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Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
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控制环境生态系统:快速繁殖的尖端技术

Avinash Sharma1, Mainu Hazarika1, Punabati Heisnam2

  • 1Faculty of Agricultural Sciences, Arunachal University of Studies, Namsai, Arunachal Pradesh 792103, India.

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概括

控制环境农业使用快速育种技术加快了作物育种,大大减少了生成时间和改善了作物特征. 这种方法克服了传统的育种限制,提高了粮食安全.

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科学领域:

  • 农业科学 农业科学
  • 植物育种 植物育种
  • 控制环境 农业 农业

背景情况:

  • 传统的作物育种面临着长周期 (10-15年) 和环境不可预测性等局限性.
  • 控制环境农业 (CEA) 为先进的植物种植提供了一个稳定的平台.
  • 隐藏的饥饿和营养不良需要生物强化作物的更快发展.

研究的目的:

  • 评估控制环境生态系统中的速度繁殖的有效性.
  • 为了比较传统和受控方法之间的繁殖周期持续时间.
  • 探索人工智能和机器学习在优化CEA以改善作物中的作用.

主要方法:

  • 在受控环境室内整合速度繁殖技术.
  • 利用人工智能 (AI) 进行表型查和特征分析.
  • 采用机械学和机器学习模型来规范资源利用效率.

主要成果:

  • 快速繁殖将F1-F6世代的繁殖周期缩短到2-3年,而传统方法的繁殖周期为10-15年.
  • 速度繁殖的生成时间因作物而异,大米每年从4个到阿拉比多普西斯每年10个.
  • 人工智能和机器学习模型优化营养和水利用效率,以及环境参数.

结论:

  • 在受控环境中进行快速繁殖,可显著加快作物改进和特征的发展.
  • 人工智能和机器学习提高了控制环境农业的精度和效率.
  • 保持最佳的环境条件对于CEA的速度繁殖的成功至关重要.