Prediction of the extractives content of <i>Eucalyptus globulus</i> wood using NIR-based PLS-R models. Influence of spectral range and preprocessing on the percentage of outliers detected

Simões, Rita; Alves, Ana; Pathauer, P. S.; Palazzini, D. A.; Marcuci-Poltri, S. N.; Rodrigues, José Carlos

doi:10.1080/02773813.2022.2096072

Cited by 1 publication

(1 citation statement)

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“…The second example is based on the use of NIRS which is widely used for phenotyping in plants and animals (Alamu et al 2021, Bresolin & Dórea 2020. NIRS has been applied in forest trees for evaluation of wood lignin properties, wood density, as well as other wood properties such as extractives (Alves et al 2020, Schimleck et al 1999, Simões et al 2022 or even for forecasting the susceptibility of ash to biotic stressors like chalara (Villari et al 2018). The term "phenomic selection" was coined by Rincent et al (2018) to describe the use of NIRS as a high-throughput, inexpensive, and non-destructive tech-iForest 17: 45-58…”

Section: Phenotyping Toolsmentioning

confidence: 99%

Prospects for evolution in European tree breeding

Fugeray-Scarbel,

Bouffier,

Lemarié

et al. 2024

iForest

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Genetically improved forest reproductive materials are now widely accessible in many European countries due to decades of continuous breeding efforts. Tree breeding does not only contribute to higher-value end products but allows an increase in the rate of carbon capture and sequestration, helping to mitigate the effects of climate change. The usefulness of breeding programmes depends on (i) the relevance of the set of selected traits and their relative weights (growth, drought tolerance, phenology, etc.); (ii) the explicit management of targeted and "neutral" diversity; (iii) the genetic gain achieved; and (iv) the efficiency of transferring diversity and gain to the plantation. Several biological factors limit both operational breeding and mass reproduction. To fully realise the potential of tree breeding, the introduction of new technologies and concepts is pivotal for overcoming these constraints. We reviewed several European breeding programmes, examining their current status and factors that are likely to influence tree breeding in the coming decades. The synthesis was based on case studies developed for the European Union-funded B4EST project, which focused on eight economically important tree species with breeding histories and intensities ranging from low-input breeding (stone pine, Douglas-fir and ash) to more complex programmes (eucalyptus, maritime pine, Norway spruce, poplar, and Scots pine). Tree breeding for these species is managed in a variety of ways due to differences in species' biology, breeding objectives, and economic value. Most programmes are managed by governmental institutes with full or partial public support because of the relatively late return on investment. Eucalyptus is the only tree species whose breeding is entirely sponsored and managed by a private company. Several new technologies have emerged for both phenotyping and genotyping. They have the potential to speed up breeding processes and make genetic evaluations more accurate, thereby reducing costs and increasing genetic gains per unit of time. In addition, genotyping has allowed the explicit control of genetic diversity in selected populations with great precision. The continuing advances in tree genomics are expected to revolutionise tree breeding by moving it towards genomic-based selection, a perspective that requires new types of skills that are not always available in the institutions hosting the programmes. We therefore recognise the importance of promoting coordination and collaboration between the many groups involved in breeding. Climate change is expected to bring in new pests and diseases and increase the frequency of extreme weather events such as late frosts and prolonged droughts. Such stresses will

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