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Switchgrass (Panicum virgatum L.) intraspecific variation and temperature tolerance classification using in vitro seed germination assay.

机译:柳枝((Panicum virgatum L.)种内变异和温度耐受性分类,采用了体外种子萌发试验。

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摘要

An experiment was conducted to determine temperature effects on switchgrass seed germination, a native species with feedstock potential for the biofuel industry. Stratified seeds were germinated at constant temperatures, 15 to 45°C with 5°C interval. Maximum seed germination (MSG) and germination rate (GR), estimated by fitting sigmoid function to germination-time series data, varied among genotypes. Quadratic and bilinear models best described the MSG and GR responses to temperature, respectively. The mean cardinal temperatures, minimum, optimum and maximum, were 8.1, 26.6 and 45.1°C for MSG and 11.1, 33.1 and 46.0°C for GR, respectively, varied among genotypes. Genotypes were classified for temperature tolerance based on cumulative temperature response index: 'Summer' and 'Expresso' were identified as the most heat- and cold-tolerant genotypes, respectively. The functional algorithms and identified tolerant genotypes may be used to improve switchgrass models for field applications and breeding programs to develop new genotypes with enhanced tolerance for niche environments.
机译:进行了一项实验,以确定温度对柳枝seed种子发芽的影响,柳枝seed种子的发芽对生物燃料产业具有潜在的原料潜力。分层种子在15至45°C的恒定温度下以5°C的间隔发芽。通过将S形函数拟合到发芽时间序列数据中估算的最大种子发芽量(MSG)和发芽率(GR)在基因型之间有所不同。二次和双线性模型分别最好地描述了MSG和GR对温度的响应。 MSG的最低,最高和最高平均平均温度分别为8.1、26.6和45.1摄氏度,而GR的平均主要温度分别为11.1、33.1和46.0摄氏度,随基因型的不同而不同。根据累积的温度响应指数对基因型进行温度耐受性分类:“夏季”和“表达型”分别被确定为最耐高温和耐冷的基因型。功能算法和确定的耐受基因型可用于改进野草和育种程序的柳枝models模型,以开发对利基环境具有更高耐受性的新基因型。

著录项

  • 作者

    Seepaul, Ramdeo.;

  • 作者单位

    Mississippi State University.;

  • 授予单位 Mississippi State University.;
  • 学科 Agriculture Agronomy.
  • 学位 M.S.
  • 年度 2010
  • 页码 105 p.
  • 总页数 105
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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