Potato Research最新文献

This study goes into the essential challenge of estimating potato output in order to ensure sustainable agricultural practices while also providing vital insights into global market patterns. The potato production data series compares the accuracy of two popular forecasting models, ARIMA (AutoRegressive Integrated Moving Average) and ETS (Error-Trend-Seasonality), in predicting potato production. The study assesses the efficacy of these models with a particular focus on their relevance to the agricultural markets of India, China, and the USA, three major potato-producing countries. This research builds ARIMA and ETS models and thoroughly assesses their forecasting performance using historical production data series from these important nations. The results show that the ETS model, especially when considering the chosen countries, consistently performs better in predicting potato production for the testing data set than the ARIMA model. According to the models, China and India will keep contributing more to the potato market, solidifying their positions as key players. It is anticipated that the US economy will plateau and stabilize. For the anticipated year 2027, the expected potato output for China, India, and the USA is 100,417, 61,882, and 18,229 thousand tonnes, respectively. Nonetheless, the increasing diversity of confidence intervals in extended forecasts illustrates the intricacy of agricultural productivity and the numerous factors that could impact outcomes. We believe that this research significantly advances sustainable farming methods by offering a thorough analysis of worldwide potato production projections. It also improves our comprehension of the dynamics of the potato market, providing insightful information that can guide decision-making at different levels. In the conclusions, we stated that the studies not only have consequences for the potato sector, but they also highlight how crucial it is to use cutting-edge forecasting methods in order to promote sustainable food production and guarantee future food security.

Water scarcity affects more than 40% of the population; in addition, 70% of all water extracted from aquifers is used for irrigation, reducing its availability for human consumption. Therefore, irrigation of crops with wastewater helps reduce water scarcity. In Mexico, high chemical oxygen demand (COD)-value wastewater is generated by the cooking process of corn (Zea mays). In this work, the use of this effluent for the irrigation of potato crops (Solanum tuberosum) is proposed. Four treatments were applied: (A) water, (B) water with fertiliser, (C) 100% wastewater and (D) 50% wastewater, both residual effluent of the cooking corn process. In the determination of biomass, in the number of leaves, there were no differences between the treatments; instead, for the height of the plants, A and B were higher for day 32. Treatment B obtained the highest production of tubers, followed by treatment A. Treatment C achieved 80% of the production of treatment A, suggesting that the components of the wastewater can be used as nutrients by potato plants. Being necessary for a study on the affectation on soil fertility, the use of treated wastewater to irrigate crops represents a viable alternative to reduce the effluents commonly discharged into natural spaces. Furthermore, if the composition of the treated wastewater is known, a water resource added with the compounds present that can improve the crop can be offered as a source of water to mitigate its increasingly high scarcity worldwide.

This study investigated the influence of supplemental irrigation (SI) on yearly variation in potato yield and associated economics in a humid climate. On-farm trials were conducted in four to five fields annually in Prince Edward Island, Canada from 2019 to 2022. The research involved four different treatments: rainfed production as the control group, irrigation following conventional practices, irrigation guided by soil moisture monitoring, and irrigation guided by soil moisture monitoring coupled with a 20% reduction in fertilizer input. While six commonly-grown russet potato cultivars were used, local standard cultural practices were followed at all sites. In 2019 SI significantly increased marketable yields (MY), which was primarily attributed to a drought period that extended from July to early August. Similarly, in 2020 SI led to a substantial rise in MY due to growing season rainfall being significantly lower than the optimal water demand for the potato plant. Conversely, in 2021 and 2022, when rainfall was relatively sufficient and evenly distributed, farmers either refrained from irrigating or employed minimal irrigation rates, resulting in negligible MY responses. Tuber yield increase as a result of SI varied with rainfall and thus fluctuated yearly. Cross-year comparisons revealed that SI can effectively mitigate annual fluctuations in tuber yield. A cost–benefit analysis indicated that employing SI to minimize yearly variation in tuber yield can be either profitable or unprofitable in the long term, and is contingent on the costs linked to irrigation equipment, the water supply system, operational aspects, field scale, and rainfall distribution. These findings hold significance for guiding decisions in water management for potato production in humid environments.

Abstract

In the 2018/19 growing season, a multi-environment trial in Opiki, Hastings, and Ohakune located in three different regions of the North Island of New Zealand was conducted to evaluate responses of selected potato cultivars to abiotic stress associated with climate change. Heat and drought stresses were evident with supra-optimal temperatures (> 25 °C) in Opiki and Hastings and sub-optimal rainfall (< 500 mm) in Opiki, which influenced the different morpho-physiological characteristics of the potato crop, ultimately affecting yield and tuber quality. These abiotic stresses also increased the incidence of malformation, growth cracks, and second growth in tubers reducing the total and marketable tuber yields by 43% and 45%, respectively. In addition, the genotype × environment analysis showed that Ohakune had the most favourable environmental conditions for potato production since all cultivars in this site had superior marketable tuber yields. ‘Taurus’ was the most stable and adaptable cultivar across trial sites (wide adaptation), whilst ‘Hermes’ and ‘Snowden’ were more adapted under Opiki and Hastings conditions (specific adaptation), respectively. As established in this study, heat and drought stresses have significant effects on the morpho-physiology, yield, and tuber quality of commercial potato cultivars in New Zealand.

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.

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.

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.

Abstract

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, Spongospora subterranea f. sp. subterranea, 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.

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 Innovator were assessed and compared to visual scoring, and some samples were also assessed for glucose content. A high correlation of R² = 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 R² = 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.

The incidence of brown leaf spot, attributed to Alternaria tenuissima, 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 A. tenuissima 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 Bacillus halotolerans-H14, Bacillus sp.-H52, Serratia polymuthica-FR1, and Stenotrophomonas sp.-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 A. tenuissima. 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 A. tenuissima. During Solanum tuberosum-A. tenuissima 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 Stenotrophomonas sp.-J29 and Serratia plymuthica-FR and post-inoculated with A. tenuissima. This study provides the initial evidence demonstrating the potential role of Bacillus halotolerans, Serratia plymuthica, and Stenotrophomonas sp. as prohibitor of disease progression as well as biological inducer of resistance in potato—A. tenuissima interplay.