Model assisted phenotyping and ideotype design

Martre, Pierre, Quilot-Turion, Benedicte, Luquet, Delphine, Ould-Sidi Memmah, Mohammed-Mahmoud, Chenu, Karine and Debaeke, Philippe (2015). Model assisted phenotyping and ideotype design. In Victor Sadras and Daniel Calderini (Ed.), Crop physiology: applications for genetic improvement and agronomy 2nd ed. (pp. 349-373) London, United Kingdom: Academic Press. doi:10.1016/B978-0-12-417104-6.00014-5

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Author Martre, Pierre
Quilot-Turion, Benedicte
Luquet, Delphine
Ould-Sidi Memmah, Mohammed-Mahmoud
Chenu, Karine
Debaeke, Philippe
Title of chapter Model assisted phenotyping and ideotype design
Title of book Crop physiology: applications for genetic improvement and agronomy
Place of Publication London, United Kingdom
Publisher Academic Press
Publication Year 2015
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1016/B978-0-12-417104-6.00014-5
Open Access Status
Year available 2014
Edition 2nd
ISBN 9780124171046
Editor Victor Sadras
Daniel Calderini
Chapter number 14
Start page 349
End page 373
Total pages 25
Total chapters 20
Collection year 2015
Language eng
Abstract/Summary By formalizing traits as the result of genotypic and environmental effects and the relations among traits, ecophysiological models (or process-based models) provide a platform for integrative analyses of trait impacts on whole-plant and crop phenotypes. Over the past two decades, model development has been increasingly driven by the need to account for genotypic differences across environments, and improvements in this area have developed around well-defined traits such as leaf elongation, early vigor and flowering time. Process-based models are now increasingly used to define and characterize crop environments at various scales and help breeding programs take advantage of G × E interactions. Ecophysiological models are also used to assist plant phenotyping and could provide necessary links between controlled-conditions phenotyping and plant performance in the field. The integration of genetic controls in ecophysiological models has allowed analysis of the genetic control of phenotypic plasticity across wide ranges of environments, and the G × E × M space is now explored using efficient algorithms to find ideotypes optimizing many antagonist criteria. This later approach lies in finding combinations of values of the genetic and agronomic parameters that best satisfy the pre-defined objectives, but it is currently limited by the lack of quantitative relationships between genes and model parameters. Considerable efforts are still needed to develop robust links between genetic controls, physiological determinants and traits relevant to breeders.
Keyword Ecophysiological models
Breeding programs
G × E interactio
Crop environments
Q-Index Code B1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online ahead of print 25 September 2014.

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Created: Wed, 04 Feb 2015, 19:25:37 EST by Dr Karine Chenu on behalf of Centre for Plant Science