Abstract
The dry matter content (DMC) is a critical factor for assessing the quality of the potato. Using a fish effluent in the sprinkler irrigation has unknown impacts on the DMC of the tuber. Hence, different irrigation treatments were carried out for the irrigation of potato, including T1: fresh water treatment, T2: fish effluent treatment and T3: combined fresh water and fish effluent treatment in which leaf washing was used. A multiple regression model (MLR) was developed in which nutrient concentrations were considered as the input while DMC was the output of the model. The model was evaluated by the root mean squared error (RMSE) as well as the mean absolute percentage error (MAPE). Then, sensitivity analysis of DMC due to changing the nutrient concentration was carried out through regression models by the sensemaker package. The results illustrate that the developed regression model is highly accurate due to low RMSE and MAPE. The results of the sensitivity analysis indicate that the impact of nitrate on the DMC due to adding a confounder is weak. In other words, nitrate can be removed from the list of independent variables for developing regression models to simulate DMC. The results show that the averages of dry matter content in T1, T2 and T3 were 20.26%, 21.53 and 25.72%, respectively. The results indicate that DMC is increased in the irrigation treatment in which leaf washing is used to mitigate the impact of fish effluent. It is recommendable to utilize the leaf washing with fresh water when using fish effluent is planned for irrigating potato.
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Data Availability
All data and materials that support the findings of this study are available from the corresponding author upon reasonable request.
Abbreviations
- T1:
-
Fully fresh water treatment
- T2:
-
Fully fish effluent treatment
- T3:
-
Fish effluent treatment with pre and post washing by fresh water
- N:
-
Nitrogen
- P:
-
Phosphorus
- K:
-
Potassium
- Mg:
-
Magnesium
- DMC:
-
Dry matter content
- RV:
-
Robustness value
- T max :
-
Maximum temperature
- T min :
-
Minimum temperature
References
Abdala G et al (1995) Effect of 2-chloroethyltrimethyl ammonium chloride on tuberization and endogenous GA3 in roots of potato cuttings. Plant Growth Regul 17(2):95–100. https://doi.org/10.1007/BF00024167
AbdelGadir AH et al (2003) The effect of different levels of additional potassium on yield and industrial qualities of potato (Solanum tuberosum L.) in an irrigated arid region. Am J Potato Res 80(3):219–222. https://doi.org/10.1007/BF02855694
Abdelraouf RE (2019) Reuse of fish farm drainage water in irrigation. Hand Environ Chem 75(May):393–410. https://doi.org/10.1007/698_2017_92
Ahamad S, Dagar JC, Mani D (2014) Impact of FYM and potassium interactions on potato yield cultivated on moderate saline soils. J Soil Salinity Water Qual 6(1):59–63
Ahmed A et al (2009) Potato tuber quality as affected by nitrogen form and rate. Middle Eastern Russ J Plant Sci Biotechnolo 3(1):47–52. Available at: http://www.globalsciencebooks.info/Online/GSBOnline/images/0906/MERJPSB_3(SI1)/MERJPSB_3(SI1)47-52o.pdf
Allison MF, Fowler JH, Allen EJ (2001) Factors affecting the magnesium nutrition of potatoes (Solanum tuberosum). J Agric Sci 137(4):397–409. https://doi.org/10.1017/S0021859601001538. (2002/01/23)
Alsahlany M et al (2019) Comparison of methods to distinguish diploid and tetraploid potato in applied diploid breeding. Am J Potato Res 96(3):244–254. https://doi.org/10.1007/s12230-018-09710-7
Asch J et al (2022) Comprehensive assessment of extraction methods for plant tissue samples for determining sodium and potassium via flame photometer and chloride via automated flow analysis#. J Plant Nutr Soil Sci 185(2):308–316. https://doi.org/10.1002/jpln.202100344
Asmamaw Y, Tekalign T, Workneh TS (2010) Specific gravity, dry matter concentration, ph, and crisp-making potential of ethiopian potato (Solanum tuberosum L.) cultivars as influenced by growing environment and length of storage under ambient conditions. Potato Res 53(2):95–109. https://doi.org/10.1007/s11540-010-9154-1
Carlos A et al (2022) Package “ sensemakr ”. https://doi.org/10.1111/rssb.12348>.URL
Chowdhury T et al (2021) Nutrient uptake and pharmaceutical compounds of Aloe vera as influenced by integration of inorganic fertilizer and poultry manure in soil. Heliyon 7(7):e07464. https://doi.org/10.1016/j.heliyon.2021.e07464
Cinelli C, Hazlett C (2020) Making sense of sensitivity: extending omitted variable bias. J R Stat Soc Ser B Stat Methodol 82(1):39–67. https://doi.org/10.1111/rssb.12348
Dutt S et al (2017) Key players associated with tuberization in potato: potential candidates for genetic engineering. Crit Rev Biotechnol 37(7):942–957. https://doi.org/10.1080/07388551.2016.1274876
Eid AR, Hoballah EMA (2019) Impact of irrigation systems, fertigation rates and using drainage water of fish farms in irrigation of potato under arid regions conditions full length research paper impact of irrigation systems , fertigation rates and using drainage water of fish farm (October 2017). https://doi.org/10.12983/ijsras-2014-p0067-0079
Errebhi M et al (1998) Potato yield response and nitrate leaching as influenced by nitrogen management. Agron J 90(1):10–15. https://doi.org/10.2134/agronj1998.00021962009000010003x
Gerendás J, Führs H (2013) The significance of magnesium for crop quality. Plant Soil 368(1–2):101–128. https://doi.org/10.1007/s11104-012-1555-2
Gondwe RL et al (2020) Available soil nutrients and NPK application impacts on yield, quality, and nutrient composition of potatoes growing during the main season in Japan. Am J Potato Res 97(3):234–245. https://doi.org/10.1007/s12230-020-09776-2
Hashem MS, Qi XB (2021) Treated wastewater irrigation-a review. Water (Switzerland) 13(11):1–37. https://doi.org/10.3390/w13111527
Hochmuth G et al (2002) Potato yield and tuber quality did not respond to phosphorus fertilization of soils testing high in phosphorus content. HortTechnol Horttech 12(3):420–423. https://doi.org/10.21273/HORTTECH.12.3.420
Hopkins BG et al (2010) Phosphorus fertilizer timing for Russet Burbank potato grown in calcareous soil. J Plant Nutr 33(4):529–540. https://doi.org/10.1080/01904160903506266
Kang W et al (2014) Luxury absorption of potassium by potato plants. Am J Potato Res 91(5):573–578. https://doi.org/10.1007/s12230-014-9386-8
Keller J, Bliesner RD (1990) Sprinkler and trickle irrigation. Van Nostrand Reinhold, New York, NY, USA, p 652
Lisinska G, Leszczynski W (1989) Potato science and technology. Springer Netherlands. Available at: https://books.google.com/books?id=WYT1S7qhn4sC
Ma B et al (2022) A combined approach to evaluate total phosphorus/inorganic phosphate levels in plants. STAR Protocols 3(3):101456. https://doi.org/10.1016/j.xpro.2022.101456
Maltas A, Dupuis B, Sinaj S (2018) Yield and quality response of two potato cultivars to nitrogen fertilization. Potato Res 61(2):97–114. https://doi.org/10.1007/s11540-018-9361-8
Manbari N et al (2020) Effect of a combined filtration system and drip irrigation laterals on quality of rainbow trout farm effluent. Irrig Sci 38(2):131–145. https://doi.org/10.1007/s00271-019-00654-2
Marofi S et al (2013) The effects of wastewater reuse on potato growth properties under greenhouse lysimeteric condition. Int J Environ Sci Technol 10(1):133–140. https://doi.org/10.1007/s13762-012-0108-9
McGregor I (2007) Chapter 1 - The fresh potato market. In: Vreugdenhil D et al (eds) Potato biology and biotechnology. Elsevier Science B.V, Amsterdam, pp 3–26. https://doi.org/10.1016/B978-044451018-1/50043-9
Mohammed W (2016) Specific gravity, dry matter content, and starch content of potato (Solanum tuberosum L.) varieties cultivated in Eastern Ethiopia. East Afr J Sci 10:87–102
Nerdy N, De Lux Putra E (2018) Spectrophotometric method for determination of nitrite and nitrate levels in broccoli and cauliflower with different fertilization treatment. Orient J Chem 34(6):2983–2991. https://doi.org/10.13005/ojc/340639
Peiris KHS et al (1999) Spatial variability of soluble solids or dry-matter content within individual fruits, bulbs, or tubers: implications for the development and use of NIR spectrometric techniques. HortScience 34(1):114–118. https://doi.org/10.21273/hortsci.34.1.114
R Core Team (2019) R: A language and environment for statistical computing [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org/
Rosen CJ, Bierman PM (2008) Potato yield and tuber set as affected by phosphorus fertilization. Am J Potato Res 85(2):110–120. https://doi.org/10.1007/s12230-008-9001-y
Şener E, Şener Ş, Varol S (2022) Evaluation of irrigation water quality using GIS-based analytic hierarchy process (AHP) in Kızılırmak Delta (Turkey). Arab J Geosci [Preprint], (April). https://doi.org/10.1007/s12517-022-10003-x
Ünlü M et al (2006) Trickle and sprinkler irrigation of potato (Solanum tuberosum L.) in the Middle Anatolian Region in Turkey. Agric Water Manag 79(1):43–71. https://doi.org/10.1016/j.agwat.2005.02.004
Vallejos MB et al (2020) Fish-processing effluent discharges influenced physicochemical properties and prokaryotic community structure in arid soils from Patagonia. Sci Total Environ 714:136882. https://doi.org/10.1016/j.scitotenv.2020.136882
van Eck HJ (2007) Chapter 6 - Genetics of morphological and tuber traits. In D. Vreugdenhil et al. (eds). Amsterdam: Elsevier Science B.V., pp. 91–115. https://doi.org/10.1016/B978-044451018-1/50048-8
Vos J (1997) The nitrogen response of potato (Solanum tuberosum L.) in the field: nitrogen uptake and yield, harvest index and nitrogen concentration. Potato Res 40(2):237–248. https://doi.org/10.1007/BF02358249
Vreugdenhil D, Sergeeva LI (1999) Gibberellins and tuberization in potato. Potato Res 42(3):471–481. https://doi.org/10.1007/BF02358163
Wil van Loon. (2005). Process innovation and quality aspects of French fries. https://api.semanticscholar.org/CorpusID:81397831
Wilms R et al (2021) Omitted variable bias: a threat to estimating causal relationships. Methods Psychol 5:2020–2021. https://doi.org/10.1016/j.metip.2021.100075
Acknowledgements
This project was supported by the university of Bu-Ali Sina.
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Z F: field experiment, data analysis and curation, and original draft. H Z A: conceptualization, methodology, experimental design, formal analysis, data analysis, resources, review and editing. M S. conceptualization, methodology, formal analysis, data analysis, resources, review and editing. E M: conceptualization, methodology, experimental design, formal analysis, data analysis, resources, review and editing. F H: conceptualization, methodology, experimental design, formal analysis, data analysis, resources, review and editing.
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Fathi, Z., Abyaneh, H.Z., Sedighkia, M. et al. Assessing Dry Matter Content of Potato Affected by Irrigating with Fish Effluent Through Sensitivity Analysis of Nutrient Concentration Impact. Potato Res. (2024). https://doi.org/10.1007/s11540-024-09712-5
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DOI: https://doi.org/10.1007/s11540-024-09712-5