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A quantitative approach to characterize sink-source relationships during grain filling in contrasting wheat genotypes

机译:定量分析不同基因型小麦籽粒灌浆过程中库源关系的定量方法

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We present a simple generic framework to quantify source-sink relationships during grain filling, by using a determinate growth function which has a unique property, namely being able of explicitly describing the time for the end of a growth process. This model framework was applied to analyze these relationships in plants of six wheat (Triticum aestivum L.) genotypes grown in pots in climate-controlled greenhouses under two temperature regimes (dayight: 20/15 and 25/20pC). The function accurately described the sigmoid pattern of grain growth (sink activity), as its modified form did for the reversed sigmoid shape of flag-leaf area (source capacity), during grain filling. The six genotypes differed significantly in grain number as well as in grain yield, ranging from 54 to 81 grains and from 2.67 to 4.52g DM per culm, respectively, when grown at 20/15pC. Biomass and grain yield were significantly reduced by a rise of 5pC. Grain nitrogen contents raised from 2.1 to 2.6% as a consequence of less carbon accumulation resulting in lower grain weights at the high temperature. On average, a rise of 5pC in temperature reduced the duration of grain growth by 12 days (>30%), and increased the growth rate from 1.32 to 1.67mggrainp# dp# (20%). Genotypic differences in grain-filling duration were also larger than in rate of grain growth. The genetic variation in the flag-leaf area duration (a proxy for the capacity for intercepting radiation and photosynthesis) was positively associated with sink size. Model analysis showed that whether or not the timing for the cessation of grain filling and for the end of post-anthesis source activity was synchronized depended on temperature. The quantitative approach yielded parameters that characterize genotypic differences of post-anthesis source and sink capacity in responding to environmental variables.
机译:我们通过使用具有独特属性的确定的生长函数,即能够明确描述生长过程结束的时间,提出了一个简单的通用框架,用于量化谷物填充过程中的源库关系。该模型框架被用于分析在两个温度条件下(白天/夜晚:20/15和25 / 20pC)在气候受控温室的盆中生长的六种小麦(Triticum aestivum L.)基因型的植物之间的关系。该函数准确地描述了谷物生长的S形图案(下沉活动),因为它的修改形式对谷物填充过程中旗叶区域的反S形形状(源容)进行了处理。当以20 / 15pC生长时,这6个基因型在籽粒数量和产量上有显着差异,分别为54至81个籽粒和2.67至4.52g DM /茎。 5pC的升高显着降低了生物量和谷物产量。由于较少的碳积累,导致高温下较低的晶粒重量,晶粒的氮含量从2.1提高到2.6%。平均而言,温度升高5pC可使谷物生长的持续时间缩短12天(> 30%),并使生长速率从1.32mg / g(dp#)增加至1.67mg(20%)。籽粒灌浆持续时间的基因型差异也大于籽粒生长速率。旗叶区域持续时间的遗传变异(代表辐射和光合作用的拦截能力)与水池大小呈正相关。模型分析表明,是否停止灌浆和花后来源活动结束的时间是否同步取决于温度。定量方法产生的参数表征了花期后源和库容量对环境变量的响应的基因型差异。

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