探索植物行为背后的复杂信息过程。

Plant signaling & behavior Pub Date : 2024-12-31 Epub Date: 2024-10-09 DOI:10.1080/15592324.2024.2411913
A Novoplansky, G M Souza, E D Brenner, S C Bhatla, E Van Volkenburgh
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引用次数: 0

摘要

新发现的植物行为与历史观察、当代技术和新兴的信号机制知识相联系,证明植物利用了复杂的信息处理系统。从进化和生理学意义上讲,植物是以目标为导向的;它们表现出了能动性和学习能力。虽然有关植物可塑性、学习和记忆的大多数研究都是针对单株植物对资源可用性和生物压力的反应,但适应性信息往往是从邻近植物那里感知到的,并与邻近植物协调,同时还存在对有限资源的竞争。基于现有的知识、技术和可持续发展原则,目前正在采用气候智能型农业实践,以提高作物的抗逆性和生产力。加深对植物行为动态的了解,可为提高自然和农业生态系统的生产力和健康水平提供丰富的潜在改善策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the complex information processes underlying plant behavior.

Newly discovered plant behaviors, linked to historical observations, contemporary technologies, and emerging knowledge of signaling mechanisms, argue that plants utilize complex information processing systems. Plants are goal-oriented in an evolutionary and physiological sense; they demonstrate agency and learning. While most studies on plant plasticity, learning, and memory deal with the responsiveness of individual plants to resource availability and biotic stresses, adaptive information is often perceived from and coordinated with neighboring plants, while competition occurs for limited resources. Based on existing knowledge, technologies, and sustainability principles, climate-smart agricultural practices are now being adopted to enhance crop resilience and productivity. A deeper understanding of the dynamics of plant behavior offers a rich palette of potential amelioration strategies for improving the productivity and health of natural and agricultural ecosystems.

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