Results 11 to 20 of about 333 (116)

EuroPineDB: a high-coverage web database for maritime pine transcriptome [PDF]

open access: yesBMC Genomics, 2011
Background Pinus pinaster is an economically and ecologically important species that is becoming a woody gymnosperm model. Its enormous genome size makes whole-genome sequencing approaches are hard to apply. Therefore, the expressed portion of the genome
Cantón Francisco R   +16 more
doaj   +7 more sources

Phytochemical characterization of phloem in maritime pine and stone pine in three sites in Portugal [PDF]

open access: yesHeliyon, 2021
This study analyzes the content and chemical profile of extractives present in the young phloem of mature trees of maritime pine (Pinus pinaster) and stone pine (P. pinea) in three sites in Portugal located in different climatic environments. The cross-sites average of extractives was similar in both pines with 38.5% in P.
Rita Simões   +4 more
openaire   +5 more sources

Maritime Pine Genomics in Focus

open access: yes, 2022
The advent of next-generation genome sequencing technologies has allowed approaching the sequencing and analysis of large and complex conifer genomes. Maritime pine (Pinus pinaster Ait.) is an economically and ecologically important conifer species widely distributed in South-West Europe, which shows a significant genetic and adaptive variability. This
Sterck, Lieven   +42 more
openaire   +4 more sources

Rootstock effects on scion gene expression in maritime pine [PDF]

open access: yesScientific Reports, 2021
Abstract Pines are the dominant conifers in Mediterranean forests. As long-lived sessile organisms that seasonally have to cope with drought periods, they have developed a variety of adaptive responses. However, during last decades, highly intense and long-lasting drought events could have contributed to decay and
M. López-Hinojosa   +11 more
openaire   +4 more sources

Genomic selection in maritime pine

open access: yesPlant Science, 2016
A two-generation maritime pine (Pinus pinaster Ait.) breeding population (n=661) was genotyped using 2500 SNP markers. The extent of linkage disequilibrium and utility of genomic selection for growth and stem straightness improvement were investigated. The overall intra-chromosomal linkage disequilibrium was r(2)=0.01.
Isik, Fikret   +7 more
openaire   +4 more sources

Pinus pinea: a natural barrier for the insect vector of the pine wood nematode?

open access: yesAnnals of Forest Science, 2022
Key message In mixed stands of Pinus pinaster and Pinus pinea, fewer insect vectors of the pinewood nematode (PWN) were captured than in pure P. pinaster stands.
Inge van Halder   +4 more
doaj   +1 more source

Silvicultural evaluations on maritime pine (Pinus pinaster Aiton) plantations in Istanbul

open access: yesİstanbul Üniversitesi Orman Fakültesi Dergisi, 2016
Industrial plantations have substantially reduced the pressure on natural forests. There are approximately 80.000 hectares of industrial plantations, established with fast growing coniferous species, 77.000 hectares of which are maritime pine plantations
Safa Balekoğlu, Aytekin Ertaş
doaj   +1 more source

Unraveling the Effect of Fire Seasonality on Fire-Preferred Fuel Types and Dynamics in Alto Minho, Portugal (2000–2018)

open access: yesFire, 2023
Socio-demographic changes in recent decades and fire policies centered on fire suppression have substantially diminished the ability to maintain low fuel loads at the landscape scale in marginal lands.
Emanuel Oliveira   +3 more
doaj   +1 more source

Technical and Economical Evaluations of Maritime Pine Plantations in Western Black Sea Region of Turkey

open access: yesForestist, 2012
In this study, technical and economical evaluations of the maritime pine (Pinus pinaster Aiton.) plantations, established at Bartın-Karaçaydere between the years of 1979 and 1984, were made.
Korhan Tunçtaner   +3 more
doaj   +1 more source

Neural network modelling of rainfall interception in four different forest stands [PDF]

open access: yesAnnals of Forest Research, 2013
The objective of this study is to reveal whether it is possible to predict rainfall, through fall and stem flow in forest ecosystems with less effort, using several measurements of rainfall interception (hereafter ‘interception’) and an artificial neural
İbrahim Yurtseven, Mustafa Zengin
doaj   +3 more sources

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