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"en": "The map describes the larval production areas of Baltic herring in the Finnish coastal area. The larval areas have been modelled with Gaussian processes, a species distribution modelling approach, and they are based on larval survey data collected in 2007-2014 in the VELMU project. The spatial resolution of the map is 50 m and it is in raster format (GeoTIFF). The map is suitable for marine and coastal spatial planning. The modelled map gives an overview of the extent and spatial distribution as well as the production potential of the larval production areas of Baltic herring in the Finnish coastal areas. It can be used for marine spatial planning of the coastal zone. The map is not suitable for local larval production estimates.",
"fi": "Kartassa on kuvattu kevätkutuisen silakan poikasten esiintymisalueet (perustuen 4-9 mm pituisten pienpoikasten runsaushavaintoihin) Suomen rannikolla. Poikasten esiintymisalueet on mallinnettu Gaussisella prosessimallilla vuosina 2007–2014 kerättyjen kalaspoikashavaintojen ja paikkatietomuodossa olevien ennustemuuttujien perusteella. Aineiston laskentaresoluutio on 50 m ja se on rasterimuotoinen (GeoTIFF). \n\nMallinnuksessa käytetyt ennustemuuttujat ovat rannikkoalueen maantieteellisiä ominaisuuksia yleistäviä, joten karttamalli ei sovellu yksittäisten lisääntymisalueiden arviointiin. Mallinnuskartta antaa yleiskuvan kevätkutuisen silakan poikasten esiintymisalueiden laajuudesta ja sijainnista Suomen rannikkoalueella. Kartoitushavaintoja ja karttamallia voidaan käyttää tarkempien kenttäkartoitusten suunnittelussa. \n\nSilakkapoikasmallin perusteella pienpoikasten esiintyminen painottuu sisälahtien ja -saariston ulkopuolelle ja siellä on syytä huomioida, että merivirrat saattavat kuljettaa poikasia kauaksi kutualueista. Poikasmallin tulokset eivät siis anna tarkka kuvaa kutualueiden sijainnista rannikolla.",
"sv": "Kartan visar yngelproduktionsområdena för strömming (4–9 mm långa småyngel) på Finlands kust. Yngelproduktionsområdena har modellerats med gaussiska processer utifrån fiskyngelobservationer som samlats in åren 2007–2014 och prognosvariabler i geodataformat. Materialets spatiella upplösning är 50 m och det är i rasterformat (GeoTIFF). Kartan lämpar sig för allmän beskrivning av fiskarnas förökningsområden samt för planering av användningen och vården av kustområden. Kartan ger en översiktlig bild av omfattningen och läget av strömmingens yngelproduktionsområden och volymen av strömmingens yngelproduktion i Finlands kustområde. Den kan användas som kompletterande uppgift bl.a. vid planering och planläggning av kustzonen eftersom kunskaper om förökningsområdena underlättar planeringen av användningen och skyddet av kustområdet. Kartan lämpar sig inte för exakta utredningar av förökningsområdena på lokal nivå."
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"en": "<jats:p>Productive fisheries are strongly linked to the ecological state of the essential habitats. In this study, we developed a methodology to assess the most important reproduction habitats of fish by using larval survey data and Bayesian species distribution models that predict the spatial distribution and abundance of fish larvae. Our case study with four commercially and ecologically important fish species in the coastal zone of the northern Baltic Sea demonstrated that the production of fish stocks can be concentrated to an extremely limited area compared with the entire suitable production area. The area suitable for larval production varied from 3.7% to 99.8% among species, but the smallest area responsible for 80% of the cumulative larval production was two to five times more limited, varying from 1.4% to 52.9% among species. Hence, instead of the traditional approach of modeling only habitat suitability for fish production, marine spatial planning and management should take into account the areal production potential. Moreover, the developed methodology enables linking of the total production potential across the whole distribution area to fisheries stock assessment and management.</jats:p>",
"fi": "<jats:p>Productive fisheries are strongly linked to the ecological state of the essential habitats. In this study, we developed a methodology to assess the most important reproduction habitats of fish by using larval survey data and Bayesian species distribution models that predict the spatial distribution and abundance of fish larvae. Our case study with four commercially and ecologically important fish species in the coastal zone of the northern Baltic Sea demonstrated that the production of fish stocks can be concentrated to an extremely limited area compared with the entire suitable production area. The area suitable for larval production varied from 3.7% to 99.8% among species, but the smallest area responsible for 80% of the cumulative larval production was two to five times more limited, varying from 1.4% to 52.9% among species. Hence, instead of the traditional approach of modeling only habitat suitability for fish production, marine spatial planning and management should take into account the areal production potential. Moreover, the developed methodology enables linking of the total production potential across the whole distribution area to fisheries stock assessment and management.</jats:p>",
"und": "<jats:p>Productive fisheries are strongly linked to the ecological state of the essential habitats. In this study, we developed a methodology to assess the most important reproduction habitats of fish by using larval survey data and Bayesian species distribution models that predict the spatial distribution and abundance of fish larvae. Our case study with four commercially and ecologically important fish species in the coastal zone of the northern Baltic Sea demonstrated that the production of fish stocks can be concentrated to an extremely limited area compared with the entire suitable production area. The area suitable for larval production varied from 3.7% to 99.8% among species, but the smallest area responsible for 80% of the cumulative larval production was two to five times more limited, varying from 1.4% to 52.9% among species. Hence, instead of the traditional approach of modeling only habitat suitability for fish production, marine spatial planning and management should take into account the areal production potential. Moreover, the developed methodology enables linking of the total production potential across the whole distribution area to fisheries stock assessment and management.</jats:p>"
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"en": "The modelled map describes the larval production probability of vendace in the Bothnian Sea, the Quarken area, and the Bay of Bothnia. The larval areas were modelled with Gaussian processes, a species distribution modelling approach, and are based on larval survey data collected in 2009 – 2011 in the Intersik project. The spatial resolution of the map is 100 m and it is in raster format (GeoTIFF). The map is suitable for marine and coastal spatial planning. The modelled map gives an overview of the extent and spatial distribution of the larval production areas of vendace in the Gulf of Bothnia. It can be used for marine spatial planning of the coastal zone. The map is not suitable for local larval production estimates.",
"fi": "Kartassa on kuvattu merikutuisen muikun todennäköiset poikastuotantoalueet Selkämerellä, Merenkurkussa ja Perämerellä. Lisääntymisalueet on mallinnettu Gaussisella prosessimallilla vuosina 2009–2011 kerättyjen poikashavaintojen ja paikkatietomuodossa olevien ennustemuuttujien perusteella. Aineiston laskentaresoluutio on 300 m ja se on rasterimuotoinen (GeoTIFF). \n\nKartta soveltuu antamaan yleiskuvan muikun poikastuotantoalueiden laajuudesta ja sijainnista Selkämerellä, Merenkurkussa ja Perämerellä. Sitä voidaan käyttää rannikkovyöhykkeen suunnittelun, kaavoituksen yms. lisätietona, mutta kartta ei sovellu yksittäisten lisääntymisalueiden arviointiin.",
"sv": "Kartan beskriver de sannolika yngelproduktionsområdena för siklöja sik i Bottenhavet, Kvarken och Bottenviken. Förökningsområdena har modellerats med gaussiska processer utifrån yngelobservationer och prognosvariabler i geodataformat som samlats in åren 2009-2011. Uppgiften om förekomsten av yngel av siklöja användes för att generalisera resultaten för hela havsområdet. Med hjälp av dataprogram för geodata beräknades variabler som beskriver strandområdets geografiska, klimatiska och kemiska egenskaper som förenades med yngelobservationer med en matematisk modell. Med hjälp av modelleringen kunde man ta fram en modell som beskriver sannolikheten för förekomsten av fiskyngel i kustområdena. Materialets spatiella upplösning är 100 m och det är i rasterformat (GeoTIFF). Kartan lämpar sig för allmän beskrivning av fiskarnas förökningsområden samt för planering av användningen och vården av kustområden. Kartan ger en översiktlig bild av omfattningen och läget av siklöjans yngelproduktionsområden i Bottenhavet, Kvarken och Bottenviken. Den kan användas som kompletterande uppgift bl.a. vid planering och planläggning av kustzonen eftersom kunskaper om förökningsområdena underlättar planeringen av användningen och skyddet av kustområdet. Kartan lämpar sig inte för exakta utredningar av förökningsområdena på lokal nivå."
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"fi": "Kartassa on kuvattu merikutuisen siian todennäköiset poikastuotantoalueet Selkämerellä, Merenkurkussa ja Perämerellä. Lisääntymisalueet on mallinnettu Gaussisella prosessimallilla vuosina 2009–2011 kerättyjen poikashavaintojen ja paikkatietomuodossa olevien ennustemuuttujien perusteella. Siianpoikasten esiintymistietoa käytettiin tulosten yleistämiseksi koko merialueelle. Paikkatieto-ohjelmistojen avulla laskettiin ranta-alueen maantieteellisiä, ilmastollisia ja kemiallisia ominaisuuksia kuvaavia muuttujia, jotka yhdistettiin poikashavaintoihin matemaattisella mallilla. Aineiston laskentaresoluutio on 300 m ja se on rasterimuotoinen (GeoTIFF). \n\nMallinnettu karttataso kertoo yleiskuvan merikutuisen siian poikastuotantoalueiden laajuudesta ja sijainnista Selkämerellä, Merenkurkussa ja Perämerellä. Sitä voidaan käyttää rannikkovyöhykkeen suunnittelun, kaavoituksen yms. lisätietona, mutta kartta ei sovellu yksittäisten lisääntymisalueiden arviointiin.",
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"en": "The map describes the larval production areas of gobies in the Finnish coastal area. The larval areas have been modelled with Gaussian processes, a species distribution modelling approach, and they are based on larval survey data collected in 2007-2014 in the VELMU project. The spatial resolution of the map is 50 m and it is in raster format (GeoTIFF). The map is suitable for marine and coastal spatial planning. The modelled map gives an overview of the extent and spatial distribution as well as the production potential of the larval production areas of gobies in the Finnish coastal areas. It can be used for marine spatial planning of the coastal zone. The map is not suitable for local larval production estimates.",
"fi": "Kartassa on kuvattu tokkojen (hietatokko, liejutokko, mustatokko, seitsenruototokko, mustatäplätokko) pienpoikasten esiintymisalueet Suomen rannikolla. Alueet on mallinnettu Gaussisella prosessimallilla vuosina 2007–2014 kerättyjen lisääntymisaluehavaintojen ja paikkatietomuodossa olevien ennustemuuttujien perusteella. Aineiston spatiaalinen resoluutio on 50 m ja se on rasterimuotoinen (GeoTIFF). \n\nKartta antaa yleiskuvan tokkojen poikastuotantoalueiden laajuudesta ja sijainnista Suomen rannikkoalueella.",
"sv": "Kartan visar yngelproduktionsområdena för smörbultar längs Finlands kust. Yngelproduktionsområdena har modellerats med gaussiska processer utifrån observationer om förökningsområden som samlats in åren 2007–2014 och prognosvariabler i geodataformat. Materialets spatiella upplösning är 50 m och det är i rasterformat (GeoTIFF). Kartan lämpar sig för allmän beskrivning av fiskarnas förökningsområden samt för planering av användningen och vården av kustområden. Kartan ger en översiktlig bild av omfattningen och läget av smörbultarnas yngelproduktionsområden och volymen av smörbultarnas yngelproduktion i Finlands kustområde. Den kan användas som kompletterande uppgift bl.a. vid planering och planläggning av kustzonen eftersom kunskaper om förökningsområdena underlättar planeringen av användningen och skyddet av kustområdet. Kartan lämpar sig inte för exakta utredningar av förökningsområdena på lokal nivå."
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"en": "<jats:p>Productive fisheries are strongly linked to the ecological state of the essential habitats. In this study, we developed a methodology to assess the most important reproduction habitats of fish by using larval survey data and Bayesian species distribution models that predict the spatial distribution and abundance of fish larvae. Our case study with four commercially and ecologically important fish species in the coastal zone of the northern Baltic Sea demonstrated that the production of fish stocks can be concentrated to an extremely limited area compared with the entire suitable production area. The area suitable for larval production varied from 3.7% to 99.8% among species, but the smallest area responsible for 80% of the cumulative larval production was two to five times more limited, varying from 1.4% to 52.9% among species. Hence, instead of the traditional approach of modeling only habitat suitability for fish production, marine spatial planning and management should take into account the areal production potential. Moreover, the developed methodology enables linking of the total production potential across the whole distribution area to fisheries stock assessment and management.</jats:p>",
"fi": "<jats:p>Productive fisheries are strongly linked to the ecological state of the essential habitats. In this study, we developed a methodology to assess the most important reproduction habitats of fish by using larval survey data and Bayesian species distribution models that predict the spatial distribution and abundance of fish larvae. Our case study with four commercially and ecologically important fish species in the coastal zone of the northern Baltic Sea demonstrated that the production of fish stocks can be concentrated to an extremely limited area compared with the entire suitable production area. The area suitable for larval production varied from 3.7% to 99.8% among species, but the smallest area responsible for 80% of the cumulative larval production was two to five times more limited, varying from 1.4% to 52.9% among species. Hence, instead of the traditional approach of modeling only habitat suitability for fish production, marine spatial planning and management should take into account the areal production potential. Moreover, the developed methodology enables linking of the total production potential across the whole distribution area to fisheries stock assessment and management.</jats:p>",
"und": "<jats:p>Productive fisheries are strongly linked to the ecological state of the essential habitats. In this study, we developed a methodology to assess the most important reproduction habitats of fish by using larval survey data and Bayesian species distribution models that predict the spatial distribution and abundance of fish larvae. Our case study with four commercially and ecologically important fish species in the coastal zone of the northern Baltic Sea demonstrated that the production of fish stocks can be concentrated to an extremely limited area compared with the entire suitable production area. The area suitable for larval production varied from 3.7% to 99.8% among species, but the smallest area responsible for 80% of the cumulative larval production was two to five times more limited, varying from 1.4% to 52.9% among species. Hence, instead of the traditional approach of modeling only habitat suitability for fish production, marine spatial planning and management should take into account the areal production potential. Moreover, the developed methodology enables linking of the total production potential across the whole distribution area to fisheries stock assessment and management.</jats:p>"
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"fi": "Kartassa on kuvattu kuhan pienpoikasten (pituus tavallisesti 5-15 mm, ka 6,6 mm) esiintymisalueet Suomen rannikolla. Alueet on mallinnettu Gaussisin prosessein vuosina 2007–2014 kerättyjen kalanpoikashavaintojen ja paikkatietomuodossa olevien ennustemuuttujien perusteella. Aineiston laskentaresoluutio on 50 m ja se on rasterimuotoinen (GeoTIFF). \n\nKartta antaa yleiskuvan kuhan poikastuotantoalueiden laajuudesta ja sijainnista Suomen rannikkoalueella. Sitä voidaan käyttää mm. kalavesien käytön alueelliseen ja paikalliseen suunnitteluun. Kartoitushavainnot ja mallien antamat tulokset sopivat myös tarkempien kenttäkartoitusten suunnitteluun.",
"sv": "Kartan visar yngelproduktionsområdena för gös längs Finlands kust. Yngelproduktionsområdena har modellerats med gaussiska processer utifrån fiskyngelobservationer som samlats in åren 2007–2014 och prognosvariabler i geodataformat. Materialets spatiella upplösning är 50 m och det är i rasterformat (GeoTIFF). Kartan lämpar sig för allmän beskrivning av fiskarnas förökningsområden samt för planering av användningen och vården av kustområden. Kartan ger en översiktlig bild av omfattningen och läget av gösens yngelproduktionsområden och volymen av gösens yngelproduktion i Finlands kustområde. Den kan användas som kompletterande uppgift bl.a. vid planering och planläggning av kustzonen eftersom kunskaper om förökningsområdena underlättar planeringen av användningen och skyddet av kustområdet. Kartan lämpar sig inte för exakta utredningar av förökningsområdena på lokal nivå."
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"fi": "Kartassa on kuvattu ahvenen pienpoikasten (4–20 mm, ka 8,3 mm) esiintymisaluetta Suomen rannikolla. Alueet on mallinnettu Gaussisella prosessimallilla vuosina 2007–2014 kerättyjen kalanpoikashavaintojen ja paikkatietomuodossa olevien ennustemuuttujien perusteella. Aineiston spatiaalinen resoluutio on 50 m ja se on rasterimuotoinen (GeoTIFF). \n\nKartta antaa yleiskuvan ahvenen poikastuotantoalueiden laajuudesta ja sijainnista Suomen rannikkoalueella. Sitä voidaan käyttää mm. kalavesien käytön alueelliseen ja paikalliseen suunnitteluun. Kartoitushavainnot ja mallien antamat tulokset sopivat myös tarkempien kenttäkartoitusten suunnitteluun.",
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"en": "Yrttimaa, Kankare, Luoma, Junttila, Saarinen, Calders, Holopainen, Hyyppä, Vastaranta: A method for identifying and segmenting branches of Scots pine (<i>Pinus sylvestris</i> L.) trees using terrestrial laser scanning",
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"en": "<jats:title>Abstract</jats:title>\n <jats:p>Terrestrial laser scanning (TLS) has been adopted as a feasible technique to characterize tree stems while the characterization of trees’ branching architecture has remained less explored. In general, branching architecture refers to the spatial arrangement of branches and their characteristics that are important when exploring the eco-physiological functioning of trees or assessing tree biomass and wood quality. Our aim was to develop a point cloud processing method for identifying and segmenting individual branches from TLS point clouds. We applied a Cartesian-to-cylinder coordinate transformation and a simple morphological filtering for stem surface reconstruction and stem-branch separation. Then branch origins were identified as their intersections with the stem surface, and individual branches were segmented based on their connectivity with the branch origins. The method, implemented in MATLAB and openly available, was validated on a 0.4-ha mature and managed southern boreal forest stand. The branch identification performance was assessed based on visual interpretation of 364 randomly sampled stem sections from 100 Scots pine (Pinus sylvestris (L.)) trees that were inspected for branch identification accuracy. The results showed that the branches could only be identified up to the height where the stem could be reconstructed. For 90% of the trees, this threshold ranged between 59.3% and 81.2% relative tree heights. Branches located below this threshold were identified with a recall of 75%, a precision of 92%, and an F1-score of 0.82. Based on our study, it appears that in a managed Scots pine stand, most of the branches can be identified with the developed method for the most valuable stem part eligible for logwood. The findings obtained in this study promote the feasibility of using TLS in applications requiring detailed characterization of trees. The developed method can be further used in quantifying the characteristics of individual branches, which could be useful for biomass and wood quality assessment, for example.</jats:p>",
"fi": "<jats:title>Abstract</jats:title>\n <jats:p>Terrestrial laser scanning (TLS) has been adopted as a feasible technique to characterize tree stems while the characterization of trees’ branching architecture has remained less explored. In general, branching architecture refers to the spatial arrangement of branches and their characteristics that are important when exploring the eco-physiological functioning of trees or assessing tree biomass and wood quality. Our aim was to develop a point cloud processing method for identifying and segmenting individual branches from TLS point clouds. We applied a Cartesian-to-cylinder coordinate transformation and a simple morphological filtering for stem surface reconstruction and stem-branch separation. Then branch origins were identified as their intersections with the stem surface, and individual branches were segmented based on their connectivity with the branch origins. The method, implemented in MATLAB and openly available, was validated on a 0.4-ha mature and managed southern boreal forest stand. The branch identification performance was assessed based on visual interpretation of 364 randomly sampled stem sections from 100 Scots pine (Pinus sylvestris (L.)) trees that were inspected for branch identification accuracy. The results showed that the branches could only be identified up to the height where the stem could be reconstructed. For 90% of the trees, this threshold ranged between 59.3% and 81.2% relative tree heights. Branches located below this threshold were identified with a recall of 75%, a precision of 92%, and an F1-score of 0.82. Based on our study, it appears that in a managed Scots pine stand, most of the branches can be identified with the developed method for the most valuable stem part eligible for logwood. The findings obtained in this study promote the feasibility of using TLS in applications requiring detailed characterization of trees. The developed method can be further used in quantifying the characteristics of individual branches, which could be useful for biomass and wood quality assessment, for example.</jats:p>",
"und": "<jats:title>Abstract</jats:title>\n <jats:p>Terrestrial laser scanning (TLS) has been adopted as a feasible technique to characterize tree stems while the characterization of trees’ branching architecture has remained less explored. In general, branching architecture refers to the spatial arrangement of branches and their characteristics that are important when exploring the eco-physiological functioning of trees or assessing tree biomass and wood quality. Our aim was to develop a point cloud processing method for identifying and segmenting individual branches from TLS point clouds. We applied a Cartesian-to-cylinder coordinate transformation and a simple morphological filtering for stem surface reconstruction and stem-branch separation. Then branch origins were identified as their intersections with the stem surface, and individual branches were segmented based on their connectivity with the branch origins. The method, implemented in MATLAB and openly available, was validated on a 0.4-ha mature and managed southern boreal forest stand. The branch identification performance was assessed based on visual interpretation of 364 randomly sampled stem sections from 100 Scots pine (Pinus sylvestris (L.)) trees that were inspected for branch identification accuracy. The results showed that the branches could only be identified up to the height where the stem could be reconstructed. For 90% of the trees, this threshold ranged between 59.3% and 81.2% relative tree heights. Branches located below this threshold were identified with a recall of 75%, a precision of 92%, and an F1-score of 0.82. Based on our study, it appears that in a managed Scots pine stand, most of the branches can be identified with the developed method for the most valuable stem part eligible for logwood. The findings obtained in this study promote the feasibility of using TLS in applications requiring detailed characterization of trees. The developed method can be further used in quantifying the characteristics of individual branches, which could be useful for biomass and wood quality assessment, for example.</jats:p>"
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"en": "Terrestrial laser scanning point cloud (Riegl VZ-400i) from a managed Scots pine stand in the Evo test site, November 2022"
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"en": "Description of rust files (1-8):\n\n#### Data 1: Chemical composition of leaves of eight alternate hosts of Cronartium spp.\n\nThe aim of the study was to investigate the chemical variation of leaves of susceptible and resistant alternate hosts of Cronartium spp. It was aimed to identify chemicals that distinguish susceptible and resistant closely related species from one another. The studied plant species were Melampyrum sylvaticum, M. pratense, Veronica longifolia, V. chamaedrys, Impatiens balsamina, I. glandulifera, Ribes nigrum and R. rubrum. Twenty plants per species were investigated.\n\nThe data (four accurate mass files) consisted of automatic chemical data given by the LCMS masspectrometer device. Each peak shown as peak area in relation to retention time indicated a chemical compound. The chemical data from samples were measured in separate runs in positive and negative mode. Chromatography and MS parameters were identical, while only some source settings were optimized individually for each polarity. The fifth file contained concentrations of 12 selective chemicals in the 160 leaf samples. \n\nThe plant leaves were collected in the Oulu city area, air dried, cold stored and extracted in methanol in Luke's (Oulu) Lynet laboratory. Twenty plants from eight plants species each were used. The chemical analysis was done in Biocenter of the University of Oulu using a LCMS mass spectrometer. The device measured automatically from the samples peak areas representing chemical compounds. Based on this data, chemicals that separated significantly susceptible and resistant alternate host pairs from each other were identified. In addition, based on literature, concentrations of 12 selected compounds were calculated and compared between susceptible and resistant species. The used protocols were presented in detail in Piispanen et al. 2023, Eur. J. Pl. Pathol., 165, 677-682. The data contains features generated by the Compound Discoverer software as specified in Piispanen et al. 2023, Eur. J. Pl. Pathol., 165, 677-682. Each feature represents a compound characterized by accurate mass, chromatographic retention time, and the peak area. The fifth file contained results for targeted (absolute) quantification of 12 selected chemicals in the 160 leaf samples.\n \n Four Excel-data of negative and positive accurate mass data from LCMS were connected to the data. The data includes from each compound calculated automatically by the device Molecular weight, Retention time, Maximun area, and Raw areas of every peak. The data have been shown in two positive and negative accurate mass files. Based on these files, the compounds significantly differing between plant species pairs were calculated. In addition, 12 selected compounds were picked up from the data in all samples and compared between plant species. The variables in the Excel data are Sample/Plant species, Sample size mg, Extraction 1, Extraction 2, Extraction total and callculation of the amount of 12 compounds. The Plant species were: Melampyrum sylvaticum, M. pratense, Veronica chamaedrys, V. longifolia, Impatiens glandulifera, I. balsamina, Ribes nigrum and R. rubrum. The chemical compounds were chlorogenic acid, caffeic acid, syringic acid, p-coumaric acid, rutin, hyperoside, ferulic acid, quercitrin, myricetin, luteolin, apigenin and chamepherol. The results were presented in Piispanen et al. 2023, Eur. J. Pl. Pathol.,165,677-692.\n\n In Materials 1-3, the LCMS-data was collected by Biocenter, University of Oulu, where the responsible person was Dr. Ulrich Bergmann. The extractions and other calculations were done in Luke.\n\n#### Data 2: Temporal, spatial and leaf age variation of 12 chemicals of leaves of Melampyrum pratense and M. sylvaticum. \n\nThe aim of this study was to investigate the chemical variation of 12 compounds between susceptible and resistant alternate hosts, temporal variation within growing season, spatial variation between locations and variation between young and old plant leaves.\n\nThe data consisted of results from 440 leaf samples of M. pratense and M. sylvaticum collected in 1-3 locations in Oulu city either in late June, mid-July or late August. Samples represented either young or old leaves. The results represented concentrations of 12 selective compounds. The analyses were done using LCMS. \n\nLeaf samples of M. pratense and M. sylvaticum were collected from 5 locations in the Oulu city area. Samples were collected also in early, mid- and late season. Leaves were analysed also from young and old leaves of the plants. Ten plants per species were collected in each collection. The samples were analysed similar to samples of material 1 as well as also the 12 selected chemicals were using LCMS. The used protocols were presented in Piispanen et al. 2023, Eur. J. Pl. Pathol., 165, 677-692. A manuscript Piispanen et al. 2024 from the results is under process.\n\nThe Excel-data consisted of the amounts of 12 compounds found in the samples. The weights were based on LCMS-analysis. The variables in the Excel.-file Material 2.xlsx were Extraction date, Collection date, Plant species (M. sylvaticum or M. pratense), No. of plants (1-10), young/old leaves (n=young leaves, v=old leaves), No. of extraction, Weight (mg), Sample number (401-840), Amounts of compounds (ng/mg): chlorogenic acid, caffeic acid, syringic acid, p-coumaric acid, rutin, hyperoside, ferulic acid, quercitrin, myricetin, luteolin, apigenin and caempherol. NF=Not found=0 in calculations. Minus values=0 in calculations. . = Missing data. A paper of the results Piispanen et al. 2024 is under process.\n\n#### Data 3: Effect of Cronartium spp. infection on 12 chemicals in leaves of susceptible alternate hosts of Cronartium spp. \n\nThe aim of this study was to investigate the chemical changes in 12 compounds after Cronartium spp. inoculation just after infection before fruitbody formation.\n\nThe data consisted of concentrations of 12 selected chemicals from inoculated and control leaves either 3 or 6 days after inoculation. The inoculations with Cronartium spp. were done in the greenhouse for three susceptible alternate hosts. The analyses of compounds were done using LCMS. \n\nAll leaves of 20 susceptible plants of C. pini, P. lactiflora and I. balsamina, were inoculated with C. pini in the greenhouse by dusting spores on leaves and incubating the plants for 24 h with a moistened plastic bag. The inoculation protocol has been presented in detail in Kaitera et al. 2015, Pl. Pathol. 64, 738-747. In addition, leaves of one branch per plant of 20 R. nigrum were inoculated similarly with C. ribicola. Twenty plants were left uninoculated as controls for each species. Ten inoculated leaves were collected from all plants 3 and 6 days after inoculation. The leaves were prepared and 12 selected chemicals analysed from the samples using LCMS as in material 2. For the protocols, see Piispanen et al. 2023, Eur. J. Pl. Pathol.,165, 677-692. A manuscript Piispanen et al. 2024 from the results is under process.\n\nThe Excel-data consisted of the amounts of 12 compounds found in the samples. The weights were based on LCMS-analysis. The variables in the Excel-file Material 3.xlsx were: Plant species (Ribes nigrum, Paeonia lactiflora, Impatiens balsamina), No. of plants (1-20), Inoculation (Cronartium pini, C. ribicola)/Control, Incubation days (3 or 6 days), Sample number (1-240), compounds (ng/mg): chlorogenic acid, caffeic acid, syringic acid, p-coumaric acid, rutin, hyperoside, ferulic acid, quercitrin, myricetin, luteolin, apigenin, caempherol.NF=Not found=0 in calculations. Minus values=0 in calculations. . = Missing data. A paper of the results is in process.\n\n#### Data 4: Temporal and spatial variation of endophytes in leaves of eight alternate hosts of Cronartium. \n\nThe aim of this study was to investigate spatial variation between locations and temporal variation within growing season in endophyte composition of leaves of seven alternate hosts of Cronartium spp.\n\nThe data consisted of frequencies of isolates representing 37 morphotypes of endophytes in leaves of eight alternate hosts of Cronartium spp. The morphotypes were divided among collection locations and divided into two times of collections, early and late season, which were divided in two files. Also the genetic identification of representative endophytes of different morphotypes was included. \n\nFive healthy leaves per plant from five plants of eight susceptible and resistant alternate hosts of Cronartium spp. were collected from one to three locations in Oulu city area in late June and early September. Five small pieces were cut sterily from each leaf, sterilized and inserted on agar. Endophytes emerging on the agar were transferred to pure cultures and grown at 18 C for one month after which the morphotype of the endophyte was characterised and grouped into 37 groups based on their morphology on agar. Endophytes representing the most common morphotypes and alternate hosts were identified genetically. The isolation procedure, genetic analysis and the results have been presented in Piispanen et al. 2024, Eur. J. Pl. Pathol. (under review). \n\nThe Excel-data of file Morphotypes_early season.xlsx and Morphotypes_late season.xlsg contain frequencies of endophytes from eight plants species collected in late June or early September from 1-3 locations and classified in different morphotypes. The variables were Morphotype (1-37), Plant species: Melampyrun sylvaticum, M. pratense, Veronica chamaedrys, V. longifolia, Impatiens glandulifera, I. balsamina, Ribes nigrum, R. rubrum/Areas (1-3), Total. The results of the DNA-analysis are included in Excel-file DNA-analyses.xlsg containing the variables: Sample, Isolate, Plant species (Melampyrun sylvaticum, M. pratense, Veronica chamaedrys, V. longifolia, Impatiens glandulifera, I. balsamina, Ribes nigrum, R. rubrum, Morphotype, Sequence tag, Fungal species, Match (to GenBank), Sequence.\n\n#### Data 5: Effect of leaf extracts on germination of Cronartium spores. \n\nThe aim of this study was to investigate the effect of leaf extracts of susceptible and resistant alternate hosts of Cronartium and some commercial extracts added to water agar at three concentrations on germination of aeciospores of Cronartium spp. \n\nThe data consisted of germination results of Cronartium spp. on eight leaf extracts from alternate hosts, two commercial extracts and two control treatments on water agar after 24 h incubation at 21,5ºC. Three concentrations, 50ppm, 100ppm and 500 ppm, were used from each extract. For the water agar control, the concentration was 0. Germination of the spores was counted as percentage of germinating aeciospores under stereo microscope in 10 random fields on agar plates.\n\nPlant extracts from eight alternate hosts, chlorogenic acid and quercitrin were extracted as in materials 1 and 2 and added on agar at three concentrations, 50ppm, 100ppm and 500ppm. Methanol and pure malt agar were used as controls. Concentration for the malt agar was 0. Aeciospores of C. pini and C. ribicola were dusted on the agar plates and germination of the spores was counted under light microscope after 24 h incubation at 21,5ºC. Germination was counted from 10 random fields on each plate. A manuscript Piispanen et al. 2024 from the results is under process.\n\nThe Excel-data Material 5.xlsx contains variables Extract (eight plant extracts from Melampyrum sylvaticum, M. pratense, Veronica chamaedrys, V. longifolia, Impatiens glandulifera, I. balsamina, Ribes nigrum and R. rubrum, chlorogenic acid, quercitrin, methanol and pure malt agar control), Dose (500ppm, 100ppm, 50ppm for the extracts and 0ppm for the malt agar control), Plate, Rust (inoculated rust species: Cronartium pini or C. ribicola), sample 1-10 (germination % counted from 10 areas on the agar).\n\n#### Data 6: Effect of leaf extracts on growth of endophytes of alternate hosts of Cronartium spp. \n\nThe aim of this study was to investigate the effect of leaf extracts from susceptible and resistant alternate hosts of Cronartium spp. on the growth of common endophytes of the alternate hosts of these Cronartium rusts.\n\nThe data consisted of growth measurements of seven selected endophytes of different alternate hosts. The most common endophyte of each plant was used. Extracts were spread on agar and the growth of each endophyte was measured. Three concentrations were used for each extract.\n\nSeven endophytes that represented the most common endophytes of the alternate hosts of Cronartium, were transferred to agar plates added with leaf extracts and methanol of eight alternate hosts, two commercial chemicals and two controls, methanol and agar without any extract. The extracts were added at concentrations of 50ppm, 100ppm and 500ppm. The malt agar control had 0ppm extract. Growth of the endophytes were first drawn on plastic film after 6-20 days of incubation depending on the growth rate of each endophyte. The same incubation time was used among extracts of each endophyte. The growth area was measured from the films using a planimeter. A manuscript Piispanen et al. 2024 from the results is under process.\n\nThe Excel-data Material 6.xlsx contains variables: Extract (8 plant extracts of M. sylvaticum, M. pratense, V. chamaedrys, V. longifolia, I. glandulifera, I. balsamina, R. nigrum and R. rubrum, and two controls of methanol and pure malt agar), concentration (500ppm, 100ppm, 50 ppm and 0ppm), Endophyte (7 endophytes from M. sylvaticum, M. pratense, V. chamaedrys, I. glandulifera, I. balsamina, R. nigrum and R. rubrum), plate (1-5 repeats), Area, cm2 (growth rate after incubation of 6-20 days), Days (No. of incubation days). . = Missing data.\n\n#### Data 7: Effect of leaf extracts on fruiting and sporulation of Cronartium spp. on susceptible alternate hosts. \n\nThe aim of this study was to clarify, if extracts from resistant alternate hosts of Cronartium spp. can protect susceptible alternate hosts to Cronartium infection, fruiting and sporulation.\n\nThe data consisted of frequencies of uredinia and telia formed on susceptible alternate hosts after inoculation with Cronartium spp. and 2-6 weeks of incubation prior which extracts from resistant alternate hosts and commercial extracts had been spread on the leaves as protection. In the laboratory experiment, leaf extracts from 4 resistant plant species, two commercial chemicals and three controls were sprayed at 100ppm on plant leaves floating on water plates. Two leaves per plate with 5 replicats for each plant and extract were used. Four susceptible test plants were used. One plant species was inoculated with C. ribicola and three species with C. pini after extract spreading. The coverage of uredinia and telia were estimated visually in seven coverage classes from 0-100% after 2-, 4 and 6-weeks of incubation. In the greenhouse, the same four leaf extracts from resistant alternate hosts, two commercial chemicals and two controls were sprayed at 100ppm concentration each on all leaves of two susceptible plant species, I. balsamina and P. lactiflora. Spraying of the extracts was also done for one branch of R. nigrum. After that the leaves were inoculated either with C. pini (for I. balsamina and P. lactiflora) or C. ribicola (for R. nigrum). The number of leaves with either uredinia or telia per plant was counted after 2-, 4 and 6-weeks of incubation.\n\nLeaf extracts from four rust-resistant alternate hosts, M. pratense, V. chamaedrys, I. glandulifera and R. rubrum, two commercial compounds, chlorogenic acid and quercitrin, and methanol and water controls, were sprayed on leaves of rust-susceptible alternate hosts, M. sylvaticum, I. balsamina, P. lactiflora and R. nigrum, floating on water plates in Petri dishes in the laboratory. Two leaves were layed on each plate and five plates per treatment were used. After spread of the extracts, aeciospores of C. pini were dusted on leaves of M. sylvaticum, I. balsamina and P. lactiflora, and those of C. ribicola on R. nigrum. Formation of uredinia and telia on inoculated leaves was estimated after 2-, 4- and 6-weeks of incubation. The fruiting stages have been described in Kaitera et al. 2015, Pl. Pathol. 64,738-747. The coverage of uredinia and telia on the leaves were estimated in seven classes: 0%, 1%-20%, 20%-40%, 40%-60%, 60-80%, 80-99%, 100%. In the greenhouse, eight plants of P. lactiflora and I. balsamina each were inoculated with C. pini, and eight plants of R. nigrum were inoculated with C. ribicola. Prior to inoculation, leaf extracts of four resistant alternate hosts, M. pratense, I. glandulifera, V. chamaedrys and R. rubrum, two commercial compounds, chlorogenic acid and quercitrin, and two controls, methanol and water, were sprayed on the leaves for protection. The inoculation was done by dusting spores on the leaves and incubating the plants for 24 h with a moistened plastic bag. Number of leaves with either uredinia or telia were counted after 2-, 4- and 6-weeks of incubation. A manuscript Piispanen et al. 2024 from the results is under process. \n\nThe Excel-data Laboratory experiment.xlsx contains variables: Plant species (R. nigrum, M. sylvaticum, P. lactiflora, I. balsamina), Extract (leaf extract of M. pratense, I. glandulifera, V. chamaedrys and R. rubrum, chlorogenic acid, quercitrin and three controls, water-methanol, dry control without watering and control without inoculum), Plate (nos. 1-5), Leaf (no. 1 or 2), coverage of uredinia after 2 weeks of incubation, coverage of telia after 2 weeks of incubation, coverage of uredinia after 4 weeks of incubation, coverage of telia after 4 weeks of incubation, coverage of uredinia after 6 weeks of incubation and coverage of telia after 6 weeks of incubation. The %-coverages were estimated visually in 7 classes (1-7) with coverages 0, 1-20%, 21-40%, 41-60%, 61-80%, 80-99% and 100%. \n\nThe Excel data Greenhouse experiment.xlsx contains variables: Plant species (R. nigrum, P. lactiflora, I. balsamina), Extract (leaf extract of M. pratense, I. glandulifera, V. chamaedrys and R. rubrum, chlorogenic acid, quercitrin and two controls, water-methanol and dry control without watering), Number of leaves with uredinia after incubation of 2 weeks, Number of leaves with telia after incubation of 2 weeks, Number of leaves with uredinia after incubation of 4 weeks, Number of leaves with telia after incubation of 4 weeks, Number of leaves with uredinia after incubation of 6 weeks, Number of leaves with telia after incubation of 6 weeks, Number of inoculated leaves and Infection-% (0-100%).\n\n#### Data 8: Effect of leaf extract on fruiting and sporulation of C. pini on Scots pine. \n\nThe aim of this study was to clarify, if plant extract from a rust-resistant M. pratense can reduce C. pini fruiting and sporulation on Scots pine.\n\nThe data consisted of fruiting variables of C. pini on Scots pine branches either sprayed with M. pratense extract or without treatment as control at the spraying year (2022) and one year after the treatment (2023). Another data consists of annual C. pini inventory in a experimental field in the campus area of University of Oulu. Survival and rust sporulation was estimated in 2021-23. The seedlings were inoculated either with the autoecious or heteroecious life-cycle form of C. pini.\n\nScots pine seedlings were first planted in the field around the campus of University of Oulu. The plants were inoculated with either aeciospores of C. pini (for the inoculation protocol, see Kaitera & Nuorteva. 2008, For. Ecol. Manag., 255, 973-981) or basidiospores. The basidiospores were harvested from inoculated leaves of P. anomala and P. lactiflora carrying C. pini telia to water after incubating telia on moistened filter paper on Petri dishes. Two years after inoculation the disease establishment as aecia formation on the seedlings was estimated. The inoculations resulted in only three infected seedlings in which the aecia were sprayed with leaf extract from M. pratense. Aeciospores were collected before and after spraying to morphological assessment. In addition, 20 sporulating lesions on young pines were marked in a Scots pine stand heavily infected by C. pini in Pudasjärvi. Ten of these lesions were sprayed with extract of M. pratense, while 10 lesions were left unsprayed as controls. Fruiting and sporulation of the lesions were estimated the next year after spraying. Spores were collected from aecia prior to and after spraying for microscopical morphology assessment in the laboratory. A manuscript Piispanen et al. 2024 from the results is under process.\n\nThe Excel-data Scots pine shoots_Pudasjärvi.xlsx contains information of sporulation and growth of C. pini in sporulating lesions a year after spraying of the lesions and in control lesions. The variables are: Shoot (1-10), Treatment (Control or spraying), Dead top (no/yes), Spreading (spreading along the lesion: no/yes), Sporulation (sporulation in the lesion: no/yes), Alive top (living leader of the shoot carrying the lesion: no/yes), No new sporulation (no/yes). The three Excel-data, Survival of pine seedlings_Oulu University field_2021.xlsx, Survival of pine seedlings_Oulu University field_2022.xlsx and Survival of pine seedlings_Oulu University field_2023.xlsx contain annual survival and rust infection on seedlings. The survival assesments were: Seedling and bud are alive (=OK), seedling is dead and removed (=X) and seedling carries aecia of the rust, C. pini (=R).\n\n\n### Project and funding\nRustChem project ’Bio-based products to protect Scots pine against damage due to rust fungi (41007-00195501)’, which was funded by Finnish Academy of Science and Natural Resources Institute Finland."
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"en": "Piispanen, Bergmann, Karhu, Kauppila, Kaitera: Variation of compounds in leaves of susceptible and resistant alternate hosts of Cronartium pini and C. ribicola",
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"en": "<jats:title>Abstract</jats:title><jats:p>Leaf compounds may contribute to plant defense against <jats:italic>Cronartium</jats:italic> rusts. Secondary compounds are either natural or induced in leaves. We studied the variation of compounds in leaves of six alternate hosts of <jats:italic>Cronartium pini</jats:italic> and two of <jats:italic>C. ribicola</jats:italic> that represented either susceptible or resistant species to these rusts. Extracts from the plant leaves were analyzed using LC-MSMS (liquid chromatography tandem mass spectrometry) and compounds were compared between susceptible and resistant species of the same plant genera to identify significant differences between resistant and susceptible species. Also, LC–MS (liquid chromatography mass spectrometry) with external calibration was used to quantify 12 candidate compounds known from the literature. Among these compounds, the most abundant significant ones in <jats:italic>C. pini</jats:italic> -resistant <jats:italic>Melampyrum pratense</jats:italic> were chlorogenic acid and quercitrin, in <jats:italic>Veronica chamaedrys</jats:italic> ferulic acid, quercitrin and luteolin and in <jats:italic>Impatiens glandulifera</jats:italic> quercitrin, ferulic acid, kaempferol, rutin and hyperoside. In <jats:italic>C. ribicola</jats:italic> -resistant <jats:italic>Ribes rubrum</jats:italic> the most abundant significant compounds were caffeic acid, p-coumaric acid and quercitrin. Among all extracted leaf compounds, concentrations of three compounds were over 1000 times greater in rust-resistant <jats:italic>M. pratense</jats:italic>, three compounds in <jats:italic>V. chamaedrys</jats:italic>, eight compounds in <jats:italic>I. glandulifera</jats:italic>, and one compound in <jats:italic>R. rubrum</jats:italic> than in rust-susceptible species. Among the compounds, the most promising possibly linked to rust resistance were chlorogenic acid and quercitrin.</jats:p>",
"fi": "<jats:title>Abstract</jats:title><jats:p>Leaf compounds may contribute to plant defense against <jats:italic>Cronartium</jats:italic> rusts. Secondary compounds are either natural or induced in leaves. We studied the variation of compounds in leaves of six alternate hosts of <jats:italic>Cronartium pini</jats:italic> and two of <jats:italic>C. ribicola</jats:italic> that represented either susceptible or resistant species to these rusts. Extracts from the plant leaves were analyzed using LC-MSMS (liquid chromatography tandem mass spectrometry) and compounds were compared between susceptible and resistant species of the same plant genera to identify significant differences between resistant and susceptible species. Also, LC–MS (liquid chromatography mass spectrometry) with external calibration was used to quantify 12 candidate compounds known from the literature. Among these compounds, the most abundant significant ones in <jats:italic>C. pini</jats:italic> -resistant <jats:italic>Melampyrum pratense</jats:italic> were chlorogenic acid and quercitrin, in <jats:italic>Veronica chamaedrys</jats:italic> ferulic acid, quercitrin and luteolin and in <jats:italic>Impatiens glandulifera</jats:italic> quercitrin, ferulic acid, kaempferol, rutin and hyperoside. In <jats:italic>C. ribicola</jats:italic> -resistant <jats:italic>Ribes rubrum</jats:italic> the most abundant significant compounds were caffeic acid, p-coumaric acid and quercitrin. Among all extracted leaf compounds, concentrations of three compounds were over 1000 times greater in rust-resistant <jats:italic>M. pratense</jats:italic>, three compounds in <jats:italic>V. chamaedrys</jats:italic>, eight compounds in <jats:italic>I. glandulifera</jats:italic>, and one compound in <jats:italic>R. rubrum</jats:italic> than in rust-susceptible species. Among the compounds, the most promising possibly linked to rust resistance were chlorogenic acid and quercitrin.</jats:p>",
"und": "<jats:title>Abstract</jats:title><jats:p>Leaf compounds may contribute to plant defense against <jats:italic>Cronartium</jats:italic> rusts. Secondary compounds are either natural or induced in leaves. We studied the variation of compounds in leaves of six alternate hosts of <jats:italic>Cronartium pini</jats:italic> and two of <jats:italic>C. ribicola</jats:italic> that represented either susceptible or resistant species to these rusts. Extracts from the plant leaves were analyzed using LC-MSMS (liquid chromatography tandem mass spectrometry) and compounds were compared between susceptible and resistant species of the same plant genera to identify significant differences between resistant and susceptible species. Also, LC–MS (liquid chromatography mass spectrometry) with external calibration was used to quantify 12 candidate compounds known from the literature. Among these compounds, the most abundant significant ones in <jats:italic>C. pini</jats:italic> -resistant <jats:italic>Melampyrum pratense</jats:italic> were chlorogenic acid and quercitrin, in <jats:italic>Veronica chamaedrys</jats:italic> ferulic acid, quercitrin and luteolin and in <jats:italic>Impatiens glandulifera</jats:italic> quercitrin, ferulic acid, kaempferol, rutin and hyperoside. In <jats:italic>C. ribicola</jats:italic> -resistant <jats:italic>Ribes rubrum</jats:italic> the most abundant significant compounds were caffeic acid, p-coumaric acid and quercitrin. Among all extracted leaf compounds, concentrations of three compounds were over 1000 times greater in rust-resistant <jats:italic>M. pratense</jats:italic>, three compounds in <jats:italic>V. chamaedrys</jats:italic>, eight compounds in <jats:italic>I. glandulifera</jats:italic>, and one compound in <jats:italic>R. rubrum</jats:italic> than in rust-susceptible species. Among the compounds, the most promising possibly linked to rust resistance were chlorogenic acid and quercitrin.</jats:p>"
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"en": "<jats:title>Abstract</jats:title>\n <jats:p><jats:italic>Cronartium pini</jats:italic> and <jats:italic>C. ribicola</jats:italic> are rust fungi that cause destructive diseases of pines (<jats:italic>Pinus</jats:italic> spp.). These rusts spread via alternate hosts among which <jats:italic>Melampyrum</jats:italic> spp., <jats:italic>Veronica</jats:italic> spp. and <jats:italic>Impatiens</jats:italic> spp. are important for <jats:italic>C. pini</jats:italic> and <jats:italic>Ribes</jats:italic> spp. for <jats:italic>C. ribicola</jats:italic>. Congeneric alternate hosts vary in their susceptibility to <jats:italic>Cronartium</jats:italic> rusts but the reasons for this variation are not clear. To clarify whether internal, endophytic fungi could explain these differences, we investigated the temporal and spatial variation in endophyte composition of <jats:italic>C. pini</jats:italic> -resistant <jats:italic>M. pratense</jats:italic>, <jats:italic>V. chamaedrys</jats:italic> and <jats:italic>I. glandulifera</jats:italic>, <jats:italic>C. pini</jats:italic> -susceptible <jats:italic>M. sylvaticum</jats:italic>, <jats:italic>V. longifolia</jats:italic> and <jats:italic>I. balsamina</jats:italic>, <jats:italic>C. ribicola</jats:italic> -resistant <jats:italic>R. rubrum</jats:italic> and <jats:italic>C. ribicola</jats:italic> -susceptible <jats:italic>R. nigrum</jats:italic>. In total, 2695 endophytic isolates were obtained and classified into 37 morphotypes, with 1373 cultures isolated in early summer and 1322 in late summer. Fifty-two isolates were identified by species or genus level. The most common morphotypes were identified as <jats:italic>Heterophoma</jats:italic> sp. Some variation in the abundance of morphotypes occurred among collection sites, but the same morphotypes dominated across the sites and species. The diversity of morphotypes was higher in early September than in late June in all species and the same morphotypes dominated in both early and late season. The diversity of endophytes was higher in resistant <jats:italic>Veronica</jats:italic> and <jats:italic>Ribes</jats:italic> compared to susceptible congeneric species, but the results suggest that the diversity or abundance of culturable endophytes does not explain the differences in the congeneric species’ susceptibility to rust fungi.</jats:p>",
"fi": "<jats:title>Abstract</jats:title>\n <jats:p><jats:italic>Cronartium pini</jats:italic> and <jats:italic>C. ribicola</jats:italic> are rust fungi that cause destructive diseases of pines (<jats:italic>Pinus</jats:italic> spp.). These rusts spread via alternate hosts among which <jats:italic>Melampyrum</jats:italic> spp., <jats:italic>Veronica</jats:italic> spp. and <jats:italic>Impatiens</jats:italic> spp. are important for <jats:italic>C. pini</jats:italic> and <jats:italic>Ribes</jats:italic> spp. for <jats:italic>C. ribicola</jats:italic>. Congeneric alternate hosts vary in their susceptibility to <jats:italic>Cronartium</jats:italic> rusts but the reasons for this variation are not clear. To clarify whether internal, endophytic fungi could explain these differences, we investigated the temporal and spatial variation in endophyte composition of <jats:italic>C. pini</jats:italic> -resistant <jats:italic>M. pratense</jats:italic>, <jats:italic>V. chamaedrys</jats:italic> and <jats:italic>I. glandulifera</jats:italic>, <jats:italic>C. pini</jats:italic> -susceptible <jats:italic>M. sylvaticum</jats:italic>, <jats:italic>V. longifolia</jats:italic> and <jats:italic>I. balsamina</jats:italic>, <jats:italic>C. ribicola</jats:italic> -resistant <jats:italic>R. rubrum</jats:italic> and <jats:italic>C. ribicola</jats:italic> -susceptible <jats:italic>R. nigrum</jats:italic>. In total, 2695 endophytic isolates were obtained and classified into 37 morphotypes, with 1373 cultures isolated in early summer and 1322 in late summer. Fifty-two isolates were identified by species or genus level. The most common morphotypes were identified as <jats:italic>Heterophoma</jats:italic> sp. Some variation in the abundance of morphotypes occurred among collection sites, but the same morphotypes dominated across the sites and species. The diversity of morphotypes was higher in early September than in late June in all species and the same morphotypes dominated in both early and late season. The diversity of endophytes was higher in resistant <jats:italic>Veronica</jats:italic> and <jats:italic>Ribes</jats:italic> compared to susceptible congeneric species, but the results suggest that the diversity or abundance of culturable endophytes does not explain the differences in the congeneric species’ susceptibility to rust fungi.</jats:p>",
"und": "<jats:title>Abstract</jats:title>\n <jats:p><jats:italic>Cronartium pini</jats:italic> and <jats:italic>C. ribicola</jats:italic> are rust fungi that cause destructive diseases of pines (<jats:italic>Pinus</jats:italic> spp.). These rusts spread via alternate hosts among which <jats:italic>Melampyrum</jats:italic> spp., <jats:italic>Veronica</jats:italic> spp. and <jats:italic>Impatiens</jats:italic> spp. are important for <jats:italic>C. pini</jats:italic> and <jats:italic>Ribes</jats:italic> spp. for <jats:italic>C. ribicola</jats:italic>. Congeneric alternate hosts vary in their susceptibility to <jats:italic>Cronartium</jats:italic> rusts but the reasons for this variation are not clear. To clarify whether internal, endophytic fungi could explain these differences, we investigated the temporal and spatial variation in endophyte composition of <jats:italic>C. pini</jats:italic> -resistant <jats:italic>M. pratense</jats:italic>, <jats:italic>V. chamaedrys</jats:italic> and <jats:italic>I. glandulifera</jats:italic>, <jats:italic>C. pini</jats:italic> -susceptible <jats:italic>M. sylvaticum</jats:italic>, <jats:italic>V. longifolia</jats:italic> and <jats:italic>I. balsamina</jats:italic>, <jats:italic>C. ribicola</jats:italic> -resistant <jats:italic>R. rubrum</jats:italic> and <jats:italic>C. ribicola</jats:italic> -susceptible <jats:italic>R. nigrum</jats:italic>. In total, 2695 endophytic isolates were obtained and classified into 37 morphotypes, with 1373 cultures isolated in early summer and 1322 in late summer. Fifty-two isolates were identified by species or genus level. The most common morphotypes were identified as <jats:italic>Heterophoma</jats:italic> sp. Some variation in the abundance of morphotypes occurred among collection sites, but the same morphotypes dominated across the sites and species. The diversity of morphotypes was higher in early September than in late June in all species and the same morphotypes dominated in both early and late season. The diversity of endophytes was higher in resistant <jats:italic>Veronica</jats:italic> and <jats:italic>Ribes</jats:italic> compared to susceptible congeneric species, but the results suggest that the diversity or abundance of culturable endophytes does not explain the differences in the congeneric species’ susceptibility to rust fungi.</jats:p>"
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],
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"name": "Paula Alanen",
"email": "<hidden>",
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},
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"pref_label": {
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"und": "Tampereen yliopisto"
},
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],
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},
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}
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}
},
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}
}
],
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"fi": "suomi",
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}
}
],
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},
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}
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},
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}
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}
],
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}
}
],
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},
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},
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"data_catalog": "urn:nbn:fi:att:data-catalog-harvest-kielipankki",
"description": {
"en": "This resource will be available in the Language Bank of Finland.\n\nThe resource contains about 10 million geolocated tweets from the Nordic region, time span January 2013 until May 2023, collected through the Academic API that was more recently closed down. The georegion consists of the five Nordic countries and there are messages in over 70 languages, the largest shares being Swedish, English, Finnish, Danish and Norwegian.",
"fi": "Tämä aineisto on tulossa saataville Kielipankkiin.\n\nAineisto sisältää noin 10 miljoonaa Pohjoismaiden alueelle geopaikannettua tviittiä tammikuusta 2013 toukokuuhun 2023 saakka. Tviitit kerättiin akateemisen APIn kautta, joka on sittemmin suljettu. Tviittien paikkatiedon mukainen alue koostuu viidestä Pohjoismaasta ja mukana on viestejä yli 70 kielellä, joista suurimmat osuudet ovat ruotsia, englantia, suomea, tanskaa ja norjaa."
},
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"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
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}
}
],
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},
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]
}
