Literature DB >> 30217472

Phenotyping Whole Forests Will Help to Track Genetic Performance.

Heidi S Dungey1, Jonathan P Dash2, David Pont2, Peter W Clinton3, Michael S Watt3, Emily J Telfer2.   

Abstract

Phenotyping is the accurate and precise physical description of organisms. Accurate and quantitative phenotyping underpins the delivery of benefits from genetic improvement programs in agriculture. In forest trees, phenotyping at an equivalent precision has been impossible because trees and forests are large, long-lived, and highly variable. These facts have restricted the delivery of genetic gains in forestry compared to other agricultural sectors. We describe a landscape-scale phenotyping platform that integrates remote sensing, spatial information systems, and genomics to facilitate the delivery of greater gains enabling forestry to catch up with other sectors. Combining remote sensing at a range of spatial and temporal scales with genomics will ultimately impact on tree breeding globally.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  forest modelling; genetic gains; phenotyping; remote-sensing

Mesh:

Year:  2018        PMID: 30217472     DOI: 10.1016/j.tplants.2018.08.005

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  10 in total

1.  The GenTree Platform: growth traits and tree-level environmental data in 12 European forest tree species.

Authors:  Lars Opgenoorth; Benjamin Dauphin; Raquel Benavides; Katrin Heer; Paraskevi Alizoti; Elisabet Martínez-Sancho; Ricardo Alía; Olivier Ambrosio; Albet Audrey; Francisco Auñón; Camilla Avanzi; Evangelia Avramidou; Francesca Bagnoli; Evangelos Barbas; Cristina C Bastias; Catherine Bastien; Eduardo Ballesteros; Giorgia Beffa; Frédéric Bernier; Henri Bignalet; Guillaume Bodineau; Damien Bouic; Sabine Brodbeck; William Brunetto; Jurata Buchovska; Melanie Buy; Ana M Cabanillas-Saldaña; Bárbara Carvalho; Nicolas Cheval; José M Climent; Marianne Correard; Eva Cremer; Darius Danusevičius; Fernando Del Caño; Jean-Luc Denou; Nicolas di Gerardi; Bernard Dokhelar; Alexis Ducousso; Anne Eskild Nilsen; Anna-Maria Farsakoglou; Patrick Fonti; Ioannis Ganopoulos; José M García Del Barrio; Olivier Gilg; Santiago C González-Martínez; René Graf; Alan Gray; Delphine Grivet; Felix Gugerli; Christoph Hartleitner; Enja Hollenbach; Agathe Hurel; Bernard Issehut; Florence Jean; Veronique Jorge; Arnaud Jouineau; Jan-Philipp Kappner; Katri Kärkkäinen; Robert Kesälahti; Florian Knutzen; Sonja T Kujala; Timo A Kumpula; Mariaceleste Labriola; Celine Lalanne; Johannes Lambertz; Martin Lascoux; Vincent Lejeune; Gregoire Le-Provost; Joseph Levillain; Mirko Liesebach; David López-Quiroga; Benjamin Meier; Ermioni Malliarou; Jérémy Marchon; Nicolas Mariotte; Antonio Mas; Silvia Matesanz; Helge Meischner; Célia Michotey; Pascal Milesi; Sandro Morganti; Daniel Nievergelt; Eduardo Notivol; Geir Ostreng; Birte Pakull; Annika Perry; Andrea Piotti; Christophe Plomion; Nicolas Poinot; Mehdi Pringarbe; Luc Puzos; Tanja Pyhäjärvi; Annie Raffin; José A Ramírez-Valiente; Christian Rellstab; Dourthe Remi; Sebastian Richter; Juan J Robledo-Arnuncio; Sergio San Segundo; Outi Savolainen; Silvio Schueler; Volker Schneck; Ivan Scotti; Vladimir Semerikov; Lenka Slámová; Jørn Henrik Sønstebø; Ilaria Spanu; Jean Thevenet; Mari Mette Tollefsrud; Norbert Turion; Giovanni Giuseppe Vendramin; Marc Villar; Georg von Arx; Johan Westin; Bruno Fady; Tor Myking; Fernando Valladares; Filippos A Aravanopoulos; Stephen Cavers
Journal:  Gigascience       Date:  2021-03-18       Impact factor: 6.524

Review 2.  Quantitative Genetics and Genomics Converge to Accelerate Forest Tree Breeding.

Authors:  Dario Grattapaglia; Orzenil B Silva-Junior; Rafael T Resende; Eduardo P Cappa; Bárbara S F Müller; Biyue Tan; Fikret Isik; Blaise Ratcliffe; Yousry A El-Kassaby
Journal:  Front Plant Sci       Date:  2018-11-22       Impact factor: 5.753

3.  Spatial Models With Inter-Tree Competition From Airborne Laser Scanning Improve Estimates of Genetic Variance.

Authors:  David Pont; Heidi S Dungey; Mari Suontama; Grahame T Stovold
Journal:  Front Plant Sci       Date:  2021-01-07       Impact factor: 5.753

4.  Within and combined season prediction models for perennial ryegrass biomass yield using ground- and air-based sensor data.

Authors:  Phat T Nguyen; Fan Shi; Junping Wang; Pieter E Badenhorst; German C Spangenberg; Kevin F Smith; Hans D Daetwyler
Journal:  Front Plant Sci       Date:  2022-08-08       Impact factor: 6.627

5.  Generating Douglas-fir Breeding Value Estimates Using Airborne Laser Scanning Derived Height and Crown Metrics.

Authors:  Francois du Toit; Nicholas C Coops; Blaise Ratcliffe; Yousry A El-Kassaby
Journal:  Front Plant Sci       Date:  2022-07-14       Impact factor: 6.627

Review 6.  Strategic roadmap to assess forest vulnerability under air pollution and climate change.

Authors:  Alessandra De Marco; Pierre Sicard; Zhaozhong Feng; Evgenios Agathokleous; Rocio Alonso; Valda Araminiene; Algirdas Augustatis; Ovidiu Badea; James C Beasley; Cristina Branquinho; Viktor J Bruckman; Alessio Collalti; Rakefet David-Schwartz; Marisa Domingos; Enzai Du; Hector Garcia Gomez; Shoji Hashimoto; Yasutomo Hoshika; Tamara Jakovljevic; Steven McNulty; Elina Oksanen; Yusef Omidi Khaniabadi; Anne-Katrin Prescher; Costas J Saitanis; Hiroyuki Sase; Andreas Schmitz; Gabriele Voigt; Makoto Watanabe; Michael D Wood; Mikhail V Kozlov; Elena Paoletti
Journal:  Glob Chang Biol       Date:  2022-06-21       Impact factor: 13.211

7.  Effect of trait's expression level on single-step genomic evaluation of resistance to Dothistroma needle blight.

Authors:  Jaroslav Klápště; Heidi S Dungey; Natalie J Graham; Emily J Telfer
Journal:  BMC Plant Biol       Date:  2020-05-11       Impact factor: 4.215

8.  Forest-Scale Phenotyping: Productivity Characterisation Through Machine Learning.

Authors:  Maxime Bombrun; Jonathan P Dash; David Pont; Michael S Watt; Grant D Pearse; Heidi S Dungey
Journal:  Front Plant Sci       Date:  2020-03-06       Impact factor: 5.753

9.  Cyberinfrastructure and resources to enable an integrative approach to studying forest trees.

Authors:  Jill L Wegrzyn; Taylor Falk; Emily Grau; Sean Buehler; Risharde Ramnath; Nic Herndon
Journal:  Evol Appl       Date:  2019-11-03       Impact factor: 5.183

10.  Multi-trait genomic selection for weevil resistance, growth, and wood quality in Norway spruce.

Authors:  Patrick R N Lenz; Simon Nadeau; Marie-Josée Mottet; Martin Perron; Nathalie Isabel; Jean Beaulieu; Jean Bousquet
Journal:  Evol Appl       Date:  2019-06-20       Impact factor: 5.183

  10 in total

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