量子机器学习驱动营养素和激素相互作用的优化,以增强普通豆的体外再生
Ramazan Katırcı1, Muhammad Aasim2, Farhan Aadil1
1Department of Computer Engineering, Sivas University of Science and Technology, Sivas, Turkey.
BMC plant biology
|November 14, 2025
概括
使用营养优化和量子机器学习,改善了常见豆的体外再生. 这推动了用于改善豆类作物的生物技术应用.
科学领域:
- 植物生物技术 植物生物技术
- 计算生物学 计算生物学
背景情况:
- 常见豆 (Phaseolus vulgaris) 通过生物技术的改进受到无效的体外再生的阻碍.
- 缺乏可复制的协议限制了基因转换,基因组编辑和作物育种.
研究的目的:
- 为了研究KNO3,印度醇黄油酸 (IBA) 和纳乙酸 (NAA) 对常见豆芽增殖的联合作用.
- 使用经典和量子机器学习 (QML) 来优化体外再生.
主要方法:
- 用IBA和NAA测试KNO3度的变化,对两种种子种类进行了试验.
- 采用经典和QML算法,包括具有RX,RZ和哈达马德门的定制量子电路,用于数据分析和预测.
- 评估射击数量和长度作为重点再生指标.
主要成果:
- 最佳的喷射增殖 (6.44喷射) 是通过5700 mg/L的KNO3和NAA在喷射中获得的.
- 较低的KNO3度促进了射线长度的增加.
- 定制量子电路实现了83%的准确性和84%的F1分数用于射击计数分类.
结论:
- 一种混合量子古典方法有效地优化了营养素和激素的组合,用于常见豆在体外再生.
- 开发的QML模型提高了预测准确性,减少了实验不确定性.
- 这种优化的系统有可能推进豆类育种和其他植物生物技术应用.
相关概念视频
Key Elements for Plant Nutrition
23.9K
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...
23.9K
Plant Hormones
27.2K
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.
27.2K
Plant Breeding and Biotechnology
21.4K
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.
21.4K


