2015
DOI: 10.1093/jxb/erv507
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Development of a sink–source interaction model for the growth of short-rotation coppice willow andin silicoexploration of genotype×environment effects

Abstract: HighlightThe process-based model LUCASS gave insights into the sink–source control of willow growth, identifying key parameters and predicting the performance of contrasting canopy phenotypes in different environments.

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Cited by 17 publications
(17 citation statements)
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“…Interestingly, our simulation study revealed an important range of LAI for comparable levels of assimilation, which opens the path for defining new ideotypes by integrating further functional processes already developed in oil palm, such as carbon partitioning and retroactions between functioning and growth (Pallas et al, 2013a, b). Indeed, studies exploring several functioning processes have highlighted the importance of biomass partitioning in yield variability (Lecoeur et al, 2011;Cerasuolo et al, 2016;Koester et al, 2014).…”
Section: Perspectives For Oil Palm Breeding and Managementmentioning
confidence: 62%
“…Interestingly, our simulation study revealed an important range of LAI for comparable levels of assimilation, which opens the path for defining new ideotypes by integrating further functional processes already developed in oil palm, such as carbon partitioning and retroactions between functioning and growth (Pallas et al, 2013a, b). Indeed, studies exploring several functioning processes have highlighted the importance of biomass partitioning in yield variability (Lecoeur et al, 2011;Cerasuolo et al, 2016;Koester et al, 2014).…”
Section: Perspectives For Oil Palm Breeding and Managementmentioning
confidence: 62%
“…If establishment of willow stimulated soil organic matter turnover, and mineralized N was taken up and stored in litter and belowground biomass, the surplus scenario seems plausible. However, the question remains whether or not the harvesting of stems stimulates a reduction in belowground biomass (Berhongaray et al ., ; Cerasuolo et al ., ), which could result in N losses after harvest (Dimitriou et al ., ). Hangs et al .…”
Section: Nitrogen Requirements and Fertilization Recommendationsmentioning
confidence: 99%
“…/j.ecolmodel.2016.008 0304-3800/© 2016 Elsevier B.V. All rights reserved. 2016; Cerasuolo et al, 2016), i.e., by the set of model inputs that are not investigated by the SA but define the simulation scenario. This pushed Stearns (1992) to the point of stating that model sensitivity is situational.…”
Section: Introductionmentioning
confidence: 99%