Authors
Nowsheen Nazir, Meinaz Nissar, Krishna Nemali, Abdul Raouf Malik, Abdul Malik, Rifat Bhat, Amit Kumar, Shafat Ahmad Banday, Nikhat J Siddiqi, Charu Bisht, Showkat Rasool, Immad A Shah, Ab Waheed Wani, Tashooq Ahmad Bhat
Published in
Scientific reports. Volume 16. Issue 1. Aug 06, 2026. Epub Aug 06, 2026.
Abstract
Water scarcity necessitates efficient irrigation strategies in high-value crops like apple. While regulated deficit irrigation (RDI) is known to influence apple yield and quality, the optimal soil moisture threshold for automated systems in region-specific contexts remains poorly defined. This two-year study (2024-2025) evaluated the effects of four precise, soil moisture-based irrigation thresholds on the yield, fruit quality, and water productivity (WP) of 'Super Chief' apples in the northwestern Himalayas. An automated irrigation system using a Human-Machine Interface (HMI) and calibrated soil moisture sensors maintained Volumetric Water Content (VWC) at four thresholds: 100% (I100, 45% VWC), 80% (I80, 36% VWC), 60% (I60, 27% VWC), and 40% (I40, 18% VWC) of field capacity (θfc). Full irrigation (I100) maximized yield (70.80 t ha⁻¹) and fruit size (165.60 g). Severe deficit (I40) significantly enhanced fruit firmness (9.56 N) and soluble solids content (13.95 °Brix) but at the cost of a 20% yield reduction. Crucially, the I80 treatment achieved a near-optimal yield (66.24 t ha⁻¹) while using 20% less irrigation water than I100, resulting in a 31% higher water productivity (WP). Multi-criteria TOPSIS analysis objectively ranked I80 as the best compromise strategy. For 'Super Chief' apples in the Himalayan region, maintaining soil moisture at 80% θfc via sensor-based automation is the superior strategy, effectively balancing marketable yield, enhanced fruit quality, and water conservation.
PMID:
42728253
Bibliographic data and abstract were imported from PubMed on 12 Sep 2026.
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