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Development of a sink-source interaction model for the growth of short-rotation coppice willow and in silico exploration of genotype?environment effects

机译:短轮转小柳柳生长的库-源相互作用模型的开发以及基因型-环境效应的计算机分析

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摘要

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
机译:确定关键性能特征对于阐明作物生长过程和育种至关重要。在柳属物种中,正在利用基因型多样性来定制新品种,以克服环境产量的限制。基于过程的模型可以通过识别不同基因型-环境(G?E)组合的产量形成的关键参数来协助这些工作。在这里,对两个在相反环境下生长的商业柳树品种(英国西部和东南部)进行了两次为期2年轮换的密集采样。开发了一个汇-源相互作用模型,以参数化生长过程中的源平衡(碳捕获/移动)和汇形成(形态发生,碳分配)。全球敏感性分析一致地将茎伸长开始的日长确定为产量形成的最重要因素,其次是各种“汇>源”控制参数。与沿海地区相比,在沿海气候下,芽萌芽的冷害控制等级更高。对干旱的敏感性(包括冠层大小和生根深度)可能会限制英国东南部和西部的生长。从第一轮到第二轮,潜在产量增加,但宽叶品种的收成要低于窄叶品种(分别为20%和47%),后者最初建立得不好(-19%)。该机构在第一次轮班期间因干旱而感到困惑,影响范围广泛,而不是窄叶冠层表型(-29%)。分析强调低吸收强度下的量子效率是吸收的关键。但是,平均而言,接收器参数比源参数更重要。用这种新的过程模型描述的G?E配对将有助于识别将来的柳树育种的汇源控制参数。

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