Modeling Root Development of Rice (Oryza sativa L) under Varying Drought Stress

In the current era, where drought occurrences are frequent and devastating, extensive study on drought tolerance mechanisms is imperative. Root growth under water stress is a key indicator of drought tolerance. Modeling a crop's root-length under such conditions aids in predicting seminal root length (SRL) and, consequently, its tolerance level. Under consecutive stress using Poly-ethylene-glycol (PEG), root length of a landrace originating from the drought-prone area of West Bengal, India was measured through image analysis and then mathematically modulated using an equation. The highest root length under stress was predicted at 6% PEG stress which aligned with the experimental readings. On the 15th day of stress, predicted SRL values were 104.67mm and experimental values were 90.00mm. Despite some over and underestimations with a low root mean square error of 14.68 mm, the equation provides insight into root elongation trends under various stress levels, offering a basis for predicting SRL and yield capabilities under water stress for diverse crop species.

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Publication Details

Journal
Journal of Advances in Biology & Biotechnology
Published
2024-10-23
DOI
https://doi.org/10.9734/jabb/2024/v27i101559
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
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article

Modeling Root Development of Rice (Oryza sativa L) under Varying Drought Stress

Subrata Raha, Dipak Kumar Kar, Avishek Dey, Anirneeta De et al.
1 links
Journal of Advances in Biology & Biotechnology
Rice Cultivation and Yield Improvement
article

Modeling Root Development of Rice (Oryza sativa L) under Varying Drought Stress

Subrata Raha, Dipak Kumar Kar, Avishek Dey, Anirneeta De, Chandan Maji
article en

Abstract

In the current era, where drought occurrences are frequent and devastating, extensive study on drought tolerance mechanisms is imperative. Root growth under water stress is a key indicator of drought tolerance. Modeling a crop's root-length under such conditions aids in predicting seminal root length (SRL) and, consequently, its tolerance level. Under consecutive stress using Poly-ethylene-glycol (PEG), root length of a landrace originating from the drought-prone area of West Bengal, India was measured through image analysis and then mathematically modulated using an equation. The highest root length under stress was predicted at 6% PEG stress which aligned with the experimental readings. On the 15th day of stress, predicted SRL values were 104.67mm and experimental values were 90.00mm. Despite some over and underestimations with a low root mean square error of 14.68 mm, the equation provides insight into root elongation trends under various stress levels, offering a basis for predicting SRL and yield capabilities under water stress for diverse crop species.

Journal of Advances in Biology & BiotechnologyVol. 27(10)
Botanical Survey of India (IN), KPC Medical College and Hospital (IN), Sidho-Kanho-Birsha University (IN)
Clean water and sanitation
Openalex Percentile: Top 90%
Rice Cultivation and Yield Improvement
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