Potato Research最新文献

{"title":"Response of Potato Growth and Yield to Drought Scenarios Based on APSIM-Potato in the Single-Cropping Region in Northern China","authors":"Xin-Lan Luo, Yue Sun, Li-Min Liu, Li-Wei Wang, Xi-Ning Gao","doi":"10.1007/s11540-024-09713-4","DOIUrl":"https://doi.org/10.1007/s11540-024-09713-4","url":null,"abstract":"<p>As a result of climate warming, the frequency and intensity of droughts have increased. Potato planting and production activities in the single-cropping region in Northern China are affected by drought, which poses a threat to regional food security. Based on this, this paper took potatoes in the single-cropping region in Northern China as the research object and combined the Agricultural Production Systems Simulation (APSIM) model and mathematical statistics methods to complete the evaluation of the applicability of the APSIM model in the study area. The response of potato growth and yield to different drought scenarios was simulated and analysed in the single-cropping region in Northern China. The results showed that the validated APSIM-Potato was highly applicable to the single-cropping region in Northern China. The root mean square error (RMSE) of the simulated phenology was within 1.9 ~ 2.6 days. The normalized root mean square errors (NRMSEs) of the simulated LAI, above-ground biomass, and yield were all below 15%. Potato yield decreased with an increase in drought stress intensity and duration. In the simulation of water stress at a single developmental stage, the yield of potatoes during the budding-flowering stage was affected the most by water stress, with a yield reduction of between 4.8 and 35.8% compared to the control group (CG). High-intensity water stress during the entire growth period reduced the final potato yield by 28.9 to 60.9% compared to CG. Finally, through the simulation experiment of potato water control, it was found that under the same water control condition, the potato yield reduction rate in the northwestern region was greater than that in the southeastern region.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574450","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":"Identification and Pathogenicity of Species Isolated from Stored Potato Tubers Showing Symptoms of Dry Rot Disease","authors":"Nam Sook Kim, Sae Jin Hong, Heon Seop Won, Byung Sup Kim, Se Hwi Gwon","doi":"10.1007/s11540-024-09709-0","DOIUrl":"https://doi.org/10.1007/s11540-024-09709-0","url":null,"abstract":"<p>Disease arises during the storage of potatoes as a result of pathogens introduced during growing and harvest of the tubers. In this study, the causative fungi of domestic potato dry rot disease were identified, and their pathogenicity was confirmed. A total of 76 species were isolated from 93 potato necropods collected from samples inoculated with dry rot disease. These 76 isolates were identified as <i>Fusarium boothii</i>, <i>F. circinatum</i>, <i>F. citricola</i>, <i>F. foetens</i>, <i>F. iranicum</i>, <i>F. longifundum</i>, <i>F. oxysporum</i>, <i>F. pseudoanthophilum</i>, <i>F. solani</i>, <i>Botryotinia ranunculi</i>, <i>Clonostachys rosea</i>, and <i>Humicola nigrescens</i>. The average size of the inoculation site was ≥ 4.6 mm in <i>F. oxysporum</i> and <i>F. solani</i>, which were pathogenic to dry rot in potatoes but were not pathogenic compared to other strains up to 5 weeks in a 15 to 20 °C and 99% RH environment. The pathogenicity of <i>F. foetens</i> and <i>F. pseudoanthophilum</i> was related to a strong relationship by forming a single system with <i>F. oxysporum.</i> However, except for <i>F. oxysporum</i> and <i>F. solani</i>, these strains have not yet been reported to be associated with dry rot disease. Additionally, the length of the cross-section and longitudinal section of the potato damage symptom inoculated with <i>C. rosea</i> increased the most among all strains. This suggests that <i>C. rosea</i> is the dominant species involved in domestic potato dry rot disease. By contrast, there are no reports of the involvement of <i>B. ranunculi</i> and <i>H. nigrescens</i> in dry rot disease. Therefore, these strains can be seen as parasitic using potato sclerosis as nutrients in in vivo experiments through wounds and are not directly related to dry rot disease.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574459","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":"Estimation of Potato Water Footprint Using Machine Learning Algorithm Models in Arid Regions","authors":"Amal Mohamed Abdel-Hameed, Mohamed Abuarab, Nadhir Al-Ansari, Hazem Sayed, Mohamed A. Kassem, Ahmed Elbeltagi, Ali Mokhtar","doi":"10.1007/s11540-024-09716-1","DOIUrl":"https://doi.org/10.1007/s11540-024-09716-1","url":null,"abstract":"<p>Precise assessment of water footprint to improve the water consumption and crop yield for irrigated agricultural efficiency is required in order to achieve water management sustainability. Although Penman-Monteith is more successful than other methods and it is the most frequently used technique to calculate water footprint, however, it requires a significant number of meteorological parameters at different spatio-temporal scales, which are sometimes inaccessible in many of the developing countries such as Egypt. Machine learning models are widely used to represent complicated phenomena because of their high performance in the non-linear relations of inputs and outputs. Therefore, the objectives of this research were to (1) develop and compare four machine learning models: support vector regression (SVR), random forest (RF), extreme gradient boost (XGB), and artificial neural network (ANN) over three potato governorates (Al-Gharbia, Al-Dakahlia, and Al-Beheira) in the Nile Delta of Egypt and (2) select the best model in the best combination of climate input variables. The available variables used for this study were maximum temperature (<i>T</i>_max), minimum temperature (<i>T</i>_min), average temperature (<i>T</i>_ave), wind speed (WS), relative humidity (RH), precipitation (P), vapor pressure deficit (VPD), solar radiation (SR), sown area (SA), and crop coefficient (Kc) to predict the potato blue water footprint (BWF) during 1990–2016. Six scenarios (Sc1–Sc6) of input variables were used to test the weight of each variable in four applied models. The results demonstrated that Sc5 with the XGB and ANN model gave the most promising results to predict BWF in this arid region based on vapor pressure deficit, precipitation, solar radiation, crop coefficient data, followed by Sc1. The created models produced comparatively superior outcomes and can contribute to the decision-making process for water management and development planners.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574676","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":"SNP Markers Associated with Some Root, Stolon, and Tuber Traits in Tetraploid Potatoes (Solanum tuberosum L.) Grown Under Diverse Growing Systems","authors":"Muhammad Farhan Yousaf, Ufuk Demirel, Muhammad Naeem, Eric Kuopuobe Naawe, Mehmet Emin Caliskan","doi":"10.1007/s11540-024-09718-z","DOIUrl":"https://doi.org/10.1007/s11540-024-09718-z","url":null,"abstract":"<p>Numerous loci, environmental factors, and their interactions have an impact on the phenotypic diversity of several significant traits in plants. One approach put forth in recent years for genetic research and finding quantitative trait loci (QTLs) responsible for the specific trait is association mapping. The purpose of the current study was to pinpoint the genetic underpins of significant underground traits in potato. A panel of 192 diverse tetraploid potato genotypes from different countries were grown under different growing conditions (i.e., aeroponics and pot) to study root, stolon and tuber traits. Significant differences (<i>P</i> ≤ 0.01) were found between the genotypes for all examined traits, and the heritability (H²) of the traits ranged from 0.74 to 0.94. Genotyping was carried out using the SolCAP 25K array. 21,226 polymorphic SNPs were used for association mapping of underground traits. A <i>GWASpoly</i> R package was implemented for the marker-trait associations, and 78 genomic regions were found associated with the traits under investigation.. The history of potato breeding was reflected in LD patterns. The identified SNPs have their putative gene functions related to the root and stolon architecture and tuber growth (i.e., WRKY transcription factor, MAPK, the GTP cyclohydrolase 1 (i.e., <i>GTPCHI</i>), Glutathionyl-hydroquinone reductase, and pyrophosphate—fructose 6-phosphate 1-phosphotransferase subunit alpha (<i>PFPase</i>). The results of the present study provides a framework that could be helpful for future potato breeding programs to increase tuber production and reduce the challenges of feeding the world's population in the years to come.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140311324","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":"Nitrogen Management for Optimum Potato Yields and Low Environmental Impact in Northwest China","authors":"","doi":"10.1007/s11540-024-09715-2","DOIUrl":"https://doi.org/10.1007/s11540-024-09715-2","url":null,"abstract":"<h3>Abstract</h3> <p>Understanding the changes in nitrate nitrogen (NO₃⁻-N) content in the rooting zone is crucial for reducing nitrate leaching and improving nitrogen (N) use efficiency. The main objective of this study was to investigate the effects of N management strategies on NO₃⁻-N dynamics in the main root zone (0–60 cm) at critical growth stages of drip-irrigated potatoes and to quantify the retention capacity of NO₃⁻-N at harvest in an intensive potato cropping system. Three field experiments with no N application (CK), optimized management (OM) based on a realistic yield goal and soil mineral N content (N_min) and farmer practice (FP) for three potato cultivars were conducted in Inner Mongolia of Northwest China from 2014 to 2016. A total of 52 farmers with over 3000 ha of potato fields were also investigated at harvest. The results showed that OM treatment improved N use efficiency and reduced the environmental risk of N loss while ensuring potato yields compared with FP treatment. Overusing N fertilizer in farmer fields was common, but these N fertilizers only caused a temporary accumulation of NO₃⁻-N during the growing season, then it was reduced to the same level as the optimal treatment at harvest. The NO₃⁻-N retention was about 70 kg ha⁻¹ at harvest in the drip-irrigated potatoes with higher yield, and the data from farmers’ fields confirmed the universality of the NO₃⁻-N retention content. Although retentional NO₃⁻-N content in the main root zone at harvest was similar between FP and OM, obvious accumulation of NO₃⁻-N content was observed during the growing season in FP treatments increasing N loss risk to the environment. The characteristics of soil NO₃⁻-N accumulation in the root zone of drip-irrigated potatoes help to improve management strategies to maximize potato yield while minimizing environmental risks due to N fertilization.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140311236","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":"Opening Eyes on Seedling Tuber Quality in Potato: Size Matters","authors":"Julia E. Stockem, Merijn D. Bus, Michiel E. de Vries, Paul C. Struik","doi":"10.1007/s11540-024-09703-6","DOIUrl":"https://doi.org/10.1007/s11540-024-09703-6","url":null,"abstract":"<p>For potato, diploid hybrid breeding is a novel breeding technique that speeds up the development of new varieties. A consequence of hybrid breeding is the introduction of hybrid true potato seeds as starting material. From these seeds, seedling tubers can be produced in one field season, to use as starting material for a seed or a ware crop in the following year. For breeding purposes as well as for seed crop and ware crop production, it is essential to produce seedling tubers of high quality. The production of seedling tubers is a new step in the potato production chain; therefore, we investigated the effect of tuber quality traits on plant development and yield. With similar seedling tuber weight, more eyes per seedling tuber led to more stems per plant. This was compensated by a lower number of tubers per stem resulting in an equal total tuber number and weight per plant at the end of the growing season. A higher seedling tuber weight led to a higher soil cover in the field. Hybrid potato plants grown from larger seedling tubers produced a greater total tuber weight per plant than plants grown from smaller tubers, while number of eyes and stems per tuber had no effect on final yield when using equal seedling tuber weight.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140205731","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":"Forecasting Production of Potato for a Sustainable Future: Global Market Analysis","authors":"Pradeep Mishra, Amel Ali Alhussan, Doaa Sami Khafaga, Priyanka Lal, Soumik Ray, Mostafa Abotaleb, Khder Alakkari, Marwa M. Eid, El-Sayed M. El-kenawy","doi":"10.1007/s11540-024-09717-0","DOIUrl":"https://doi.org/10.1007/s11540-024-09717-0","url":null,"abstract":"<p>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.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140196853","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":"Effect of Using Corn Industry Wastewater as Irrigation Water in Potato Crops (Solanum tuberosum)","authors":"Francisco Javier Bacame-Valenzuela, Liliana M. García-Méndez, Fabiola Sandoval-Salas, J. A. Perez-García, A. Aceves-Diez, Y. Reyes-Vidal","doi":"10.1007/s11540-024-09706-3","DOIUrl":"https://doi.org/10.1007/s11540-024-09706-3","url":null,"abstract":"<p>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 (<i>Zea mays</i>). In this work, the use of this effluent for the irrigation of potato crops (<i>Solanum tuberosum</i>) 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.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140152991","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":"Reducing Yearly Variation In Potato Tuber Yield Using Supplemental Irrigation","authors":"Yefang Jiang, Tobin Stetson, John Phillips, Ana Kostic","doi":"10.1007/s11540-024-09711-6","DOIUrl":"https://doi.org/10.1007/s11540-024-09711-6","url":null,"abstract":"<p>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.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140114929","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 Abiotic Stress Associated with Climate Change on Potato Yield and Tuber Quality Under a Multi-environment Trial in New Zealand","authors":"","doi":"10.1007/s11540-024-09695-3","DOIUrl":"https://doi.org/10.1007/s11540-024-09695-3","url":null,"abstract":"<h3>Abstract</h3> <p>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 (&gt; 25 °C) in Opiki and Hastings and sub-optimal rainfall (&lt; 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.</p>","PeriodicalId":20378,"journal":{"name":"Potato Research","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140055605","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}