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Plant Tubers

Plant tubers are storage organs that develop underground from modified stem tissues.
They serve as a reservoir for nutrients, allowing plants to survive periods of dormancy or unfavorable conditions.
Tubers are commonly found in crops such as potatoes, yams, and cassava.
Researching plant tubers is crucial for understanding their biology, cultivation, and potential applications in agriculture and food production.
PubCompare.ai enhances the reproducibility and accuracy of plant tuber research by providing AI-driven protocol optimization.
Its intelligent comparison tools help users idenetfy the best protocols and products from literature, preprints, and patents, streamlining plant tuber studies and improving research outcomes.

Most cited protocols related to «Plant Tubers»

Chemically defined substances should be described by generic name, chemical name according to the International Union of Pure and Applied Chemistry (IUPAC) nomenclature, other generic international names and abbreviations and the Chemical Abstract Service (CAS) number and the European Inventory of Existing Commercial chemical Substances number (EINECS), European Community number and European Enzyme Commission number if available. The structural and molecular formula, the openSMILES notation and the molecular weight must be included. Where relevant, the isomeric forms should be given. Information on structurally related substances should be included, when appropriate.
For chemically defined compounds used as flavourings, the EU Flavour Information System (FLAVIS) number in connection with relevant chemical group should be included.
For additives of plant origin, the characterisation should include the scientific name of the plant of origin and its botanical classification (family, genus, species, if appropriate subspecies). The parts of the plant used to obtain the active substance(s) (e.g. leaves, flowers, seeds, fruits, tubers, roots) should be indicated. The identification criteria and other relevant aspects of the plants should be indicated. For complex mixtures of many compounds obtained by an extraction process, it is recommended to follow the relevant terminology such as essential oil, absolute, tincture, extract and related terms widely used for botanically defined flavouring products to describe the extraction process. Reasonable efforts should be made to identify and quantify all components of the mixture. One or more marker compounds should be selected, which will allow the additive to be identified in the different studies. Information on the variability in composition of comparable products should be provided. This could be done by reference to published literature.
For natural products of non‐plant origin, an equivalent approach to the above may be used.
Additives in which not all constituents can be identified should be characterised by the constituent(s) contributing to its activity. One or more marker compounds should be selected which will allow the additive to be identified in the different studies.
For clays' data on elemental and mineralogical composition as well as information on the structure should be provided by appropriate methods (e.g. atomic absorption spectrophotometry, X‐ray diffraction, differential thermal analysis).
For enzyme and enzyme preparations, the number and systematic name proposed by the International Union of Biochemistry (IUB) in the most recent edition of ‘Enzyme Nomenclature’ should be given for each declared activity. For activities not yet included, a systematic name consistent with the IUB rules of nomenclature shall be used. Trivial names are acceptable provided that they are unambiguous and used consistently throughout the dossier, and they can be clearly related to the systematic name and IUB number at their first mention.
When the active substance(s)/agent(s) is/are supplied by a third party, the requirements/specifications (e.g. purity and impurities with safety relevance) set by the applicant should be provided.
For chemical substances produced by fermentation, the microbial origin should also be described (see Section 2.2.1.2).
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Publication 2017
Clay Complex Mixtures Differential Thermal Analysis Enzymes Europeans Fermentation Flowers Fruit Generic Drugs Genes, Plant Isomerism Oils, Volatile Plant Embryos Plant Proteins Plant Roots Plants Plant Tubers Safety Spectrophotometry, Atomic Absorption X-Ray Diffraction
Three of the authors (D.P., M.E.S., and M.M.R.) agreed on the changes to be made, after seeking input from additional peripheral neuropathy specialists who have performed the CMTNS. The CMTNS2 is shown in Table 1; it differs from the original CMTNS in several ways. Spoken instructions are now provided so that patients are asked exactly the same questions in the same way each time (Table 2). Sensory symptoms were changed to discern those with symptoms extending to the distal calf vs. the proximal calf; previously a change in sensory symptoms from just above the ankle to the knee would not have been detected by this item. In addition, a picture is shown to the patients to ensure standardized scoring. Motor symptoms (legs) were changed to add the use of shoe inserts (1 point) and the weight of prior ankle surgery was decreased to reduce the floor effect of this item, as many patients with CMT (especially older patients) have had ankle surgery because of variable orthopedic practice rather than because of severe ankle weakness. Motor symptoms (arms) were changed from any difficulty with buttons/zippers (1 point) to mild difficulty with buttons (1 point) and severe difficulty or unable to do buttons (2 points). We also added “unable to cut most food”(3 points) instead of unable to write or use a keyboard; many people do not write other than signing their name and many CMT patients can use a keyboard with aids, which the original CMTNS would not have recognized. Pinprick sensibility was revised to mirror the change in sensory symptoms and we stipulated that a Neurotip must be used to test this item. For vibration testing, we stipulated the use of a Rydel-Seiffer tuning fork, a reliable and sensitive instrument for determining perception of vibration (Bergin et al., 1995 (link); Martina et al., 1998 (link)). Previously, methods for examining vibration varied among centers and examiners, which caused variation among raters. The Rydel-Seiffer tuning fork allows grading of a patient’s vibratory perception from 8 (full) to 0 (absent). We used a score of 5 or greater to indicate normality based on previous studies (Martina et al., 1998 (link); Pestronk et al., 2004 (link); Whitton et al., 2005 (link)). Vibration was tested at the dorsum of the metatarsophalangeal joint of the great toe, medial malleolus, and tibial tuberosity. Lower limb strength was changed to include weakness of ankle plantarflexion in scores 1 and 2, as some subtypes of CMT cause weakness of ankle plantarflexion more than dorsiflexion. In addition, we stipulated that to obtain a higher score a patient must fulfill the requirements of all scores below, for example, to score 4 (proximal weakness) a patient must also have weakness of ankle dorsiflexion and plantarflexion of Medical Research Council (MRC) grade 3 or less. Arm strength was changed so that the strongest of first dorsal interosseus (FDI) and abductor pollicis brevis (APB) are used to score this item, meaning that deteriorating strength in the hands should be evaluated better with the CMTNS2. Ulnar or median compound muscle action potential (CMAP) was not changed; however, we decided to use radial SAP in CMTNS2 rather than ulnar SAP as, in our experience, the ulnar SAP is often absent early in the disease course compared with the radial SAP which may be more often preserved.
Publication 2011
Acquired Immunodeficiency Syndrome Action Potentials Ankle Asthenia Disease Progression Food Interphalangeal Joint of Toe Knee Leg Lower Extremity Muscle Tissue Operative Surgical Procedures Orthopedic Surgical Procedures Patients Peripheral Nervous System Diseases Plant Tubers Specialists Vibration

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Publication 2013
Brain Cardiovascular System Conferences Diagnosis Epilepsy Homo Malignant Neoplasms Neoplasms Operative Surgical Procedures Organ Transplantation Plant Tubers Rare Diseases System, Endocrine Tuberous Sclerosis
Twelve subcommittees, each led by a clinician with advanced expertise in TSC and the relevant medical subspecialty, were organized to focus on specific disease focus topics that have important clinical management implications in TSC: (1) dermatology and dentistry; (2) nephrology; (3) pulmonology; (4) cardiology; (5) ophthalmology; (6) gastroenterology; (7) endocrinology; (8) genetics; (9) epilepsy; (10) TSC-associated neuropsychiatric disorders; (11) brain structure, tubers, and tumors; and (12) coordination of clinical care. Each subcommittee was charged with formulating key clinical questions to address within its focus area, reviewing relevant literature, evaluating the strength of data, and providing a recommendation based on evaluated literature or, if data were lacking, an expert opinion based on experience or case studies or other appropriate method. If no recommendation could be provided because there was no consensus or conflicting evidence was found of equal value or weight, the subcommittee was to provide recommendations for future research that would help resolve the conflict.
A centralized literature search was performed on March 12, 2012, for all consensus group subcommittees to use. This search used PUBMED and SCOPUS databases of all articles published between 1997 (year before last consensus conference) and 2012 (current), regardless of language. Search terms for PUBMED consisted of “tuberous sclerosis” and “humans” and “diagnosis OR therapy.” Search terms for SCOPUS consisted of “tuberous sclerosis” and “diagnosis OR treatment.” A total of 2692 articles were identified with this approach. Each consensus group subcommittee was then able to determine additional terms pertinent to its organ system or disease focus area to further refine articles to be reviewed and evaluated. Additional literature searches, if deemed necessary by individual subcommittees to address key clinical questions not captured by the central literature search, could be performed as needed (e.g., epilepsy surgery or organ transplantation guidelines relevant but not specific to TSC).
The evidence-based framework based on the approach of the National Comprehensive Cancer Network (NCCN) Clinical Guidelines17 was used to grade strength of evidence and resulting recommendations. The NCCN framework allows recommendations based on all classes of evidence by categorizing recommendations with regard to the type and strength of evidence used to support the recommendation and is well-suited for application across many organ systems and specialties for a rare disease such as TSC with multisystem involvement. NCCN Clinical Guidelines category 1 recommendations are based on high-level evidence and uniform consensus, whereas category 2 recommendations are based on lower-level evidence and either uniform consensus or consensus. Category 3 recommendations are those for which a consensus cannot be reached, regardless of evidence. Additional details regarding this framework, including definitions for high- and low-level evidence, are provided in Table 1.
For the purposes of this summary document, the 2012 International Tuberous Sclerosis Complex Consensus Group surveillance and management recommendations are organized into two sections: (1) recommendations applicable at the time of initial diagnosis and (2) recommendations applicable to follow-up health care. There is some overlap with this approach because some features discovered upon initial diagnosis may require immediate intervention, additional workup, or specialist referral. By necessity, discussion in this summary is limited to the most relevant and salient points. More detailed discussion of specific recommendations for the different TSC disease focus areas, supporting evidence thereof, and other special considerations will be published separately by each International Tuberous Sclerosis Consensus Complex Group subcommittee.
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Publication 2013
Brain Cardiovascular System Conferences Diagnosis Epilepsy Homo Malignant Neoplasms Neoplasms Operative Surgical Procedures Organ Transplantation Plant Tubers Rare Diseases System, Endocrine Tuberous Sclerosis
Seeds of the Japanese radish cultivar ‘Aokubi’ used in the genome study were sown in the experimental field of Tokyo University of Agriculture, Faculty of Agriculture, at the normal sowing time in this region (31 August 2012). Samples of roots and leaves from three seedlings at each developmental stage (7, 14, 20, 40 and 60 DAG) were collected. In radish tuberous roots, the upper part originates from the hypocotyl where lateral roots are not present and the lower part consists of true root tissue where lateral roots developed. We collected samples from the border of hypocotyl and true root tissues and immediately transferred the samples into RNAlater® solution (Qiagen, Hilden, Germany) for RNA extraction.
Total RNA was isolated from each sample using the NucleoSpin RNA Plant Kit (Macherey-Nagel, Düren, Germany). RNA quality and quantity were assessed on a 2100 Bioanalyser using the RNA 6000 Nano Kit (Agilent technologies, Palo Alto, CA, USA). Using equal volumes of total RNA from each sample, cDNA libraries were prepared using an mRNA-Seq Sample Preparation Kit (Illumina) according to the manufacturer's instructions. Illumina RNA sequencing using the Hiseq 2000 platform was performed at the Nodai Genome Research Centre (NRGC, Tokyo, Japan) in accordance with the manufacturer’s instructions.
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Publication 2015
cDNA Library Faculty Genome Hypocotyl Japanese Plant Embryos Plant Roots Plants Plant Tubers Raphanus RNA, Messenger Seedlings Temporal Lobe Tissues

Most recents protocols related to «Plant Tubers»

Example 1

119 Dicty strains were screened for their ability to feed on Dickeya (Dd) or Pectobacterium (Pcc) at 10° C. This assay was performed by inoculating Dd or Pcc on a low nutrient medium (SM2 agar) that supports both bacterial and Dicty growth. Dicty spores from individual strains were then inoculated on top of the bacterial growth and incubated at 10° C. to mimic potato storage temperatures. Dicty strains that successfully fed on Dd or Pcc created visible clearings in the lawn of bacterial growth and ultimately produced sporangia (fruiting bodies) that rose from the agar surface. An example of the phenotype that was considered successful clearing of bacteria is shown in FIG. 3A. From this initial screen, 36 Dicty strains that were capable of feeding on both Dd and Pcc at 10° C. were identified (FIG. 1B).

Of the 36 strains capable of feeding on both Dd and Pcc, 34 came from the Group 4 Dictyostelids (FIG. 1). This group includes D. discoideum, D. giganteum, D. minutum, D. mucoroides, D. purpureum, and D. sphaerocephalum (72). The results indicate that this group is particularly enriched in Dd and Pcc-feeding strains.

A further experiment was performed to identify Dicty species capable of feeding on biofilms of Dd and Pcc. Microporous polycarbonate membranes (MPMs) are widely reported to support biofilm formation of numerous Enterobacteriaceae species (2, 63, 70, 71). It was determined if Dd and Pcc formed biofilms on MPMs and determined if Dicty strains were capable of feeding on these biofilms. Membranes were placed on top of SM2 agar to provide Dd and Pcc with nutrients for growth. Bacteria were then inoculated on the surface of the MPMs and growth was monitored over the course of 1 week by washing bacteria off the membranes and performing dilution plating for colony counting. Growth of both bacterial strains plateaued around 4 dpi (FIG. 2).

From these results, it was determined that the best time to collect inoculated MPMs for biofilm analysis was at 2 dpi. Scanning electron microscopy (SEM) is commonly used to confirm biofilm formation by detecting extracellular polymeric substance (EPS) that forms the biofilm matrix (2). Samples of Dd and Pcc after 2 days of growth on MPMs in the presence and absence of Dicty are analyzed using SEM.

19 Dicty strains identified as active were tested for their ability to feed on Dd and Pcc growing on MPMs. These experiments were performed by establishing Dd and Pcc growth on MPMs overlaid on SM2 agar at 37° C. for 24 hr. Dicty spores were then applied to the center of bacterial growth in a 5 uL drop containing 1000 spores. Bacteria and Dicty were incubated at 10° C. for 2 weeks before remaining bacteria were washed off and colonies were counted. Representative images of Dicty growing on Dd and Pcc on MPMs are shown in FIG. 3A.

No Dicty strains produced a statistically significant reduction in Dd viability compared to the non-treated control. However, treating Dd lawns with Cohen 36, Cohen 9, WS-15, WS-20, and WS-69 consistently reduced the number of viable bacteria by approximately 100,000-fold compared to the non-treated control (FIG. 3B). Cohen 9 was the only Dicty strain that produced a statistically significant reduction in viability of Pcc compared to the non-treated control (FIG. 3C). Other Dicty strains capable of reducing the number of viable Pcc by at least 100,000-fold were Cohen 35, Cohen 36, WS-647, and WS-69 (FIG. 3C).

It was observed that Dicty strains Cohen 9, Cohen 36, and WS-69 were capable of feeding on both Dd and Pcc when these bacteria were cultured on SM2 agar and MPMs (FIGS. 1 and 3). These strains were also particularly effective feeders as all three reduced the number of viable Dd and Pcc on MPMs at 10° C. by 100,000-fold compared to the non-treated control (FIGS. 3B and 3C).

To determine if these strains could suppress soft rot development on seed potato tubers, tubers were tab-inoculated with Dd or Pcc and treated with spores from each Dicty strain. Seed potatoes were surface-sterilized and punctured using a sterile screw to a depth of 1.5 mm. Overnight cultures of Dd and Pcc were suspended in 10 mM potassium phosphate buffer, diluted to an OD600 of approximately 0.003, and administered as a 5 μL drop into the wound. Next, 5 of a Dicty spore suspension (100,000 spores) was added to the wound. Inoculated seed potatoes were placed in a plastic container with moist paper towels and were misted with water twice a day to maintain a high humidity. After 3 days at room temperature, seed potatoes were sliced in half and the area of macerated tissue was quantified using ImageJ.

All three strains reduced the severity of soft rot caused by Dd and Pcc (FIG. 4). Cohen 36 was the most effective strain on both Dd and Pcc: reducing the area of tissue maceration by 60% and 35%, respectively (FIG. 4B). Treating seed potatoes with WS-69 reduced the area of tissue maceration by 50% and 30% for Dd and Pcc, respectively (FIG. 4B). Finally, Cohen 9 was the least effective, but still able to reduce tissue maceration caused by Dd and Pcc by 25% and 20%, respectively (FIG. 4B).

FIG. 7 shows that three Dicty isolates control Dd and Pcc in seed tubers (at 25° C.). Two sets of data from different weeks were normalized to the Dickeya or Pectobacterium only bacterial control. The average area of macerated potato tissue measured in mm2 was set as “1” or “100%”. The average of all the other treatments including Dicty were divided by bacteria only control and multiplied by 100 to obtain a percentage. Each set contained 5 tubers per treatment.

Dicty should be capable of sporulating at temperatures as cold as 10° C. on a potato surface if they are applied as a one-time pre-planting or post-harvest treatment. Sporulation was assessed by inoculating small potato discs (5×6 mm) with 10 μL of Dd or Pcc suspensions at an OD600 of 3×10−5 and Dicty spores at a concentration of 1×107 spores/mL. Potato discs were kept in a covered 96-well plate for two weeks at 10° C. followed by visual inspection for son using a dissecting microscope. Representative images of a strain producing many sori (WS-517) and a strain producing few sori (WS-69) are shown in FIG. 5. Of the 11 strains evaluated, only Cohen 9 and WS-20 were unable to sporulate in the presence of both pathogens (Table 1).

TABLE 1
Assessment of Dicty sporulation at 10° C. on potato
in the presence of Dd or Pcc. A (✓) indicates sori
have been observed while a ( [Figure (not displayed)]  ) means they have not.
Dicty strainDdPcc
Cohen 9[Figure (not displayed)]
Cohen 36
WS-69
WS-517
WS-588
WS-606
WS-15
WS-20[Figure (not displayed)]
DC-7
DC-61
WS-116d

Example 2

This example describes the use of a high throughput screening assay to identify Dicty strains from Alaska (e.g., BAC10A, BAF6A, BAC3A, NW2, KB4A (ATCC® MYA-4262™) SO8B, SO3A, BAF9B, IC2A (ATCC® MYA-4259™), AK1A1 (ATCC® MYA-4272™) PBF4B (ATCC® MYA-4263), PBF8B, BSB1A, SO5B (ATCC® MYA-4249), PBF3C, PBF6B, NW2B, NW10B (ATCC® MYA-4271™), PBF9A, IC5A (ATCC® MYA-4256TH), ABC8A (ATCC® MYA-4260), NW16B, ABC10B, ABB6B (ATCC® MYA-4261), BA4A (ATCC® MYA-4252), AKK5A, AKK52C, HP4 (ATCC® MYA-4286), HP8 (ATCC® MYA-4284), or NW9A) that feed on Dd and Pcc at 10° C. on potatoes.

Results from 11 Dicty strains screened against Dd at 10° C. are presented in FIG. 6. Data was analyzed for significance using a one-way analysis of variance (ANOVA; alpha =0.05) with Tukey's honest significant difference (HSD) test to compare means between the treatments and the No Dicty control. A reduction in Dd proliferation when potato discs were treated with Dicty strains Cohen 9, Cohen 36, WS-15, Maryland 18a, BAF6A, NW2, and SO3A.

The Alaskan Dicty strains, and those identified in Example 1, are further tested against coinfections of Dd and Pcc. It is useful to identify Dicty strains that can suppress Dd and Pcc coinfections as these two pathogens have been isolated together from diseased potatoes (15). The ability of Dicty strains with different feeding preferences (Dd vs. Pcc) to complement each other when administered as a cotreatment is assayed.

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Patent 2024
A-A-1 antibiotic Agar Amoeba Bacteria Biofilms Buffers Coinfection Cold Temperature Combined Modality Therapy Dickeya Dictyosteliida Enterobacteriaceae Extracellular Polymeric Substance Matrix Extracellular Polymeric Substances High-Throughput Screening Assays Human Body Humidity Microscopy neuro-oncological ventral antigen 2, human Nutrients Pathogenicity Pectobacterium Phenotype Plant Tubers polycarbonate potassium phosphate Scanning Electron Microscopy Solanum tuberosum Sporangia Spores Sterility, Reproductive Strains Technique, Dilution Tissue, Membrane Tissues Wounds
To determine if there was an exaggerated treatment effect at the CI’s site, the outcome data for participants recruited at this site for each trial were averaged, as were the data for participants from the remaining sites. For both trials, the primary outcome was the Oxford Shoulder Score (OSS),17 a shoulder-specific patient-reported outcome measure (total scores of 0 (worst outcome) to 48 (best outcome)), and therefore was the outcome used for analysis in this study at the one-year follow-up. The target difference between treatment groups for the two trials was set at a threshold of five or four points when testing for differences between surgery and non-surgical options or between surgical options, respectively. Data were analyzed by forest plot. To test for the presence of an early bias in treatment effect over time, the mean outcome for the quintiles of randomized patients was calculated and analyzed by forest plot. For both, a fixed effects model was used and the I2 value to determine heterogeneity. As UK FROST had three arms, separate analyses were carried out to compare all treatments. Review Manager (RevMan) 5 was used to undertake these analyses. This was repeated for the first five sites open compared with the remaining sites.
To examine the presence of selection bias, we explored whether there were differences in age or predictors of poor outcome between the patients who were randomized and those who either did not consent or were ineligible to take part. For age, the mean and standard deviation (SD) were calculated for the trial participants and for patients who were ineligible, eligible but did not consent, and the latter groups combined. For the ProFHER trial, the predictor of poor outcome was whether either tuberosity (a rounded prominence) of the humeral bone was involved in the fracture;15 (link) for UK FROST it was diabetic status.16 (link) The percentage of individuals who had tuberosity involved or were diabetic, for the respective trials, was calculated for the following groups: trial participants, ineligible patients, eligible but non-consenting patients, and the latter groups combined. To assess whether these changed over time, the participants were ordered by randomization date and split into quintiles (i.e. five equal groups). Each group was analyzed as above. The non-consenting and ineligible patients were combined and ordered by date of eligibility so that the quintiles matched the same time periods as the recruited group.
Publication 2023
Arm, Upper BAD protein, human Bones Eligibility Determination Forests Fracture, Bone Genetic Heterogeneity Humerus Operative Surgical Procedures Patients Plant Tubers Shoulder

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Publication 2023
Bone and Bones Bone Marrow Cardiac Arrest Cartilage Cicatrix Cortex, Cerebral General Anesthesia Laceration Ligaments, Coracoacromial Operative Surgical Procedures Patients Perfusion Plant Tubers Pressure Suture Anchors Sutures Tendons Tissues

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Publication 2023
Axilla Bone Density Bones Cortex, Cerebral Fellowships Humerus Osteopenia Plant Tubers Radiography Shoulder Surgeons
Data were collected through face-to-face interviews, anthropometric measurement, and serum ferritin analysis by trained research assistants. The questionnaire contained data on socio-economic, obstetric, maternal perception, food consumption, dietary diversity, knowledge, attitude, and practices of pregnant women. In addition, mid-upper arm circumference (MUAC) and maternal height measurements were taken. The nutritional status of the pregnant women was measured with non-stretchable MUAC tape and the reading value was taken to the nearest 0.1-cm. All measurements were performed threefold and the average value of two concordant readings was considered as the ultimate value. Pregnant women with average MUAC measurements of less than 23 cm were categorized as having “undernutrition” otherwise normal [25 , 26 (link)]. The questionnaire was initially prepared in English and translated to the local language (Afan Oromo) by individuals with good command of both languages. It was also pre-tested on 10% of the samples in Kersa District before actual implementation. Women’s hemoglobin concentration (in g/dL) was measured at each study site by well-trained medical technologists using HemoCue® Hb 301 system, according to the manufacturer’s instructions (HemoCue AB Ängelholm Sweden) which is a gold standard for fieldwork. A prick was done on the tip of the middle finger after the site was cleaned with disinfectant. The first drop of blood was cleaned off and the second drop was collected to fill the microcuvette which is then placed in the cuvette holder of the device for measuring hemoglobin concentration. Hemoglobin values were adjusted for altitude as per the Center for Disease Prevention and Control (CDC) recommendation [27 ].
As the detailed description has been given elsewhere in a previous papers [23 (link), 24 (link)], the formerly validated food frequency questionnaire (FFQ) containing 27 of the most common lists of food items consumed by the district community was used to assess the dietary diversity of the study participants [28 –33 ]. The food items in the FFQ were grouped into ten food groups, including cereal, white roots and tubers, pulse and legumes, nuts and seeds, dark green leafy vegetables, other vitamin A-rich fruits and vegetables, meat, fish and poultry, dairy and dairy product, egg, other vegetables, and other fruits. The sum of each food group pregnant women consumed over seven days was calculated to analyze the dietary diversity scores (DDS) [32 (link)]. Furthermore, the dietary diversity score was converted into tertiles, with the highest tertile labeled as a "high dietary diversity score" whereas both lower tertiles combined were defined as a “low dietary diversity score". The food variety score (FVS) is the frequency of individual food items consumed during the reference period. Therefore, it was estimated by calculating each individual’s intake of the 27 food items over seven days.
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Publication 2023
Arm, Upper BLOOD Cereals Dairy Products Diet Eating Fabaceae Face Ferritin Fingers Fishes Food Fowls, Domestic Fruit Gold Hemoglobin Malnutrition Meat Medical Devices Medical Technologist Mothers Nuts Plant Embryos Plant Leaves Plant Roots Plant Tubers Pregnant Women Pulse Rate Serum Vegetables Vitamin A Woman

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More about "Plant Tubers"

Explore the fascinating world of plant tubers, the underground storage organs that play a crucial role in plant survival and agriculture.
Tubers are modified stem tissues that serve as nutrient reservoirs, allowing plants to thrive during dormancy or unfavorable conditions.
Crops such as potatoes, yams, and cassava are well-known for their tubers, which are a staple food source for many cultures.
Researching plant tubers is essential for understanding their biology, cultivation, and potential applications in the agricultural and food production industries.
PubCompare.ai, an AI-driven platform, enhances the reproducibility and accuracy of plant tuber research by providing optimization tools for experimental protocols.
Its intelligent comparison features help researchers identify the best protocols and products from literature, preprints, and patents, streamlining plant tuber studies and improving research outcomes.
To support plant tuber research, scientists often utilize a range of tools and techniques, including the RNeasy Plant Mini Kit for RNA extraction, TRIzol reagent for RNA isolation, and the DNeasy Plant Mini Kit for DNA purification.
Whatman filter papers, such as Whatman No. 1, are commonly used for filtration and sample preparation.
High-throughput sequencing platforms like the HiSeq 2000 and analytical tools such as the Agilent 2100 Bioanalyzer and StepOnePlus Real-Time PCR System are invaluable for genetic and molecular analyses.
The NanoDrop ND-1000 spectrophotometer is also a widely used instrument for nucleic acid quantification.
By leveraging these resources and the insights provided by PubCompare.ai, researchers can optimize their plant tuber studies, enhance the reproducibility of their findings, and drive advancements in our understanding of these fascinating underground structures.
Explore the world of plant tubers and discover how PubCompare.ai can streamline your research journey.