Exploring the complex information processes underlying plant behavior.

Learning memory plant agency plant behavior plant communication

Journal

Plant signaling & behavior
ISSN: 1559-2324
Titre abrégé: Plant Signal Behav
Pays: United States
ID NLM: 101291431

Informations de publication

Date de publication:
31 Dec 2024
Historique:
medline: 9 10 2024
pubmed: 9 10 2024
entrez: 9 10 2024
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 39381978
doi: 10.1080/15592324.2024.2411913
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2411913

Auteurs

A Novoplansky (A)

Mitrani Department of Desert Ecology, Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Midreshet Ben-Gurion, Israel.

G M Souza (GM)

Department of Botany, Institute of Biology - Section of Plant Physiology, Federal University of Pelotas, Pelotas, RS, Brazil.

E D Brenner (ED)

Department of Biology, Pace University, New York, New York, USA.

S C Bhatla (SC)

Department of Botany, University of Delhi, New Delhi, Delhi, India.

E Van Volkenburgh (E)

Department of Biology, University of Washington, Seattle, WA, USA.

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Classifications MeSH