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70 results for “Populus nigra”

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zenodo44/100

Herbarium specimen image of Populus nigra L., part of the collection of Natural History Museum, University of Tartu

Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published. Content of this deposition: - A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values. - A JPEG image file of the scanned herbarium sheet. - A lossless TIFF image from which the JPEG image has been derived.

opencc-zeroNov 2018View details →

zenodo40/100

Text-fig. 11. a, b: Coriaria aff. myrtifolia. a: Oriolo MSF 647. b: Oriolo MSF 704. c, d: Populus aff. alba. c: Oriolo MSF 745. d: Oriolo MSF 725. e: Populus aff. tremula Oriolo MSF 749. f–h: Populus aff. nigra. f: Oriolo MSF 737. g: Oriolo MSF 742. h: Oriolo MSF 738. Scale bars 10 mm (a–d), 50 mm (e–h). in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome

Text-fig. 11. a, b: Coriaria aff. myrtifolia. a: Oriolo MSF 647. b: Oriolo MSF 704. c, d: Populus aff. alba. c: Oriolo MSF 745. d: Oriolo MSF 725. e: Populus aff. tremula Oriolo MSF 749. f–h: Populus aff. nigra. f: Oriolo MSF 737. g: Oriolo MSF 742. h: Oriolo MSF 738. Scale bars 10 mm (a–d), 50 mm (e–h).

opencc-by-4.0Aug 2022View details →

zenodo40/100

Proteomic data set of the analysis of black poplar (Populus nigra L.) seed storability

Proteomic data set containing protein identification parameters (ESI MS/MS) and GO annotation functional classification (UniProt and QuickGO). Identification parameters of differentially abundant proteins of black poplar (Populus nigra L.) seeds stored in different temperature (3, -3, -20 and -196°C) and time (12 and 24 months) conditions. Proteins were extracted and separated according to their isoelectric point (pI) and mass using 2-dimensional electrophoresis. Proteins that varied in abundance for temperature and time of storage were identified by mass spectrometry (ESI MS/MS). The mascot search algorithm (http://www.matrixscience.com) was used for protein identification against the NCBInr (http://www.ncbi.nig.gov) databases.Identified proteins were grouped due to biological process, molecular function and subcellular localization according to the gene ontology (GO) annotation using UniProt database and QuickGO search (https://www.ebi.ac.uk/QuickGO/).

opencc-by-4.0Jul 2019View details →

dryad40/100

How to achieve a higher selection plateau in forest tree breeding? Fostering heterozygote x homozygote relationships in optimal contribution selection in the case study of Populus nigra

In breeding, Optimal Contribution Selection (OCS) is one of the most effective strategies to balance short- and long-term genetic responses, by maximizing genetic gain and minimizing global coancestry. Considering genetic diversity in the selection dynamic – through coancestry – is undoubtedly the reason for the success of OCS, as it avoids intial loss of favorable alleles. Originally formulated with the pedigree relationship matrix, global coancestry can nowadays be assessed with one of the possible formulations of the realized genomic relationship matrix. Most formulations were optimized for genomic evaluation, but few for the management of coancestry. We introduce here an alternative formulation specifically developed for Genomic OCS (GOCS), intended to better control heterozygous loci, and thus better account for Mendelian sampling. We simulated a multi-generation breeding program with mate allocation and under GOCS for twenty generations, solved with quadratic programming. With the case study of Populus nigra, we have shown that, although the dynamic was mainly determined by the trade-off between genetic gain and genetic diversity, better formulations of the genomic relationship matrix, especially those fostering individuals carrying multiple heterozygous loci, can lead to better short-term genetic gain and a higher selection plateau.

opencc-zeroSep 2021View details →

zenodo40/100