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相关概念视频

Light Acquisition02:16

Light Acquisition

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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相关实验视频

Updated: May 12, 2026

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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使用机器学习技术监测小麦叶的严重程度.

Tayebeh Bakhshi1, Rahim Mehrabi2, Mostafa Aghaee Sarbarzeh3

  • 1Department of Crop Biotechnology and Breeding, Faculty of Agriculture, Ferdowsi University of Mashhad, P.O. Box 891779489974, Mashhad, Iran.

Scientific reports
|November 29, 2025
PubMed
概括

在伊朗的基因型中,小麦叶的抗性各不相同. 一些小麦品种对所有测试的Puccinia triticina分离物具有强烈的耐药性,有助于疾病管理策略.

关键词:
叶子生的叶子生.抗性基因的抗性基因.病毒性因素是病毒性因素.小麦小麦小麦小麦的小麦.

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科学领域:

  • 植物病理学 植物病理学
  • 农业学是一种农业学.
  • 遗传学 遗传学 是一个

背景情况:

  • 小麦叶生 (Puccinia triticina) 导致全球产量大幅下降.
  • 了解区域病原体的毒性对于有效的小麦育种至关重要.

研究的目的:

  • 为了评估伊朗叶子生分离的病原性因素.
  • 识别耐药小麦基因型和表征耐药性基因.

主要方法:

  • 评估了49种 durum 和面包小麦基因型的感染类型,与9种叶子生分离物相比.
  • 在已知耐药基因 (Lr34,Lr37,Lr19) 的差异性基因型上确定了毒性/毒性模式.
  • 利用机器学习算法 (XGBoost,MARS,GP) 来模拟疾病对产量特征的影响.

主要成果:

  • 观察到小麦基因型对隔离物反应的显著差异.
  • 几种基因型 (例如,PS. No4,Shabrang) 对所有分离物体都表现出耐药性.
  • 所有的分离物在Lr34和Lr37上都具有毒性,但在Lr19上却具有毒性.

结论:

  • 确定了具有宝贵苗木耐药基因的特定小麦基因型.
  • 在伊朗的Puccinia triticina分离物的特征性毒性概况.
  • 机器学习模型准确地预测了因疾病严重程度而导致的产量损失.