Optimizing Plant Growth Model Parameters for Genetic Selection Based on QTL Mapping

Letort, Voronique; Mahe, Paul; Cournède, Paul-Henry; Reffye, Philippe de; Courtois, B.

doi:10.1109/pma.2006.35

Cited by 2 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, quantitative trait loci (QTL) are often only detected under a limited set of environmental conditions (Zhou et al, 2007). Combining both approaches has therefore been proposed to overcome these issues (Letort et al, 2008;Bourke et al, 2021;Gu, 2022). When combining both approaches together, a number of factors must be addressed.…”

Section: Combined Approachesmentioning

confidence: 99%

The role of the ideotype in future agricultural production

Carbajal-Friedrich,

Burgess

2024

Front. Plant Physiol.

View full text Add to dashboard Cite

The crop ideotype was first defined by Donald in 1968 as an idealised structural model of a plant which can theoretically attain maximum yield quantity and quality within a given environment. Many of the major crop species have proposed ideotypes. For example, in wheat (Triticum aestivum), suggested characteristics include a short strong stem, few erect, small leaves and large ears. Breeding for crop ideotypes is a continuous process as beneficial traits are updated to match current needs. Government organisations such as the Agriculture and Horticulture Development Board (AHDB) in the United Kingdom, publish a recommended list of varieties each year, and so we hypothesise that these recommended varieties will express traits of the ideotype. However, through greenhouse experiments, we show that three recent AHDB recommended wheat varieties differ to that of the ideotype and to each other. This either indicates that the concept may not be universal, or the main target for breeding programmes; that traits may not have successfully been bred yet; or, that other conflicting reasons may be preventing the expression of the ideotype. To this end, we review the factors that may influence plant structure before discussing new tools and methods that can aid ideotype design. Through this paper, we argue that whilst there are benefits to the concept of the ideotype, the ‘power’ of the concept is lost when integrating the multitude of factors that, in combination, determine plant structure and function in a given environment. Nevertheless, regardless of these limitations, we argue that there is still a role for the ideotype in crop breeding, but that this concept needs to be expanded to emphasise the genetic and environmental interactions that influence plant physiology.

show abstract

Section: Combined Approachesmentioning

confidence: 99%

The role of the ideotype in future agricultural production

Carbajal-Friedrich,

Burgess

2024

Front. Plant Physiol.

View full text Add to dashboard Cite

show abstract

Application of the GreenLab model to simulate and optimize wood production and tree stability: a theoretical study

Qi¹,

Letort²,

Kang³

et al. 2009

Silva Fenn.

View full text Add to dashboard Cite

Qi, R., Letort, V., Kang, M., Cournède, P-H., de Reffye, P. & Fourcaud, T. 2009. Application of the GreenLab model to simulate and optimize wood production and tree stability: a theoretical study. Silva Fennica 43(3): 465-487.The GreenLab model was used to study the interaction between source-sink dynamics at the whole tree level, wood production and distribution within the stem, and tree mechanical stability through simulation and optimization. In this first promising numerical attempt, two GreenLab parameters were considered in order to maximize wood production: the sink strength for cambial growth and a coefficient that determines the way the biomass assigned to cambial growth is allocated to each metamer, through optimization and simulation respectively. The optimization procedure that has been used is based on a heuristic optimization algorithm called Particle Swarm Optimization (PSO). In the first part of the paper, wood production was maximized without considering the effect of wood distribution on tree mechanical stability. Contrary to common idea that increasing sink strength for cambial growth leads to increasing wood production, an optimal value can be found. The optimization results implied that an optimal source and sink balance should be considered to optimize wood production. In a further step, the mechanical stability of trees submitted to their self weight was taken into account based on simplified mechanical assumptions. Simulation results revealed that the allocation of wood at the stem base strongly influenced its global deformation. Such basic mechanical criterion can be an indicator of wood quality if we consider further the active biomechanical processes involved in tree gravitropic responses, e.g. formation of reaction wood.

show abstract

Optimizing Plant Growth Model Parameters for Genetic Selection Based on QTL Mapping

Cited by 2 publications

References 20 publications

The role of the ideotype in future agricultural production

The role of the ideotype in future agricultural production

Application of the GreenLab model to simulate and optimize wood production and tree stability: a theoretical study

Contact Info

Product

Resources

About