EFFECT OF SCHEDULING IRRIGATION WATER ON PRODUCTION AND WATER USE EFFICIENCY OF SWEET PEPPER YIELD UNDER BASINS SURFACE IRRIGATION SYSTEM | ||
| Misr Journal of Agricultural Engineering | ||
| Articles in Press, Accepted Manuscript, Available Online from 21 October 2025 PDF (720.87 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/mjae.2025.428233.1167 | ||
| Author | ||
| A. M. Almoayyad* | ||
| Assoc. Prof. of Ag. Dep. Fac. of Ag. Thamar University. Yemen | ||
| Abstract | ||
| During the spring season of 2022–2023, this experiment was conducted in the Government Thamar Special Farm. Three different of scheduling irrigation treatments ((b1) with 100% ETC for four days, (b2) 75% ETC for seven days and (b3) 60% ETC for ten days) were applied to two different species of sweet pepper crop, Yolo Wonder and California Wonder. Based on the data, it was found that the California Wonder cultivar produced the highest value (7.246 cm) for the pepper crop's Length recipe, while the Yolo Wonder cultivar produced the lowest value (6.759 cm). The California Wonder and Yolo Wonder are similar in terms of length, with no discernible variances in the formula. The pepper crop's diameter recipe yielded the maximum value for the California Wonder variety. Additionally, with an average pepper production of 30,070 ton/ha, the California Wonder variety outperformed the Yolo Wonder variety, which yielded a value of 29,710 ton/ha less than the average. The production of the pepper crop is not significantly different between Yolo Wonder and California Wonder. As a result, with an average of 28.362 kg/m3, the California Wonder pepper variety outperformed Yolo Wonder in terms of irrigation water use efficiency for pepper crops. Yolo Wonder's average of 27.988 kg/m3 was the lowest. The production of the pepper crop is not significantly different between Yolo Wonder and California Wonder. When it came to irrigation water use efficiency, the California Wonder pepper variety scored the highest. | ||
| Keywords | ||
| Scheduling Irrigation; Sweet pepper varieties; Basins Surface Irrigation | ||
| References | ||
|
Alhassan, I., et al (2017) ‘Effects of Irrigation Scheduling and Soil Management on Maize (Zea mays L.) Yield in Guinea’, World Academy of Science, Engineering and Technology. International Journal of Agricultural and Biosystems Engineering. Vol:11, No:6, 2017.
Annual Agricultural Statistics Book’ - Ministry of Agriculture – YEMEN – 2021.
Abdou, S. M. M., et al (2011) ‘Response of Sunflower Yield and Water Relations to Sowing Dates and Irrigation Scheduling Under Middle Egypt Condition’, Pelagia Research Library. Advances in Applied Science Research, 2011, 2 (3):141-150.
Afandi, Gamal., et al (2010) ‘Using Irrigation Scheduling to Increase Water Productivity of Wheat-Maize Rotation under Climate Change Conditions’, Chilean Journal of Agricultural Research 70(3):474-484 (July-September 2010).
França, Ana Carolina Ferreira, et al (2024) ‘Effects of different irrigation scheduling methods on physiology, yield, and irrigation water productivity of soybean varieties’, Agricultural Water Management 293 (2024) 108709
Kumawat, Anita, et al (2017) ‘Effect of Irrigation Scheduling and Nitrogen Application on Yield, Grain Quality and Soil Microbial Activities in Direct–Seeded Rice’, International Journal of Current Microbiology and Applied Sciences, ISSN: 2319-7706 Volume 6 Number 5 (2017) pp. 2854-2860.
Migliaccio, Kati W. (2018) ‘Effects of Real-time Location-specific Drip Irrigation Scheduling on Water Use, Plant Growth, Nutrient Accumulation, and Yield of Florida Fresh-market Tomato’, HORT SCIENCE 53(9):1372–1378.
MOTEVA, Milena, et al (2017)’ Sowing time and irrigation scheduling effects on seed yield and fatty acids profile of sunflower in semi-arid climate’, International Journal of Plant Production 11 (1), January 2017. ISSN: 1735-6814 (Print), 1735-8043.
Patanè, C. et al (2017) ‘Sowing time and irrigation scheduling effects on seed yield and fatty acids profile of sunflower in semi-arid climate’ International Journal of Plant Production 11 (1), January 2017, ISSN: 1735-6814 (Print), 1735-8043 (Online)
Pejić, Borivoj, et al (2021) ‘irrigation scheduling strategies for pepper based on evaporation and reference evapotranspiration’, Acta Agriculture Serbia, 26 (51), 69‒76, 2021.
Salim, Saifulldeen A., et al (2019) ‘Role of Irrigation Scheduling and Potassium Fertilization on Soil Moisture Depletion and Distribution of Quinoa Root (Irrigation Scheduling Fertilization and their effect on Moisture Depletion and Yield)’, Plant Archives Vol. 19 No. 2, 2019 pp. 3844-3852 e-ISSN:2581-6063 (online), ISSN:0972-5210.
Singh, Avinash, et al (2022) ‘Effect of irrigation scheduling on growth and yield of late sown wheat (Triticum aestivum L.)’, The Pharma Innovation Journal 2022; 11(7): 788-790.
Sui, Ruixiu, et al (2015) ‘Yield Response to Variable Rate Irrigation in Corn’, Journal of Agricultural Science; Vol. 7, No. 11; 2015. ISSN 1916-9752 E-ISSN 1916-9760.
TASHE, Todor, et al (2016) ‘Irrigation Scheduling and the impact of Irrigation on the Yield and Yield Components of Sweet Corn’, Scientific Papers. Series A. Agronomy, Vol. LIX, 2016. ISSN 2285-5785.
Tefera, Ashebir Haile and Mitku, Demeke Tamene (2017) ‘Determination of Optimum Irrigation Scheduling and Water Use Efficiency for Maize Production in North-West Ethiopia’, Journal of Natural Sciences Research. ISSN 2224-3186 (Paper). Vol.7, No.21, 2017.
Xun Wu, et al (2022) ‘Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability-based water production function’, Field Crops Research 284 (2022) 108579.
Zabn, Khansa M. and Alsajri, Firas A. (2022) ‘Effect of Stopping Irrigation at Different Growth Stages in Wheat Growth and Dry Matter Accumulation’, Iraqi Journal of Desert Studies 2022, 12 (2): 18-30. | ||
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