Potato Research最新文献

{"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":null,"pages":null},"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":"Optimization of Process Parameters for Microwave Drying of Yellow- and Purple-Fleshed Potatoes","authors":"Katibe Sinem Coruk, Hande Baltacıoğlu","doi":"10.1007/s11540-024-09725-0","DOIUrl":"https://doi.org/10.1007/s11540-024-09725-0","url":null,"abstract":"<p>The main objective of the present work was to study the optimization of microwave drying of potatoes that have different flesh colors. The effects of independent variables of microwave power (300, 450, 600 W), slice thickness (2–4, 6 mm), and steam blanching time (2, 5, 8 min) on the color, total phenolic content (TPC), antioxidant activity, starch ratio, and total monomeric anthocyanin content (TMA) were investigated by using the Response Surface Methodology (RSM). Before drying, potato slices that had different thicknesses were blanched in steam at 90 °C for indicated times. Optimization was applied to improve bioactive compounds, starch ratio, and color. The optimum drying parameters were determined as 300 W, 6 mm, and 8 min for purple-fleshed potatoes, and 450 W, 6 mm, and 2 min for yellow-fleshed potatoes. This study is beneficial to the development of the processing of potatoes in the food industry and provides more insights into the application of microwave drying technology.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931359","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":null,"pages":null},"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}

{"title":"Potato Production Forecasting Based on Balance Dynamic Biruni Earth Radius Algorithm for Long Short-Term Memory Models","authors":"S. K. Towfek, Amel Ali Alhussan","doi":"10.1007/s11540-024-09721-4","DOIUrl":"https://doi.org/10.1007/s11540-024-09721-4","url":null,"abstract":"<p>Potatoes stand as one of the most vital staple crops globally, providing essential nourishment and sustenance to millions of people worldwide. Their significance lies in their versatility, nutritional richness, and ability to thrive in diverse climates, making them crucial for global food security. However, accurately forecasting potato production is paramount for effective agricultural planning and ensuring an adequate food supply. In this research endeavour, we introduce a novel approach to enhance the precision of potato production forecasts using advanced machine learning techniques. Our methodology revolves around employing long short-term memory (LSTM) models, which are optimised through the innovative Balance Dynamic Biruni Earth Radius Optimization Algorithm (BDBER). This algorithm dynamically adjusts exploration and exploitation strategies, effectively navigating the solution space to optimise the parameters of the LSTM model. By harnessing the power of machine learning and algorithmic optimization, we aim to improve the accuracy of annual potato production forecasts. To evaluate the efficacy of our approach, we compare the performance of the optimised LSTM models with traditional machine learning algorithms. Various performance metrics are scrutinised, and statistical tests, including ANOVA and Wilcoxon signed rank tests, are conducted to bolster the credibility of our findings. Our analysis reveals that the LSTM models optimised by BDBER surpass alternative methods, exhibiting superior accuracy and stability in potato production forecasting. Notably, the root mean square error (RMSE) of 0.00899 and fitted time of 0.00449 underscore the robustness of our approach. This study represents a pivotal contribution to the advancement of agricultural forecasting techniques. By providing more accurate and reliable predictions, our methodology equips policymakers and stakeholders with invaluable insights for informed decision-making. Ultimately, our research endeavours to bolster global food security and promote sustainable agricultural practices.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140838833","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 Priming and Drought in the Andean Desert Wild Potato Solanum kurtzianum","authors":"D. N. Jerez, C. V. Gonzalez, P. C. Kozub, V. N. Ibañez, F. Berli, C. F. Marfil","doi":"10.1007/s11540-024-09723-2","DOIUrl":"https://doi.org/10.1007/s11540-024-09723-2","url":null,"abstract":"<p>Priming is a phenomenon that has received special interest in recent years to better understand plant acclimation to environmental cues and its potential use in improving the drought response in susceptible crops. Crop wild relatives (CWR) play a role in natural ecosystems, are part of agrobiodiversity, and represent essential genetic resources for crop breeding. Although priming to drought has been demonstrated in the cultivated potato (<i>Solanum tuberosum</i>), it has been overlooked in potato CWR. <i>Solanum kurtzianum</i> is an Argentinian wild potato species adapted to arid conditions and represents a promissory model to study drought memory. The aim of the study was to evaluate the priming effect in two genotypes of <i>S. kurtzianum</i> of contrasting drought tolerance (G1 and G2). We obtained plants from tubers of a previous experiment, where plants were subjected to well-watered (non-primed) and moderate water-deficit (primed) conditions. Primed and non-primed plants were then grown under three irrigation treatments: i) well watered (WW), ii) moderate water deficit (MWD), and iii) severe water deficit (SWD). Morphological, physiological, biochemical, and yield traits were evaluated. Both genotypes presented higher biomass when they were exposed to a previous water deficit. G1 primed plants showed major above-ground biomass in MWD, whereas G2 primed plants showed major stolon biomass in SWD. According to drought tolerance indices, primed plants were more tolerant to water deficit than the non-primed ones. These results suggest that there are different priming effects to drought that would favour sexual or asexual modes of reproduction in the Andean desert potato <i>S. kurtzianum.</i></p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140812946","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":"Plant Growth Adaptations of Chilean Native Potato Under Higher Soil and Air Temperature: A Field Comparative Study","authors":"Andrea Ávila-Valdés, X. Carolina Lizana, Claudio Pastenes","doi":"10.1007/s11540-024-09724-1","DOIUrl":"https://doi.org/10.1007/s11540-024-09724-1","url":null,"abstract":"<p>A slight increase in air or soil temperature above the optimal range for potato cultivation can affect its performance in different regions of the world. To assess the potential impacts of future climatic conditions in southern Chile, a field experiment was conducted in two growing seasons (2021/2022 and 2022/2023) to examine the effects of an increase in air (+ 3–4 °C) and soil (+ 2–3 °C) temperatures on biomass accumulation and growth dynamics of one modern potato genotype and three Chilean native potato genotypes. To increase the temperature during the entire crop cycle, passive heating systems (i.e. open-top chambers and polyethylene mulch) were employed in this study. Our results showed that the commercial genotype Asterix had a yield reduction across all warmer treatments due to increased air and/or soil temperature. In contrast, the Chilean native potatoes had a comparative advantage against high air temperatures but not against higher soil temperatures. As expected, tuber yield changes coincided with variations in architecture and growth dynamics, differing among the different potato genotypes. Warmer soils would strongly influence the partitioning of assimilates to tubers, resulting in lower yields at higher temperatures.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140805364","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":"Assessing the Impact of Sulfur Application on Potato Sulfur Uptake and Yield in Sandy Soils of Florida","authors":"Ayush K. Sharma, Lincoln Zotarelli, Christian Christensen T, Lakesh K. Sharma","doi":"10.1007/s11540-024-09727-y","DOIUrl":"https://doi.org/10.1007/s11540-024-09727-y","url":null,"abstract":"","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140666023","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":"Response of Indian Potato Varieties to Nitrogen Fertilization Regarding Growth, Nutrient Uptake, and Tuber Yield","authors":"Renu Yadav, V. P. S. Panghal, Rahul, Ram Prakash","doi":"10.1007/s11540-024-09710-7","DOIUrl":"https://doi.org/10.1007/s11540-024-09710-7","url":null,"abstract":"<p>One of the major challenges for potato producers is to maximize its yield and quality by properly managing the nitrogen fertilization. An experiment was conducted under North-Western Indian conditions during two consecutive years with two potato varieties, i.e. Kufri Surya and Kufri Sadabahar under five nitrogen levels (0, 75, 150, 225, and 300 kg/ha) in a randomized block design (factorial) with three replications. The results revealed that most of the growth parameters and NPK uptake by haulms were maximum at 300 kg/ha nitrogen level that was statistically at par with nitrogen level 225 kg/ha, while for yield parameters and NPK uptake by tubers, nitrogen level 225 kg/ha was the best with the highest value. It depicts that crop yield parameters are negatively affected by the nitrogen dose of above 225 kg/ha. So far the variety is concerned, Kufri Sadabahar was significantly better for all the noted growth and yield parameters as well as NPK uptake by tubers and haulms than the variety Kufri Surya. Regarding the soil fertility behaviour after harvest of the crop, higher left over nitrogen in soil was recorded for the highest applied nitrogen dose, whereas phosphorus and potassium left over in soil was recorded more where no nitrogen was applied (control plot), which was closely followed by 75 kg/ha nitrogen level. The results provide useful recommendations for the improvement of nitrogen fertilization rate for these two varieties in sub-tropical region of north western India in Haryana state.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574823","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":"Soil Water Stress Effects on Potato Tuber Starch Quality Formation","authors":"Yong Zhen Ma, Nian Pan, Wang Su, Feng Jun Zhang, Guang Ji Ye, Xiu Qin Pu, Yun Zhou, Jian Wang","doi":"10.1007/s11540-024-09720-5","DOIUrl":"https://doi.org/10.1007/s11540-024-09720-5","url":null,"abstract":"<p>Soil water stress has a significant impact on crop physiology, however, the specific response of starch quality formation in potato tubers remains unreported. Here, two potato (<i>Solanum tuberosum</i> L.) varieties, one with high, and the other with low tuber starch content, were grown in pots under three different soil water stress treatments, maintaining 75, 50 and 25% of soil field capacity, respectively. Soil water stress restricted potato plant growth and development, and severe stress reduced tuber yield by 47.8% relative to the control. It also inhibited tuber starch biosynthesis, which declined by 62.4% (AGPase activity) relative to the control. Furthermore, water stress reduced tuber starch accumulation by 23.6% (total starch content) relative to the control, and finally, it shortened the tuber starch gelatinization process by 1.44% (pasting temperature) compared to the control. These results reflect the soil water stress regulation mechanism on starch formation and potato tuber quality. Moreover, the study provides a scientific basis for breeding of varieties with high starch content, for improving starch quality and high-efficiency cultivation in dryland potato production.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574747","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":"Optimising Technological Treatments with the Taguchi Approach to Reduce Acrylamide and Improve Colour Properties in Potato Chips","authors":"Dilek Koyuncu, Ayhan Duran","doi":"10.1007/s11540-024-09719-y","DOIUrl":"https://doi.org/10.1007/s11540-024-09719-y","url":null,"abstract":"<p>Today, consumer demand for food safety, especially in fried foods, is increasing. In the first place, it is demanded to reduce the amount of food toxins, in particular toxins resulting from the thermal process such as acrylamide. This study aimed to examine the effect of different technological treatments on the optimisation of minimum acrylamide and maximum colour properties by applying the Taguchi approach in the production of chips. In this study, design of experiments, signal-to-noise (S/N) ratio, analysis of variance, and regression analysis methods were used to optimise the minimum acrylamide and redness (<i>a</i>^*), maximum brightness (<i>L</i>^*), and yellowness (<i>b</i>^*) values. The optimal parameters for acrylamide were found to be 90 °C slice washing temperature, 175 °C frying temperature, and 175 s frying time. The optimal parameters for colour analysis were determined as 30 °C slice washing temperature, 175 °C frying temperature, and 175 s frying time. Analysis of variance showed that frying temperature and time had a significant (<i>p</i> &lt; 0.05) effect on the results. It was determined that a decrease in frying temperature and time led to a decrease in the amount of acrylamide and redness and an increase in brightness and yellowness. According to the results of the analysis of variance, the most effective technological treatments were frying temperature with effect rates of 37.45% and 60.26% for acrylamide and <i>L</i>^* values, respectively, and frying time with effect rates of 40.50% and 44.19% for <i>a</i>^* and <i>b</i>^* values, respectively. As a result of the study, through the Taguchi method, while quality features in chips were preserved, the amount of acrylamide was reduced.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574744","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}