Potato Research最新文献

{"title":"Decoding Potato Power: A Global Forecast of Production with Machine Learning and State-of-the-Art Techniques","authors":"Shikha Yadav, Abdullah Mohammad Ghazi Al khatib, Bayan Mohamad Alshaib, Sushmita Ranjan, Binita Kumari, Naief Alabed Alkader, Pradeep Mishra, Promil Kapoor","doi":"10.1007/s11540-024-09705-4","DOIUrl":"https://doi.org/10.1007/s11540-024-09705-4","url":null,"abstract":"<p>As the second largest potato producer globally, reliable forecasts of output for India and major growing states are crucial. This study developed autoregressive integrated moving average (ARIMA) models alongside state space and gradient boosting machine learning techniques for annual potato production spanning 1967–2020. Model adequacy was evaluated using information criteria, errors metrics and out-of-sample validation. The chosen models provide the following forecasts: India is predicted to produce around 46,712 thousand metric tons, Uttar Pradesh 13,900 thousand metric tons, West Bengal 11,544 thousand metric tons, Bihar 7710 thousand metric tons, Madhya Pradesh 3478 thousand metric tons, Gujarat 3621 thousand metric tons and Punjab 2870 thousand metric tons over the period 2021–2027. While no consistent superior approach emerged, tailoring models to capture data complexity and patterns for each state proved essential for generalization. Quantitatively assessing linearity, stationarity and outliers during model specification is key for stakeholders and policymakers needing precise predictions.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139978780","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":"Factors Affecting the Performance of a Potato Digger—A Review","authors":"Neeraj Singh Parihar, Sushil Sharma, Sanjay Khar","doi":"10.1007/s11540-024-09704-5","DOIUrl":"https://doi.org/10.1007/s11540-024-09704-5","url":null,"abstract":"<p>Potatoes, a cornerstone of Indian agriculture, hold immense nutritional value, contributing significantly to vitamin-rich, low-cost carbohydrates. The efficiency of potato harvesting is paramount, requiring a timely and well-coordinated process. This review encapsulates the historical progression in potato harvesting, from manual approaches to the adoption of various potato diggers—animal-drawn, power tiller-operated, engine-operated, tractor-drawn, and self-propelled, categorized by their power sources. The study emphasizes key design parameters influencing digger performance, such as forward speed, rake angle, digging depth, sieve oscillation, and digging share types. This comprehensive exploration aims to enhance our understanding of potato diggers’ diverse landscape, fostering informed decisions for sustainable and efficient harvesting.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139952813","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":"A Systematized Review on the Applications of Hyperspectral Imaging for Quality Control of Potatoes","authors":"Carlos Miguel Peraza-Alemán, Ainara López-Maestresalas, Carmen Jarén, Niuton Rubio-Padilla, Silvia Arazuri","doi":"10.1007/s11540-024-09702-7","DOIUrl":"https://doi.org/10.1007/s11540-024-09702-7","url":null,"abstract":"<p>The application of hyperspectral imaging (HSI) has gained significant importance in the past decade, particulary in the context of food analysis, including potatoes. However, the current literature lacks a comprehensive systematic review of the application of this technique in potato cultivation. Therefore, the aim of this work was to conduct a systematized review by analysing the most relevant compounds, diseases and stress factors in potatoes using hyperspectral imaging. For this purpose, scientific studies were retrieved through a systematic keyword search in Web of Science and Scopus databases. Studies were only included in the review if they provided at least one set of quantitative data. As a result, a total of 52 unique studies were included in the review. Eligible studies were assigned an in-house developed quality scale identifying them as high, medium or low risk. In most cases the studies were rated as low risk. Finally, a comprehensive overview of the HSI applications in potatoes was performed. It has been observed that most of the selected studies obtained better results using linear methods. In addition, a meta-analysis of studies based on regression and classification was attempted but was not possible as not enough studies were found for a specific variable.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139927058","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":"Advancements in Spongospora subterranea: Current Knowledge, Management Strategies, and Research Gaps","authors":"","doi":"10.1007/s11540-024-09701-8","DOIUrl":"https://doi.org/10.1007/s11540-024-09701-8","url":null,"abstract":"<h3>Abstract</h3> <p>Powdery scab was first documented on locally sampled potatoes in Braunschweig, Germany. A hundred and eighty-one years later, the disease has spread globally to most potato-producing regions and is considered one of the most destructive potato diseases. Here, we review the knowledge of powdery scab and causative agent, <em>Spongospora subterranea</em> f. sp. <em>subterranea</em>, highlighting research progress made in the last 7 years. Much work has been done to increase our understanding of how zoospores respond to their environment (e.g. root exudates, Ca₂C signalling, and root metabolites) and the management of the disease by chemical and biological control agents. Recent research has utilised omics approaches — metabolomics, proteomics, and genomics — to gain a deeper understanding of the host–pathogen interaction in the powdery scab pathosystem. The management of powdery scab can be achieved using a combination of strategies that include (1) the planting of resistant potato varieties, (2) strategies that avoid disease (field selection and planting date), those that (3) reduce initial soil inoculum (crop rotation, organic soil amendments, and soil fumigation), and (4) in-crop approaches (soil chemical applications, biological control, proper field, fertility, crop, irrigation management, and crop sanitation). Lastly, we discuss research gaps for future research, including the disease’s interaction with other potato diseases that may be impacting disease expression and opportunities to enable a greater understanding of the powdery scab pathosystem.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139751150","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":"Development and Validation of an Optoelectronic Method for the Assessment of Frying Colours of French Fries Based on RGB Colour Values","authors":"Michaela Laumer, Adolf Kellermann, Franz-Xaver Maidl, Kurt-Jürgen Hülsbergen, Thomas Ebertseder","doi":"10.1007/s11540-024-09700-9","DOIUrl":"https://doi.org/10.1007/s11540-024-09700-9","url":null,"abstract":"<p>High frying quality in terms of frying colour is an important trait for potatoes meant for French fry production. Determination of frying colour is often performed visually, which might be affected by biases and is therefore less suitable for research. Available laboratory methods also lack the capability to cover the whole sample and distinguish between tuber parts. Additionally, sample destruction is often required for colour analysis. Therefore, a new approach using RGB colour values and the subsequent R/G ratio of French fries to assess frying colour was tested in this research. Over the course of 3 years, 673 samples of the cultivar <i>Innovator</i> were assessed and compared to visual scoring, and some samples were also assessed for glucose content. A high correlation of <i>R</i>² = 0.8346 between the visual scoring and the optoelectronic assessment was found for 633 samples. The validation data set of 40 samples reached a correlation of <i>R</i>² = 0.7850 with the implemented model. These results show that French fry frying colour can be described using the R/G ratio. This promising approach is suitable for other researchers as well as industry professionals with further research.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139751152","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":"Utilization of Antagonistic Bacteria for Managing Potato Brown Leaf Spot Caused by Alternaria tenuissima and Plant-Associated Biochemical Changes During Disease Development","authors":"Ebrahim Salari, Sareh Baghaee-Ravari","doi":"10.1007/s11540-024-09693-5","DOIUrl":"https://doi.org/10.1007/s11540-024-09693-5","url":null,"abstract":"<p>The incidence of brown leaf spot, attributed to <i>Alternaria tenuissima</i>, has exhibited an increase within potato fields in Iran. The economic losses caused by brown leaf spot and detection of cross-resistance among commonly used fungicides have incited research towards identifying alternative biocontrol sources to manage this aggressive pathogen in combination with chemicals. Among bacterial isolates that showed inhibition of <i>A. tenuissima</i> growth, the tested biocontrol properties and plant growth-promoting (PGP) characteristics varied. Three strains with antifungal traits and one strain with PGP capacity were chosen for further in vitro and in vivo experiments. They were identified as <i>Bacillus halotolerans</i>-H14, <i>Bacillus</i> sp.-H52, <i>Serratia polymuthica-</i>FR1, and <i>Stenotrophomonas</i> sp.<i>-</i>J29, respectively, using a combination of phenotypic traits and 16S rRNA sequencing. In co-culturing assays with the aforementioned bacterial strains, it was observed that they induced hyphal structural deformation and suppressed spore germination of <i>A. tenuissima.</i> Monitoring of the disease symptoms showed the ability of H14, FR1, and J29 to decrease disease severity under in vivo challenge experiments. Moreover, the role of aforementioned bacteria was studied in activation of potato defence pathways against <i>A. tenuissima</i>. During <i>Solanum tuberosum-A. tenuissima</i> interaction, biochemical attributes related to defence response such as superoxide and hydrogen peroxide production, redox enzymes (catalase, superoxide dismutase, ascorbate peroxidase, and guaiacol peroxidase), phenylalanine ammonia-lyase activity, and accumulation of total phenolics were markedly increased in potato plants pre-treated with <i>Stenotrophomonas</i> sp.-J29 and <i>Serratia plymuthica-</i>FR and post-inoculated with <i>A. tenuissima</i>. This study provides the initial evidence demonstrating the potential role of <i>Bacillus halotolerans</i>, <i>Serratia plymuthica</i>, and <i>Stenotrophomonas</i> sp. as prohibitor of disease progression as well as biological inducer of resistance in potato—<i>A. tenuissima</i> interplay.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139751161","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":"Economic Impact of Early Bulking and Drought-Tolerant Potato Cultivar Kufri Pukhraj in India","authors":"N. K. Pandey, Pynbianglang Kharumnuid, Sant Kumar, S. K. Chakrabarti, Vinay Bhardwaj","doi":"10.1007/s11540-024-09690-8","DOIUrl":"https://doi.org/10.1007/s11540-024-09690-8","url":null,"abstract":"<p>Adoption of high-yielding, early maturing and drought-resistant varieties is a good adaptation strategy to cope with the adverse effects of climatic events like frequent occurrence of drought and heat stress. Kufri Pukhraj, an early bulking cultivar that is, drought tolerant and moderately resistant to late blight, is the most popular potato variety in India, covering 33% of total potato area. This paper assesses the gross returns from the investment in Kufri Pukhraj using the economic surplus method in a closed economy condition at all-India level. Time-series published data from various sources have been used in this study. A total of 41-year period (1978–2018) is considered to estimate the benefits in an ex-post framework using actual data. The analysis of varietal diversity of potato revealed that 11 out of 66 varieties are most popular and share about 75% of total potato area in India. These varieties are early-to-medium maturing and medium-to-high tolerant to drought. The findings show that R&amp;D investment on Kufri Pukhraj has led to enormous benefits to both consumers and producers. The total surplus accrued to economy is estimated as Rs 540,840 million during 1978 to 2018. The net present value of returns was Rs 157,720 million and Rs 63,600 million at 5% and 8%, respectively. The study has found internal rates of return of 48%, which is a good rate of returns. Sensitivity analyses also showed good returns, with total economic surplus ranging from Rs 293,220 million to Rs 814,950 and internal rates of return ranging between 45 and 50%. Results imply that the investment in R&amp;D of Kufri Pukhraj has proven to be successful and beneficial in India. The study recommends that other popular varieties equipped with other traits should be evaluated for shaping future research policies of potato.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139751163","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":"New Potato Varieties Resistant to Late Blight and with High Quality for French Fries Generated in Peru","authors":"Manuel Gastelo, Willmer Pérez, Raul Eyzaguirre, Katherine Quispe, Kimberlayn Sanabria, Carolina Bastos, Ronal Otiniano, Juan M. Pérez, Alejandro Mendoza, Trinidad Unda, Jorge Andrade","doi":"10.1007/s11540-024-09697-1","DOIUrl":"https://doi.org/10.1007/s11540-024-09697-1","url":null,"abstract":"<p>Potato is one of the main crops worldwide and generates income for small-scale farmers, and it is a primary component of the diet of rural inhabitants, especially in developing countries. In Peru, the demand for French fries in traditional restaurants, rotisserie chicken (“Pollerias”), and fast-food restaurants is increasing every day. However, supply is covered by imported pre-fried potatoes. During the 2019–2020 and 2020–2021 growing seasons, ten potato clones belong to the International Potato Center (CIP) breeding program, and two Peruvian varieties used for frying as controls UNICA (CIP392797.22) and INIA 303-CANCHAN (CIP380389.1) were tested in 13 trials in farmers' fields placed in the north, center, and south of Peru using a randomized complete block design with three replications of 150 plants. Late blight severity and yield were evaluated under field conditions, and the contents of dry matter and reducing sugars were determined with laboratory tests. Clones CIP395123.6, CIP396026.101, and CIP396034.103 were selected for their high level of resistance to late blight, yields over 30 t/ha, with more than 20% dry matter, less than 0.20% reducing sugars and excellent quality for French fries’ sticks. Selected clones have been registered in the official register of cultivars of Peru, as new varieties. The standard of living of small and medium-scale potato farmers can be improved with the production of these new varieties, which support the health of producers and consumers and the environment. New potato varieties can be used as parents in breeding programs around the world.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139751540","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":"Quality Evaluation and Fourier Transform Infrared (FTIR) Spectroscopy Characterization of Vodka Produced from Malted and Un-malted Potatoes Using Saccharomyces cerevisiae (MK680910)","authors":"Vishal Luthra, Keshani Bhushan, Gurvinder Singh Kocher, Arashdeep Singh","doi":"10.1007/s11540-024-09694-4","DOIUrl":"https://doi.org/10.1007/s11540-024-09694-4","url":null,"abstract":"<p>The present study aims to evaluate the suitability of un-malted (raw version) and malted (sprouted) potato variety Kufri Pukhraj for the production of vodka using the brewing yeast strain <i>Saccharomyces cerevisiae</i> (MK680910). Both un-malted and malted potatoes were subjected to 72 h of fermentation and valuated for changes in total sugars, reducing sugars and ethanol conversion. Results showed that with an increase in fermentation time from 24 to 72 h, the content of total and reducing sugars decreased significantly (<i>p</i> &lt; 0.05), resulting in a significant increase in the ethanol concentration. After 72 h of fermentation, malted potato produced the best results, with a greater substrate-to-product conversion (0.47 g ethanol g⁻¹ reducing sugars), a higher fermentation yield (91.97%), and higher ethanol content (9.82 percent v/v). Following fermentation, double distillation, clarification with activated charcoal, blending, and sensory analysis with different flavours were conducted. Vodka with ethanol concentration of 41.3% v/v was produced having 82.6 proof. Vodka blended with lemon was found to be more preferred with mean score of 8 and was of standard quality. The structural characterisation of the FTIR spectrum band at 1000 cm⁻¹ analysis correlates to C-O stretching in the volatile components and showed the presence of ethanol in the vodka.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139751423","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":"Detection of Indian Isolates of Soil and Tuber Borne Ralstonia solanacearum (Smith) Infecting Potato (Solanum tuberosum L.) Through a Colorimetric LAMP Assay","authors":"T. Archana, A. Kamalakannan, C. Gopalakrishnan, I. Johnson, L. Rajendran, S. Varanavasiappan, S. Rajesh, S. P. Thamaraiselvi","doi":"10.1007/s11540-024-09699-z","DOIUrl":"https://doi.org/10.1007/s11540-024-09699-z","url":null,"abstract":"<p>Bacterial wilt caused by <i>Ralstonia solanacearum</i>, is one of the most notorious plant diseases of potato and causes severe yield losses globally. <i>R. solanacearum</i> produces fluidal white coloured colonies with a light pink centre on casamino acid-peptone-glucose medium. Bacterial wilt pathogen is soil as well as tuber borne, so early detection of bacterial wilt pathogen is necessary to take up timely management practices. Traditional methods used for detection of <i>R. solanacearum</i> are labour-intensive, expensive, time-consuming and can be carried out only in well-equipped laboratories. Hence, the present study was aimed to develop a loop-mediated isothermal amplification (LAMP) assay for <i>R. solanacearum</i>, as an alternative approach for quick and efficient detection of the bacterial wilt. LAMP reaction mix was optimized by adjusting the concentrations of MgSO_4, dNTPs, betaine, and time, temperature etc. The optimum temperature and time for the detection of <i>R. solanacearum</i> were 65 °C and 50 min, respectively. The positive samples showed colour change from violet and were reconfirmed in 2% agarose gel electrophoresis which produced ladder like bands. The LAMP assay developed was highly specific to detect <i>R. solanacearum</i> from other bacteria and sensitive with a lowest detection limit of 10 pg/µl of template DNA. The developed LAMP assay was validated with <i>R. solanacearum</i> isolates, infected stems, tubers and soil, and also, it was capable of detecting latent infection of <i>R. solanacearum</i> in seed tubers. Hence, the LAMP assay protocol provides a rapid, specific and sensitive tool for the latent detection of <i>R. solanacearum</i> in seed potato tubers.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139666954","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}