Closing the gap between phenotyping and genotyping: review of advanced, image-based phenotyping technologies in forestry

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F22%3A92926" target="_blank" >RIV/60460709:41320/22:92926 - isvavai.cz</a>

Result on the web

<a href="https://annforsci.biomedcentral.com/articles/10.1186/s13595-022-01143-x" target="_blank" >https://annforsci.biomedcentral.com/articles/10.1186/s13595-022-01143-x</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s13595-022-01143-x" target="_blank" >10.1186/s13595-022-01143-x</a>

Result language

angličtina

Original language name

Closing the gap between phenotyping and genotyping: review of advanced, image-based phenotyping technologies in forestry

Original language description

Key message The lack of efficient phenotyping capacities has been recognized as a bottleneck in forestry phenotyping and breeding. Modern phenotyping technologies use systems equipped with various imaging sensors to automatically collect high volume phenotypic data that can be used to assess trees various attributes. Context Efficient phenotyping has the potential to spark a new Green Revolution, and it would provide an opportunity to acquire growth parameters and dissect the genetic bases of quantitative traits. Phenotyping platforms aim to link information from several sources to derive knowledge about trees attributes. Aims Various tree phenotyping techniques were reviewed and analyzed along with their different applications. Methods This article presents the definition and characteristics of forest tree phenotyping and reviews newly developed imaging-based practices in forest tree phenotyping. Results This review addressed a wide range of forest trees phenotyping applications, including a survey

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

40102 - Forestry

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Annals of Forest Science

ISSN

1286-4560

e-ISSN

—

Volume of the periodical

79

Issue of the periodical within the volume

1

Country of publishing house

FR - FRANCE

Number of pages

21

Pages from-to

1-21

UT code for WoS article

000792623500001

EID of the result in the Scopus database

2-s2.0-85129735612