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

机译:单种子氧气消耗测量和基于人口的阈值模型在不同条件下链接呼吸和发芽率

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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:种子萌发对不同的环境,激素和化学信号进行了响应。发芽率(即速度和分布及时)揭示了种子群体中萌发的定时,均匀性和程度的信息,是种子活力和胁迫耐受性的敏感指标。已施用基于人口的阈值(PBT)模型来描述对温度,水势,激素,老化和氧气的发芽响应。然而,获得种子种群的发芽率的详细数据需要在频繁的时间内进行重复观察,以构建萌发时间课程,这是劳动密集型和经常是不切实际的。最近,已经开发出仪器以反复测量,在吸入后反复测量个体种子的呼吸(氧气消耗),为自动态度提供用于个体种子种群的完整呼吸时间课程。在这项研究中,我们展示了一种新的方法,使得能够使用单种子呼吸系统数据而不是发芽数据来表征种子群体对不同条件的反应。我们将PBT模型应用于单种子呼吸数据,并将结果与​​萌发时间课程的类似分析进行了比较。我们在响应温度,水势,脱落酸,赤霉素,呼吸抑制剂,老化和引发方面发现了种子呼吸和萌发模式之间的一致和定量的可比关系。种子呼吸和萌发时间课程之间的这种紧密对应能够使用半自动呼吸测量来评估种子活力和质量参数。它还提出了有关种子呼吸能力与他们进行萌发完成的率之间的基本关系的兴趣问题。

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