title: Development of a sink-source interaction model for the growth of short-rotation coppice willow and in silico exploration of genotype×environment effects.
abstract: Identifying key performance traits is essential for elucidating crop growth processes and breeding. In Salix spp., genotypic diversity is being exploited to tailor new varieties to overcome environmental yield constraints. Process-based models can assist these efforts by identifying key parameters of yield formation for different genotype×environment (G×E) combinations. Here, four commercial willow varieties grown in contrasting environments (west and south-east UK) were intensively sampled for growth traits over two 2-year rotations. A sink-source interaction model was developed to parameterize the balance of source (carbon capture/mobilization) and sink formation (morphogenesis, carbon allocation) during growth. Global sensitivity analysis consistently identified day length for the onset of stem elongation as most important factor for yield formation, followed by various 'sink>source' controlling parameters. In coastal climates, the chilling control of budburst ranked higher compared with the more eastern climate. Sensitivity to drought, including canopy size and rooting depth, was potentially growth limiting in the south-east and west of the UK. Potential yields increased from the first to the second rotation, but less so for broad- than for narrow-leaved varieties (20 and 47%, respectively), which had established less well initially (-19%). The establishment was confounded by drought during the first rotation, affecting broad- more than narrow-leaved canopy phenotypes (-29%). The analysis emphasized quantum efficiency at low light intensity as key to assimilation; however, on average, sink parameters were more important than source parameters. The G×E pairings described with this new process model will help to identify parameters of sink-source control for future willow breeding.
authors.affiliation: Sustainable Soils and Grassland Systems Department, Rothamsted Research, Harpenden, Herts AL5 2JQ, UK.
authors.forename: M
authors.initials: M
authors.lastname: Cerasuolo
authors.affiliation: Sustainable Soils and Grassland Systems Department, Rothamsted Research, Harpenden, Herts AL5 2JQ, UK goetz.richter@rothamsted.ac.uk.
authors.forename: G M
authors.initials: GM
authors.lastname: Richter
authors.affiliation: Sustainable Soils and Grassland Systems Department, Rothamsted Research, Harpenden, Herts AL5 2JQ, UK.
authors.forename: B
authors.initials: B
authors.lastname: Richard
authors.affiliation: Agroecology Department, Rothamsted Research, Harpenden, Herts AL5 2JQ, UK.
authors.forename: J
authors.initials: J
authors.lastname: Cunniff
authors.affiliation: Agroecology Department, Rothamsted Research, Harpenden, Herts AL5 2JQ, UK.
authors.forename: S
authors.initials: S
authors.lastname: Girbau
authors.affiliation: Agroecology Department, Rothamsted Research, Harpenden, Herts AL5 2JQ, UK.
authors.forename: I
authors.initials: I
authors.lastname: Shield
authors.affiliation: Institute of Biological Environmental and Rural Sciences (IBERS), Aberystwyth University, Plas Gogerddan, Aberystwyth, Ceredigion SY23 3EE, UK.
authors.forename: S
authors.initials: S
authors.lastname: Purdy
authors.affiliation: Agroecology Department, Rothamsted Research, Harpenden, Herts AL5 2JQ, UK.
authors.forename: A
authors.initials: A
authors.lastname: Karp
mesh_terms: D000383:Agriculture; D018533:Biomass; D002138:Calibration; D003198:Computer Simulation; D004777:Environment; D005838:Genotype; D008027:Light; D008685:Meteorological Concepts; D008954:Models, Biological; D018547:Plant Stems / Q000033:anatomy & histology / Q000528:radiation effects; D015203:Reproducibility of Results; D032108:Salix / Q000254:growth & development* / Q000528:radiation effects
keywords: Carbon allocation; Salix; genotype; modelling; sensitivity analysis; sink–source interaction.