotte FM, Delay D, Petit J-M, Barbaroux C, Le Thiec D, Bréchet C, Brignolas F (2006)Impact of drought on productivity and water use efficiency in 29 genotypes of
Populus deltoides x
Populus nigra. New Phytologist 169: 765-777.
CrossRef |
Gscholar
(102)
Mullin T (2017a)OPSEL 2.0: a computer programme for optimal selection in tree breeding. Skogforsk Arbetsrapport 954: 1-24.
Gscholar
(103)
Mullin T (2017b)XDesign 1.0: a tool for generation of complex mating designs with optimal contributions. Skogforsk Arbetsrapport 956: 1-24.
Gscholar
(104)
Muñoz F, Marçais B, Dufour J, Dowkiw A (2016)Rising out of the ashes: additive genetic variation for crown and collar resistance to
Hymenoscyphus fraxineus in
Fraxinus excelsior. Phytopathology 106: 1535-1543.
CrossRef |
Gscholar
(105)
Muñoz F (2024)breedR - Statistical methods for forest genetic resources analysts. User manual.
Online |
Gscholar
(106)
Muona O, Harju A (1989)Effective population sizes, genetic variability, and mating system in natural stands and seed orchards of
Pinus sylvestris. Silvae Genetica 38 (5-6): 221-228.
Gscholar
(107)
Mutke S, Iglesias S, Gil L (2007)Selección de clones de pino piñonero sobresalientes en la producción de piña [Selection of Mediterranean stone pine clones for cone production]. Investigación Agraria: Sistemas y Recursos Forestales 16 (1): 39-51. [in Spanish]
CrossRef |
Gscholar
(108)
Mutke S, Fontes L, Alia R (2022)Mediterranean stone pine. In: “Breeding Guidelines - Transversal Analysis”. B4EST Project, Deliverable 3.5, Appendix, pp. 58-69.
Online |
Gscholar
(109)
Navarro-Cerrillo RM, Sánchez-Salguero R, Camarero JJ (2019)Is thinning an alternative when trees could die in response to drought? The case of planted
Pinus nigra and
P. sylvestris stands in southern Spain. Forest Ecology and Management 433: 313-324.
CrossRef |
Gscholar
(110)
Olsson S, Dauphin B, Jorge V, Grivet D, Farsakoglou AM, Climent J, Alizoti P, Faivre-Rampant P, Pinosio S, Milesi P, Scalabrin S, Bagnoli F, Scotti I, Vendramin GG, Gonzalez-Martinez SC, Fady B, Aravanopoulus F, Bastien C, Alia R (2023)Diversity and enrichment of breeding material for resilience in European forests. Forest Ecology and Management 530.
CrossRef |
Gscholar
(111)
Pan Y, Birdsey R, Fang J, Houghton R, Kauppi P, Kurz WA, Phillips OL, Shvidenko A, Lewis SL, Canadell JG, Ciais P, Jackson RB, Pacala SW, McGuire AD, Piao S, Rautiainen A, Sitch S, Hayes D (2011)A large and persistent carbon sink in the world’s forests. Science 333 (6045): 988-993.
CrossRef |
Gscholar
(112)
Papin V, Bosc A, Sanchez L, Bouffier L (2024)Integrating environmental gradients into breeding: application of genomic reactions norms in a perennial species. CSH bioRxiv [preprint].
CrossRef |
Gscholar
(113)
Pques L (2013)Forest tree breeding in Europe: current state-of-the-art and perspectives. Series “Managing Forest Ecosystems” vol. 25, Springer, Dordrecht-Heidelberg-New York-London, pp. 527.
CrossRef |
Gscholar
(114)
Pegard M, Segura V, Munoz F, Bastien C, Jorge V, Sánchez L (2020)Favorable conditions for genomic evaluation to outperform classical pedigree evaluation highlighted by a proof-of-concept study in poplar. Frontiers in Plant Science 11: 1.
CrossRef |
Gscholar
(115)
Plomion C, Bartholome J, Lesur I, Boury C, Rodríguez-Quilón I, Lagraulet H, Ehrenmann F, Bouffier L, Gion J-M, Grivet D, De Miguel M, De María N, Cervera MT, Bagnoli F, Isik F, Vendramin GG, González-Martínez SC (2016)High-density SNP assay development for genetic analysis in maritime pine (
Pinus pinaster). Molecular Ecology Resources 16 (2): 574-587.
CrossRef |
Gscholar
(116)
Prasanna BM, Carvajal-Yepes M, Kumar PL, Kawarazuka N, Liu Y, Mulema AA, McCutcheon S, Ibabao X (2022)Sustainable management of transboundary pests requires holistic and inclusive solutions. Food Security 14 (6): 1449-1457.
CrossRef |
Gscholar
(117)
Raj S, Bräutigam K, Hamanishi ET, Wilkins O, Thomas BR, Schroeder W, Campbell MM (2011)Clone history shapes
Populus drought responses. Proceedings of the National Academy of Sciences USA 108 (30): 12521-12526.
CrossRef |
Gscholar
(118)
Rincent R, Charpentier JP, Faivre-Rampant P, Paux E, Le Gouis J, Bastien C, Segura V (2018)Phenomic selection is a low-cost and high-throughput method based on indirect predictions: proof of concept on wheat and poplar. G3 Genes|Genomes|Genetics 8 (12): 3961-3972.
CrossRef |
Gscholar
(119)
Rodriguez-Zaccaro FD, Groover A (2019)Wood and water: how trees modify wood development to cope with drought. Plants People Planet 1: 346-355.
CrossRef |
Gscholar
(120)
Roitsch D, Abruscato S, Lovrić M, Lindner M, Orazio C, Winkel G (2023)Close-to-nature forestry and intensive forestry - Two response patterns of forestry professionals towards climate change adaptation. Forest Policy and Economics 154: 103035.
CrossRef |
Gscholar
(121)
Rosenberg O, Almqvist C, Westin J (2012)Systemic insecticide and gibberellin reduced cone damage and increased flowering in a spruce seed orchard. Journal of Economic Entomology 105 (3): 916-922.
CrossRef |
Gscholar
(122)
Rosner S, Svetlik J, Andreassen K, Borja I, Dalsgaard L, Evans R, Karlsson B, Tollefsrud MM, Solberg S (2014)Wood density as a screening trait for drought sensitivity in Norway spruce. Canadian Journal of Forest Research 44 (2): 154-161.
CrossRef |
Gscholar
(123)
Rosner S, Svetlik J, Andreassen K, Borja I, Dalsgaard L, Evans R, Luss S, Tveito OE, Solberg S (2016)Novel hydraulic vulnerability proxies for a boreal conifer species reveal that opportunists may have lower survival prospects under extreme climatic events. Frontiers in Plant Science 7 (730): 229.
CrossRef |
Gscholar
(124)
Rosso L, Cantamessa S, Bergante S, Biselli C, Fricano A, Chiarabaglio P, Gennaro M, Nervo G, Secchi F, Carra A (2023)Responses to drought stress in poplar: what do we know and what can we learn? Life 13 (2): 533.
CrossRef |
Gscholar
(125)
Rosvall O (2011)Review of the Swedish tree breeding programme. Skogforsk, Upssala, Sweden, pp. 84.
Gscholar
(126)
Ruotsalainen S, Persson T (2013)Scots pine -
Pinus sylvestris L. In: “Best Practice for Tree Breeding in Europe” (Mullin T, Lee S eds). Skogforsk, Upssala, Sweden, pp. 49-59.
Gscholar
(127)
Schimleck LR, Michell AJ, Raymond CA, Muneri A (1999)Estimation of basic density of
Eucalyptus globulus using near-infrared spectroscopy. Canadian Journal of Forest Research 29 (2): 194-201.
CrossRef |
Gscholar
(128)
Schimleck L, Dahlen J, Apiolaza L, Downes G, Emms G, Evans R, Moore J, Pques L, Van Den Bulcke JJ, Wang X (2019)Non-destructive evaluation techniques and what they tell us about wood property variation. Forests 10: 728.
CrossRef |
Gscholar
(129)
Schuldt B, Buras A, Arend M, Vitasse Y, Beierkuhnlein C, Damm A, Gharun M, Grams TEE, Hauck M, Hajek P, Hartmann H, Hiltbrunner E, Hoch G, Holloway-Phillips M, Körner C, Larysch E, Lübbe T, Nelson DB, Rammig A, Rigling A, Kahmen A (2020)A first assessment of the impact of the extreme 2018 summer drought on Central European forests. Basic and Applied Ecology 45: 86-103.
CrossRef |
Gscholar
(130)
Semizer-Cuming D, Krutovsky KV, Baranchikov YN, Kjaer ED, Williams CG (2019)Saving the world’s ash forests calls for international cooperation now. Nature Ecology & Evolution 3 (2): 141-144.
CrossRef |
Gscholar
(131)
Simões R, Alves A, Pathauer PS, Palazzini DA, Marcuci-Poltri SN, Rodrigues J (2022)Prediction of the extractives content of Eucalyptus globulus wood using NIR-based PLS-R models. Influence of spectral range and preprocessing on the percentage of outliers detected. Journal of Wood Chemistry and Technology 42 (5): 352-360.
CrossRef |
Gscholar
(132)
Singh BK, Delgado-Baquerizo M, Egidi E, Guirado E, Leach J, Liu H, Trivedi P (2023)Climate change impacts on plant pathogens, food security and paths forward. Nature Reviews Microbiology 21 (10): 640-656.
CrossRef |
Gscholar
(133)
Skogfrøverket (2017)Skogfrøverkets strategi for skogplanteforedling 2010-2040 (revidert 2017) [The Norwegian Forestry Agency’s strategy for forest plant breeding 2010-2040 (revised 2017)]. Stiftelsen det norske Skogfrøverk, Norway, pp. 22. [in Norwegian]
Online |
Gscholar
(134)
Skogfrøverket (2021)Annual report 2021 (Hjort F ed). Stiftelsen det norske Skogfrøverk, Hamar, Norway, vol. 2021, pp. 58.
Gscholar
(135)
Skrøppa T, Steffenrem A (2021)Performance and phenotypic stability of Norway spruce provenances, families, and clones growing under diverse climatic conditions in four nordic countries. Forests 12 (2): 230.
CrossRef |
Gscholar
(136)
Solvin TM, Steffenrem A (2019)Modelling the epigenetic response of increased temperature during reproduction on Norway spruce phenology. Scandinavian Journal of Forest Research 34 (2): 83-93.
CrossRef |
Gscholar
(137)
Solvin TM, Puliti S, Steffenrem A (2020)Use of UAV photogrammetric data in forest genetic trials: measuring tree height, growth, and phenology in Norway spruce (
Picea abies L. Karst.). Scandinavian Journal of Forest Research 35 (7): 322-333.
CrossRef |
Gscholar
(138)
Stanton BJ, Neale DB, Li S (2010)Populus breeding: from the classical to the genomic approach. In: “Genetics and Genomics of
Populus” series, vol. 8 (Jansson S, Bhalerao R, Groover A eds). Springer, New York, NY, USA, pp. 309-348.
CrossRef |
Gscholar
(139)
Steffenrem A, Solheim H, Skrøppa T (2016)Genetic parameters for wood quality traits and resistance to the pathogens
Heterobasidion parviporum and
Endoconidiophora polonica in a Norway spruce breeding population. European Journal of Forest Research 135 (5): 815-825.
CrossRef |
Gscholar
(140)
Steffenrem A, Helmersson A (2022)Norway spruce. In: “Breeding Guidelines - Transversal Analysis”. B4EST project, Deliverable D3.5, Appendix, pp. 70-89.
Online |
Gscholar
(141)
Stejskal J, Klapste J, Cepl J, El-Kassaby YA, Lstiburek M (2022)Effect of clonal testing on the efficiency of genomic evaluation in forest tree breeding. Scientific Reports 12: 3033.
CrossRef |
Gscholar
(142)
Stocks JJ, Metheringham CL, Plumb WJ, Lee SJ, Kelly L, Nichols RA, Buggs RJA (2019)Genomic basis of European ash tree resistance to ash dieback fungus. Nature Ecology and Evolution 3 (12): 1686-1696.
CrossRef |
Gscholar
(143)
Strauss SH, Costanza A, Seguin A (2015)Genetically engineered trees: paralysis from good intentions. Science 349 (6250): 794-795.
CrossRef |
Gscholar
(144)
Subramanian N, Nilsson U, Mossberg M, Bergh J (2019)Impacts of climate change, weather extremes and alternative strategies in managed forests. Ecoscience 26 (1): 53-70.
CrossRef |
Gscholar
(145)
Swedjemark G, Karlsson B (2004)Genotypic variation in susceptibility following artificial
Heterobasidion annosum inoculation of
Picea abies clones in a 17-year-old field test. Scandinavian Journal of Forest Research 19 (2): 103-111.
CrossRef |
Gscholar
(146)
R Core Team (2024)R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
Online |
Gscholar
(147)
Tiret M, Pégard M, Sánchez L (2021)How to achieve a higher selection plateau in forest tree breeding? Fostering heterozygote × homozygote relationships in optimal contribution selection in the case study of
Populus nigra. Evolutionary Applications 14 (11): 2635-2646.
CrossRef |
Gscholar
(148)
Trebissou CIM, Tahi G, Munoz F, Sánchez L, N’Guetta S-PA, Cilas C, Ribeyre F (2021)Cocoa breeding must take into account the competitive value of cocoa trees. European Journal of Agronomy 128: 126288.
CrossRef |
Gscholar
(149)
Urban J, Ingwers MW, McGuire MA, Teskey RO (2017)Increase in leaf temperature opens stomata and decouples net photosynthesis from stomatal conductance in
Pinus taeda and
Populus deltoides x nigra. Journal of Experimental Botany 68: 1757-1767.
CrossRef |
Gscholar
(150)
Van Frankenhuyzen K, Beardmore T (2004)Current status and environmental impact of transgenic forest trees. Canadian Journal of Forest Research 34 (6): 1163-1180.
CrossRef |
Gscholar
(151)
Van Kooten GC, Johnston CMT (2016)The economics of forest carbon offsets. Annual Review of Resource Economics 8 (1): 227-246.
CrossRef |
Gscholar
(152)
Van Tassel DL, Tesdell O, Schlautman B, Rubin MJ, DeHaan LR, Crews TE, Krug AS (2021)New food crop domestication in the age of gene editing: genetic, agronomic and cultural change remain co-evolutionarily entangled. Frontiers in Plant Science 11: 789.
CrossRef |
Gscholar
(153)
Vasaitis R, Enderle R (2017)Dieback of European ash (
Fraxinus spp.) - Consequences and guidelines for sustainable management. Report on European Cooperation in Science and Technology, COST Action FP1103 FRAXBACK, SLU Service/Repro, Uppsala, Sweden.
Online |
Gscholar
(154)
Vejpustková M, Cihák T (2019)Climate response of Douglas fir reveals recently increased sensitivity to drought stress in Central Europe. Forests 10: 97.
CrossRef |
Gscholar
(155)
Vidal M, Plomion C, Raffin A, Harvengt L, Bouffier L (2017)Forward selection in a maritime pine polycross progeny trial using pedigree reconstruction. Annals of Forest Science 74 (1): 227.
CrossRef |
Gscholar
(156)
Viger M, Smith HK, Cohen D, Dewoody J, Trevin H, Steenackers M, Bastien C, Taylor G (2016)Adaptive mechanisms and genomic plasticity for drought tolerance identifed in European black poplar (
Populus nigra L.). Tree Physiology 36: 909-928.
CrossRef |
Gscholar
(157)
Villari C, Dowkiw A, Enderle R, Ghasemkhani M, Kirisits T, Kjr ED, Marčiulyniene D, McKinney LV, Metzler B, Muñoz F, Nielsen LR, Pliura A, Stener LG, Suchockas V, Rodriguez-Saona L, Bonello P, Cleary M (2018)Advanced spectroscopy-based phenotyping offers a potential solution to the ash dieback epidemic. Scientific Reports 8 (1): 81.
CrossRef |
Gscholar
(158)
Vitali V, Büntgen U, Bauhus J (2018)Seasonality matters - The effects of past and projected seasonal climate change on the growth of native and exotic conifer species in Central Europe. Dendrochronologia 48: 1-9.
CrossRef |
Gscholar
(159)
Wang M, Wang S, Liang Z, Shi W, Gao C, Xia G (2018)From genetic stock to genome editing: gene exploitation in wheat. Trends in Biotechnology 36 (2): 160-172.
CrossRef |
Gscholar
(160)
Webber J, Ott P, Owens J, Binder W (2005)Elevated temperature during reproductive development affects cone traits and progeny performance in
Picea glauca x engelmannii complex. Tree Physiology 25 (10): 1219-1227.
CrossRef |
Gscholar
(161)
Wei RP, Lindgren K, Lindgren D (2001)Parental environment effects on cold acclimation and height growth in lodgepole pine seedlings. Silvae Genetica 50 (5-6): 252-257.
Gscholar
(162)
Wildhagen H, Paul S, Allwright Hazel M S, Malinowska M, Schnabel SK, Paulo MJ, Cattonaro F, Vendramin V, Scalabrin S, Janz D, Douthe C, Brendel O, Buré C, Cohen D, Hummel I, Le Thiec D, Van Eeuwijk F, Keurentjes JJB, Flexas J, Morgante M, Robson P, Bogeat-Triboulot M-B, Taylor G, Polle A (2018)Genes and gene clusters related to genotype and drought-induced variation in saccharification potential, lignin content and wood anatomical traits in
Populus nigra. Tree Physiology 38: 320-339.
CrossRef |
Gscholar
(163)
Wong CK, Bernardo R (2008)Genome-wide selection in oil palm: increasing selection gain per unit time and cost with small populations. Theoretical and Applied Genetics 116 (6): 815-824.
CrossRef |
Gscholar
(164)
Yasuda Y, Iki T, Takashima Y, Takahashi M, Hiraoka Y, Mishima K (2021)Genetic gains in wood property can be achieved by indirect selection and nondestructive measurements in full-sib families of Japanese cedar (
Cryptomeria japonica D. Don) plus tree clones. Annals of Forest Science 78: 1-10.
CrossRef |
Gscholar
(165)
Yin Y, Wang C, Xiao D, Liang Y, Wang Y (2021)Advances and perspectives of transgenic technology and biotechnological application in forest trees. Frontiers in Plant Science 12: 1477.
CrossRef |
Gscholar
