Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
56
datasets available to search
ShareScore release 0.7.1
Dataset results
56 results for “Watermelon”
Data from: Carbon and Water Balances in a Watermelon Crop Mulched with Biodegradable Films in Mediterranean Conditions at Extended Growth Season Scale
<p><span>Abstract</span></p> <p><span>The uploaded data are relative to the investigation around (i) the carbon source/sink nature and, further, (ii) the water and carbon balances, of a drip-irrigated and mulched watermelon. The crop was cultivated under the semi-arid climate of the Apulia region, in south Italy.</span></p> <p><span>The used mulching films were biodegradable as indicate by the producer; plants and some non-standard fruits were left on the soil as green manure after harvesting, thus, the experiment spanned from planting to the subsequent crop (6 months of continuous measurement from June to November 2023). </span></p> <p><span>The results detailed in the original publication indicate that mulching films contribute to carbon sequestration in the soil (+19.3 gC m<sup>−2</sup>). However, this mulched watermelon represents a net carbon source, with a net biome exchange, as loss from ecosystems, equal to +230 gC m<sup>−2</sup>. This is primarily due to the substantial amount of carbon exported through marketable fruits. Fixed water scheduling led to water waste through deep percolation (approximately 1/6 of the water supplied), which also contributed to the loss of organic carbon via leaching (−4.3 gC m<sup>−2</sup>). </span></p> <p><span> </span></p> <p><span>Methods</span></p> <p><span>Site and crop</span></p> <p><span>The field site was at the CREA-AA Research Unit experimental farm located in southern Italy (Rutigliano–Bari, 41 01’ N, 17°01’ E, altitude 147 m a.s.l.)., characterized by a Mediterranean semi-arid climate (average annual rainfall of 535 mm). The soil is classified as Lithic Rhodoxeralf, with a clay texture, stable structure, shallow profile (0.6–1.1 m) and rapid drainage due to an underlying cracked limestone subsoil. The SOC content averages around 12.0 g kg<sup>−1</sup>. The field capacity and the permanent wilting point volumetric water contents are 0.36 and 0.21 m<sup>3</sup> m<sup>−3</sup>, respectively; with a bulk density of 1.15 Mg m<sup>−3</sup>, the available soil water ranges from 80 to 140 mm.</span></p> <p><span>The studied watermelon crop (seedless var. Lion king), followed a broccoli cabbage crop harvested in April and partially incorporated (0.81 kg m<sup>−2</sup> of fresh biomass in a soil layer depth of 0.30 m, corresponding to 0.69 kgH2O m<sup>−2</sup>) as green manure on 25 May 2023. Main tillage at medium depth ploughing (0.30 m) and seedbed preparation were performed between 25 and 30 May 2023; the biodegradable film mulch (model PC 100 d8, BASF, Italy, 1 m width) was applied on 1 June 2023. On the same day, driplines (2.1 Lh<sup>−1</sup> emitters, 0.60 m apart) and the main organic fertilization (Orga-Kem 6.11.8 + 11CaO, 300 kg ha<sup>−1</sup>) were also applied. The watermelon plants were transplanted on 9 June at a spacing of 2.70 m between rows and 1 m between plants, covering an area of about 4.0 ha, with a density of approximately 3200 plants ha<sup>−1</sup>. Every 6 rows, the inter-row distance was 5 m to facilitate machinery passage. The first irrigation was performed the day before planting. Crop management adhered to the usual treatments in the area including mechanical weed removal every 4 weeks, irrigation around three times per week to maintain optimal soil water conditions and monthly fertigation (ammonium sulphate 50 kg ha<sup>−1</sup>, magnesium nitrate 30 kg ha<sup>−1</sup>, calcium nitrate 60 kg ha<sup>−1</sup>, mycorrhizae 20 kg ha<sup>−1</sup>). The scalar harvest of marketable fruits occurred between 28 and 31 August 2023. After harvesting, on 25 September 2023, the fresh plant residues (0.6 kg m<sup>−2</sup> of fresh biomass, corresponding to 0.49 kgH2O m<sup>−2</sup>), unharvested fruits (4.0 kg m<sup>−2</sup> of fresh material, corresponding to 3.7 kgH2O m<sup>−2</sup>) and the mulching film were chopped by a tractor shredder and ploughed in two steps, on 2 and 13 October 2023, to a soil depth of 0.30 m. Measurements concluded at the end of November 2023, when tillage for the new winter crop commenced.</span></p> <p><span> </span></p> <p><span>Measurements of H<sub>2</sub>O and CO<sub>2</sub> fluxes; partitioning in evaporation, transpiration, photosynthesis and respiration</span></p> <p><span>The eddy covariance technique was employed to monitor water vapor (H<sub>2</sub>O) and carbon dioxide (CO<sub>2</sub>) fluxes. The equipment comprised a three-dimensional sonic anemometer (uSonic 3 Scientific, Metek GmbH, 25337 Elmshorn, Germany) and a fast response open-path infrared gas analyzer (LI-7500, Li-COR Inc., Lincoln, NE, USA). The three wind components, sonic temperature and atmospheric concentrations of CO<sub>2</sub> and H<sub>2</sub>O were continuously measured at 1.5 m above the crop canopy, with the sensor height adjusted to follow crop growth, reaching a maximum of 1.75 m. </span></p> <p><span>Data were recorded at a frequency of 10 Hz on a dedicated computer using the MeteoFlux software (Servizi Territorio, S.n.c., Cinisello Balsamo, Italy) and were stored on an hourly scale. Post-processing and computation of hourly fluxes of H<sub>2</sub>O (mmol m<sup>−2</sup> s<sup>−1</sup>) and CO<sub>2</sub> (</span>μ<span>mol m<sup>−2</sup> s<sup>−1</sup>) were conducted using EddyPro software, v7.0.9 (</span><a href="http://www.licor.com/eddypro"><span>http://www.licor.com/eddypro</span></a><span>), applying 60 min block averaging, double coordinate rotation, the statistical test, the maximum cross-covariance method, and the WPL density correction.</span></p> <p><span>H<sub>2</sub>O and CO<sub>2</sub> fluxes were partitioned into transpiration, evaporation, photosynthesis and respiration, respectively, using the flux variance similarity method. This method utilizes the Monin–Obukhov similarity theory to separate stomatal (photosynthesis, Fp, and transpiration, Ft) from non-stomatal (respiration, Fr, and evaporation, Fe) processes (Palatella et al., 2014). the H<sub>2</sub>O and CO<sub>2</sub> EC fluxes were partitioned using an adaptation of the code in Phyton provided by (Skaggs et al., 2018) and downloaded from <span> </span></span><a href="https://github.com/usda-arsussl/fluxpart"><span>https://github.com/usda-arsussl/fluxpart</span></a><span> (V0.2.10).</span></p>
Fig. 1 in Grouping and genetic diversity of different watermelon ecotypes based on agro-morphological traits and ISSR marker
Fig. 1. Grouping the watermelon ecotypes based on agro-morphological traits using UPGMA method. The symbols for the ecotypes are presented in Table 1.
Fig. 1 in Antixenotic and allelochemical resistance traits of watermelon against Bactrocera cucurbitae in a hot arid region of India
Fig. 1. Associations of major antixenotic and allelochemical fruit traits of watermelon with resistance to the melon fly evaluated by percentage fruit infestation under different infestation categories.
Fig. 3 in Factors Affecting Thrips (Thysanoptera: Thripidae) Population Densities in Watermelon Crops
Fig. 3. Daily average (mean ± standard error) of air temperature, wind speed, photoperiod, and rain during 2 seasons of watermelon cultivation.
Fig. 2 in Factors Affecting Thrips (Thysanoptera: Thripidae) Population Densities in Watermelon Crops
Fig. 2. Frankliniella schultzei and predator densities (mean ± standard error) in 2 seasons of watermelon cultivation. *When a pair of histograms is topped by the same letter, the average densities of this arthropod did not differ in the 2 seasons of cultivation according to the F test and P <0.05.
Fig. 1 in Factors Affecting Thrips (Thysanoptera: Thripidae) Population Densities in Watermelon Crops
Fig. 1. Frankliniella schultzei density depending on the position of the leaf on the branch in watermelon plants in vegetative (A), flowering (B), and (C) fruiting stages. The more apical leaf branch was considered number 1, the second number 2, and so on.
Acute Effects of Watermelon on Vascular Function and Serum Lycopene
ClinicalTrials.gov study NCT03608254. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Effects of Watermelon Juice Supplementation on Postprandial Vascular Endothelial Function
ClinicalTrials.gov study NCT04092439. IPD Sharing: NO. Countries: 1. Publications: 13.
Watermelon Focused Dietary Inflammatory Index Intervention
ClinicalTrials.gov study NCT03158740. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Analysis of the Structure and Conduct of Watermelon Marketing in Ibarapa Central Local Government Area of Oyo State
<p><i>This study was carried out to analyze the structure and conduct of watermelon marketing in Ibarapa Central Local Government Area of Oyo State. Specific objectives of the study include to describe the socio-economic characteristics of watermelon marketers, examine the marketing margin and marketing efficiency of marketers in the study area. Multi-stage sampling technique was employed to select 95 marketers. Primary data were collected using a set of well-structured questionnaire. Data were analyzed using descriptive statistics, Gini coefficient model and marketing efficiency index. The result of the study shows that 57.9% of the marketers were male, 41.1% were married, Gini Coefficient result of 0.56 indicated a moderate concentration of watermelon marketers. Market Efficiency Index of 2.43 revealed a high level of efficiency in the market. Inadequate shed and price fluctuation were among the major constraints identified in the study area. It was therefore recommended that Local Government Authority in the area should as a matter of urgency construct sets of buildings to serve as store or shop which will be made available at affordable prices to the marketers.</i></p>
Morphological characteristics of pollen from triploid watermelon and its fate on stigmas in a hybrid crop production system
<p>Hybrid crop production is more reliant on pollinators compared to open-pollinated crops because they require cross-pollination between a male-fertile and a male-sterile line. Little is known about how stigma receipt of pollen from male-sterile genotypes affects reproduction in hybrids. Non-viable and non-compatible pollen cannot fertilise plant ovules, but may still interfere with pollination success. Here we used seedless watermelon (<em>Citrullus lanatus</em> (Thunb.) Matsum. & Nakai) as a model hybrid plant, to evaluate the morphology, physiology, and movement of pollen from inter-planted genotypes (diploids and triploids). We found that pollen from triploids ('Exclamation' and 'Royal Armada') and diploids ('SP-6', 'Summer Flavor 800', and 'Tiger') was visually distinguishable. Pollen in triploids had more deformities (42.4–46%), tetrads (43–44%), and abnormal growth of callose plugs in pollen tubes. The amount of pollen in triploids to germinate on stigmas was low (8 ± 3%), and few pollen grains produced pollen tubes (6.5 ± 2%). Still, contrary to previous reports our results suggest that some viable pollen grains are produced by triploid watermelons. However, whilst honey bees can collect and deposit pollen from triploids onto stigmas, its effect on hybrid watermelon reproduction is likely to be minimal due to its low germination rate.</p>
Supplementary Material Video S1 Method to show how the new grafting tool is used-A new grafting method for watermelon to inhibit rootstock regrowth and enhance scion growth
<p>Supplementary Material: A new grafting method for watermelon to inhibit rootstock regrowth and enhance scion growth</p>
Data from: Honey bees are the most abundant visitors to Australian watermelon but native stingless bees are equally effective as pollinators
<p><span>Despite the benefits of a diverse approach to crop pollination, global food production remains reliant on a low diversity of managed pollinators, especially </span>the European honey bee (<em>Apis mellifera</em>). To facilitate more robust pollinator management and improve the resilience of the production system, it is necessary to understand regional variation in the pollination ecology of global food crops. Watermelon (<em>Citrullus lanatus</em> (Thunb.) Matsum. & Nakai) is a highly insect pollinator-dependent crop and even though it is grown globally across many different climate zones, little is known about its pollination ecology across the diverse growing regions of Australia, spanning from the tropics to the arid zone. We compared the species composition, visitation rates, and effectiveness of the dominant floral visitors on 15 farms across five major watermelon-growing regions of Australia. We found that insect species composition differed significantly among regions, but honey bees were the dominant watermelon flower visitor, with relative abundance varying from 73 - 94%. However, native bees (including stingless bees <em>Tetragonula</em> sp., and bees from Families Megachilidae, and Halictidae such as <em>Lasioglossum</em>, <em>Homalictus</em>, <em>Lipotriches</em>), and flies (particularly Syrphidae sp.) also visited and transferred pollen onto watermelon flowers. In particular, native stingless bees were common visitors in several growing regions and deposited similar amounts of pollen to honey bees. Our findings indicate that the Australian watermelon industry utilizes honey bees, but the diverse assemblage of available native pollinating taxa provides an additional opportunity for growers in specific growing regions. These native taxa may be encouraged in the production system by deploying managed populations (e.g. native stingless bee colonies), employing pollinator-safe land management practices, as well as exploring methods for increasing the efficiency of managed honey bee colonies.</p>
Watermelon Supplementation and Arterial Stiffness
ClinicalTrials.gov study NCT01185041. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effects of Fresh Watermelon Consumption on Satiety and Cardiometabolic Health
ClinicalTrials.gov study NCT03380221. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Bioactive Compounds in Watermelon Modulating Oxidative Stress and Inflammation in Elders
ClinicalTrials.gov study NCT03626168. IPD Sharing: NO. Countries: 0. Publications: 3.
Markers of Atherosclerosis in Overweight, Postmenopausal Women Following Daily Watermelon Consumption
ClinicalTrials.gov study NCT04015544. IPD Sharing: NO. Countries: 1. Publications: 5.
Watermelon and Beetroot Products on Endothelial Function
ClinicalTrials.gov study NCT04781595. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Honey bees are the most abundant visitors to Australian watermelon but native stingless bees are equally effective as pollinators
Open the record for dataset details and reuse information.
Data from: Chromosome numbers, Sudanese wild forms, and classification of the watermelon genus Citrullus, with 50 names allocated to seven biological species
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.