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Single-seed oxygen consumption measurements and population-based threshold models link respiration and germination rates under diverse conditions

机译:单种子耗氧量测量和基于人群的阈值模型将多种条件下的呼吸和发芽率联系起来

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Seed germination is responsive to diverse environmental, hormonal and chemical signals. Germination rates (i.e. speed and distribution in time) reveal information about timing, uniformity and extent of germination in seed populations and are sensitive indicators of seed vigour and stress tolerance. Population-based threshold (PBT) models have been applied to describe germination responses to temperature, water potential, hormones, ageing and oxygen. However, obtaining detailed data on germination rates of seed populations requires repeated observations at frequent times to construct germination time courses, which is labour intensive and often impractical. Recently, instruments have been developed to measure repeatedly the respiration (oxygen consumption) of individual seeds following imbibition, providing complete respiratory time courses for populations of individual seeds in an automated manner. In this study, we demonstrate a new approach that enables the use of single-seed respiratory data, rather than germination data, to characterize the responses of seed populations to diverse conditions. We applied PBT models to single-seed respiratory data and compared the results to similar analyses of germination time courses. We found consistent and quantitatively comparable relationships between seed respiratory and germination patterns in response to temperature, water potential, abscisic acid, gibberellin, respiratory inhibitors, ageing and priming. This close correspondence between seed respiration and germination time courses enables the use of semi-automated respiratory measurements to assess seed vigour and quality parameters. It also raises intriguing questions about the fundamental relationship between the respiratory capacities of seeds and the rates at which they proceed toward completion of germination.
机译:种子发芽是对多种环境,激素和化学信号的响应。发芽率(即速度和时间分布)揭示了有关种子种群发芽的时间,均匀性和程度的信息,并且是种子活力和胁迫耐受性的敏感指标。基于人口的阈值(PBT)模型已用于描述发芽对温度,水势,激素,衰老和氧气的响应。然而,获得有关种子种群发芽率的详细数据需要频繁观察以构建发芽时间过程,这是劳动密集型的并且通常是不切实际的。近来,已经开发出用于在吸收之后重复测量单个种子的呼吸(耗氧)的仪器,以自动化的方式为单个种子的种群提供完整的呼吸时间进程。在这项研究中,我们演示了一种新方法,该方法可以使用单种子呼吸数据而不是发芽数据来表征种子种群对不同条件的响应。我们将PBT模型应用于单种子呼吸数据,并将结果与​​萌发时间过程的类似分析进行了比较。我们发现响应温度,水势,脱落酸,赤霉素,呼吸抑制剂,衰老和启动,种子呼吸和发芽模式之间存在一致且在数量上可比的关系。种子呼吸和发芽时间进程之间的这种紧密对应关系使得可以使用半自动呼吸测量来评估种子活力和质量参数。它还对种子的呼吸能力与种子完成发芽的速率之间的基本关系提出了有趣的问题。

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