Unverified paper record
Indirect method for measurement of leaf area and leaf area index of soilless cucumber crop
Advances in Plants & Agriculture Research · 4 Apr 2018 · 10.15406/apar.2018.08.00311
Abstract
The plant parameters such as leaf area (LA) or leaf area index (LAI) play an important role in understanding photosynthesis, light interception, water and nutrient use and crop growth.A better understanding of the relationships between crop development and environment is thus important.Both LA and LAI can be measured directly by using digital meters (destructive methods) or indirectly using developed regression techniques (non-destructive methods).In the present study, non-destructive methods (regression equations) were developed for estimation of LA and LAI separately.The developed regression equations were used to estimate LA and LAI.Both LA and LAI predictions presented a high precision and accuracy.The developed non-destructive methods for estimation of LA and LAI were found functional for cucumber crop with a significant saving in energy and time.
Plant phenotyping relevance
キュウリの葉面積・葉面積指数を非破壊的に推定する回帰法を開発し、精度・正確性を評価しており、植物形質取得法が研究の中心である。
abstractIn the present study, non-destructive methods (regression equations) were developed for estimation of LA and LAI separately.
abstractBoth LA and LAI predictions presented a high precision and accuracy.
Code and data availability
The article describes regression equations for leaf area and LAI of soilless cucumber but contains no public dataset, image, code, model, or supplement availability statement. No paper-specific reproducibility assets are present.
No evidence-backed public reproduction asset is currently recorded.
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