Genetic variation among and within Quercus suber L. populations in survival, growth, vigor and plant architecture traits

Sampaio, Teresa; Gonçalves, Elsa; Faria, Carla; Almeida, Maria Helena

doi:10.1016/j.foreco.2020.118715

Cited by 6 publications

(1 citation statement)

References 47 publications

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“…This can be achieved using a pedigree-based relationship matrix from a family-structured population, relying on data from progeny trials evaluated across sites and years. Although the cork oak progeny trials established in 1998 [10] are a valuable tool to obtain estimations of cork oak genetic parameters [11], trees in these trials are still too young to allow reproduction and cork assessments. In fact, industrial valuable cork can only be obtained from the third extraction cycle onwards, usually from trees over 40 years old.…”

Section: Introductionmentioning

confidence: 99%

Kinship Analysis and Pedigree Reconstruction of a Natural Regenerated Cork Oak (Quercus suber) Population

Mendes

Sampaio

Antunes

et al. 2022

Forests

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Cork oak (Quercus suber L.) is a valuable forest species in the western Mediterranean Basin due to its ecological value and the production of cork (a renewable natural material). Cork quality depends on the genetic background and cork oak environment, which has long been recognized. As no cork oak genetic trials with pedigree information were available, the inference of the genetic relatedness between individuals from molecular markers can potentially be applied to natural populations. This work aimed to investigate the potential of performing kinship prediction and pedigree reconstruction by SNP genotyping a natural cork oak population. A total of 494 trees located in Portugal were genotyped with 8K SNPs. The raw SNP set was filtered differently, producing four SNP sets that were further filtered by missing data, genotype frequency, and minor allele frequency. For each set, an identity by descent (IBD) matrix was generated to perform the relationship prediction, revealing from 22,114 to 23,859 relationships. Familial categories from the first to the third degree were able to be assigned. The feasibility of SNP genotyping for future studies on the kinship analysis and pedigree reconstruction of cork oak populations was demonstrated. The information produced may be used in further breeding and conservation programs for cork oak.

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Section: Introductionmentioning

confidence: 99%

Kinship Analysis and Pedigree Reconstruction of a Natural Regenerated Cork Oak (Quercus suber) Population

Mendes

Sampaio

Antunes

et al. 2022

Forests

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Genetic diversity and population structure of Tunisian wild Kermes oak (Quercus coccifera L.): Assessment by ISSR molecular markers and implication for conservation

et al. 2022

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How do soil and topographic drivers determine tree diameter spatial distribution in even aged cork oak stands installed in average to high productivity areas

Firmino,

Paulo,

Lourenço

et al. 2024

New Forests

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Local terrain or microsite conditions influence the development of trees, particularly at early ages. These conditions might be described by edaphic or topographic variables. We mapped soil and topographic variables from four even-aged and even-spaced cork oak plantations located in two climatically distinct Portuguese regions. The major goal of this research was to understand the relation between soil and topographic fine-scale conditions and tree growth expressed by diameter without cork annual growth (idu). The methodology consisted in (1) analysing the spatial variability and autocorrelation of idu; (2) modelling idu with ordinary least squares (OLS) regressions; (3) comparing with spatial modelling of idu, incorporating spatial autocorrelation. The driest stands A and B, exhibited weaker spatial autocorrelation, distributed in smaller clusters (R2 < 0.03, OLS models), while stands C (R2 = 0.18, OLS models) and D (R2 = 0.11, OLS models) showed higher predictive capacity. Spatial models increased R2 scores, keeping most variables from OLS models and accounting for spatial autocorrelation. A + B + C + D OLS model obtained an R2 = 0.34 and respective spatial model R2 = 0.58. Apparent electrical conductivity at 0.5 (ECa0.5) and 1 m of soil depth, slope, elevation and topography position index were included as predictors (OLS), but only ECa0.5, slope and elevation were selected in the spatial model. Models were fitted using average to high productivity stands and should be used cautiously outside this range. Local terrain conditions determine the growth of young cork oak trees. Mapping soil and topographic variables before establishing new plantations may identify limiting microsite conditions where using cork oak species is not suitable due to low growth rates expectations.

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Genetic variation among and within Quercus suber L. populations in survival, growth, vigor and plant architecture traits

Cited by 6 publications

References 47 publications

Kinship Analysis and Pedigree Reconstruction of a Natural Regenerated Cork Oak (Quercus suber) Population

Kinship Analysis and Pedigree Reconstruction of a Natural Regenerated Cork Oak (Quercus suber) Population

Genetic diversity and population structure of Tunisian wild Kermes oak (Quercus coccifera L.): Assessment by ISSR molecular markers and implication for conservation

How do soil and topographic drivers determine tree diameter spatial distribution in even aged cork oak stands installed in average to high productivity areas

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