Academic literature on the topic 'Strawberry'

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Journal articles on the topic "Strawberry"

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Chandler, C. K., D. E. Legard, D. D. Dunigan, T. E. Crocker, and C. A. Sims. "`Strawberry Festival' Strawberry." HortScience 35, no. 7 (December 2000): 1366–67. http://dx.doi.org/10.21273/hortsci.35.7.1366.

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Dong, Jing, Yan Juan Pan, Guang Fa Liu, and Jian Qing Wang. "Effect of Modified Atmosphere Packaging on Strawberry Preservation." Applied Mechanics and Materials 469 (November 2013): 189–93. http://dx.doi.org/10.4028/www.scientific.net/amm.469.189.

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The effect of modified atmosphere packaging for strawberry was discussed in this study. The best gas condition was explored to extend the shelf life of strawberry in refrigerated temperature. The 20μm PE film was used to build modified atmosphere packaging. The optimum gas condition for strawberrys modified atmosphere packaging was selected while concerned with the respiration rate, firmness, rot grade, vitamin C content, total soluble solids, titratable acidity, sensory evaluation and other quality indicators respectively. The results suggest that: In 60% O2 + 1.5% CO2 gas condition, it could be kept low rot grade, maintained the firmness, vitamin C content, total soluble solids, titratable acidity content, and sensory evaluation was not falling heavily. As the season in which strawberries were abundant was of high temperature, the effect of preservation was more apparent in 5±1°C. Modified atmosphere packaging discussed above could extend the strawberrys shelf life to 22 days.
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Barbey, Christopher R., Seonghee Lee, Sujeet Verma, Kevin A. Bird, Alan E. Yocca, Patrick P. Edger, Steven J. Knapp, Vance M. Whitaker, and Kevin M. Folta. "Disease Resistance Genetics and Genomics in Octoploid Strawberry." G3: Genes|Genomes|Genetics 9, no. 10 (August 16, 2019): 3315–32. http://dx.doi.org/10.1534/g3.119.400597.

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Octoploid strawberry (Fragaria ×ananassa) is a valuable specialty crop, but profitable production and availability are threatened by many pathogens. Efforts to identify and introgress useful disease resistance genes (R-genes) in breeding programs are complicated by strawberry’s complex octoploid genome. Recently-developed resources in strawberry, including a complete octoploid reference genome and high-resolution octoploid genotyping, enable new analyses in strawberry disease resistance genetics. This study characterizes the complete R-gene collection in the genomes of commercial octoploid strawberry and two diploid ancestral relatives, and introduces several new technological and data resources for strawberry disease resistance research. These include octoploid R-gene transcription profiling, dN/dS analysis, expression quantitative trait loci (eQTL) analysis and RenSeq analysis in cultivars. Octoploid fruit eQTL were identified for 76 putative R-genes. R-genes from the ancestral diploids Fragaria vesca and Fragaria iinumae were compared, revealing differential inheritance and retention of various octoploid R-gene subtypes. The mode and magnitude of natural selection of individual F. ×ananassa R-genes was also determined via dN/dS analysis. R-gene sequencing using enriched libraries (RenSeq) has been used recently for R-gene discovery in many crops, however this technique somewhat relies upon a priori knowledge of desired sequences. An octoploid strawberry capture-probe panel, derived from the results of this study, is validated in a RenSeq experiment and is presented for community use. These results give unprecedented insight into crop disease resistance genetics, and represent an advance toward exploiting variation for strawberry cultivar improvement.
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Kim, Jong Kyu, Jae-Mee Lee, and Jin Chul Joo. "Generation of Nano Bubbles Using Cavitation Technique and Monitoring of Strawberry Growth by the Generated Nano Bubbles." Journal of Nanoscience and Nanotechnology 21, no. 7 (July 1, 2021): 3769–72. http://dx.doi.org/10.1166/jnn.2021.19204.

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In this study, nano bubbles (NBs) of around 100 nm size were generated by using GoodSam-NB generator (made by S company) which utilizes cavitation technique. The generated NBs were directly applied to the strawberry cultivation process to monitor the productivity of strawberry. When the aqueous nutrient solution with NBs was supplied to the strawberry culture medium, it had a slightly higher initial concentration of dissolved oxygen (DO) compared to the nutrient solution prepared with ordinary groundwater at a concentration of about 9 mg/L and did not decrease over time. In other words, NBs helped to supply DO to support the development of roots in the early stage of strawberry’s growth, thereby promoting the overall growth of strawberries. After feeding the NBs nutrient solution, the nitrate concentration of the discharged solution was analyzed. The concentration of the nitrate in the effluent was reduced, hence the growth of strawberry was promoted. It can be concluded that the DO contained in aqueous nutrient solution with NBs helped the nitrate to be smoothly taken from the soil.
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Mukai, Hiroo, Toshihiko Takagi, Yasuhiro Nakamura, and Tetsuo Suzuki. "722 PB 438 FRUIT QUALITY OF STRAWBERRY GUAVA." HortScience 29, no. 5 (May 1994): 536e—536. http://dx.doi.org/10.21273/hortsci.29.5.536e.

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Fruit quality of strawberry guava, yellow strawberry guava (Psidium cattleianum Sabine) and red strawberry guava (Psidium cattleianum Sabine var. luidium) was investigated. Fruit weight of yellow strawberry guava ranged from 7.9 to 39.2 g, and that of red strawberry guava ranged from 3.6 to 15.9 g. Yellow strawberry guava was round, and red strawberry guava was ovoid, in fruit shape. strawberry guava fruit had many hard seeds. Yellow and red strawberry guava contained 16 to 137 and 5 to 33 seeds per fruit. Seed of red strawberry guava was bigger than that of yellow strawberry guava. Sucrose, glucose, and fructose were contained in strawberry guava fruit. Sucrose, glucose, and fructose contents of yellow strawberry guava fruit were 6.69%, 3.61%, and 6.27%, respectively. Those of red strawberry guava fruit were 9.52%, 2.09%, and 3.39%, respectively. Strawberry guava fruit contained about 1% of titratable acidity. Total ascorbic and dehydro-ascorbic acid contents of yellow strawberry guava fruit were 57.9 mg/100ml and 41.6 mg/100ml, respectively. Those of red strawberry guava were 81.4 mg/100ml and 74.4 mg/100ml, respectively. Fruit quality of strawberry guava was suitable to eat freshly.
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Kim, Jin-Sook, Eun-Jung Kang, Young-Eun Chang, Ji-Hyun Lee, Gi-Chang Kim, and Kyung-Mi Kim. "Characteristics of Strawberry Jam Containing Strawberry Puree." Korean journal of food and cookery science 29, no. 6 (December 31, 2013): 725–31. http://dx.doi.org/10.9724/kfcs.2013.29.6.725.

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Martin, Robert R., and Ioannis E. Tzanetakis. "High Risk Strawberry Viruses by Region in the United States and Canada: Implications for Certification, Nurseries, and Fruit Production." Plant Disease 97, no. 10 (October 2013): 1358–62. http://dx.doi.org/10.1094/pdis-09-12-0842-re.

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There is limited information about the distribution of strawberry viruses in North America and around the world. Since the turn of the century, there has been a concerted effort to develop sensitive tests for many of the previously uncharacterized, graft-transmissible agents infecting strawberry. These tests were employed to determine the presence of strawberry viruses in major strawberry production and nursery areas of North America. The viruses evaluated in this study were Apple mosaic, Beet pseudo-yellows, Fragaria chiloensis latent, Strawberry chlorotic fleck, Strawberry crinkle, Strawberry latent ring spot, Strawberry mild yellow edge, Strawberry mottle, Strawberry necrotic shock, Strawberry pallidosis, Strawberry vein banding, and Tobacco streak. The aphid-borne viruses were predominant in the Pacific Northwest whereas the whitefly-borne viruses were prevalent in California, the Midwest, and the Southeast. In the Northeast, the aphid-transmitted Strawberry mottle and Strawberry mild yellow edge viruses along with the whitefly-transmitted viruses were most common. The incidence of pollen-borne viruses was low in most areas, with Strawberry necrotic shock being the most prevalent virus of this group. These results indicate that there are hotspots for individual virus groups that normally coincide with the presence of the vectors. The information presented highlights the high-risk viruses for nursery production, where efforts are made to control all viruses, and fruit production, where efforts are made to control virus diseases.
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Kenny, Maurice. "Wild Strawberry." Wicazo Sa Review 1, no. 1 (1985): 40. http://dx.doi.org/10.2307/1409425.

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Galletta, G. J., and J. L. Maas. "Strawberry Genetics." HortScience 25, no. 8 (August 1990): 871–79. http://dx.doi.org/10.21273/hortsci.25.8.871.

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Khanizadeh, Shahrokh, Deborah Buszard, Michel Lareau, and Domenico Bagnara. "`Chambly' Strawberry." HortScience 25, no. 8 (August 1990): 984–85. http://dx.doi.org/10.21273/hortsci.25.8.984.

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Dissertations / Theses on the topic "Strawberry"

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McGoldrick, Sam J. "Strawberry Fields." Digital Commons at Loyola Marymount University and Loyola Law School, 2017. https://digitalcommons.lmu.edu/etd/310.

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Liu, Bo. "Sustainable strawberry production and management including control of strawberry powdery mildew." Thesis, University of Hertfordshire, 2017. http://hdl.handle.net/2299/19051.

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At present, the global population is increasing, while soil and fresh water resources for crop production are declining. It is important to adopt sustainable practices to optimise the use of limited natural resources without compromising the environment, and to enhance continuous production in the long term. The rapid growth of UK strawberry industry has been achieved through the precision use of varieties, nutrients and polythene tunnels. This intensive production has caused significant environmental impacts especially Greenhouse Gas (GHG) emissions from the production. Strawberry powdery mildew (Podosphaera aphanis) is a major fungal disease affecting strawberry production worldwide particularly in polythene tunnels. The disease can result in yield losses of up to 70% of the crop. A ruleQbased system was used in the field trials to predict high risk days of P. aphanis development, taking into account the optimal environmental conditions conducive to conidial germination and disease development. The results (Chapter 3) showed that the use of this prediction system achieved satisfactory control of P. aphanis in commercial strawberry production, with reduced fungicide applications compared with commercial spray programme. The results were consistent in two consecutive years and on different varieties. In addition, it was suggested that the use of the prediction system may also lead to lower GHG emissions associated with fewer fungicide applications, thereby benefit strawberry growers both environmentally and economically. Results from 2014 & 2015 silicon fertigation trials showed that the use of a silicon nutrient via the fertigation system reduced the strawberry susceptibility to P. aphanis and twoQspotted spider mites (Tetranychus urticae Koch) in two consecutive years on different varieties (Chapter 4). In both years, crops received the silicon nutrient only without fungicides had both lower rate of epidemic (r) and lower value of Area Under the Disease Progress Curve (AUDPC) (r = 0.0036, AUDPC = 475 in 2014; r = 0.001, AUDPC = 267 in 2015) compared with the untreated control (r = 0.0042, AUDPC = 662 in 2014; r = 0.0011, AUDPC = 281 in 2015). Silicon also delayed the epidemic buildQup in the silicon nutrient only treatment for approximately two weeks compared with the untreated control. Crops from the silicon nutrient plus fungicides treatment had lower susceptibility (r = 0.0012 in 2014; r = 0.0004 in 2015) than those from the fungicides only treatment (r = 0.0017 in 2014; r = 0.0005 in 2015) suggesting that the silicon nutrient may also enhance fungicides performance in reducing the epidemic buildQup when used together. Moreover, the presence of T. urticae on strawberry leaves was significantly lower (P < 0.001) in plants treated with the silicon nutrient than those without. In addition, initial results suggested that silicon may play a positive role in raising °Brix of strawberry leaf petiole, improving pollen viability, and influencing the length of flower receptacle and stamens. Maltmas Farm has a wide range of semiQnatural habitats that provide food and nesting resources for wild pollinators. Hoverflies, bumblebees and solitary bees were found to be the main wild pollinators that pollinate commercial strawberries at Maltmas Farm (Chapter 5). The number of pollinators in tunnels or open fields significantly correlated with the abundance of strawberry flowers (P < 0.05). Pollinator presence also differed between groups throughout the day and over the seasons. Hoverflies appeared early in the day and were abundant in summer months; bumblebees and solitary bees were present most of the day and throughout the season, whereas honeybees were only active in sunny days. Temperatures, relative humidity and cloud coverage also affected pollinator presence. In addition, pollinator activity was not significantly (P > 0.05) affected by the application of the silicon nutrient via the fertigation system. The integrated use of the prediction system (to reduce fungicide applications and subsequent GHG emissions), the silicon nutrient (to reduce crop susceptibility to P. aphanis and T. urticae), and sustainable farmland management (to encourage the presence of wild pollinators) could help strawberry growers to achieve a more sustainable production.
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Lu, Nan. "Transposon Tagging in Strawberry and Potato and Characterization of Representative Strawberry Mutants." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/51827.

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Strawberry and potato are both important crop species in the world providing various nutritional values. The cultivated strawberry, Fragaria ananassa, is a fruit crop with a complex genome (2n=8x=56) whereas the diploid woodland strawberry, Fragaria vesca, has a smaller genome (2n=2x=14, 240 Mb) and lots of other qualities that make it a good model for genetic and genomic study, such as high yield of seeds and efficient transformation. Potato (Solanum tuberosum, 2n=4x=48) is an important vegetable crop in the world and is highly heterozygous. The successful sequencing of the homozygous doubled monoploid clone of potato provides good insight into the study of important genes in this species in improving the pest resistance and improving yield. One approach to characterize gene function in a model system is having large populations of T-DNA insertional or transposon tagged mutants. The idea of using AcDs construct to create transposon tagged mutant populations has also been applied in many species. Here we transformed two species, Fragaria vesca and a monoploid potato, Solanum phureja 1-3-516, which is the progenitor of the sequenced doubled monoploid clone, with the same AcDs construct, Ac-DsATag-Bar_gosGFP, to generate mutant collection, compare the marker gene performance and transposition efficiency, as well as characterizing phenotypic mutants with genes of interest. Transposants were found to reinsert to unlinked sites from the launch pad site in the strawberry genome, whereas in potato transposants tended to locate locally from the launch pad position when using the same construct. One transposon based activation tagging strawberry mutant, with its insertion in the promoter region of gene of interest in strawberry from the Ac-DsATag-Bar_gosGFP population was studied. In a segregating T2 population, expression level of the candidate gene, epidermis-specific secreted glycoprotein EP1 precursor, was 670 fold higher in petioles of homozygotes than in wild type plants, suggesting the function of this gene involved in maintaining mechanical strength of petioles. Since the often-used transposase gene was cloned from the monocot species maize, the efficiency of obtaining germinal transposants was many times lower than expected in order to saturate the genome for diploid species. In order to improve the chance of getting unique transposants, we attempted to codon optimize the transposase gene, as well as switching to microspore specific promoters that had been well characterized to control timing of expression of the transposase gene. Transposants were found in both T0 primary regenerates and anther culture derived potatoes using both the pAcDs-AtSCP and pAcDs-AmDEFH125 constructs. Sequencing of the empty donor site revealed that excision occurred in different cells during anther culture. A strawberry mutant with sugar transport deficiency due to T-DNA insertion near a sucrose transporter-2 gene showing stunted phenotype with increased level of anthocyanin was also characterized. The concentrations of sucrose, glucose, and fructose were significantly greater in source leaves of the mutant than wild type plants, suggesting these compounds might be substrates of this gene in transporting to sink leaves and roots.
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Lepine, Yves. "Strawberry handling in Quebec." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61839.

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Jawee, Ahd Abdul Karim. "Studies on the aphid borne virus diseases strawberry mottle and strawberry mild yellow edge." Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262462.

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Lloyd, Sonja Jane. "Strawberry disease in rainbow trout." Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Dissertations/Fall2009/s_lloyd_100609.pdf.

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Ratphitagsanti, Wannasawat. "Processing and properties of strawberry leathers /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1426098.

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SHUMAN, JOEL LEE. "ANTHRACNOSE FRUIT ROT RESISTANCE IN STRAWBERRY." NCSU, 2001. http://www.lib.ncsu.edu/theses/available/etd-20011113-210925.

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The purpose of this research has been to determine the nature of strawberry fruit resistance to anthracnose fruit rot. Production in the United States and North Carolina is heavily dependent upon two cultivars, Chandler and Camarosa. Both cultivars are susceptible to anthracnose fruit rot (AFR), caused by the imperfect fungus . Results from this research will be used to further our understanding of the strawberry- system and to control AFR through breeding strategies or cultural practices. Components of resistance in strawberry to AFR were studied under field and controlled environment conditions; five strawberry genotypes were inoculated with conidia of under field conditions and seven genotypes were inoculated with either five inoculum concentrations or three isolates of in growth chambers. Strawberry genotypes responded differently to in the field and in a controlled environment. Components of resistance to AFR included rate-limiting resistance, reduced percent lesion, reduced probability of lesion formation due to fruit age and genotype, and plant canopy architecture. Rates of disease progress were different among genotypes, inoculum concentrations, isolates, and the genotype x isolate interaction. Susceptible genotypes and virulent isolates had faster rates of disease progress. Differences were observed among genotypes for yield, percent by weight, and number of berries with AFR. Plant canopy architecture influenced the hours of fruit wetness and the yield of berries with AFR; a loose open canopy had fewer hours. Young and old fruit were less susceptible to AFR than fruit of median age.

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Fitter, Yavisht. "Strawberry Detection Under Various Harvestation Stages." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2018.

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This paper analyzes three techniques attempting to detect strawberries at various stages in its growth cycle. Histogram of Oriented Gradients (HOG), Local Binary Patterns (LBP) and Convolutional Neural Networks (CNN) were implemented on a limited custom-built dataset. The methodologies were compared in terms of accuracy and computational efficiency. Computational efficiency is defined in terms of image resolution as testing on a smaller dimensional image is much quicker than larger dimensions. The CNN based implementation obtained the best results with an 88% accuracy at the highest level of efficiency as well (600x800). LBP generated moderate results with a 74% detection accuracy at an inefficient rate (5000x4000). Finally, HOG’s results were inconclusive as it performed poorly early on, generating too many misclassifications.
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Isci, Asli. "Recovery Of Strawberry Aroma Compounds By Pervaporation." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605084/index.pdf.

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Pervaporation is a selective membrane technique in which a liquid feed mixture is separated by means of partial vaporization through a non-porous perm-selective membrane. This method can be used for the recovery of heat sensitive aroma compounds to avoid them from thermal damage in beverage industries. The main objective of this study was to determine the effects of feed temperature (30, 40, 50°
C), composition (different model solutions, strawberry essence), concentration (50, 100, 150 ppm) and permeate pressure (4, 8 mbar) on the recovery of aroma compounds of strawberry by pervaporation in terms of mass flux and selectivity. In addition, it was aimed to optimize the extraction conditions (extraction time, temperature, agitation speed, strawberry matrix) of Solid-phase microextraction (SPME), which is used for the analysis of strawberry aroma compounds. Optimum results for SPME were obtained at 40°
C, 700 rpm for 30 min and no matrix effect was observed. Pervaporation experiments were performed using a hydrophobic membrane, PERVAP 1070 (PDMS). As the feed temperature increased, the mass flux and selectivity increased and the total mass flux followed an Arrhenius type relation. Decreasing downstream pressure increased both total flux and selectivity, while increase in feed concentration led to higher organic fluxes but lower selectivities. In general, PERVAP 1070 showed a higher selectivity towards Methyl butyrate (MTB) than Ethyl butyrate (ETB) and MTB flux was affected negatively by the presence of ETB in the feed solution. Pervaporation experiments were also performed with a strawberry essence and strawberry model solution. The selectivities of MTB and ETB were negatively affected by the presence of other aroma compounds.
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Books on the topic "Strawberry"

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Amy, Mebberson, ed. Strawberry Shortcake: Strawberry Noir. San Diego, CA: Idea & Design Works, LLC, 2017.

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Shanks, Carl H. Strawberry aphids and strawberry viruses. Pullman: Cooperative Extension, College of Agriculture & Home Economics, Washington State University, 1986.

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Shanks, Carl H. Strawberry aphids and strawberry viruses. Pullman, Wash: Cooperative Extension, College of Agriculture & Home Economics, Washington State University, 1985.

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Coldrey, Jennifer. Strawberry. Englewood Cliffs, NJ: Silver Burdett Press, 1989.

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Coldrey, Jennifer. Strawberry. Englewood Cliffs, NJ: Silver Burdett Press, 1989.

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Jr, Drayton Richard. Strawberry Siren. Indianapolis: Dog Ear Publishing, 2011.

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Strawberry yellow. Pasadena, Calif: Prospect Park Books, 2013.

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Flynn, Katie. Strawberry fields. London: Arrow Books, 2013.

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McFadden, Linda. Strawberry lane. Temecula, CA: Cats in the Cradle Publications, 2002.

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Strawberry shortcakes. Tōkyō: Shōdensha, 2002.

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Book chapters on the topic "Strawberry"

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Bährle-Rapp, Marina. "strawberry." In Springer Lexikon Kosmetik und Körperpflege, 534. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_10117.

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Chandler, Craig K., Kevin Folta, Adam Dale, Vance M. Whitaker, and Mark Herrington. "Strawberry." In Fruit Breeding, 305–25. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-0763-9_9.

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Reddy, P. Parvatha. "Strawberry." In Sustainable Crop Protection under Protected Cultivation, 245–60. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-952-3_21.

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Quintero-Arias, G., J. Vargas, J. F. Acuña-Caita, and J. L. Valenzuela. "Strawberry." In Temperate Fruits, 449–89. Series statement: Innovations in horticultural science: Apple Academic Press, 2020. http://dx.doi.org/10.1201/9781003045861-8.

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Hokanson, Stan C., and John L. Maas. "Strawberry Biotechnology." In Plant Breeding Reviews, 139–80. Oxford, UK: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470650196.ch4.

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Waser, Georges. "Strawberry Hill." In Londoner Tagebuch, 15–16. Basel: Birkhäuser Basel, 1990. http://dx.doi.org/10.1007/978-3-0348-6429-9_4.

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Gratwick, Marion. "Strawberry mite." In Crop Pests in the UK, 366–68. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-1490-5_73.

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Pérez, Ana G., and Carlos Sanz. "Strawberry Flavor." In Handbook of Fruit and Vegetable Flavors, 431–49. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470622834.ch23.

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Hancock, James F. "Strawberry species." In Strawberries, 1–31. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789242270.0001.

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Risby, Bonnie Lou, and Jean Thornley. "Strawberry Picking." In Connections, 21. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003233794-21.

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Conference papers on the topic "Strawberry"

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Boy, Virginie, Lubana Al-Sayed, Emmanuel Madieta, Emira Mehinagic, and Jean-Louis Lanoisellé. "Pulsed Electric Fields (PEF) as pre-treatment for freeze-drying of plant tissues." In 21st International Drying Symposium. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/ids2018.2018.7484.

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The influence of pulsed electric fields (PEF) treatment on freeze-drying for potato and strawberry tissues was investigated. Samples were pre-treated by PEF ( 400 V cm-1) for different treatment times. Freeze-drying was carried out at -17°C and 18.4 Pa or 30 Pa for potato and strawberry tissues, respectively. The effects of PEF pre-treatment was compared with intact samples. The drying time was reduced by 35% for potato and 30% for strawberry. The sample rehydration capacity and the electrolytes released during the rehydration were higher for pre-treated samples. Strawberries texture was characterized by the hardness, the cohesiveness and the springiness.Keywords: Pulsed Electric fields; Freeze-drying; Potato; Strawberry; Textural Properties.
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Kim, Seo-Jeong, Sunghwan Jeong, Heegon Kim, Sooho Jeong, Ga-Yun Yun, and Keunho Park. "Detecting Ripeness of Strawberry and Coordinates of Strawberry Stalk using Deep Learning." In 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2022. http://dx.doi.org/10.1109/icufn55119.2022.9829583.

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Kim, TaeHong, YoonSeok Cha, SooHee Oh, Byungrae Cha, Sun Park, and JaeHyun Seo. "Prototype of Strawberry Maturity-level Classification to Determine Harvesting Time of Strawberry." In SMA 2020: The 9th International Conference on Smart Media and Applications. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3426020.3426050.

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López-Ortiz, A., M. J. León,, F. I. Pilatowsky, and L. L. L. Méndez. "Solar drying of strawberry coated with nopal mucilage: It’s effect on phenolic compounds." In 21st International Drying Symposium. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/ids2018.2018.7277.

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The objective of this study was to evaluate the effect of indirect solar drying (ISD) and conventional (CD) (40, 50, 60 °C) on the concentration of phenolic compounds of strawberry slices, coated with opuntia mucilage (Opuntia ficus indica), and measured with the spectrophotometric method. The indirect solar dryer uses solar-thermal and photovoltaic technology with temperatures between 40 and 60 °C. The concentration of anthocyanins was higher in the ISD than in CD. The strawberry coated with the nopal mucilage has a preservation of phenolic compounds in CD and IDS. Keywords: strawberry, solar drying, phenolic compounds
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Qingchun, Feng, Zheng Wengang, Qiu Quan, Jiang Kai, and Guo Rui. "Study on strawberry robotic harvesting system." In 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE). IEEE, 2012. http://dx.doi.org/10.1109/csae.2012.6272606.

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Santiago, Aguirre, Leonardo Solaque, and Alexandra Velasco. "Strawberry Disease Detection in Precision Agriculture." In 18th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010616405370544.

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Mo, Fan, Cong Ge, Yanling Li, Hao-Ru Tang, Qing Chen, Bo Sun, Yong Zhang, and Ya Luo. "Abscisic Acid Affects Strawberry Fruit Quality." In Proceedings of the 2018 International Conference on Management, Economics, Education, Arts and Humanities (MEEAH 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/meeah-18.2018.4.

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Wang, Xiran, Jiangang He, and Haoru Tang. "Bioinformatic Analysis of Strawberry Rbsc Gene." In 2018 International Workshop on Bioinformatics, Biochemistry, Biomedical Sciences (BBBS 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/bbbs-18.2018.33.

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Wang, Xiran, Jiangang He, and Haoru Tang. "Bioinformatic Analysis of Strawberry PGR5 Gene." In 2018 International Workshop on Bioinformatics, Biochemistry, Biomedical Sciences (BBBS 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/bbbs-18.2018.49.

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Wang, Xiran, Jiangang He, and Haoru Tang. "Bioinformatic Analysis of Strawberry PTOX Gene." In 2018 International Workshop on Bioinformatics, Biochemistry, Biomedical Sciences (BBBS 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/bbbs-18.2018.7.

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Reports on the topic "Strawberry"

1

Haynes, Cynthia L. Strawberry Demonstration. Ames: Iowa State University, Digital Repository, 2008. http://dx.doi.org/10.31274/farmprogressreports-180814-1146.

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Haynes, Cynthia L. Strawberry Demonstration. Ames: Iowa State University, Digital Repository, 2008. http://dx.doi.org/10.31274/farmprogressreports-180814-239.

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Haynes, Cynthia L., and David Rueber. Strawberry Demonstration. Ames: Iowa State University, Digital Repository, 2009. http://dx.doi.org/10.31274/farmprogressreports-180814-432.

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Haynes, Cynthia L. Strawberry Demonstration. Ames: Iowa State University, Digital Repository, 2008. http://dx.doi.org/10.31274/farmprogressreports-180814-837.

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Lawson, Vincent, and Gail R. Nonnecke. Strawberry Cultivar Trial. Ames: Iowa State University, Digital Repository, 2007. http://dx.doi.org/10.31274/farmprogressreports-180814-1042.

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O'Malley, Patrick, and Kenneth T. Pecinovsky. Strawberry Variety Trial. Ames: Iowa State University, Digital Repository, 2004. http://dx.doi.org/10.31274/farmprogressreports-180814-1243.

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O'Malley, Patrick, and Kenneth T. Pecinovsky. Strawberry Cultivar Trial. Ames: Iowa State University, Digital Repository, 2006. http://dx.doi.org/10.31274/farmprogressreports-180814-141.

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O'Malley, Patrick, and Kevin Van Dee. Strawberry Variety Trial. Ames: Iowa State University, Digital Repository, 2003. http://dx.doi.org/10.31274/farmprogressreports-180814-191.

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O'Malley, Patrick, and Kenneth T. Pecinovsky. Strawberry Variety Trial. Ames: Iowa State University, Digital Repository, 2005. http://dx.doi.org/10.31274/farmprogressreports-180814-2163.

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O'Malley, Patrick, and Kevin Van Dee. Strawberry Variety Trial. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-2186.

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