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相关概念视频

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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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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Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
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Plant hormones—or phytohormones—are chemical molecules that modulate one or more physiological processes of a plant. In animals, hormones are often produced in specific glands and circulated via the circulatory system. However, plants lack hormone-producing glands.
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GreenPhylDB v5: a comparative pangenomic database for plant genomes.

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Updated: Jan 16, 2026

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AgroLD:植物科学知识图.

Larmande Pierre1,2, Pittolat Bertrand3,4, Tando Ndomassi5,4

  • 1DIADE, IRD, CIRAD, Univ. Montpellier, Ave Agropolis, Montpellier, France. pierre.larmande@ird.fr.

BMC genomic data
|October 3, 2025
PubMed
概括
此摘要是机器生成的。

AgroLD集成了各种植物科学数据,使用语义网络技术来提高作物产量. 这个知识图帮助研究人员了解气候变化适应和疾病抵抗的基因型-表型关系.

关键词:
生物信息学是一种生物信息学.这是公平的,公平的.知识图是知识图.链接数据链接数据植物科学 植物科学

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科学领域:

  • 植物科学 植物科学
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 全球日益增长的粮食需求需要提高作物产量.
  • 气候变化给农业带来了重大挑战.
  • 了解基因型-表型关系是改善作物的关键.

研究的目的:

  • 为植物科学数据开发一个统一的知识平台.
  • 促进植物研究中的假设生成和验证.
  • 解决与植物适应和抗病能力相关的复杂生物学问题.

主要方法:

  • 利用语义网络技术构建一个知识图.
  • 来自多个不同来源的综合和注释数据.
  • 开发了AgroLD,一个大规模的植物科学知识图.

主要成果:

  • 在AgroLD中,整合了大约108亿个三倍数.
  • 包括来自19个来源的151多个数据集的数据.
  • 知识图为无数据集成提供了便利.

结论:

  • AgroLD为植物科学研究提供了一个专门的平台.
  • 它支持对抗病性基因功能的研究.
  • 该平台有助于了解植物对气候变化的适应反应.