Institution
Forest Research Institute
Facility•Dehra Dūn, India•
About: Forest Research Institute is a facility organization based out in Dehra Dūn, India. It is known for research contribution in the topics: Population & Forest management. The organization has 5320 authors who have published 7625 publications receiving 185876 citations.
Topics: Population, Forest management, Picea abies, Forest ecology, Scots pine
Papers published on a yearly basis
Papers
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TL;DR: Data show that polyphenolic parenchyma cells are active in synthesis, storage, and modification of phenolics in response to wounding, providing an important site of constitutive and inducible defenses.
Abstract: The bark anatomy of Norway spruce clones that were resistant or susceptible to Ceratocystis polonica, a bark-beetle-vectored fungal pathogen, was compared. The major difference concerned the axial parenchyma cells, called polyphenolic parenchyma (PP cells) because of their vacuolar deposits. The phenolic nature of the deposits was indicated by autofluorescence under blue light, and immunocytochemical studies demonstrating PP cells are enriched in phenylalanine ammonia lyase (EC 4.3.1.5), a key enzyme in phenolic synthesis. Susceptible-clone PP cells occurred as single rows filled with dense deposits. The resistant clone had 40% more PP cells, which occurred in rows two cells thick plus as individual cells scattered among the sieve cells and had lighter deposits. Trees inoculated with fungus were analyzed but a distinct fungal response could not be separated from the general wound response. In the resistant clone, phenolic bodies were reduced in size and density or disappeared completely 12 d after wounding, and PP cell size increased. The susceptible-clone phenolics and cell size changed only slightly. These data show that PP cells are active in synthesis, storage, and modification of phenolics in response to wounding, providing an important site of constitutive and inducible defenses.
153 citations
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TL;DR: In this article, the authors investigated microbial denitrification in an organic riparian zone and identified factors which regulated its rate and found that up to 77% of the variation in on-site denitification rate could be explained by nitrate concentration and denitrifying enzyme activity.
Abstract: We investigated microbial denitrification in an organic riparian zone and identified factors which regulated its rate. The riparian zone received nitrate from incoming groundwater draining an upslope forest which was spray irrigated with treated effluent. Soil cores were taken from the riparian zone and the following variables were measured: KCl-extracted nitrate, water soluble carbon concentration, organic matter content, moisture content, denitrifying enzyme activity, on-site denitrification rates and natural N 2 O production. Five sampling surveys were made at a range of field temperatures (12–21°C). The riparian soil was continually water-saturated and contained an average organic matter content of 26%. Nitrate concentration in groundwater entering the upslope edge of the riparian zone was generally greater than 5 mg N l −1 . In combination, these factors resulted in an ideal environment for denitrification. Mean and median denitrification rates were found to be 1.12 and 0.95g N m −2 day −1 ; while mean and median N 2 O production rates were 73 and 84 mg N m −2 day −1 These rates were 1–3 orders of magnitude greater than those reported in previous studies of upland soils. Up to 77% of the variation in on-site denitrification rate could be explained by nitrate concentration and denitrifying enzyme activity. Temperature may also have regulated the rate of denitrification; however, insufficient observations at different temperatures were made to fully establish a temperature effect. N 2 O production was found to be most highly correlated to on-site denitrification rate. Rates of denitrifying enzyme activity were also greater than those generally found in upland soils, the mean and median rates were 810 and 740 ng N g −1 h −1
153 citations
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Masaryk University1, University of Bayreuth2, Zurich University of Applied Sciences/ZHAW3, Spanish National Research Council4, Murdoch University5, Stellenbosch University6, University of Belgrade7, Sapienza University of Rome8, University of Göttingen9, University of the Basque Country10, Free University of Bozen-Bolzano11, Russian Academy of Sciences12, Martin Luther University of Halle-Wittenberg13, University of Nova Gorica14, Slovenian Academy of Sciences and Arts15, University of Novi Sad16, Research Institute for Nature and Forest17, University of Western Brittany18, National Academy of Sciences of Ukraine19, Slovak Academy of Sciences20, Complutense University of Madrid21, University of Lorraine22, University of Catania23, Transilvania University of Brașov24, University of Bremen25, University of Rostock26, Radboud University Nijmegen27, Mendel University28, University of Wrocław29, Karabük University30, Keldysh Institute of Applied Mathematics31, Kazan Federal University32, Forest Research Institute33, Centre national de la recherche scientifique34, Alexandru Ioan Cuza University35, Shirshov Institute of Oceanology36, University of Vic37, University of Barcelona38, University of Agriculture, Faisalabad39, University of Latvia40, University of Kiel41, University of Zagreb42, University of Molise43, Bulgarian Academy of Sciences44, University of Vienna45, European Environment Agency46
TL;DR: This article developed the classification expert system EUNIS-ESy, which assigns vegetation plots to European habitats based on their species composition and geographic location. But the system is not suitable for outdoor gardening.
Abstract: EUNIS Habitat Classification is a standard classification of European habitats. We developed the classification expert system EUNIS‐ESy, which assigns vegetation plots to EUNIS habitats based on their species composition and geographic location. We classified 1,261,373 vegetation plots from the European Vegetation Archive and determined characteristic species combinations and prepared distribution maps for 199 habitats at Level 3 of EUNIS hierarchy.
153 citations
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TL;DR: Results suggest that the metabolic engineering of E. senticosus to enhance production of phytosterols and triterpenoids by introducing the PgSS1 gene was successfully achieved by Agrobacterium-mediated genetic transformation.
153 citations
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TL;DR: A biolistic particle delivery system was used to genetically transform embryogenic tissue of Pinus radiata, using a uidA reporter gene under the control of either the tandem CaMV 35S or the artificial Emu promoter, and the npt II selectable marker controlled by the CaMv 35S promoter.
Abstract: A biolistic particle delivery system was used to genetically transform embryogenic tissue of Pinus radiata. The introduced DNA contained a uidA reporter gene under the control of either the tandem CaMV 35S or the artificial Emu promoter, and the npt II selectable marker controlled by the CaMV 35S promoter. The average number of stable, geneticin-resistant lines recovered was 0.5 per 200 mg fresh weight bombarded tissue. Expression of the uidA reporter gene was detected histochemically and fluorimetrically in transformed embryogenic tissue and in derived mature somatic embryos and regenerated plants. The integration of uidA and npt II genes into the Pinus radiata genome was demonstrated using PCR amplification of the inserts and Southern hybridisation analysis. The expression of both genes in transformed tissue was confirmed by Northern hybridisation analysis. More than 150 transgenic Pinus radiata plants were produced from 20 independent transformation experiments with four different embryogenic clones.
153 citations
Authors
Showing all 5332 results
Name | H-index | Papers | Citations |
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Kari Alitalo | 174 | 817 | 114231 |
Jaakko Kaprio | 163 | 1532 | 126320 |
Glenn D. Prestwich | 88 | 690 | 42758 |
John K. Volkman | 78 | 212 | 21931 |
Petri T. Kovanen | 77 | 432 | 27171 |
Hailong Wang | 69 | 647 | 19652 |
Mika Ala-Korpela | 65 | 319 | 18048 |
Heikki Henttonen | 64 | 271 | 14536 |
Zhihong Xu | 57 | 438 | 11832 |
Kari Pulkki | 54 | 215 | 11166 |
Louis A. Schipper | 53 | 192 | 9224 |
Sang Young Lee | 53 | 271 | 9917 |
Young-Joon Ahn | 52 | 288 | 9121 |
Venkatesh Narayanamurti | 49 | 258 | 9399 |
Francis M. Kelliher | 49 | 124 | 8599 |