Kinetic and electrophoretic characterization of NADP dependent dehydrogenases from root tissues of Norway spruce [Picea abies (L.) Karst.] employing a rapid one-step extraction procedure

Trees ◽  
1994 ◽  
Vol 8 (4) ◽  
Author(s):  
Martin Guttenberger ◽  
Christoph Schaeffer ◽  
R�diger Hampp

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381
Author(s):  
J Gabaston ◽  
T Richard ◽  
B Biais ◽  
P Waffo-Teguo ◽  
MF Corio-Costet ◽  
...  




Genetika ◽  
2015 ◽  
Vol 47 (3) ◽  
pp. 849-861 ◽  
Author(s):  
Vladislava Galovic ◽  
Mirjana Sijacic-Nikolic ◽  
Robert Safhauzer ◽  
Dijana Cortan ◽  
Sasa Orlovic

The knowledge of genetic diversity degree of given species is of great importance for the successful process of breeding and genetic conservation. The aim of conducted research was to determine the genetic differentiation of Norway spruce (Picea abies (L.) Karst) genotypes with very specific narrow pyramidal and normal crown type, which grows at different altitude of the mountain Golija. For assessment of genetic similarities or differences between studied genotypes co-dominant microsatellite system had been used. This system has proven to be reliable and efficient in the genetic characterization of plant species. In total 22 primer sets have been tested, while 16 (73%) of them resulted in the successful yield of the amplified product. The analysis show that studied individuals had in total 130 alleles, in average 8.125 polymorphic alleles per each locus. The lowest polymorphism was detected in the locus EATC1D10, EATC1F03B and EATC2G09, while the highest level of polymorphism was detected in EATC2G08. Based on microsatellite date and similarity matrix, cluster analysis dendrogram indicates existence of the vertical differentiation of studied genotypes, which is consistent with results of previous Norway spruce studies.





2011 ◽  
Vol 4 (1) ◽  
Author(s):  
Silvia Fluch ◽  
Agnes Burg ◽  
Dieter Kopecky ◽  
Andreas Homolka ◽  
Nadine Spiess ◽  
...  


1993 ◽  
Vol 103 (4) ◽  
pp. 1479-1480 ◽  
Author(s):  
S. Bauer ◽  
H. Galliano ◽  
F. Pfeiffer ◽  
B. Mebner ◽  
H. Sandermann Jr ◽  
...  


2003 ◽  
Vol 107 (3) ◽  
pp. 574-580 ◽  
Author(s):  
D. Bastien ◽  
J. M. Favre ◽  
A. M. Collignon ◽  
C. Sperisen ◽  
S. Jeandroz




2019 ◽  
Vol 15 (2) ◽  
pp. 69-84 ◽  
Author(s):  
Oksana Pelyukh ◽  
Alessandro Paletto

Abstract Stakeholder analysis is a crucial step in the participatory process to involve all groups of interests in sustainable forest management. This paper aims to develop a method of stakeholder analysis to identify and classify stakeholders involved in secondary Norway spruce (Picea abies (L.) Karst.) stand conversions. The method is based on a questionnaire survey and structured into three stages: (1) stakeholder identification; (2) analytical characterization of stakeholders; and (3) stakeholder aggregation. Stakeholders are classified according to their interest level and importance while considering the relationships among them (social network analysis). Stakeholder analysis is applied in the Ukrainian Carpathians, which is characterized by cultural and economic dependence on forest resources. The results highlight seven “supporters” and six “opponents” as well as three key stakeholders and four primary stakeholders. We propose involving up to three stakeholders from each homogeneous group to balance stakeholder contributions and enhance the democratization of the forest conversion decision-making process.



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