Potatoes fell to 10.50 EUR/100KG on July 15, 2025, down 4.55% from the previous day. Over the past month, Potatoes's price has fallen 33.12%, and is down 71.77% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Potatoes.

This Dataset contains state-wise daily wholesale and retail price of essential commodity Potato

marine

Download Historical Potato - India Futures Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

This archive contains code and data for a social network analysis of international potato trade that was published at https://perspectivesandforesight.wordpress.com/2012/11/08/really-a-nontraded-commodity-a-look-at-the-international-potato-trade-network/ on 08 November, 2012.

It can serve as a reference for understanding the analysis, and as a basis for replication of the results as well as for carrying out more detailed analyses of international potato trade.

The following information and data is included:

• The R code used for the social network analysis of international potato trade.

• Data files with bilateral matrices of global trade in fresh, frozen and seed potatoes.

• Data files with supplementary data used for the analysis.

• A copy of the original blog post that was written using the data and code provided herewith.

This dataset provides information on the Seed Potatoes Exports in 2012. Seed potatoes are those intended for use as seeds for future crops rather than consumption. This dataset includes the fields: Phyto issue date, Area code (CT (Central), ER (Eastern), NE (North East), NW (North West), SE (South East), SO (Southern), SW (South West), WL (Wales & West Midlands)), Export country, Commodity type, Plant variety, Consignment ID, Quantity exported, Unit. 'Phytos' are Phytosanitary Certificates, produced by plant health authorities to certify that a plant commodity is healthy prior to export. Attribution statement: ©Crown Copyright, APHA 2016

Sri Lanka Retail Price: Potatoes data was reported at 82.250 LKR/kg in Feb 2018. This records a decrease from the previous number of 87.400 LKR/kg for Jan 2018. Sri Lanka Retail Price: Potatoes data is updated monthly, averaging 54.740 LKR/kg from Jan 1984 (Median) to Feb 2018, with 410 observations. The data reached an all-time high of 116.720 LKR/kg in Sep 2017 and a record low of 11.530 LKR/kg in Oct 1985. Sri Lanka Retail Price: Potatoes data remains active status in CEIC and is reported by Central Bank of Sri Lanka. The data is categorized under Global Database’s Sri Lanka – Table LK.P004: Retail Price: By Commodity.

Sri Lanka Production Yield: Potatoes data was reported at 16.500 Metric Ton/ha in 2017. This records a decrease from the previous number of 16.700 Metric Ton/ha for 2016. Sri Lanka Production Yield: Potatoes data is updated yearly, averaging 14.350 Metric Ton/ha from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 17.700 Metric Ton/ha in 2015 and a record low of 10.200 Metric Ton/ha in 1997. Sri Lanka Production Yield: Potatoes data remains active status in CEIC and is reported by Central Bank of Sri Lanka. The data is categorized under Global Database’s Sri Lanka – Table LK.B009: Production by Commodity: Annual.

Before commercialization of genetically modified crops, the events carrying the novel DNA must be thoroughly evaluated for agronomic, nutritional, and molecular characteristics. Over the years, Polymerase Chain Reaction-based methods, Southern blot, and short-read sequencing techniques have been utilized for collecting molecular characterization data. Multiple genomic applications are necessary to determine the insert location, flanking sequence analysis, characterization of the inserted DNA, and determination of any interruption of native genes. These techniques are time-consuming and labor-intensive, making it difficult to characterize multiple events. Current advances in sequencing technologies are enabling whole genomic sequencing of modified crops to obtain full molecular characterization. However, in polyploids, such as the tetraploid potato, it is a challenge to obtain whole genomic sequencing coverage that meets regulatory approval of the genetic modification. Here we describe an alternative to labor-intensive applications with a novel procedure using Samplix Xdrop® enrichment technology and next-generation Nanopore sequencing technology to more efficiently characterize the T-DNA insertions of four genetically modified potato events developed by the Feed the Future Global Biotech Potato Partnership: DIA_MSU_UB015, DIA_MSU_UB255, GRA_MSU_UG234 and GRA_MSU_UG265 (derived from regionally important varieties Diamant and Granola). Using the Xdrop® /Nanopore technique, we obtained a very high sequence read coverage within the T-DNA and junction regions. In three of the four events, we were able to use the data to confirm single T-DNA insertions, identify insert locations, identify flanking sequences, and characterize the inserted T-DNA. We further used the characterization data to identify native gene interruption and confirm the stability of the T-DNA across clonal cycles. These results demonstrate the functionality of using the Xdrop® /Nanopore technique for T-DNA characterization. This research will contribute to meeting regulatory safety and regulatory approval requirements for commercialization with small shareholder farmers in target countries within our partnership. Methods Plasmid and T-DNA Materials The plasmid pSIM4392 was developed by Simplot Plant Sciences (Boise, ID). The genetic elements within the T-DNA are in the supplementary data (S2. Table 1). To summarize, pSIM4392 has a T-DNA that contains four cassettes. The first cassette (elements 5 to 11, S2. Table 1) contains the selectable marker nptII gene and the expression of the gene confers kanamycin resistance used for the selection of plants containing the T-DNA. The second cassette (elements 13-15, S2. Table 1) contains Rpi-vnt1 (vnt1) gene from Solanum venturi (Foster, S.J., 2009). The third cassette (elements 17-19, S2. Table 1) contains Rpi-mcq1 (mcq1) gene from Solanum mochiquense (Aguilera-Galvez, C., 2020). The fourth cassette (elements 21-23, S2. Table 1) contains Rpi-blb2 (blb2) gene from Solanum bulbocastanum (van der Vossen, E.A., 2005). The gene products from the last three cassettes, VNT1, MCQ1 and BLB2, are R-proteins involved in the plant immune response that protects potato from foliar late blight infection caused by P. infestans (Jones, J.D. and Dangl, J.L., 2006). These genes are in the CC-NB-LRR (coiled-coil, nucleotide-binding, leucine-rich repeat) class of resistance (R) genes (Paluchowska, P., et.al (2022). Each cassette is a cisgene expressed under its native promoter and terminator, pVnt1 and tVnt1 for Rpi-vnt1, pMcq1, and tMcq1 for Rpi-mcq1, pBlb2 and tBlb2 for Rpi-blb2. The sequence of pSIM4392 plasmid can be found in the Dryad Dataset (Zarka, KA., 2023). A map of the entire pSIM4392 plasmid is shown in Figure 1. Plant Materials Potato plant events were produced using Agrobacterium transformation as part of the Global Biotech Potato Partnership and by collaboration with Simplot Plant Sciences (Boise, Idaho). The C58-derived Agrobacterium strain AGL1 (Lazo et al., 1991) carrying pSIM4392, was used to transform potato internode explants following the method described by Richael et al. (2008). A flowchart highlighting the development and selection of lead potato events transformed with T-DNA in plasmid pSIM4392 is shown in the supplementary material (S1 Figure 2). Transformed internode explants were regenerated on medium containing 150 mg/l kanamycin to select for lines containing a T-DNA insert. The pSIM4392 backbone contained the isopentenyl transferase (ipt) gene. Events expressing the ipt gene will have a cytokinin phenotype (stunted growth) or have atypical phenotypes such as elongated trichomes or chlorotic leaves. (Kunkel et al., 1999). They would have also transferred some or all of the plasmid backbone. These events were eliminated from further analysis. For both the Diamant and the Granola host varieties around 300 events were advanced to analyze T-DNA copy number. The T-DNA copy number was determined by digital droplet Polymerase Chain Reaction (ddPCR) according to the protocol in Collier et al. (2017). Events with more than one copy were eliminated from further analysis. Internal regions of the T-DNA were tested in the events with Polymerase Chain Reaction (PCR) analysis and any negative events were eliminated. R-gene function was tested in growth chamber plant pathology bioassays and in field trials (unpublished, Douches, D., 2023). The plant events, selected as the lead events, and used in this study, are DIA_MSU_UB015 and DIA_MSU_UB255 from the host variety Diamant, and GRA_MSU_UG234 and GRA_MSU_UG265 from the host variety Granola. These events will be referred to as UB015, UB255, UG234 and UG265 respectively.
Genomic DNA Isolation For PCR analysis and ddPCR analysis, genomic DNA was isolated from leaf tissue using the DNeasy Plant Mini Kit: CAT#69,104 (Qiagen) according to the manufacturer’s instructions. DNA isolation for the Xdrop® enrichment technology method required high molecular weight genomic DNA. High molecular weight DNA is essential to obtain the long sequencing reads that will span not only the flanking region of the insert location but also the T-DNA. DNA isolation was done with leaf tissue of greenhouse-grown plants and an isolation procedure modified from Saghai-Maroof et al. (1984). Fresh leaf tissue (2 g) was ground with a mortar and pestle in 7 ml of extraction buffer (0.1 M Tris, pH 8.0/1.4 M NaCl/0.02M EDTA/2% hexadecyltrimethylammonium bromide/ 1% 2-mercaptoethanol). Transfer of further DNA-containing solutions was only done with universal pipet tips with wide tip openings (USA Scientific, Ocala, FL). The ground leaf tissue mixture was filtered through 2 layers of cheesecloth and incubated at 65°C for 30 min with occasional gentle mixing. An equal volume of chloroform/isoamyl alcohol 24:1 (vol:vol), was added, and the solution was mixed by inversion to form an emulsion that was centrifuged at 3000 rpm for 10 min at room temperature. The aqueous phase was removed, and 2/3 vol of isopropanol was added and mixed by gentle inversions. The precipitated DNA was washed with 1ml 70% ethanol and then dissolved in 300 ml of resuspension buffer (10mM Tris 1 mM EDTA). The DNA samples were evaluated for DNA size distribution by capillary electrophoresis on a TapestationTM instrument, using Genomic DNA ScreenTape (Agilent Inc., Santa Clara, CA) according to the manufacturer’s instructions. The DNA samples were then shipped to Samplix (Denmark). Inserted T-DNA analysis In polyploids, such as the tetraploid potato, it is difficult to have the coverage in whole genomic sequencing needed to meet regulatory review recommendations. Samplix developed an enrichment instrument technology called the Xdrop ®, which enables targeted DNA fragments to be encapsulated and enriched so they can be sequenced using next-generation sequencing. As mentioned in the introduction, Blondal et al. (2021), previously described identifying flanking regions of inserted T-DNA. Here we describe utilizing the technology to achieve high sequence coverage across the entire T-DNA region of each of the lead 3R-gene late blight resistant events as well as the identification of flanking regions on either side of the T-DNAs. A. Xdrop® enrichment technology The Xdrop® enrichment technology uses the Xdrop® instrument, cartridges, and reagents along with the DNA samples of interest. The workflow includes two parts: 1. Primer design, enrichment and quantification. 2. Digital Polymerase Chain Reaction (dPCR) Generation, Sorting of Xdrop® droplets, Droplet Multiple Displacement Amplification (dMDA) and Evaluation of Enrichment. A graphic of the workflow was previously described in Blondal et al. (2021) and included here in the supplementary material (S1 Figure 1).
1. Primer design, enrichment and quantification The DNA samples were evaluated for size distribution and quality by TapestationTM System (Agilent Technologies Inc.), using Genomic DNA ScreenTape according to the manufacturer’s instructions. Primer sets for enrichment and quantification were designed specifically for the detection of sequences within the insert site. This was done to achieve coverage across the entire T-DNA and obtain genomic flanking sequence data as well. The primers were tested and successfully implemented to enrich two Regions of Interest (ROIs) and are listed in the supplementary material (S2. Table 2). Primer set, ROI1_8F and ROI1_8R, are located within the 3’ region of the Rpi-mcq1 gene. The primer set ROI2_9F and ROI2_9R set is located within the 3’ region of the Rpi-vnt1 gene. The highest amount of enrichment will occur in the sequence surrounding the ROIs. Therefore, to ensure that high-quality sequence data can be achieved after the enrichment and span the entire T-DNA the ROIs are located near the center of the T-DNA. Assay evaluation of primers described in the supplementary material (S2. Table 2). was performed by

This dataset provides information on the Potato Cyst Nematode (PCN) sampling for entry into the Seed Potato Classification Scheme (SPCS) during 2013. Seed Potatoes are those intended for use as seeds for future crops rather than consumption. The dataset includes the fields: Visit date, Job description, PCN +ve (positive for PCN), Sample area (Hectares), Number of samples, Cysts present Y/N, Cysts non viable, Fields non viable cysts, Area non viable cysts, Cysts viable globodera pallida, Cysts viable globodera rostochiensis, Pallida infested, Area pallida infested, Rostochiensis infested, Area rostochiensis infested, Combined pallida & rostochiensis infested, Area combined pallida & rostochiensis infested. Attribution statement: ©Crown Copyright, APHA 2016

This dataset provides information on the Potato Cyst Nematode (PCN) sampling for entry into the Seed Potato Classification Scheme (SPCS) during 2015. Seed Potatoes are those intended for use as seeds for future crops rather than consumption. The dataset includes the fields: Visit date, Job description, PCN +ve (positive for PCN), Sample area (Hectares), Number of samples, Cysts present Y/N, Cysts non viable, Fields non viable cysts, Area non viable cysts, Cysts viable globodera pallida, Cysts viable globodera rostochiensis, Pallida infested, Area pallida infested, Rostochiensis infested, Area rostochiensis infested, Combined pallida & rostochiensis infested, Area combined pallida & rostochiensis infested. Attribution statement:

Pooled two-way analysis of variance (ANOVA) of two factor Completely Randomized Design (CRD) for years of potato varieties Kufri Jyoti and Kufri Pukhraj grown under high N and low N in aeroponics.

Crop yield is largely affected by global climate change. Especially periods of heat and drought limit crop productivity worldwide. According to current models of future climate scenarios, heatwaves and periods of drought are likely to increase. Potato, as an important food crop of temperate latitudes, is very sensitive to heat and drought which impact tuber yield and quality. To improve abiotic stress resilience of potato plants, we aimed at co-expressing hexokinase 1 from Arabidopsis thaliana (AtHXK1) in guard cells and SELF-PRUNING 6A (SP6A) using the leaf/stem-specific StLS1 promoter in order to increase water use efficiency as well as tuberization under drought and heat stress. Guard cell-specific expression of AtHXK1 decreased stomatal conductance and improved water use efficiency of transgenic potato plants as has been shown for other crop plants. Additionally, co-expression with the FT-homolog SP6A stimulated tuberization and improved assimilate allocation to developing tubers under control as well as under single and combined drought and heat stress conditions. Thus, co-expression of both proteins provides a novel strategy to improve abiotic stress tolerance of potato plants.

Sweet potato, Ipomoea batatas (L.) Lam., is an important food crop that is cultivated worldwide. However, no genome-wide assessment of the genetic diversity of sweet potato has been reported to date. In the present study, the population structure and genetic diversity of 197 sweet potato accessions most of which were from China were assessed using 62,363 SNPs. A model-based structure analysis divided the accessions into three groups: group 1, group 2 and group 3. The genetic relationships among the accessions were evaluated using a phylogenetic tree, which clustered all the accessions into three major groups. A principal component analysis (PCA) showed that the accessions were distributed according to their population structure. The mean genetic distance among accessions ranged from 0.290 for group 1 to 0.311 for group 3, and the mean polymorphic information content (PIC) ranged from 0.232 for group 1 to 0.251 for group 3. The mean minor allele frequency (MAF) ranged from 0.207 for group 1 to 0.222 for group 3. Analysis of molecular variance (AMOVA) showed that the maximum diversity was within accessions (89.569%). Using CoreHunter software, a core set of 39 accessions was obtained, which accounted for approximately 19.8% of the total collection. The core germplasm set of sweet potato developed will be a valuable resource for future sweet potato improvement strategies.