A photoperiod-based Classification of Industrial Hemp (Cannabis sativa L.) and its Agronomic Implications

Omid Ansari; Luca De Prato; Jan Slaski

doi:10.1016/j.indcrop.2025.121431

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A photoperiod-based Classification of Industrial Hemp (Cannabis sativa L.) and its Agronomic Implications

Journal article

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Peer reviewed

A photoperiod-based Classification of Industrial Hemp (Cannabis sativa L.) and its Agronomic Implications

Omid Ansari, Luca De Prato and Jan Slaski

Industrial crops and products, Vol.233, 121431

2025

DOI: https://doi.org/10.1016/j.indcrop.2025.121431

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Abstract

breeding

genetic and environmental factors

Hemp cultivation

Hemp varieties classification

photoperiod sensitivity

yield optimisation and quality

Hemp (Cannabis sativa L.) is an increasingly important multipurpose crop, valued for its industrial, nutritional, and medicinal uses. Flowering behaviour in hemp, largely governed by photoperiod sensitivity, is a key determinant of crop adaptation, productivity, and end-use quality. In this study, we propose a novel photoperiod-based classification system for hemp varieties, informed by synthesis and comparative analysis of phenotypic data, multi-environment trial observations, and published literature. Varieties are grouped into four functional categories: Photoperiod-Sensitive Pioneers (PSPs), Intermediate Photoperiod Adapters (IPAs), Solstice-Triggered Hybrids (STHs), and Biomass Maximisers (BMax). This framework offers a practical tool for aligning genotype selection with specific environmental conditions and production objectives. It supports the development of targeted breeding programs, optimised crop management, and precision phenological strategies, particularly under diverse photothermal regimes. We outline the agronomic implications associated with each varietal group and highlight areas for further research into the genetic and physiological mechanisms underpinning photoperiod responsiveness. This classification promotes a more systematic understanding of hemp phenology and strengthens its potential contribution to sustainable and climate-resilient agriculture. [Display omitted]

Details

Title: A photoperiod-based Classification of Industrial Hemp (Cannabis sativa L.) and its Agronomic Implications
Authors/Creators: Omid Ansari - HempGenTech Pty Ltd, QLD Australia
Luca De Prato - Murdoch University, Centre for Sustainable Farming Systems
Jan Slaski - Innotech Alberta, Vegreville, Canada
Publication Details: Industrial crops and products, Vol.233, 121431
Publisher: Elsevier B.V.
Identifiers: 991005795473307891
Murdoch Affiliation: School of Agricultural Sciences
Language: English
Resource Type: Journal article

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