Assessing Dry Matter Content of Potato Affected by Irrigating with Fish Effluent Through Sensitivity Analysis of Nutrient Concentration Impact

IF 2.3 3区 农林科学 Q1 AGRONOMY
Zeynab Fathi, Hamid Zare Abyaneh, Mahdi Sedighkia, Eisa Maroufpoor, Farzad Hosseinpanahi
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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.

Abstract Image

通过养分浓度影响的敏感性分析评估用鱼类污水灌溉对马铃薯干物质含量的影响
干物质含量(DMC)是评估马铃薯质量的关键因素。在喷灌中使用鱼类污水对块茎干物质含量的影响尚不清楚。因此,对马铃薯进行了不同的灌溉处理,包括 T1:淡水处理;T2:鱼类污水处理;T3:淡水和鱼类污水混合处理,其中使用了叶片清洗。建立了一个多元回归模型(MLR),将养分浓度作为输入,而 DMC 作为模型的输出。通过均方根误差(RMSE)和平均绝对百分比误差(MAPE)对模型进行了评估。然后,利用 sensemaker 软件包,通过回归模型对养分浓度变化引起的 DMC 敏感性进行了分析。结果表明,由于 RMSE 和 MAPE 较低,所开发的回归模型具有很高的准确性。敏感性分析结果表明,增加混杂因素后,硝酸盐对 DMC 的影响较弱。换言之,在建立模拟 DMC 的回归模型时,可将硝酸盐从自变量列表中删除。结果表明,T1、T2 和 T3 的干物质含量平均值分别为 20.26%、21.53% 和 25.72%。结果表明,在灌溉处理中,利用洗叶减轻了鱼类污水的影响,从而提高了干物质含量。建议在使用鱼类排出的污水灌溉马铃薯时,用清水冲洗叶片。
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来源期刊
Potato Research
Potato Research AGRONOMY-
CiteScore
5.50
自引率
6.90%
发文量
66
审稿时长
>12 weeks
期刊介绍: Potato Research, the journal of the European Association for Potato Research (EAPR), promotes the exchange of information on all aspects of this fast-evolving global industry. It offers the latest developments in innovative research to scientists active in potato research. The journal includes authoritative coverage of new scientific developments, publishing original research and review papers on such topics as: Molecular sciences; Breeding; Physiology; Pathology; Nematology; Virology; Agronomy; Engineering and Utilization.
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