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Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
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生物再生生命支持系统中的小米:超重力弹性和预测性产量模型

Tatiana S Aniskina1, Arkady N Kudritsky2, Olga A Shchuklina1

  • 1N.V. Tsitsin Main Botanical Garden of Russian Academy of Sciences, 127276 Moscow, Russia.

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概括

对于太空农业来说, 小米是有前途的, 因为超重力没有影响其产量. 预测模型是为了自动化作物种植和优化长期太空任务的粮食生产而开发的.

关键词:
这种植物的特点是:生物再生生命支持系统分离离心发芽时间超重力苗木的发展产量组成部分收益率建模

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科学领域:

  • 天体生物学
  • 植物科学
  • 农业工程

背景情况:

  • 可持续的粮食生产对于远程太空探索至关重要.
  • 作为太空生物生命支持系统的潜在作物,

研究的目的:

  • 评估小米在生物生命支持系统中的生存能力.
  • 开发小米产量预测模型,以自动化种植.

主要方法:

  • 在发芽过程中评估小米对高重力的反应 (8003000g).
  • 在封闭系统中种植小米以测量产量和种子特性.
  • 描述了40种植物的定量特征,包括叶子,三角体和谷物特征.
  • 开发生物质和产量组件的预测回归方程.

主要成果:

  • 超重力压力没有对小米幼苗或产量产生负面影响.
  • 在封闭系统中,小麦产量达到0.31公斤/平方米,每千粒种子的重量为8.61克.
  • 为生物质积累,种子重量,花数量和谷物产量创建了预测模型.
  • 对40种定量特征进行了详细的表型鉴定.

结论:

  • 是一种适用于太空粮食生产系统的作物.
  • 预测模型可以为太空农业实现自动化控制和产量优化.
  • 这些模型支持计算机视觉和太空养殖的表型设计.
  • 生物质产量预测有助于评估行星站的废物处理系统.