Melon Yield Research Articles

Physical and Chemistry Characteristics of Ice Cream with Additional Bitter Melon Puree

Ice cream made from added with bitter melon puree it is hoped will get a unique taste. The processing of this ice cream utilizes the abundant yield of bitter melon from an area. This study aims to examine the chemical properties (vitamin C, and β-carotene) and physical properties (viscosity, overrun, and melting power). The type of research used is experimental research. The design in this study used a completely randomized design (CRD) with one treatment, namely the addition of bitter melon puree with three percentages (50 percent, 40 percent, 30 percent). The data obtained were then analyzed using the ANOVA method if there was a difference followed by DMRT. There are significant differences in vitamin C levels, β-carotene levels, viscosity, overrun value, and melting power. The highest levels of vitamin C were found in the addition of bitter melon puree by 50 percent, the highest β-carotene levels were found in the addition of bitter melon puree by 50 percent, viscosity was found in the addition of bitter melon puree by 50 percent, the highest overrun value was found in the addition of bitter melon puree by 50 percent, and the highest melting power was found in the addition of bitter melon puree by 50 percent. The conclusion obtained from this study is that the addition of more bitter melon puree will increase levels of vitamin C, β-carotene levels, viscosity, overrun, and melting power.

Can grafting affect yield and water use efficiency of melon under different irrigation depths in a semi-arid zone?

Can grafting affect yield and water use efficiency of melon under different irrigation depths in a semi-arid zone?

Fundamental Scale of Evaluation of Productivity of Irrigated Gray-Meadow Soils which are Appointed for Growing Melon Crops

In the following article, the basic scale for assessing the fertility of irrigated gray-meadow soils planted with melons is based on the mechanical composition of the soil. The mechanical composition of the soil correlation coefficient between the yields of melons and gourds was 0.88 for watermelon, 0.89 for melon and 0.88 for pumpkin. Accordingly, light sandy soils for ground watermelon and squash were rated as productive with a score of 100 points, heavy sandy soils with a score of 85 points for watermelon and 75 points for pumpkin. For the melon crop, medium sandy soil was rated at 100 points, heavy sandy soil at 90 points, and light sandy soil at 75 points.

Effect of Drip Fertigation with Nitrogen on Yield and Nutritive Value of Melon Cultivated on a Very Light Soil

Most species of Cucurbitaceae respond favorably to irrigation, especially when combined with fertilizers. The effect of drip irrigation combined with nitrogen fertigation in melon grown on a very light soil in Central Poland, during 2013–2015, was evaluated. The field experimental design was a split-plot with four replications. Two factors were studied: (1) irrigation treatments applied in two combinations—drip irrigation + broadcast nitrogen fertilization (control), and drip irrigation + fertigation with nitrogen; (2) two cultivars—Melba and Seledyn. The total marketable yield of fruits, weight of a single fruit, and the concentration of dry matter, total sugars, monosaccharides, ascorbic acid, total carotenoids, and polyphenols were evaluated. Tested factors presented a significant effect both on the yield and nutritive value characteristics. Drip irrigation combined with nitrogen fertigation, comparing to the control, notably improved yields and nutritional value of fruits. Seledyn produced better yields than Melba. This study shows that on very light soil, with low water and nutrient retention capacity, melon should be drip-irrigated and nitrogen-fertigated to obtain the best cultivation results.

Impacts of cultivar and growing substrate on growth and yield of melon

Impacts of cultivar and growing substrate on growth and yield of melon

Temporal Variability in the Rhizosphere Bacterial and Fungal Community Structure in the Melon Crop Grown in a Closed Hydroponic System

Microbes can establish a pathogenetic or symbiotic relationship with plants in soil and aquatic ecosystems. Although change in bacterial and fungal community in soil and their interaction with plants have been widely studied, little is known about their community structure in hydroponic systems across plant growth stages under different nutrient treatments. This study used next-generation sequencing analysis to assess the temporal changes in melon rhizosphere bacterial and fungal community structure across six different nutrient treatments. We found significant changes in the microbial community composition (especially for bacteria) between growth stages (R = 0.25–0.63, p < 0.01) than nutrient treatments. Proteobacteria dominated the bacterial community at the phylum level across melon growth stages (59.8% ± 16.1%). The genera Chryseobacterium, Pseudomonas, and Massilia dominated the rhizosphere in the flowering and pollination stage, while Brevibacillius showed the highest relative abundance in the harvesting stage. However, the rhizosphere was dominated by uncultured fungal taxa, likely due to the application of fungicides (Ridomil MZ). Further, linear regression analysis revealed a weak influence of bacterial community structure on melon yield and quality, while fruit weight and quality moderately responded to Mg and K deficiency. Nevertheless, the relative abundance of bacterial genus Chryseobacterium in the vegetative stage showed a strong correlation with fruit weight (R2 = 0.75, p < 0.05), while genera Brevibacillus, Lysobacter, and Bosea in late growth stages strongly correlated with fruit sweetness. Overall, temporal variability in the microbial (especially bacterial) community structure exceeds the variability between nutrient treatments for the given range of nutrient gradient while having little influence on melon yield.

Pengaruh Macam dan Ketebalan Mulsa Organik Terhadap Populasi Gulma dan Hasil Melon (Cucumis melo L.)

The research to observe the effect of the kinds and thickness of organic mulch toward the population of weeds and melon yield was conducted in Wringin, Purwobinangun, Pakem, Sleman District of Yogyakarta, at February up to May 2004. The research site has the 500 m above sea level altitude and the Regosol soil type. The field experiment was arranged in a single factor Randomized Completely Block Design with three blocks as replications. The treatments of mulch kinds consisted of 8 levels which are: no mulch application, plastic mulch, straw mulch with 4 cm, 8 cm, and 12 cm thickness, bamboo leaves mulch with 4 cm, 8 cm, and 12 cm thickness. The effect of treatments on weeds population suppression, melon growth and yield were observed during the growth period. The result showed that the bamboo leaves mulch with 8 cm thickness and plastic mulch significantly suppressed weeds population until 67 days after planting in compared with the other treatments. Straw mulch and bamboo leaves mulch significantly increased the component of melon yield, but the kind and thickness of organic mulch was not significantly affected the growth and yield of melon.

Various planting media and boron concentrations supporting growth and yield of melon on drip irrigation hydroponic system

Planting media is an important component in hydroponic. Additional nutrient, boron, is expected able to support growth and increase fruit production of melon. This study aimed to determine the interaction between various planting media and the concentrations of boron as well as to get the right composition of planting media and boron on the growth and yield of melon. This research was conducted in a greenhouse in Cikeusik, Tasikmalaya. A split-plot design with three replications was applied to the experiment. The main plot was boron concentrations: 0 ppm, 0.35 ppm, 0.7 ppm, and 1.05 ppm while the subplots consisted of 100% rice husk, 100% cocopeat, and charcoal rice husk: cocopeat (50:50). The results showed no interaction between boron concentrations and planting media. Otherwise, boron concentration of 0.7 ppm affecting independently the traits, i.e., number of flowers, fruit weight, and fruit thickness. Planting media of 100% cocopeat affected leaf area parameter. Application of 0.7 ppm boron and cocopeat growing media, independently, increase the growth and production of melon plants on drip irrigation hydroponic system. Sufficient concentration applied in a proper planting media and the hydroponic system could lead to the production of melon.

Organic versus inorganic fertilizers: Response of soil properties and crop yield

<abstract> <p>The decrease in soil productivity and quality caused by the continuous and abusive use of mineral fertilizers makes necessary to adopt more sustainable agricultural soil management strategies that help to maintain soil edaphic fertility. In light of these considerations, we have evaluated the effect of organic vs. inorganic fertilization on soil microbial communities, soil quality, and crop yield in a melon crop. The following treatments were tested: i) aerobic sewage sludge from a conventional wastewater treatment plant (WWTP) using aerobic bacteria (SS); ii) aerobic sewage sludge from a WWTP using a bacteria-microalgae consortium (B); iii) N-P-K mineral fertilizer (M); iv) a treatment in which 50% of the N was contributed by SS and 50% by mineral fertilizer (M + SS); v) a treatment in which 50% of the N was contributed by B and 50% by mineral fertilizer (M + B); and vi) a no-fertilized control soil. Melon yield and fruit quality were determined in addition to several soil physical, chemical, biochemical and microbiological parameters. Organic fertilizers (SS and B) increased the percentage of soil water-stable aggregates (52 and 60% respectively) as well as the content of organic C (18 and 31%), water soluble C (21 and 41%), N (15 and 41%) and available P content (41 and 82%) compared to inorganic fertilization. They also stimulated bacterial and fungal abundance to a greater extent than mineral fertilizers (189 and 242% vs 85%, and 57 and 122% vs 29%, respectively), as well as soil respiration, and dehydrogenase, β-glucosidase, phosphatase, urease, and glycine aminopectidase activities. The analysis of principal components with parameters linked to soil quality clearly showed that organic fertilizers cause a greater improvement in soil characteristics and microbial community than mineral fertilizers. Results demonstrate that organic and combined fertilization could be used as substitutes for nitrogen mineral fertilizers in melon crop, since these treatments led to similar melon production and quality while improving soil characteristics and microbial population size and activity.</p> </abstract>

Effect of Planting Density by Cultivars on the Growth and Yield of Melons (Cucumis melo L.) in Hydroponics Using Coir Substrates

Effect of Planting Density by Cultivars on the Growth and Yield of Melons (Cucumis melo L.) in Hydroponics Using Coir Substrates

Efficiency of nitrogen and potassium application on phytotechnical parameters and yield of melon

Phytotechnical parameters, yield and fertilizer use efficiency are relevant to the rational management of fertigation, especially in cultivation of high technological level. Thus, the objective was to evaluate the influence and efficiency of nitrogen (N) and potassium (K) application on the phytotechnical parameters, yield and nutritional efficiency of yellow melon in a fertigation system. The experiment was conducted in the city of Bom Jesus-PI, Brazil, from January to April 2016, in a strip-block design with four replicates, and the treatments consisted of five N levels (0, 45, 90, 135 and 180 kg ha-1 in the form of urea) and five K levels (0, 60, 120, 180 and 240 kg ha-1 in the form of potassium chloride), applied through fertigation. Collar diameter, main branch length, leaf chlorophyll content, number of leaves, leaf area index, biomass accumulation, fruit yield, and N and K use efficiencies were evaluated. Applications of 180 kg ha-1 of N and 240 kg ha-1 of K, respectively, led to the highest growth of the melon, while maximum production was obtained with the use of 112.50 and 165 kg ha-1 of N and K, respectively. The efficiency of N and K use decreased with increasing levels.

Effects of water stress applied at various phenological stages on yield, quality, and water use efficiency of melon

In arid and semi-arid regions, plant responses to water deficits at different phenological stages should be investigated for efficient use of water resources and sustainable irrigation management. This study was conducted under the regional conditions in the Konya province with a semi-arid climate for two years (2016–17) to determine the effects of irrigation applied at different growth stages on yield and quality traits of melon (Cucumis melo L. cv. Dardanos). Thus, a total of eight different irrigation treatments were implemented at three different growth stages of melon (from planting to flowering (V), flowering to fruit swelling (F), and fruit swelling to harvesting (M)). These treatments were specified as single-stage irrigation (V, F, and M), two-stage irrigation (VF, VM, and FM), irrigation for the whole season (VFM–stress-free), and non-irrigated. The seasonal total water consumption varied between 129.7 and 418.5 mm in 2016 and between 161.8 and 428.6 mm in 2017. The greatest fruit yield (52.9 t/ha) was obtained from stress-free VFM treatment; however, significant decreases were observed in fruit yields for other treatments. When yield and quality traits were assessed together, principal component analysis (PCA) revealed that VF and FM treatments had similar values to VFM treatment. With regard to irrigation water productivity (IWP), there were no significant differences between VM and VFM treatments, and VM treatment provided about 47% water saving. On the other hand, significant decreases were observed in fruit yields of V, F, and M treatments, in which irrigation and the water stress were applied during only a single phenological stage and the other two periods, respectively. Since the yield response factor (ky) for the whole growing season of melon was greater than 1.0 (1.30), the melon was considered sensitive to water stress under semi-arid climatic conditions. In conclusion, two-stage irrigation treatments (VF, VM, and FM) could be applied in well-scheduled irrigation programs of melon for efficient use of water resources and sustainable irrigation management in arid and semi-arid regions.

Tomato and Melon Meloidogyne Resistant Rootstocks Improve Crop Yield but Melon Fruit Quality Is Influenced by the Cropping Season.

Four rotation sequences consisting of ungrafted tomato cv. Durinta – melon cv. Paloma or tomato grafted onto the resistant rootstock ‘Aligator’ – melon grafted onto the resistant Cucumis metuliferus accession BGV11135, and in reverse order, were conducted from 2015 to 2017 in a plastic greenhouse infested or not with Meloidogyne incognita to determine the plant tolerance (T), the minimum relative crop yield (m) and fruit quality. The relationship between M. incognita densities in soil at transplanting (Pi) of each crop and the crop yield was assessed and T and m were estimated by the Seinhorst’s damage model. In addition, the volume and the number of nuclei of single giant cells and the number of giant cells, its volume and the number of nuclei per feeding site in susceptible tomato and melon were compared to those in the resistant tomato and C. metuliferus 15 days after nematode inoculation in pot test. The relationship between the Pi and the relative crop yield fitted the Seinhorst’s damage model in both ungrafted and grafted tomato and melon, but not for all years and cropping seasons. The estimated T for ungrafted and grafted tomato did not differ but m was lower in the former (34%) than the latter (67%). Sodium concentration in fruits from ungrafted but not from grafted tomato increased with nematode densities in spring 2015 and 2016. The estimated ungrafted melon T did not differ from the grafted melon cultivated in spring, but it did when it was cultivated in summer. The relative crop yield of ungrafted melon was lower (2%) than the grafted cultivated in spring (62%) and summer (20%). Sodium concentration in melon fruits from ungrafted plants increased with nematode densities. No variations in fruit quality from grafted melon cultivated in spring were found, although less dry matter and soluble solid content at highest nematode densities were registered when it was cultivated in summer. Lower number of giant cells per feeding site was observed in both susceptible tomato germplasms compared to the resistant ones but they were more voluminous and held higher number of nuclei per giant cell and per feeding site.

Impact of Soil Water Quality on Yield, Qualities and Water Consumptive Use of Melon (Cucumis Melo L)

Indonesia has two seasons. These are wet season and dry season; in the dry season, water from rainfall decreases and demand for water as irrigation resources decrease. Soil water is expected to supply irrigation in the agriculture sector. Water quality at Universitas Padjadjaran can be affected by poor water disposal planning and the location of the surrounding industrial estate, animal farms, farm activities and domestic wastewater. Poor water quality can affect the quality and quantity of crops. Melon is commonly not needed much water as a consumptive use but needs water in whole life and usually applied irrigated, especially if growth in the greenhouse. Poorly applied water qualities of the melon can will impact the quality and quantity to decrease. Research on the impact of soil water quality on yield and quality and consumptive use of melon was conducted at the greenhouse located in Universitas Padjadjaran Campus, West Java Province, Indonesia, from July to November 2019. The research method is descriptive analysis, and melon is planted in containers called autopot and fertigation daily applied by control of autopot smart valve. The results show that TSS of soil water were 200.2 mg/al; TDS 300.2 mg/L; EC 0.75 mS/cm; pH 7,0 and turbidity is 4.75 NTU. The quality of melon shows that water 95.19%; Fat 0.88%; ash 0.57%; protein 1.37%; carbohydrate 1.99% vitamin C 6.91% and sweeteners is 9.4 Brix. In conclusion, that soil water meets requirements as resources irrigation to applied melon.

Genetic Mapping and Nucleotide Diversity of Two Powdery Mildew Resistance Loci in Melon (Cucumis melo).

Powdery mildew (PM) significantly and negatively affects the yield and quality of melon (Cucumis melo) worldwide. Race 2F is the predominant physiological race of the pathogen Podosphaera xanthii in many regions. We used accessions PMR 6 (P1; resistant to PM) and M1-7 (P2; susceptible to PM) to analyze the inheritance of resistance to PM (race 2F). The ratio between resistant and susceptible individuals fits a Mendelian segregation ratio of 13:3 in a total of 256 F2 individuals and 1:1 in BC1P2. The resistance to PM in PMR 6 was governed by two genes: a dominant (AA) gene with an epistatic effect and a recessive gene (bb). Only individuals with aaBB or aaBb genotypes were susceptible to PM. Two PM resistance loci, Pm2.1 and pm12.1, were mapped on chromosomes 2 and 12 by bulked segregant analysis and secondary mapping by quantitative trait loci analysis with 18 markers. A new marker-assisted selection system to identify melon genotypes resistant or susceptible to PM was developed and tested in 93 melon accessions. Nucleotide diversity (π) and fixation index (Fst) for the two PM resistance loci were estimated using resequencing data of 336 melons from three groups: C. melo subsp. agrestis, Cucumis melo subsp. melo, and the intermediate type. The lowest π was observed in C. melo ssp. agrestis, and the highest Fst value was between C. melo ssp. agrestis and C. melo ssp. melo. The findings provide a promising tool that can be used to accelerate breeding for durable resistance to PM.

Effect of no-tillage and tillage systems on melon (Cucumis melo L.) yield, nutrient uptake and microbial community structures in greenhouse soils

Abstract No-tillage (UT) and tillage (TL) influence melon (Cucumis melo L.) production. However, the mechanism of improving the soil quality under UT in melon production is still unavailable. In this study, we attempted to explore the effects of UT and TL treatments on soil fertility and the microbial abundance and diversity in planting melon under greenhouse condition. Soil properties were determined and the bacterial v4-v5 16S rRNA and the fungal internal transcribed spacer gene were pyrosequenced by extracting greenhouse soil DNA. Results showed that the two treatments had different effects on nutrient uptake in melon plants under facility conditions. Additional nitrogen (N) was absorbed in the leaves and fruit in UT treatment. However, the N content in the UT treatment was kept as similar to that of the TL treatment. The phosphorus (P) contents in melon plant leaves and fruits in the UT treatment were higher than those in the TL treatment. High potassium (K) contents were observed in fruits and melon stem under the UT and TL treatments, respectively. Soil pH, organic matter and the available N influenced the bacterial and fungal distributions. The total N, total P and total K in melon plants were correlated with the bacterial and fungal groups in facility soils. The UT treatment had a substantial effect on the microbial diversity in soils planted with melon. Our study provided insights into the response of soil fertility and microbial structures to UT and TL treatments under greenhouse soils, which may aid in managing greenhouse soil quality.

Effects of Planting Distance and Seed Rate on the Growth and Yield of Egusi Melon (Citrullus colocynthis)

Background: Egusi melon production is declining, even though the crop plays a significant role in the well-being of farmers. Few farmers that grow the crop do not allow adequate spacing and seed rate which compels the crop to produce flourishing vegetative parts without producing many fruits. The study was therefore, aimed at determining the effect of planting distance and seed rate on the growth and yield of egusi melon. Methods: A split-plot design which was replicated thrice was adopted to carry out the study during 2018 and 2019 planting seasons. Twenty-four plots were made and were randomly assigned to eight treatment groups with each replicating thrice. The egusi melon seeds were sown in four different seed rates of one seed/hole, two seeds/hole, three seeds/hole and four seeds/hole and four different spacing of 30cm × 50cm, 45cm × 70cm, 60cm × 60cm and 60cm × 90cm respectively. Analysis of variance was used to analyze the data collected and was tested at 0.05 level of probability. Result: The number of leaves/plant, branches/plant, flowers/plant, fruits/plant and fruit weight (g) were significantly higher in egusi melon planted at 60cm × 90cm. Furthermore, the parameters measured were significantly higher in egusi melon planted at 1 seed/hole.

A deep learning system for single and overall weight estimation of melons using unmanned aerial vehicle images

Generation of yield maps enables making agronomic decisions related to resource management and marketing, leading to improved production and breeding processes. Estimating melon yield production before harvest at single-melon resolution is a labor-intensive task, requiring a detailed account of accumulated yield and general yield distribution, as well as detailed measurements of melon size and location. This study presents an algorithmic pipeline for detection and yield estimation of melons from top-view color images acquired by a digital camera mounted on an unmanned aerial vehicle. The yield estimation provides both the number of melons and the weight of each melon. The system includes three main stages: melon detection, geometric feature extraction, and individual melon yield estimation. The melon-detection process was based on the RetinaNet deep convolutional neural network. Transfer learning was used for the training to detect small objects in high-resolution images successfully. The detection process achieved an average precision score of 0.92 with a F1 score of more than 0.9 in a variety of agricultural environments. For each detected melon, feature extraction was applied using the Chan–Vese active contour algorithm and principal component analysis ellipse-fitting method. A regression model that ties the ellipse features to the melon’s weight is presented. The modified (adjusted) RAdj2 value of the regression model was 0.94. The system results for estimating the weight of a single melon measured by the mean absolute percentage error index achieved 16%. The analysis revealed that this could be decreased to 12% error with more accurate geometrical feature extraction. Overall yield estimation derived by summing the weights of all melons in the field resulted in only a 3% underestimation of the actual total yield.

Translocation of photoassimilates in melon vines and fruits under salinity using 13C isotope

Both yield and quality of Cantaloupe melon in semi-arid regions are threatened by high levels of salinity in irrigation waters. Our study aimed to characterize the translocation of photoassimilates in melon plants cultivated under salinity condition, using carbon 13 (13CO2) isotopic enrichment. Plants of the melon hybrid ‘Zielo’ were cultivated and drip-irrigated with waters of electrical conductivity (ECw) of 0.5 and 3.5 dS m−1. Leaves were evaluated for concentrations of Na, Cl, and sucrose and their CO2 assimilation rate. Fruits were evaluated for their weight, yield, sucrose, and soluble solids. Salinity stress affected both assimilation and accumulation of sugars, decreased fruit number and size. The natural (before enrichment) and enriched 13C in leaves from three stem regions and fruits were evaluated in the two final weeks of the crop cycle. The isotopic enrichment was applied to leaves of the basal and apical regions of the primary stem and apical leaves of the secondary stem. Although Na and Cl accumulated in all leaves, accumulation was the highest in basal leaves, causing a significant reduction of net assimilation of CO2 in these leaves. Although salinity significantly reduced fruit numbers and weight, it did not affect fruit soluble solids. Under saline conditions, leaves had a greater isotopic preference for the fixation of 13C than 12C. Two weeks before fruit harvest, regardless of salinity, fruits were the preferential sinks for carbon originated from leaves from the basal and apical parts of the stem. During fruit harvest week, basal and apical leaves of plants irrigated with water of ECw =0.5 dS m−1 had little or no 13C contribution to the fruit, whereas leaves (mainly basal) of plants irrigated with ECw =3.5 dS m−1 continued to send photoassimilates to the fruit. Thus, saline stress reduced fruit size and number significantly and delayed carbon translocation to fruits, delaying fruit maturation. Results suggest that under saline stress, eliminating fertigation two weeks before fruit harvest to reduce fertilizer costs may not be beneficial to melon producers. However, fertigation can be stopped in the last week before harvest when using low-salinity water. Further studies are needed to determine if extending the crop cycle under salinity may compensate for delayed fruit maturation and increase fruit sugars.

Plant density due to intra-row spacing on growth, weed control, and yield of Golden melon

ABSTRACT Appropriate density of Golden melon (Cucumis melo L.) in the field is arrived at by correct spacing between, and within rows, a factor that can impact on weed incidence and crop yield. A field experiment was conducted at the Federal University of Agriculture, Abeokuta, in the tropical rainforest/savannah transition zone of southwestern Nigeria, to assess the effects of intra-row spacing on growth and yield of golden melon and determine the weed control ability. Treatments were plant densities of: 50,000, 25,000, 16,667, 12,500, or 10,000 plants∙ha−1 produced by establishing plants at 20, 40, 60, 80, or 100 cm intra-row with a constant inter-row spacing of 100 cm. Data were collected on number of leaves, vine length, number of branches, days to flowering, days to 50% flowering, number of fruits per plant, average fruit weight, total fruit yield, weed density, weed fresh weight, and weed dry matter content. More leaves, branches, and longer vines were obtained from plants grown at 10,000, 12,500, and 16,667 plants∙ha−1. Number of fruits per plant increased as plant density increased. Planting at 25,000 and 50,000 plants∙ha−1 produced smaller fruits compared to planting at 10,000 and 16,667 plants∙ha−1. Planting at 10,000 and 16,667 plants∙ha−1 produced more fruits per plant and had larger fruits compared to other plant densities. Planting golden melon at a population density of 25,000 or 50,000 plants∙ha−1 was efficient in controlling, and reducing, weed interference. Planting at a population of 25,000 plants∙ha−1 provides efficient weed control; a population of 16,666 plants∙ha−1 provides increased growth and yield of golden melon. Planting Golden melon at a population of 16,666 plants∙ha−1 (100 cm inter-row, 60 cm intra-row spacing) appears to be best to improve yield. Knowledge of the best plant density obtained through intra-row spacing can impact efficiency and cost of production of Golden melon.