Cerasuolo M, Richter G M, Richard B, Cunniff J, Girbau S, Shield I, Purdy S, Karp A
Sustainable Soils and Grassland Systems Department, Rothamsted Research, Harpenden, Herts AL5 2JQ, UK.
Sustainable Soils and Grassland Systems Department, Rothamsted Research, Harpenden, Herts AL5 2JQ, UK
J Exp Bot. 2016 Feb;67(3):961-77. doi: 10.1093/jxb/erv507. Epub 2015 Dec 10.
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.
识别关键性能性状对于阐明作物生长过程和育种至关重要。在柳树属植物中,正利用基因型多样性来培育新品种以克服环境对产量的限制。基于过程的模型可以通过识别不同基因型×环境(G×E)组合的产量形成关键参数来助力这些工作。在此,对在不同环境(英国西部和东南部)种植的四个商业柳树品种,在两个2年轮作期内对其生长性状进行了密集采样。开发了一个源库相互作用模型,以参数化生长期间源(碳捕获/调动)和库形成(形态发生、碳分配)的平衡。全局敏感性分析始终确定,茎伸长开始时的日长是产量形成的最重要因素,其次是各种“库>源”控制参数。在沿海气候条件下,与更靠东的气候相比,芽萌发的低温控制更为重要。在英国东南部和西部,对干旱的敏感性,包括冠层大小和生根深度,可能会限制生长。从第一轮作到第二轮作,潜在产量有所增加,但阔叶品种的增幅小于窄叶品种(分别为20%和47%),阔叶品种最初的定植情况较差(-19%)。第一轮作期间的干旱使定植情况变得复杂,对阔叶冠层表型的影响大于窄叶冠层表型(-29%)。分析强调低光强下的量子效率是同化的关键;然而,平均而言,库参数比源参数更重要。用这个新的过程模型描述的G×E配对将有助于识别未来柳树育种的源库控制参数。