Within- and between-tree variation of wood density components in Pinus nigra at six sites in Portugal

Dias, Alexandra; Gaspar, Maria João; Carvalho, Ana; Pires, Joana; Lima-Brito, José; Silva, Maria Emília; Lousada, J.

doi:10.1007/s13595-018-0734-6

Cited by 23 publications

(32 citation statements)

References 53 publications

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“…1, indicating a reliable clustering. Despite presenting different average ages (Table 1; Dias et al 2018), the populations of Manteigas, V. Zêzere, Campeã and P. Coura showed high genetic similarity (Figs. 1, 2a).…”

Section: Resultsmentioning

confidence: 99%

“…Needles were sampled on a total of 127 P. nigra individuals randomly selected in six populations that were dendrometrically characterized by Dias et al (2018) (Table 1).…”

Section: Methodsmentioning

confidence: 99%

“…Pinus nigra Arnold has high ecological and economic importance and its distribution ranges from Southern Europe, Asia Minor, Corsica and Sicily islands, and NW Africa (Afzal-Rafii and Dodd 2007;Rubio Moraga et al 2012;Dias et al 2018). The discontinuous distribution resulted in populations with high genetically variability (Scaltsoyiannes et al 1994;Afzal-Rafii and Dodd 2007) which raised taxonomic issues and various revisions of the P. nigra infraspecific taxonomy (Akkemik et al 2010).…”

Section: Introductionmentioning

confidence: 99%

“…The Portuguese P. nigra populations were planted 50-to 90-years ago (Dias et al 2018) with plant material of unknown origin and infraspecific taxonomy. Different molecular markers, including the ISSRs, have been used to characterize P. nigra populations (Liber et al 2003;Naydenov et al 2006;Afzal-Rafii and Dodd 2007;Rubio Moraga et al 2012;Lucas Borja et al 2013;Candel Pérez 2014;Š arac et al 2015;Bonavita et al 2016;Giovannelli et al 2017).…”

Section: Introductionmentioning

confidence: 99%

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Genetic characterization of Portuguese allochthonous populations of Pinus nigra using ISSRs and SCoTs and extrapolation of their infraspecific taxonomy

Dias

Lemos

Pavia

et al. 2019

Physiol Mol Biol Plants

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The Pinus nigra distribution in Portugal is restricted to six allochthonous populations with unknown origin and infraspecific taxonomy. This work intends to evaluate their genetic diversity, structure and relationships, and to infer about their infraspecific taxonomy by comparing molecular patterns produced by inter-simple sequence repeat and Start Codon Targeted markers among Portuguese and foreign samples with known taxonomy and provenance. 127 Portuguese P. nigra individuals were clustered per population. The genetic differentiation was higher within rather than among populations. The pooled molecular data indicated high genetic proximity among the Portuguese and foreign samples of subspecies laricio. However, the separate analysis per marker system demonstrated that two varieties of subspecies laricio (corsicana and calabrica) may have been used in the plantations of the Portuguese P. nigra stands performed in the last century. The genetic characterization and extrapolation of the intraspecific taxonomy of these populations provide useful information for forest management, afforestation and germplasm use.

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Section: Resultsmentioning

confidence: 99%

“…Needles were sampled on a total of 127 P. nigra individuals randomly selected in six populations that were dendrometrically characterized by Dias et al (2018) (Table 1).…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Genetic characterization of Portuguese allochthonous populations of Pinus nigra using ISSRs and SCoTs and extrapolation of their infraspecific taxonomy

Dias

Lemos

Pavia

et al. 2019

Physiol Mol Biol Plants

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“…Core sampling has been widely used to estimate wood density profiles and demonstrated to play a very important role in performing early selection and shortening the breeding cycle as well as improving the breeding efficiency (Bouffier et al 2008;Gaspar et al 2009;Meder et al 2010;Pan et al 2018). Genetic analysis of density components of Pinus pinaster, Pinus nigra and Pinus sylvestris showed that the earlywood density is under stronger and most stable genetic control and consequently most suitable to be included in selection and improvement programs (Louzada and Fonseca 2002;Louzada 2003;Gaspar et al 2008aGaspar et al , b, 2009Gaspar et al , 2011Fernandes et al 2017a,b;Dias et al 2018). However, for larch, similar heritabilities were found for earlywood and latewood (Pâques et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Improving spatial synchronization between X-ray and near-infrared spectra information to predict wood density profiles

et al. 2020

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Wood density is one of the most important physical properties of the wood, used in improvement programs for wood quality of major timber species. Traditional core sampling of standing trees has been widely used to assess wood density profiles at high spatial resolution by X-ray microdensitometry methods, but alternative methods to predict wood properties quality are also needed. Near-infrared (NIR) spectroscopy, a non-destructive technique, is being increasingly used for wood property assessment and has already been demonstrated to be able to predict wood density. However, the estimation of wood density profiles by NIR has not yet been extensively studied, and improved models using spectra information (NIR) and X-ray data need to be developed. To this end, partial least square regression (PLS-R) models for predicting wood density were developed at a 1.4 mm spatial resolution on Pinus pinaster wood cores, with an improved spatial synchronization along the tangential and radial directions of the strip, between X-ray data and NIR spectra. The validation of the best model showed a high coefficient of determination (0.95), low error (0.026) and no outlier. Compression wood samples were not detected as outliers and were correctly predicted by the model. However, pith spectra were detected as outliers and its predicted values were overestimated by 33% due to unusual spectra suggesting a diverse chemical composition. The results suggest that NIR-PLS models obtained can be used for screening maritime pine wood density profiles along the radii at 1.4 mm spatial resolution. Ana Alves and Andrea Hevia have contributed equally to this work and should be regarded as cofirst authors.

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Effects of environment and genotype on growth traits in poplar clones in Northeast China

Jiang

Pei

et al. 2021

Euphytica

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Within- and between-tree variation of wood density components in Pinus nigra at six sites in Portugal

Cited by 23 publications

References 53 publications

Genetic characterization of Portuguese allochthonous populations of Pinus nigra using ISSRs and SCoTs and extrapolation of their infraspecific taxonomy

Genetic characterization of Portuguese allochthonous populations of Pinus nigra using ISSRs and SCoTs and extrapolation of their infraspecific taxonomy

Improving spatial synchronization between X-ray and near-infrared spectra information to predict wood density profiles

Effects of environment and genotype on growth traits in poplar clones in Northeast China

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