Potato Research最新文献

{"title":"An Analysis of Key Determinants Shaping Potato Production and Market Supply in the South West Shoa Zone of Ethiopia","authors":"Tadesse Tolera Ejeta, Xiuguang Bai","doi":"10.1007/s11540-024-09749-6","DOIUrl":"https://doi.org/10.1007/s11540-024-09749-6","url":null,"abstract":"<p>Potatoes hold a significant role in domestic consumption, contributing to increased food security and serving as a source of income for smallholder farmers. The objective of this paper is to analyze the key determinants of potato production and market supply in the Woliso and Wonchi districts of the South West Shoa Zone in Ethiopia. Drawing data from 368 purposefully and proportionately sampled farmers across four kebeles, the study employs a multiple linear regression model to identify key determinants of potato production. Factors such as the education level of the household head, land allocation for potato cultivation, oxen per hour, usage of improved seed, and fertilizer application significantly and positively influence potato production. Additionally, a two-stage least square regression model reveals that the quantity of potatoes produced, family size, education of the household head, and distance to the nearest market significantly impact the quantity of potatoes supplied to the market. The findings underscore the need for targeted interventions, suggesting that government and stakeholders focus on initiatives promoting education, improved land management, and the provision of essential inputs to enhance both potato production and marketing in the region.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"187 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141514219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of Heat Transfer in Combined Infrared-Hot Air Drying: A Strategy for Evaluation in Potato Food Model","authors":"Azar Naghavi Gargari, Narmela Asefi, Leila Roufegarinejad, Milad Khodaei","doi":"10.1007/s11540-024-09730-3","DOIUrl":"https://doi.org/10.1007/s11540-024-09730-3","url":null,"abstract":"<p>The simultaneous heat and mass transfer in the drying processes is a complicated unit operation. In the present study, the modelling of heat and mass transfer was conducted via investigating temperature distribution and moisture content along with calculating the heat and mass transfer coefficients during the combined infrared-hot air drying (IR-HAD) in the potato food model. The potato drying process was done with cylindrical cutting geometry (disc form) and through the recording of temperature changes in the samples during the process. The selected radiation intensity for this process was 400 and 800 W. Then three-channel thermocouples were placed in the centre, surface, and between these two points in the radius direction of the sample to record the temperature changes during the process. The sample temperature was recorded by a data logger at 200-s intervals. The results of the temperature recording indicated that temperature changes were significant in different parts of the sample along the radius. Mass and heat transfer coefficients, including the convective heat transfer coefficient (<span>({h})</span>), were calculated to be 5.32 and 9.98 W/m².K; similarly, the effective moisture diffusivity <span>({(D}_{eff}))</span> was measured to be 5.18 × 10⁻⁸ and 9.93 × 10⁻⁸ m²/s, and the mass transfer coefficient <span>(({h}_{m }))</span> persisted at 0.005 and 0.010 m/s. An approximate doubling of the calculated coefficients was also observed by doubling the intensity of the radiation. The convective heat transfer coefficient has been introduced as the most important index in transport phenomena modelling and it is also applied in software simulation. Mathematical equations for the moisture transfer by Fick’s law and the heat transfer equation by Fourier’s law were solved using numerical methods and the results were applied in the computational simulation by COMSOL Multiphysics (5,3a). Then resulted profiles were also compared to simulated fried potato profiles. This simulation can help to control the temperature of the sample and it is further useful for quality control by reducing the moisture content.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"42 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141259651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized Deep Learning for Potato Blight Detection Using the Waterwheel Plant Algorithm and Sine Cosine Algorithm","authors":"Ahmed M. Elshewey, Sayed M. Tawfeek, Amel Ali Alhussan, Marwa Radwan, Amira Hassan Abed","doi":"10.1007/s11540-024-09735-y","DOIUrl":"https://doi.org/10.1007/s11540-024-09735-y","url":null,"abstract":"<p>Potato blight, sometimes referred to as late blight, is a deadly disease that affects Solanaceae plants, including potato. The oomycete <i>Phytophthora infestans</i> is causal agent, and it may seriously damage potato crops, lowering yields and causing financial losses. To ensure food security and reduce economic losses in agriculture, potato diseases must be identified. The approach we have proposed in our study may provide a reliable and efficient solution to improve potato late blight classification accuracy. For this purpose, we used the ResNet-50, GoogLeNet, AlexNet, and VGG19Net pre-trained models. We used the AlexNet model for feature extraction, which produced the best results. After extraction, we selected features using ten optimization algorithms in their binary format. The Binary Waterwheel Plant Algorithm Sine Cosine (WWPASC) achieved the best results amongst the ten algorithms, and we performed statistical analysis on the selected features. Five machine learning models—Decision Tree (DT), Random Forest (RF), Multilayer Perceptron (MLP), Support Vector Machine (SVM), and <i>K</i>-Nearest Neighbour (KNN)—were used to train the chosen features. The most accurate model was the MLP model. The hyperparameters of the MLP model were optimized using the Waterwheel Plant Algorithm Sine Cosine (WWPASC). The results indicate that the suggested methodology (WWPASC-MLP) outperforms four other optimization techniques, with a classification accuracy of 99.5%.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"6 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141165824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Ohmic Heating and Ultrasound Pretreatments on Oil Absorption and Other Quality Parameters of Fried Potato","authors":"Ferda Sari, Bige Incedayi, Nihal Turkmen Erol, Pınar Akpinar, Omer Utku Copur","doi":"10.1007/s11540-024-09740-1","DOIUrl":"https://doi.org/10.1007/s11540-024-09740-1","url":null,"abstract":"<p>In this study, the effect of pretreatments ((hot water blanching (HWB), ultrasound (US) and ohmic heating (OH)) on reducing the oil absorption of potato during frying and the changes in the quality parameters of the product ((total polyphenol (TP), in vitro digestion, total flavonoid (TF), antioxidant capacity (AC), chlorogenic acid (CA), textural and sensorial properties)) were investigated. The pretreatments applied significantly affected oil absorption and quality parameters of fried potato. The oil content of fried potatoes ranged from 26.06 to 32.01% depending on the pretreatment. OH-pretreated potato had the highest content of TP (41.27 mg GAE/100 g dry matter-DM), TF (32.89 mg RE/100 g DM) and CA (1.72 mg/100 g DM). However, there was no significant difference between the pretreatments in terms of bioaccessibility of polyphenols at the end of digestion. Also, AC value of fried potato pretreated by OH (124.13 mmol AAE/100 g DM) was higher compared to that of fresh potato (83.91 mmol AAE/100 g DM), but other two pretreatments caused a decrease in AC. The highest hardness was observed in HWB-treated potato strips. OH-treated potato had the best color parameters. Sensory data indicated that US-pretreated potato had the highest sensory scores followed by OH- and HWB-pretreated ones, respectively. Consequently, based on the above comprehensive quality evaluation, it can be suggested that OH pretreatment is a better choice for preparing deep fried potato.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"61 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting Potato Prices in Agra, UP, India: An H2O AutoML Approach","authors":"Prity Kumari, Satish Kumar M, Prashant Vekariya, Shubhra N. Kujur, Jignesh Macwan, Pradeep Mishra","doi":"10.1007/s11540-024-09726-z","DOIUrl":"https://doi.org/10.1007/s11540-024-09726-z","url":null,"abstract":"<p>The dynamics of the potato market in Agra, Uttar Pradesh, India, represent significant price volatility that affects stakeholders across the supply chain. This study addresses the critical need for accurate forecasting of potato price, which is utmost for optimising production, marketing strategies and inventory management. However, existing forecasting models often fail to provide the accuracy required for effective planning and resource allocation. This research aims to bridge this gap by investigating the potential of advanced predictive models to offer closer approximations of potato prices. Covering the period from January 1, 2006, to July 31, 2023, the methodology employed the H2O AutoML framework to identify and evaluate predictive models based on two distinct train-test split ratios, 80:20 and 70:30. The selection of the top 20 models for each configuration, assessed using the root mean square error, revealed the 70:30 split’s superior performance. Further analysis identified the top three models: stacked ensemble, gradient boosting machine and extreme gradient boosting, with the stacked ensemble model emerging as the optimal choice with forecasting errors ranging from 0.08 to 2.09% for daily prices of potato. This result illustrates the effectiveness of the stacked ensemble model in advancing strategic decision-making and resource distribution within the potato industry, with a notable improvement in the accuracy of price predictions contributing to more efficient and informed operational strategies.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"3 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multiple Transgenic Strategies Positively Regulate Cold-Induced Sweetening in Low Temperature Stored Potato Tubers","authors":"Nida Toufiq, Olawale Samuel Adeyinka, Anwar Khan, Shazia Shafique, Nusrat Jahan, Muhammad Umar Bhatti, Rida Khalid, Ayman Naeem, Qamar Abbas, Sobiya Shafique, Bushra Tabassum","doi":"10.1007/s11540-024-09733-0","DOIUrl":"https://doi.org/10.1007/s11540-024-09733-0","url":null,"abstract":"<p>Cold-induced sweetening (CIS) is a common phenomenon in many plants including potatoes that help in osmoregulation and cryoprotection. However, CIS is associated with quality deterioration in potato tubers due to accumulation of reducing sugars at low temperatures. We investigated two different strategies to modulate CIS in potato, overexpression of RING finger (<i>SbRFP1</i>) as anti-sweetening gene and by double-stranded RNA-mediated gene silencing of the vacuolar invertase gene. In silico analysis predicted that the ubiquitination activity of the RING finger protein was responsible for regulating the expression of invertase during cold-induced stress. Moreover, the in silico predicted binding stability of siRNA-mRNA duplex suggested efficient gene silencing of the invertase gene. We successfully generated four single and three dual transgenic potato lines that were positive for transgene insertion and integration as revealed in PCR and Southern blot. The amount of reducing sugars found in tubers obtained from single transgenics showed maximum decrease of 1.67 folds while tubers obtained from dual transgenic line depicted 4.86 folds reduced accumulation of reducing sugars compared to non-transgenic control when analyzed through HPLC analysis post 60-day storage at low temperature (4°C). Further, the invertase activity was 1.46 folds reduced in single transgenics while this reduction was 2.13 folds in dual transgenics. The downregulation of the invertase gene was up to 3.36 folds in dual transgenic potato lines, 2.26 folds in single transgenic compared to control, non-transgenic post 60-day cold storage at low temperature. Conclusively, the utilization of multiple strategies to regulate CIS in low-temperature stored potato tubers positively regulate CIS in transgenic potatoes and can be employed to generate CIS resistant potato varieties.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"26 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative Interpretation of Structural, Functional, Phytochemical and Pasting Profile of Coloured Variety Potato Flakes Prepared Using Different Drying Techniques","authors":"Rajni Saini, Sukhpreet Kaur, Poonam Aggarwal, Atul Dhiman, Sumit Grover","doi":"10.1007/s11540-024-09738-9","DOIUrl":"https://doi.org/10.1007/s11540-024-09738-9","url":null,"abstract":"<p>The present study investigated the effects of different drying methods (drum and tray drying) on overall quality of potato flakes prepared from <i>Lady Rosetta</i> (LR) (white fleshed potato) and <i>PP-1901</i> (purple potato) varieties. It was found that drum drying had more significant (<i>p</i>&lt;0.05) effect in reducing the colour values of flakes. Drum dried (DD) samples showed higher values of water and oil absorption capacity than tray dried (TD) samples for both varieties. Purple variety flakes had significantly very high values of phytocompounds in comparison to white fleshed flakes. Regardless of the varieties, TD flakes had higher values of total phenolics, flavonoids and anthocyanin contents than DD which was attributed to more heat severity in case of drum drying. Also, ascorbic acid content and antioxidant activity were higher in TD samples. Higher retention of phytocompounds in TD samples was also confirmed using Fourier transform infrared spectroscopy. Due to more pregelatinisation, DD samples had the highest changes in its crystallinity and had the lowest value of pasting temperature indicating the lowest cooking temperature confirmed using X-ray diffraction and rapid viscoanalyser, respectively. <i>Practical application:</i> Potato flakes are utilised as an ingredient in extruded snacks, potato chips, soups, snack pellets, rolls or bakery products. Utilising coloured variety potatoes for developing flakes can give a healthier option to consumers. The present study is the first one to develop coloured potato flakes by using drum and tray dryer along with investigating their effect on the potato matrix. These dryers are widely adopted commercially from past many decades.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"16 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Seed Tuber Size of Potato Varieties on Fungicide Spray Regime, Weed Infestation and Net Farm Income in Potato Production","authors":"J. M. Kilonzi, D. Githui, P. Pwaipwai, C. Kawira, S. Otieno, J. Kelele, N. Ng’ang’a, M. Nyongesa, J. Mafurah, A. Kibe","doi":"10.1007/s11540-024-09708-1","DOIUrl":"https://doi.org/10.1007/s11540-024-09708-1","url":null,"abstract":"<p>Field studies were conducted to determine the contribution of seed tuber size on late blight management, weed abundance, crop performance and net farm income. Seed tuber sizes were as follows: small size (15 to 27 mm), size 1 (28–35 mm), size 2 (36–45 mm) and size 3 (46–60 mm) of Shangi, Kenya Mpya, Unica and Dutch Robijn potato varieties. Fungicide spray regimes were weekly, biweekly and triweekly. Data on late blight severity, weed frequency and density, growth parameters, costs and revenues were collected. Results revealed that seed tuber size, variety and fungicide application regime had significant (<i>P</i> ≤ 0.05) effects on late blight severity. As such, weekly spray intervals reduced blight severity by 50%, and the blight-tolerant variety (K. Mpya) suppressed the disease to below 1%. Whereas the lowest disease severity was observed on seed sizes 2 (44%) and 3 (43%), the highest blight score was recorded in small seed size (59%) after 70 days of emergence. Notwithstanding the variety used, a combination of seed size 2 with weekly spray interval showed the lowest disease progression as compared to any other combination. Crop growth parameters differences were phenomenal among seed sizes: stem count increased six-fold, while height and canopy were double the observation made in the small seed size for seed sizes 2 and 3. Weed frequency, relative frequency and density decreased with increasing seed size planted. As a result, seed tuber sizes 1, 2 and 3 augmented marketable yield by 49%, 62% and 65% as compared to the small tuber size, respectively. However, seed size 2 had the highest cost–benefit ratio (1.50), followed by size 3 (1.05).</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"15 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potato in India: Its Growth, Trend and Export","authors":"Mrittika Das, Bankim Sarkar, P. K. Sahu, Ali Jamil Othman, Sushmita Ranjan","doi":"10.1007/s11540-024-09732-1","DOIUrl":"https://doi.org/10.1007/s11540-024-09732-1","url":null,"abstract":"<p>The study of production behaviour, growth, trend and export of potatoes from India, the second largest producer, is of utmost importance for food and nutritional security. Using time series data on area, production, productivity and export, the analysis reveals that along with the traditional potato producing states the non-traditional states viz. Gujarat, Madhya Pradesh, etc. have come up significantly to enrich the Indian potato basket. Gujarat is showing maximum growth in area and production with a compound annual growth rate of 6.47 and 8.86, respectively, and likely to be the best yielder during 2025–2026. The study reveals that Nepal, Oman, Sri Lanka, Saudi Arabia, Malaysia have changed their import scenario with declining Sri Lankan import. Under pressure on natural resources the study advocates for attaining maximum productivity per unit of resource use and export.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"12 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global Potato Production Forecasting Based on Time Series Analysis and Advanced Waterwheel Plant Optimization Algorithm","authors":"Amel Ali Alhussan, Doaa Sami Khafaga, Mostafa Abotaleb, Pradeep Mishra, El-Sayed M. El-Kenawy","doi":"10.1007/s11540-024-09728-x","DOIUrl":"https://doi.org/10.1007/s11540-024-09728-x","url":null,"abstract":"<p>The cultivation of potatoes is one of the most important parts of the world’s agricultural system, so forecasting methods that can precisely predict the direction of production are needed. We focus on the area of optimization techniques herein in this study and develop a particular use of metaheuristic algorithms applied to improve predictive models. Among such algorithms, the Waterwheel Plant Algorithm (WWPA) is notable for its efficiency in enhancing the autoregressive integrated moving average (ARIMA) model. Feature selection, an essential preprocessing step in machine learning, is of the highest significance in our approach. We apply the bWWPA method to select the most central features from the dataset, which, in turn, improves the whole predictive model’s performance. Through the identification of the main patterns and links in the data, feature selection allows for the model to focus on the most influential factors, giving way to more precise predictions. The WWPA-ARIMA model obtained by our method captures the essential features after optimization and thus involves a very low root mean square error (RMSE) of 0.0001. Such a high level of precision emphasizes the efficiency of our optimization procedure in adjusting the ARIMA model parameters carefully to reveal the hard-to-catch patterns in potato production data. To evaluate the robustness of our method, we employ strong statistical analyses, such as ANOVA and the Wilcoxon signed-rank test. This test also gives additional evidence that our optimization method works better than alternative approaches.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":"117 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}