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Influence of Irrigation Levels on Morphological Attributes and Yield of Tomato under Current and Climate Change Conditions

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EN
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EN
Water shortage consider on of the main threats facing the agriculture, mainly in the Mediterranean area. So that there is a great need to apply new methods to water resource management. The crop models are used to achieve this objective. Tomato is a significant vegetable crop globally and represent an important part of horticultural production with 180 million tons produced on over five million hectares even though few studies have validated the AquaCrop model, especially in Egypt. This study was conducted in a protected cultivation experimental farm, Agricultural Research Center (ARC), Dokki, Giza, Egypt during the winter seasons of 2019/2020 and 2020/2021. Different irrigation levels (IL): 55%, 70%, 85%, 100%, and 115% of evapotranspiration (Eto) were applied on tomato. Plant growth parameters, relative chlorophyll content (SPAD), yield, fruit quality and plant nutrients (NPK) were recorded at both seasons. Also, the aforementioned irrigation levels were used to validate the AquaCrop model on different climate change scenarios on tomato productivity in 2050 and 2100. The findings revealed that the highest plant growth parameters were obtained in 85% and 100% Eto as compared to all treatments at both seasons. In contrast, the 55% of Eto obtained the lowest values of all plant growth parameters. The number of fruits/plant, early yield, and total yield of 100% Eto were ranked secondly. Fruits quality was significantly affected by the tested ILs. The highest values of TSS, firmness and vit C of tomato fruits were obtained by 55% followed by 70% Eto. The lowest proline content was recorded at 115% of Eto in both seasons. The content of proline in plants of 70% Eto ranked secondly after 55% of Eto in both seasons. The results of AquaCrop model (Version 7.0) revealed that the crop productivity decreased by 4% and 33% of RCP4.5 and RCP8.5 scenarios, respectively, of the years 2050, 14% and 44% for the same scenarios, respectively, of the year 2100.
Rocznik
Strony
1--15
Opis fizyczny
Bibliogr. 67 poz., rys., tab.
Twórcy
  • Vegetable Crops Departments, Faculty of Agriculture, Cairo University, Giza 12613, Egypt
  • Vegetable Crops Departments, Faculty of Agriculture, Cairo University, Giza 12613, Egypt
  • Central Laboratory for Agricultural Climate, Agricultural Research Center, Giza 12411, Egypt
  • Vegetable Crops Departments, Faculty of Agriculture, Cairo University, Giza 12613, Egypt
Bibliografia
  • 1. Abdalhi, M.A., Jia, Z., Luo, W., Ali, O.O., Chen, C. 2020. Simulation of canopy cover, soil water content and yield using FAO-AquaCrop model under deficit irrigation strategies. Russian Agricultural Sciences, 46, 279–288.
  • 2. Abdelraouf, R.E., and Ragab, R. 2018. Applying partial root drying drip irrigation in the presence of organic mulching. Is that the best irrigation practice for arid regions? Field and modelling study using the saltmed model. Irrigation and Drainage, 67(4), 491–507.
  • 3. Abedinpour, M., Sarangi, A., Rajput, T.B.S., Singh, M., Pathak, H., and Ahmad, T. 2012. Performance evaluation of AquaCrop model for maize crop in a semi-arid environment. Agricultural Water Management, 110, 55–66.
  • 4. Ahmadi, S.H., Mosallaeepour, E., Kamgar-Haghighi, A.A., and Sepaskhah, A.R. 2015. Modeling maize yield and soil water content with AquaCrop under full and deficit irrigation managements. Water Resources Management, 29, 2837–2853.
  • 5. Ahmed, M.S.M., Farag, A.A., Abdrabbo, M.A.A., Radwan, H.A., El-Marsafy, M.Y., and Hashem, F.A. 2015. Utilization of rice straw in tomato production under different levels of water requirements. Egypt. J. Agric. Res, 93(5), 377–389.
  • 6. Allen, R.G., Pereira, L.S., Raes, D., and Smith, M. 1998. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. Fao, Rome, 300(9), D05109.
  • 7. Alomari-Mheidat, M.,Corell, M., Castro-Valdecantos, P., Andreu, L., Moriana, A., and Martín-Palomo, M. J. 2023. Effect of Water Stress and Rehydration on the Cluster and Fruit Quality of Greenhouse Tomatoes. Agronomy, 13(2), 563.
  • 8. Andarzian,.,Bannayan, M., Steduto, P., Mazraeh, H., Barati, M.E., Barati, M.A., and Rahnama, A. 2011. Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran. Agricultural Water Management, 100(1), 1–8.
  • 9. Association of Official Analytical Chemistry (AOAC). Official Methods of Analysis of AOAC International, 17th ed.; Association of Official Analytical Chemistry: Gaithersburg, MD, USA, 2000.
  • 10. Badr, M.A., Abou-Hussein, S.D., and El-Tohamy, W. A. 2016. Tomato yield, nitrogen uptake and water use efficiency as affected by planting geometry and level of nitrogen in an arid region. Agricultural Water Management, 169, 90–97.
  • 11. Battude, M.; Al Bitar, A.; Morin, D.; Demarez, V. 2016, Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data: SAFY. Remote Sens. Environ. 184, 668.
  • 12. Bertamini, M., Zulini, L, Zorer, R., Muthuchelian, K., Nedunchezhian, N. 2007. Photoinhibition of photosynthesis in water deficit leaves of grapevine (Vitis vinifera L.) plants. Photosynthetica, 45, 426–432.
  • 13. Chapman, H.D., and Pratt, P.F. (1962). Methods of analysis for soils, plants and waters. Soil Science, 93(1), 68.
  • 14. Dehghanisanij, H. Emami, S., Achite, M., Linh, N. T. T., and Pham, Q. B. 2021. Estimating yield and water productivity of tomato using a novel hybrid approach. Water, 13(24), 3615.
  • 15. Ding, Z., Ali, E.F., Elmahdy, A.M., Ragab, K.E., Seleiman, M.F., and Kheir, A.M. 2021. Modeling the combined impacts of deficit irrigation, rising temperature and compost application on wheat yield and water productivity. Agricultural Water Management, 244, 106626.
  • 16. EI-Dolify, M.M., Abdrabbo, M.A., EI-yazied, A.A., and Eldeeb, M.H. 2016. effect of using soil conditioners on tomato yield and water use efficiency. Arab Universities Journal of Agricultural Sciences, 24(1).
  • 17. Eissa, M.A., Rekaby, S.A., Hegab, S.A., and Ragheb, H.M. 2018. Effect of deficit irrigation on drip-irrigated wheat grown in semi-arid conditions of Upper Egypt. Journal of Plant Nutrition, 41(12), 1576–1586.
  • 18. Erice, G.,Irigoyen, J.J., Sánchez-Díaz, M., Avice, J.C., and Ourry, A. 2007. Effect of drought, elevated CO2 and temperature on accumulation of N and vegetative storage proteins (VSP) in taproot of nodulated alfalfa before and after cutting. Plant science, 172(5), 903–912.
  • 19. Flexas, J. Bota, F. Loreto, G. Cornic, T.D. 2004. Sharkey, Diffusive and metabolic limitation to photosynthesis under drought and salinity in C3 plants, J. Plant Biol. 6, 269–279.
  • 20. Foster, T., Brozović, N., Butler, A.P., Neale, C.M.U., Raes, D., Steduto, P.,... and Hsiao, T.C. 2017. AquaCrop-OS: An open source version of FAO’s crop water productivity model. Agricultural water management, 181, 18–22.
  • 21. Fróna, D.; Szenderák, J.; Harangi-Rákos, M. The Challenge of Feeding the World. Sustainability. 2019. 11, 5816. https://doi.org/10.3390/su11205816
  • 22. García-Vila, M., and Fereres, E. 2012. Combining the simulation crop model AquaCrop with an economic model for the optimization of irrigation management at farm level. European Journal of Agronomy, 36(1), 21–31.
  • 23. Hartz, T.K., Johnstone, P.R., Francis, D.M., Miyao, E.M., 2005. Processing tomato yield and fruit quality improved with potassium fertigation. Hort-Science 40, 1862–1867.
  • 24. Hegab, A.S.A., Fayed, M.T.B., Hamada, M., and Abdrabbo, M.A.A. 2019. Growth parameters, irrigation requirements and productivity of maize in relation to sowing dates under north-delta of Egypt conditions. Arab Universities Journal of Agricultural Sciences, 27(1), 289–298.
  • 25. Ihuoma, S.O., and Madramootoo, C.A. 2019. Sensitivity of spectral vegetation indices for monitoring water stress in tomato plants. Computers and Electronics in Agriculture, 163, 104860.
  • 26. Ishiwu Charles, N.,Iwouno, J.O., Obiegbuna James, E., and Ezike Tochukwu, C. 2014. Effect of thermal processing on lycopene, beta-carotene and Vitamin C content of tomato [Var. UC82B]. Journal of Food and Nutrition Sciences, 2(3), 87–92.
  • 27. Isikwue, C.B., Audu, O.M., and Isikwue, O.M. 2014. Evaluation of evapotranspiration using FAO Penman-Monteith method in Kano Nigeria. International Journal of Science and Technology, 3(11), 698–703.
  • 28. Ismael, M., Abdel-Mawgoud, A.M.M., Rabia, M.K., and Abdou, A. 2021. Ni (II) mixed-ligand chelates based on 2-hydroxy-1-naphthaldehyde as antimicrobial agents: Synthesis, characterization, and molecular modeling. Journal of Molecular Liquids, 330, 115611.
  • 29. Jones, J.W.; Hoogenboom, G.; Porter, C.H.; Boote, K.J.; Batchelor, W.D.; Hunt, L.; Wilkens, P.W.; Singh, U.; Gijsman, A.J.; Ritchie, J.T. The DSSAT cropping system model. Eur. J. Agron. 2003. 18, 235–265.
  • 30. Kahlaoui, B.,Hachicha, M., Rejeb, S., Rejeb, M.N., Hanchi, B., and Misle, E. 2014. Response of two tomato cultivars to field-applied proline under irrigation with saline water: Growth, chlorophyll fluorescence and nutritional aspects. Photosynthetica, 52, 421–429.
  • 31. Kamanga, R. M. 2020. Retracted Article: Screening and differential physiological responses of tomato (Solanum lycopersicum L.) to drought stress. Plant Physiology Reports, 25(3), 472–482.
  • 32. Katerji, N.,Campi, P., and Mastrorilli, M. 2013. Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region. Agricultural Water Management, 130, 14–26, https://doi.org/10.1016/j.agwat.2013.08.005.
  • 33. Kephe, P.N., Ayisi, K.K., and Petja, B.M. 2021. Challenges and opportunities in crop simulation modelling under seasonal and projected climate change scenarios for crop production in South Africa. Agriculture and Food Security, 10(1), 1–24.
  • 34. Khapte, P.S., Kumar, P., Burman, U., and Kumar, P. 2019. Deficit irrigation in tomato: Agronomical and physio-biochemical implications. Scientia horticulturae, 248, 256–264.
  • 35. Kumar, P.,Thakur, J., and Agrawal, G. 2022. Evaluation of regulated deficit drip irrigation strategies in apricot. Journal of Plant Nutrition, 45(20), 3109–3117.
  • 36. Lawlor, D. W., and Cornic, G. 2002. Photosynthetic carbon assimilation and associated metabolism in relation to water deficits in higher plants. Plant, cell and environment, 25(2), 275–294.
  • 37. Linker, R.,and Sylaios, G. 2016. Efficient model-based sub-optimal irrigation scheduling using imperfect weather forecasts. Computers and Electronics in Agriculture, 130, 118–127.
  • 38. Linker, R., Ioslovich, I., Sylaios, G., Plauborg, F., and Battilani, A. 2016. Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato. Agricultural Water Management, 163, 236–243.
  • 39. Malhi, G.S., Kaur, M. and Kaushik, P., 2021. Impact of climate change on agriculture and its mitigation strategies: A review. Sustainability, 13(3), p.1318.
  • 40. Morsy, N. M. 2019. Reducing water requirement for tomato crop in late summer through field shading. Middle East J. Agric. Res, 8(3), 808–819.
  • 41. Moursy, M.,ElFetyany, M., Meleha, A., and El-Bialy, M. A. 2023. Productivity and profitability of modern irrigation methods through the application of on-farm drip irrigation on some crops in the Northern Nile Delta of Egypt. Alexandria Engineering Journal, 62, 349–356. https://doi.org/10.1016/j.aej.2022.06.063
  • 42. Nayyar,H. 2003. Variation in osmoregulation in differentially drought-sensitive wheat genotypes involves calcium. Biologia plantarum, 47, 541–547.
  • 43. Ngouajio, M., Wang, G., and Goldy, R. 2007. With-holding of drip irrigation between transplanting and flowering increases the yield of field-grown tomato under plastic mulch. Agricultural water management, 87(3), 285–291.
  • 44. Patanè, C., Tringali, S., and Sortino, O. 2011. Effects of deficit irrigation on biomass, yield, water productivity and fruit quality of processing tomato under semi-arid Mediterranean climate conditions. Scientia Horticulturae, 129(4), 590–596.
  • 45. Peters, W., Beck, E., Piepenbrock, M., Lenz, B., and Schmitt, J. M. 1997. Cytokinin as a negative effector of phosphoenolpyruvate carboxylase induction in Mesembryanthemum crystallinum. Journal of plant physiology, 151(3), 362–367.
  • 46. Qadir, M., Sharma, B.R., Bruggeman, A., Choukr-Allah, R., and Karajeh, F. 2007. Non-conventional water resources and opportunities for water augmentation to achieve food security in water scarce countries. Agricultural water management, 87(1), 2–22.
  • 47. Raes, D.; Steduto, P.; Hsiao, T.C.; Fereres, E. Reference Manual AquaCrop Version 4.0; FAO, Land and Water Division: Rome, Italy, 2012.
  • 48. Ragab, M.E., Sawan, O.M., ZF, F.H., El-Bassiony, A.M., and El-Sawy, S. M. 2018. Increasing the Productivity of Tomato Plants Grown in Sandy Soil Under Deficit Irrigation Water Conditions. Research and Reviews: Journal of Agriculture and Allied Sciences, 7(2), 77–88.
  • 49. Rana, B., Parihar, C.M., Nayak, H.S., Patra, K., Singh, V.K., Singh, D.K., Jat, M.L. 2022. Water budgeting in conservation agriculture-based sub-surface drip irrigation using HYDRUS-2D in rice under annual rotation with wheat in Western Indo-Gangetic Plains. Field Crops Research, 282, 108519.
  • 50. Saadi, S., Todorovic, M., Tanasijevic, L., Pereira, L. S., Pizzigalli, C., and Lionello, P. 2015. Climate change and Mediterranean agriculture: Impacts on winter wheat and tomato crop evapotranspiration, irrigation requirements and yield. Agricultural water management, 147, 103–115.
  • 51. Salman, S.R., Abou-Hussein, S.D., Abdel-Mawgoud, A.M.R., and El-Nemr, M.A. 2005. Fruit yield and quality of watermelon as affected by hybrids and humic acid application. Journal of Applied Sciences Research, 1(1), 51–58.
  • 52. Selim, A.F.H. and El-Nady, M.F. 2011. Physio-anatomical responses of drought stressed tomato plants to magnetic field. Acta Astronautica, 69(7–8), 387–396.
  • 53. Shao, H.B., Chu, L.Y., Lu, Z.H., and Kang, C.M. 2008. Primary antioxidant free radical scavenging and redox signaling pathways in higher plant cells. International journal of biological sciences, 4(1), 8.
  • 54. Shao, H. B., Jiang, S. Y., Li, F. M., Chu, L. Y., Zhao, C. X., Shao, M. A.,... and Li, F. 2007. Some advances in plant stress physiology and their implications in the systems biology era. Colloids and surfaces B: Biointerfaces, 54(1), 33–36.
  • 55. Shedeed, S.I., Zaghloul, S.M., and Yassen, A.A. 2009. Effect of method and rate of fertilizer application under drip irrigation on yield and nutrient uptake by tomato. Ozean Journal of Applied Sciences, 2(2), 139–147.
  • 56. Shetty, K., Shetty, G.A., Nakazaki, Y., Yoshioka, K., Asano, Y., and Oosawa, K. 1992. Stimulation of benzyladenine-induced in vitro shoot organogenesis in Cucumis melo L. by proline, salicylic acid and aspirin. Plant Science, 84(2), 193–199.
  • 57. Siam, G., and Abdelhakim, T. 2018. Analysis of the tomato value chain in Egypt and establishment of an action plan to increase its efficiency (Doctoral dissertation, CIHEAM-IAMM).
  • 58. Sibomana, I.C., Aguyoh, J.N., and Opiyo, A.M. 2013. Water stress affects growth and yield of container grown tomato (Lycopersicon esculentum Mill) plants. Gjbb, 2(4), 461–466.
  • 59. Srivastav, A.L., Dhyani, R., Ranjan, M., Madhav, S., and Sillanpää, M. 2021. Climate-resilient strategies for sustainable management of water resources and agriculture. Environmental Science and Pollution Research, 28(31), 41576–41595.
  • 60. Stricevic, R., Cosic, M., Djurovic, N., Pejic, B., and Maksimovic, L. 2011. Assessment of the FAO AquaCrop model in the simulation of rainfed and supplementally irrigated maize, sugar beet and sun- flower. Agricultural water management, 98(10), 1615–1621.
  • 61. Troll, W., and Lindsley, J. 1955. A photometric method for the determination of proline. Journal of biological chemistry, 215(2), 655–660.
  • 62. Vanuytrecht, E., Raes, D., Steduto, P., Hsiao, T.C., Fereres, E., Heng, L.K., Moreno, P.M. 2014. AquaCrop: FAO’s crop water productivity and yield response model. Environmental Modelling and Software, 62, 351–360.
  • 63. Vijitha, R., and Mahendran, S. 2010. Effect of moisture stress at different growth stages of tomato plant (Lycopersicon esculentum Mill.) on yield and quality of fruits.
  • 64. Voloudakis, D., Karamanos, A., Economou, G., Kalivas, D., Vahamidis, P., Kotoulas, V., Zerefos, C. 2015. Prediction of climate change impacts on cotton yields in Greece under eight climatic models using the AquaCrop crop simulation model and discriminant function analysis. Agricultural Water Management, 147, 116–128.
  • 65. Watanabe, F.S., and Olsen, S.R. 1965. Test of an ascorbic acid method for determining phosphorus in water and NaHCO3 extracts from soil. Soil Science Society of America Journal, 29(6), 677–678.
  • 66. Wu, Y., Si, W., Yan, S., Wu, L., Zhao, W., Zhang, J., Fan, J. 2023. Water consumption, soil nitrate-nitrogen residue and fruit yield of drip-irrigated greenhouse tomato under various irrigation levels and fertilization practices. Agricultural Water Management, 277, 108092.
  • 67. Zakher, A.G., and Abdrabbo, M.A.A. 2014. Reduce the harmful effect of high temperature to improve the productivity of tomato under conditions of newly reclaimed land. Egypt. J. Hort, 41(2), 85–97.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9ddd9063-951d-4df7-9020-cfd22be48611
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