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相关概念视频

Plant Breeding and Biotechnology01:59

Plant Breeding and Biotechnology

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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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Light Acquisition02:16

Light Acquisition

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Transgenic Plants02:50

Transgenic Plants

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Recombinant DNA technology called transgenesis is often used to add a foreign gene or remove a detrimental gene from an organism. Such genetically modified organisms are called transgenic organisms.
The first-ever transgenic plant was a tobacco plant developed in 1983 that showed resistance against the tobacco mosaic virus. Since then, many transgenic plants have been developed and commercialized for improving the agricultural, ornamental, and horticultural value of a crop plant. Transgenic...
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Plant Tissue Culture02:57

Plant Tissue Culture

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Plant tissue culture is widely used in both primary and applied science. Applications range from plant development studies to functional gene studies, crop improvement, commercial micropropagation, virus elimination, and conservation of rare species.
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What is Genetic Engineering?00:49

What is Genetic Engineering?

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Overview
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Multiple Regression01:25

Multiple Regression

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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
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相关实验视频

Updated: Jun 9, 2025

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大数据和人工智能辅助的作物育种:进展和前景

Wanchao Zhu1,2, Weifu Li3,4, Hongwei Zhang5

  • 1Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling, 712100, China.

Journal of integrative plant biology
|October 28, 2024
PubMed
概括

生物大数据和人工智能的进步加速了作物育种. 智能精密设计育种 (IPDB) 为未来的作物开发提供了可预测,高效和具有成本效益的方法.

关键词:
人工智能的人工智能是人工智能.生物大数据 生物大数据繁殖繁殖 繁殖繁殖精确的设计培育精密的设计培育.系统生物学 系统生物学

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科学领域:

  • 农业科学 农业科学
  • 遗传学 遗传学 是一个
  • 生物信息学是一种生物信息学.

背景情况:

  • 基因发现,生物大数据 (BBD) 和人工智能 (AI) 的快速进展正在改变农业.
  • 全球日益增长的粮食需求需要加快作物育种策略.

研究的目的:

  • 审查当前的作物育种方法,并确定创新需求.
  • 探索BBD和AI的集成,以进行先进的遗传分析和预测.
  • 提出智能精密设计育种 (IPDB) 作为一种新的AI驱动的育种范式.

主要方法:

  • 审查现有的育种技术和关于BBD和AI应用的文献.
  • 对人工智能和BBD集成进行基因剖析,功能基因探索和表型预测的分析.
  • 概念化和提出IPDB框架及其实施策略.

主要成果:

  • BBD和AI的整合使得增强的遗传剖析,功能性基因发现和准确的表型预测成为可能.
  • 拟议的IPDB框架旨在提高作物育种的可预测性,效率和成本效益.
  • 通过将生物技术,生物信息学和育种专业知识整合到一个合作系统中,CropGPT是IPDB的典范.

结论:

  • 由人工智能驱动的IPDB是当前作物育种技术的重大进步.
  • IPDB为各种利益相关者提供综合平台和服务,促进在作物改进方面的合作.
  • 拟议的系统非常适合解决未来在作物育种和粮食安全方面的挑战.