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Institution

Forest Research Institute

FacilityDehra 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.


Papers
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Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
Milan Chytrý1, Lubomír Tichý1, Stephan M. Hennekens, Ilona Knollová1, John Janssen, John S. Rodwell, Tomáš Peterka1, Corrado Marcenò1, Flavia Landucci1, Jiří Danihelka1, Michal Hájek1, Jürgen Dengler2, Jürgen Dengler3, Pavel Novák1, Dominik Zukal1, Borja Jiménez-Alfaro4, Ladislav Mucina5, Ladislav Mucina6, Sylvain Abdulhak, Svetlana Aćić7, Emiliano Agrillo, Fabio Attorre8, Erwin Bergmeier9, Idoia Biurrun10, Steffen Boch, János Bölöni, Gianmaria Bonari1, Gianmaria Bonari11, Tatiana Braslavskaya12, Helge Bruelheide13, Juan Antonio Campos10, Andraž Čarni14, Andraž Čarni15, Laura Casella, Mirjana Ćuk16, Renata Ćušterevska, Els De Bie17, Pauline Delbosc18, Olga N. Demina, Yakiv Didukh19, Daniel Dítě20, Tetiana Dziuba19, Jörg Ewald, Rosario G. Gavilán21, Jean Claude Gégout22, Gianpietro Giusso del Galdo23, Valentin Golub12, Nadezhda Goncharova12, Friedemann Goral9, Ulrich Graf, Adrian Indreica24, Maike Isermann25, Ute Jandt13, Florian Jansen26, Jan B.M.J. Jansen27, Anni Jašková1, Martin Jiroušek1, Martin Jiroušek28, Zygmunt Kącki29, Veronika Kalníková1, Ali Kavgaci30, Larisa Khanina31, Andrey Yu. Korolyuk12, Mariya Kozhevnikova32, Anna Kuzemko19, Anna Kuzemko1, Filip Küzmič15, Oleg L. Kuznetsov12, Māris Laiviņš33, I. A. Lavrinenko12, O. V. Lavrinenko12, Maria Vladimirovna Lebedeva12, Zdeňka Lososová1, Tatiana Lysenko12, Lise Maciejewski22, Lise Maciejewski34, Constantin Mardari35, Aleksander Marinšek, Maxim G. Napreenko36, Viktor Onyshchenko19, Aaron Pérez-Haase37, Aaron Pérez-Haase38, Remigiusz Pielech39, Vadim Prokhorov32, Valerijus Rašomavičius, Maria Pilar Rodríguez Rojo, Solvita Rūsiņa40, Joachim Schrautzer41, Jozef Šibík20, Urban Šilc15, Željko Škvorc42, Viktor A. Smagin12, Zvjezdana Stančić42, Angela Stanisci43, Elena B. Tikhonova12, Tiina Tonteri, Domas Uogintas, Milan Valachovič20, Kiril Vassilev44, Denys Vynokurov19, Denys Vynokurov1, Wolfgang Willner45, S. M. Yamalov12, Douglas Evans, Mette Palitzsch Lund46, Rania Spyropoulou46, Eleni Tryfon46, Joop H.J. Schaminée 
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

Journal ArticleDOI
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

Journal ArticleDOI
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

NameH-indexPapersCitations
Kari Alitalo174817114231
Jaakko Kaprio1631532126320
Glenn D. Prestwich8869042758
John K. Volkman7821221931
Petri T. Kovanen7743227171
Hailong Wang6964719652
Mika Ala-Korpela6531918048
Heikki Henttonen6427114536
Zhihong Xu5743811832
Kari Pulkki5421511166
Louis A. Schipper531929224
Sang Young Lee532719917
Young-Joon Ahn522889121
Venkatesh Narayanamurti492589399
Francis M. Kelliher491248599
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
202226
2021504
2020503
2019440
2018381