Impaginato 227 Adv. Hort. Sci., 2022 36(3): 227­237 DOI: 10.36253/ahsc­12552 Economic viability and development of radish (Raphanus sativus L.) under different soil water tensions and mulching types P.A.B. Santos 1, L.G. Carvalho 1, F. Schwerz 1 (*), V.B.S. Baptista 2, C.A.U. Monti 3 1 Agricultural Engineering Department, Federal University of Lavras, Lavras, Brazil. 2 Engineering Department, Federal University of Lavras, Lavras, Brazil. 3 Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA. Key words: Growth traits, irrigation management, mulch system, production cost. Abstract: There is a lack of information on the production of irrigated radish associated with the use of mulching and on the economic viability of these pro­ duction technologies. The objective of this study was to evaluate the growth, yield, and economic viability of the radish crop under different soil water ten­ sions (SWT) and mulching types. The experiment was conducted in a green­ house. During the experiment, the following variables were evaluated: growth parameters, yield and economic viability. SWT at 7 kpa in the treatments with­ out mulching and at 12 kPa in the treatments with black plastic and black non­ woven resulted in higher growth parameters and yield. The leaf area index and the root diameter were the parameters that had a high and positive correlation with yield. Expenses with variable resources represent on average 75% of the total production cost. Therefore, the investment pays all resources applied in the activity and provides an economic profit. In this context, the higher radish yield with 37.5 t ha­1 provided the highest profitability of the evaluated treat­ ments, thus, for radish production, the recommendation is to use 12 kPa as an indicator of the moment for irrigation, associated with the use of black plastic. 1. Introduction Radish crop (Raphanus sativus L.) is a vegetable belonging to the Brassicaceae family grown worldwide, consumed mainly in salads, cooked, and even pickled (Chihoub et al., 2019). The radish has been gain­ ing prominence among vegetables due to its rusticity and its short cycle (Kim et al., 2014; Zhang et al., 2021), ideal for small and medium produc­ ers. However, in Brazil, its production and consumption are still small, and it can be better exploited by horticulturists, creating a market niche. In Brazil, according to the agricultural census (2006), around 10,500 tons of (*) Corresponding author: felipe.schwerz@ufla.br Citation: SANTOS P.A.B., CARVALHO L.G., SCHWERZ F., BAPTISTA V.B.S., MONTI C.A.U., 2022 ­ Economic viability and development of radish (Raphanus sativus L.) under different soil water tensions and mulching types. ­ Adv. Hort. Sci., 36(3): 227­237. Copyright: © 2022 Santos P.A.B., Carvalho L.G., Schwerz F., Baptista V.B.S., Monti C.A.U. This is an open access, peer reviewed article published by Firenze University Press (http://www.fupress.net/index.php/ahs/) and distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: All relevant data are within the paper and its Supporting Information files. Competing Interests: The authors declare no competing interests. Received for publication 10 January 2022 Accepted for publication 24 August 2022 AHS Advances in Horticultural Science https://doi.org/10.36253/ahsc-12552 http://www.fupress.net/index.php/ahs/ http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/ Adv. Hort. Sci., 2022 36(3): 227­237 228 radishes were produced, generating revenue of R$ 9 million (CONAB, 2010). The South and Southeast regions are the regions with more radish production, with 4,587 and 4,456 tons, respectively. In general, radish productivity in Brazil is between 11 and 30 t ha­1. Despite its rusticity, the high yield and profitability of the radish crop will only be achieved under opti­ mal conditions of soil moisture, air temperature, and fertilization (Gruver et al., 2016). Therefore, ade­ quate management techniques are necessary to achieve this optimal cultivation condition. Proper irrigation management is one of the ways to achieve maximum yield. The timing and amount of water applied are critical to the irrigation effectiveness. Excessive irrigation increases pumping costs, water waste, and crop disease susceptibly; nevertheless, deficit irrigation generally causes losses and reduces production quality (Contreras et al., 2017). Soil water tension (SWT) is one of the ways to determine the timing of irrigation and the volume of water to be applied. SWT is a fundamental variable to describe the water availability in the soil and the capacity for that water to be used by plants (Meyer and Green, 1981). According to Masseroni et al. (2016), the local measurement of SWT is one of the most effective options for irrigation management. In addition to adequate irrigation, mulching is also a technique used in the search for high yield. Soil mulch can decrease the evaporation rate, maintain the soil moisture, moderate the temperature, and form a barrier to weed growth, which can significant­ ly affect yield and water consumption (An et al., 2015; Gao et al., 2019). According to Carmichael et al. (2012), mulching significantly increased the radish yield. However, the acquisition, installation, and maintenance of the irrigation and mulching require a high investment, which represent important addi­ tional costs to production. Based on agricultural production costs, it is possi­ ble to evaluate the profitability and efficiency of the production system adopted by the rural producer and makes it possible to obtain information for deci­ sion­making on agricultural activities (Artuzo et al., 2018). The production cost is grouped into fixed costs, variable costs, operating costs, and total cost. Economic analysis compares the production cost with the gross revenue obtained from the sale of the product produced. Therefore, the success of the enterprise is related not only to the production cost, but also to the final product price and, mainly, to crop yield (Schwerz et al., 2017). Radish yield can be influenced by numerous fac­ tors, including the plant’s response to the production environment. Therefore, it is necessary to under­ stand the crop traits that contribute to high yield and their interrelationships. Knowledge of the relation­ ship between yield and crop growth variables obtained through correlation analysis helps in plant selection and develop high yielding varieties (Carmichael et al., 2012; Schwerz et al., 2017). Correlation coefficient (r) measures the degree (intensity) and nature (direction) of association between characters (Abd El­Mohsen et al., 2013). Given the above, the present study suggests that the combined use of water tension in the ideal soil with mulching can increase development, yield, and profitability. Besides, the gain in profitability with the use of these techniques can exceed the costs of implementation and generate high profits. Therefore, the aims of this study were to evaluate the growth variables and economic viability of radish production under different water tensions in the soil associated with types of mulching, under unheated plastic greenhouse. Also, to determine the relationship between morphological variables and the radish yield to help radish producers how to determine what growth parameters could be efficiently used to raises yield. 2. Materials and Methods Experimental site characteristics and cultural prac‐ tices The experiment was conducted during September and October of 2018, in greenhouses covered by low­ density polyethylene, at the experiment area of the Department of Water Resources and Sanitation of the Federal University of Lavras (UFLA). The experi­ ment area is located in the southern region of the state of Minas Gerais (21°14’ S, 45°00’W and 918,84m altitude). The climate in the region is classi­ fied as Cwa, according to the methodology proposed by Köppen (Dantas et al., 2007). Soil characteristics of the study area The soil used in this study was classified as a dis­ troferric red latosol (oxisol) with a clayey texture according (Santos et al., 2006). The chemical charac­ teristics of the soil were: pH = 7.0; K = 106.7 mg dm­3; P = 0.7 mg dm­3; Ca = 3.53 cmolc dm­3; Mg = 0.39 Santos et al. ‐ Agricultural traits of radish under different water requirements and mulching 229 cmolc dm­3; Al = 0.04 cmolc dm­3; H+Al = 1.54 cmol dm­3; M.O.= 2.11 dag/kg e V = 73.12. It was applied in the planting fertilization 1500 kg ha­1 de P2O5 in the form of single superphosphate, 145 kg ha­1 of urea (N), 320 kg ha­1 of potassium chloride (K), 620 kg ha­1 of limestone and 12,5 kg ha­1 of commercial product Solubor (17.5% boron ­ B). Irrigation management and experimental design The drip irrigation system was used, with self­ compensating emitters, spaced 0.3 m apart, and operating with a discharge of 4.3 L h­1. The SWT was determined utilizing tensiometers at two depths (0.15m and 0.25m) in each treatment. The soil water­ retention curve was adjusted according to the model proposed by Van Genuchten (1980). The soil mois­ ture of 0.453 L3 L­3 (5 kPa) was the corresponding to the field capacity (θcc), according to the model pro­ posed by Mello et al. (2002). Ɵ = 0.235 + (0.614 ­0.235) [1+(0.269 x ½Ym½2.064]0.515 R2 = 0.93 Where: θ is the soil moisture content (cm³ cm­3) and Ym is the soil water tension (kPa). The functioning of the irrigation system was calculated based on the gross water depth, according to (Pizarro Cabello, 1996), considering a 0.2 m effective root. A 90% water­application efficiency of the irrigation system was adopted and a water distribution­uniformity coefficient (DUC) of 98% was obtained. The experimental design was randomized com­ plete in a 4 x 3 factorial, replicated four times, total­ ing 12 treatments. The four SWT used were 7, 12, 20, and 50 kPa. The mulching materials used were black polyethylene film (black plastic); black polypropylene (black non­woven film); and no mulch (control) (Table 1). Experimental plots, data collection and analysis The transplant of Comet Radish seedlings occurred 6 days after the planting of the seeds in the experimental plots prepared, fertilized, and with mulching fixed. The plots were kept with moisture close to the field capacity (θcc) for 3 days, after that period, the irrigation differentiation level started. The plot received 24 plants with 0.2m between rows and 0.05m between plants. At harvest time, eight central plants were used for the analysis of leaf weight (LW), leaf number (LN), plant height (PH), root diameter (RD), root length (RL) and root weight (RW). The total yield (TY) was estimated considering the total weight of the roots within the useful area. Commercial Yield (CY) was estimated by subtracting the percentage of cracked and defective roots from TY. Also, the soil cover frac­ tion (SCF) and leaf area index (LAI) were measured. The SCF was estimated using the following equation: SCF = PPA/UA Where: SCF is the soil cover fraction, PPA is the plant projection area (PPA), and UA is the useful area of the plot. For the leaf area index the following equa­ tion was used: LAI = TLA/UA Where: LAI is the leaf area index, TLA is total leaf area of the plants, and UA is the useful area of the plants. Moments before harvest, photos of the plots were taken using a camera 1m away to obtain the PPA (Fig. 1B). After harvesting, the plant leaves were placed on a platform and were photographed at 0.6m away to obtain the TLA (Fig. 1D). PPA and LA were calculated using ImageJ Software (Fig. 1C, 1E), which is free to use. Table 1 ­ Treatments of soil water tension and mulching in the radish crop Treatment code SWT (kPa) Mulch material NM7 7 Control (no mulch) BP7 7 Black Plastic BNW7 7 Black non­woven film NM12 12 Control (no mulch) BP12 12 Black Plastic BNW12 12 Black non­woven film NM20 20 Control (no mulch) BP20 20 Black Plastic BNW20 20 Black non­woven film NM50 50 Control (no mulch) BP50 50 Black Plastic BNW50 50 Black non­woven film Fig. 1 ­ (A) ImageJ Software Interface; (B) Image of the useful area of the experimental plot; (C) Projection area calcula­ tion; (D) images of plant leaves and (E) Calculation of leaf area. Adv. Hort. Sci., 2022 36(3): 227­237 230 Fixed and variable cost The radish yield (t ha­1) and the costs per cultivat­ ed hectare were used for the cost analysis, in approx­ imate values of Brazilian Real (R$). In the estimate of commercial yield in the greenhouse, the useful plant­ ing area index of 57% was used (Araújo Neto et al., 2012) in addition to subtracting the percentage of defective roots. In this study, the methodology proposed by Reis (2002) was used to estimate production costs. The production cost is the integration of all inputs, labor, depreciation, and operational values in the produc­ tion process, including the alternative cost. Production cost were grouped into: fixed costs, vari­ able costs, and total cost. Fixed cost refers to depre­ ciation and alternative costs. The variable costs are those related to the crop costs during the cycle of the production process. The sum of fixed and variable costs represents the total cost. Depreciation is defined as the cost necessary to replace capital goods when rendered useless by physical or economic wear and tear. The linear method was used, considering 6 cycles per year, which corresponds to the average cultivation cycle of the radish cultivar used in addition to the rest and soil preparation period. The Depreciation (D) was cal­ culated by the following equation: D = (Vp ­ Vr)/Lu x P Where: D is depreciation (R$), Vp is the present value of the asset (R$), Vr is the residual or resale value (R$), Lu is the useful life or period of activity of the asset (years), and P is the period of analysis or pro­ ductive cycle (years). The interest rate of 7% per annum (p.a) was con­ sidered for the analysis of the alternative cost of fixed and variable resources allocated to production, Above the recommended by the Companhia Nacional de Abastecimento ­ CONAB (2010). The alternative fixed cost allocated to the radish cultivation was cal­ culated using the following equation: ACfixed = [(Lu ­ A) /Lu] x Vp x Ir x P Where: ACfixed is the alternative fixed cost (R$); A is the average duration of the asset use (years), consid­ ered 50% of Lu, and Ir is the interest rate (decimal). The alternative cost of the variable assets (ACvar) allo­ cated to the radish cultivation was calculated accord­ ing to equation: ACvar = Vexp/2 x Ir Where: ACvar is the alternative variable cost (R$), and Vexp is the financial investment for the acquisition of inputs and services for the crop production (R$). The fixed cost corresponding to the sum of the contributions of fixed factors in total product in each production cycle. The alternative cost of the produc­ tion factor was added to the depreciation in calculat­ ing the fixed cost. The following items were consid­ ered in this calculation. Land and Rural Land Tax: The value of the Rural Land Tax (RLT) was not considered, due to the exemption for properties below 30 ha. The land is not depreciated when proper soil management is adopted, and all chemical elements extracted by the plant are replaced through the practice of soil fertil­ ization. The value considered was the alternative cost, based on the land rental value. The rental value was R$ 131.35 per hectare and per month, as men­ tioned in the on the agricultural price indexes of the Department of Business Administration and Economics of UFLA (DAE/UFLA) and corrected by the General Price Index ­ Internal Availability (GPI ­ IA), for November 2018 amounts (R$). Mulching: The value of black polyethylene film (BP) and black non­woven film (BNW) were R$ 0.41 m­2 and R$ 0.67 m­2. Based on the area of mulching required in the experiment, approximately 72% of the greenhouse area. Expenditures on BP and BNW were R$ 3,028.1 ha­1 and R$ 4,834.2 ha­1, respective­ ly. A useful life of 1 years was considered. Seedling tray and greenhouse: The expenses with 2860 seedling tray were R$ 6,292.0 ha­1 (20% more to guarantee the quantity of seedlings necessary for transplantation) and the useful life of 3 years. Expenses for greenhouse structure and low­density polyethylene film coverage were R$ 380,000.00 ha­1 and R$ 25,525 ha­1, respectively, considering the use­ ful life of 20 years and the change of greenhouse cover every 2 years. Irrigation system: The quantities of material and the irrigation system cost is influenced by the unevenness degree of land, the water collection dis­ tance, and the equipment used. A project with the following characteristics was considered: 5 hp motor­ pump set, system automation set with starter switch, contactor and relay, programmable irrigation con­ troller with nine outlets, relief valve, air valves and vacuum, electric control valves (solenoids), under­ ground irrigation pipes DN 150 for main irrigation system, PVC piping (50 mm in diameter) connecting the main system to sectors, DN 16 mm low density polyethylene (LDPE) tube, tube connection fittings DN 16 mm, self­compensating dripper with a nominal Santos et al. ‐ Agricultural traits of radish under different water requirements and mulching 231 flow of 4.3 L h­1 and 2 disc filters with automatic backwash. The useful life considered was 20 years, except for LDPE pipes and connection fittings, which useful life considered was 3 years. The residual value was estimated at 20% of the acquisition value. The maintenance and operation of the system is equiva­ lent to 2% of the acquisition value. The expenses for the services and products acqui­ sition in each crop cycle, added to the alternative cost, was used in the variable cost calculation. The following items were considered in this calculation. Inputs: related to investment in the acquisition of substrate, seeds, chemical fertilizers, and pesticides. The value of each input was based on the report on agricultural inputs (CONAB, 2018) and the values pro­ vided by companies producing seeds and substrates. The amount of inputs needed were based on the quantity used in the experiment, according to the soil analysis and the recommendations for the crop. Labor: Expenses with labor refer to the implemen­ tation, conduction and harvesting of the crop, opera­ tion of machines and irrigation system, and post­har­ vest processing (cleaning, bagging, and transporta­ tion within the property). The unit value practiced was R$ 954.00 (minimum wage practiced in 2018) plus 51.56% as social charges, according to the methodology proposed by CONAB (2010). Energy: The energy cost was calculated according to the following equation: EC = VkWh x T x (736xPwr)/1000 x h Where: EC is the energy cost (R$); T is the total oper­ ating time of the irrigation system in each treatment (h); VkWh is the kWh price (R$); Pwr is the motor pump power (hp), and h is the motor pump efficiency (decimal). R$ 0.49 is the price per kWh charged by Minas Gerais Electric Power Company (MINISTÉRIO DE MINAS E ENERGIA, 2018). The cost for the volume of water used was not considered, the collection being considered public or for use by the producer. Administration and Post­harvest cost: Expenses with administrative labor and technical assistance were 6% of the variable costs (CONAB, 2010). Post­ harvest cost refers to expenses with product improvement, wooden boxes for packaging and transportation to the destination. The quantities used changed depending on the average yield of each treatment. Machines and implements: Referring to the investment in renting machines and implements in the preparation of the soil. The unit values consid­ ered were those mentioned in the Department of Business Administration and Economics of UFLA (DAE/UFLA) agricultural price indices. The quantities used for each resource were estimated according to the quantity used in conducting the experiment. Alternative cost: The real interest rate of 7% p.a. was considered for calculating the alternative cost of each item of the fixed and variable cost. Economic analysis The radish price adopted was R$ 1.20 kg­1, which is equivalent to the average price paid by the Food Acquisition Program (Programa de Aquisição de Alimentos ­ PAA), operated by the National Supply Company, and the prices practiced in the Supply Centers of Minas Gerais (Centrais de Abastecimento de Minas Gerais S.A. ­ CEASAMINAS) in October 2018. The operating cost considers the depreciation and inputs used, equivalent to the analysis period, with­ out the alternative cost. Average total operating cost (TOC) and average total cost (ATC) were calculated in unit terms in the economic analysis. The TOC, in R$ kg­1 of radish, is divided into average fixed operating cost (FOC), which is composed of the depreciation, and the average variable operating cost (VOC), which is composed of the disbursements during the analysis period (Reis, 2002). The economic analysis evaluates the TOC and the ATC in relation to the practiced price. This analysis can result in different conditions, and each result sug­ gests an interpretation. To carry out this interpreta­ tion of the economic analysis, the situations of eco­ nomic and operational analysis of the productive activity, described by Reis (2002), were considered. Thus, this study presents a diagnosis of the econom­ ic­financial behavior of irrigated radish cultivation, with information about the remuneration obtained and the allocated resources in comparison with the remuneration provided by investment alternatives (alternative cost). Statistical analysis Data were statistically analyzed using the Statistical Analysis System Learning Edition 8.0 (SAS, 2003) computer program. Data were initially exam­ ined for homogeneity of variance and then subjected to analysis of variance. Tukey test (p>0.05) was used to compare the difference between the treatments for the growth variables, root variables and radish yield. In order to analyze the correlation of plant growth, root growth, and yield variables, Pearson 232 Adv. Hort. Sci., 2022 36(3): 227­237 correlation was conducted, which was qualitatively evaluated for intensity using the following criteria, proposed by Callegari­Jacques (2003): null (0), low (0 to 0.3), regular (0.3 to 0.6), strong (0.6 to 0.9), very strong (0.9 to 1.0) and full (1.0) . 3. Results and Discussion Growth and yield of radish The results related to radish growth and yield can be seen in Table 2. For the variables leaf weight and plant height was possible to observe a similar behav­ ior, were mulched system resulted in higher values of leaf weight and plant height than those without mulch (Table 2). The variables leaf weight and plant height were significantly higher with black plastic mulching at 12 kPa, and treatment without mulching at 50 kPa resulted in the lowest growth of these parameters. The water quantity applied had a direct influence on leaf weight and plant height and increase in the water quantity resulted in plants with heavier leaves and taller plants. The BP7 and BP12 resulted in a higher leaf number, however there was no significant difference between treatments. The leaf area index and soil coverage fraction grew with the increase in the water quantity used and mulching treatments resulted in higher values (Table 2). The highest leaf area index and soil cover­ age fraction values were observed with BP7 and BP12, respectively. The lowest leaf area index and soil coverage fraction observed were with the NM50 treatment, and the NM50 differed significantly from the BP7 treatment. These results agree with previous findings by Carmichael et al. (2012), who reported an increase in radish growth parameters with increasing irrigation depth. These authors also demonstrated that the use of mulching can significantly influence the growth of the radish. Other authors have also observed similar results. Kang and Wan (2005) reported a maximum leaf area index at 15 kPa in the radish crop in 2002. Yaghi et al. (2013) reported that different types of mulching created a positive effect on the growth of cucumber plants. There was a significant difference between the treatments applied in the root diameter and root length parameters, however, in the root weight para­ meter, there was no significant difference between treatments. The highest values of root diameter, root length, and root weight were obtained with treat­ ments BP12, NM7 and BNW12, respectively (Table 3). The lowest values of root diameter, root length, and root weight were obtained from the NM20, NM50, and NM50 treatments in decreasing order. The increase in SWT resulted in a decrease in root growth parameters in treatments without mulching; howev­ er, a higher growth was observed at 12 kPa in treat­ ments with black plastic and black non­woven. For the total yield and commercial yield (Table 3) was possible to observe that treatments without mulching, maximum total yield and commercial yield were obtained at 7 kPa and the increase in SWT Table 2 ­ Effect of irrigation and mulching on growth variables of radish * Different letters within columns indicate significant difference by Tukey test at 5% probability level. Treatment Growth variables Leaf weight (g) Leaf number Plant height (cm) Leaf area index Soil coverage fraction NM7 25.3 abc 6.6 a 32.7 abc 5.78 ab 2.32 abc BP7 30.3 ab 7.2 a 35.5 ab 6.46 a 2.73 a BNW7 22.8 bc 7.0 a 33.2 ab 5.02 abc 2.40 abc NM12 22.4 bc 7.0 a 30.7 bc 4.49 abc 2.32 abc BP12 34.1 a 7.2 a 37.3 a 6.30 ab 2.55 ab BNW12 24.8 abc 6.8 a 33.5 ab 5.15 abc 2.19 abc NM20 22.4 bc 6.6 a 30.1 bc 4.11 bc 1.86 bc BP20 25.8 abc 6.8 a 34.4 ab 4.81 abc 2.34 abc BNW20 23.2 abc 6.4 a 32.9 ab 4.46 abc 2.28 abc NM50 14.9 c 6.1 a 27.0 c 3.13 c 1.74 c BP50 21.8 bc 6.8 a 32.0 abc 4.45 abc 2.12 abc BNW50 23.5 abc 6.4 a 33.9 ab 4.48 abc 1.93 bc CV 15.52 6.62 5.97 15.51 10.63 Santos et al. ‐ Agricultural traits of radish under different water requirements and mulching 233 decreased these variables. However, the behavior of total yield and commercial yield was different between treatments with black plastic and black non­ woven. The maximum total yield and commercial yield were reached at 12 kPa in these treatments. Therefore, keeping soil moisture close to the field capacity associated with mulching resulted in water stress suffered by the plant, due to the mulch’s char­ acteristics of maintaining high soil moisture. However, with the proper SWT, the use of mulching increased yield when compared to treatments with­ out mulching. Gao et al. (2019) and Li et al. (2018) also reported a significantly increase of yield of dif­ ferent crops with mulching. The BP12 treatment resulted in the highest total yield and commercial yield, 41.8 t ha­1, and 37.5 t ha­ 1, respectively (Table 3). This result highlight the importance of the use of irrigation and water man­ agement in radish crop. Kang and Wan (2005) report­ ed the total yield of 47.4 t ha­1 under irrigation man­ agement system. These yield differences observed in the literature can be explained by the radish cultivars used, and the difference in cultivation techniques adopted. Yield values above those obtained in the present study indicate a potential for yield growth that can be achieved by new techniques. Correlation and multiple linear regression analysis The yield of the radish root is usually determined by some characters of a morphological nature. Adequate knowledge of the relationship between yield and morphological characters is essential for the identification of selection criteria to be used to improve the yield of radish. Significant association was found between all the contributory characters studied and total and commercial yield (Table 4). The results of the person correlation presented in Table 4 showed that the leaf area index (plant growth para­ meter) and the root diameter (root growth parame­ ter) that had a very strong and positive correlation with total and commercial yield. The other characters also showed a positive correlation, however with lower r values. Therefore, the increase in leaf area index and root diameter implies a greater increase in yield when compared to the other characters. These results indicate that concentrating efforts on the selection of plants with high leaf area index and high­ er root diameter would be accompanied by high yield capacity in these conditions. The findings in this paper confirm previous studies by Ullah et al. (2010), which found a positive and sig­ nificant correlation between radish yield with plant height, root length, and root diameter. Khatri et al. (2019) found a positive relationship between yield and plant height, root length and root diameter, however leaf number showed highest significant pos­ itive correlation with total yield of radish. However, these papers showed that different morphological characters can have a greater relationship with yield under different cultivation conditions. Table 3 ­ Effect of irrigation and mulching on root growth variables and radish yield * Different letters within columns indicate significant difference by Tukey test at 5% probability level. Treatment Root variables Yield Rooot diameter (cm) Root length (cm) Root weight (g) Total yield (t ha­1) Commercial yield (t ha­1) NM7 42.9 ab 60.6 a 53.3 ab 37.6 ab 32.0 ab BP7 41.0 abc 60.1 a 46.8 abcde 33.0 abcde 30.4 abcd BNW7 39.0 abcde 63.6 a 47.7 abcde 33.7 abcde 30.8 abc NM12 37.8 bcde 59.2 a 40.4 bcde 28.5 bcde 25.9 bcd BP12 43.4 a 67.6 a 59.2 a 41.8 a 37.5 a BNW12 42.9 ab 60.4 a 49.1 abc 34.6 abc 31.9 ab NM20 35.1 de 56.5 a 31.2 de 22.0 de 20.0 cd BP20 40.9 abc 68.4 a 48.4 abcd 34.2 abcd 31.4 ab BNW20 40.3 abcd 64.8 a 40.3 bcde 28.5 bcde 25.6 bcd NM50 33.7 e 55.1 a 30.4 e 21.4 e 19.3 d BP50 37.1 cde 64.6 a 39.9 bcde 28.2 bcde 25.6 bcd BNW50 36.7 cde 61.9 a 35.9 cde 25.3 cde 22.8 bcd CV (%) 4.76 7.78 13.53 13.54 13.52 Adv. Hort. Sci., 2022 36(3): 227­237 234 Production cost economic analysis The percentage contribution of the fixed and vari­ able cost items that make up the total cost are shown in Table 5. The total fixed cost and the total variable cost represent, on average, 25% and 75% of the total cost, respectively. Greenhouse (structure and cover) has the largest percentage contribution in total fixed cost, and input followed by labor has the largest percentage contribution in total variable cost. A similar result was observed by Silva et al. (2007) in the cultivation of sunflower, however Boas et al. (2011) and Lima Junior et al. (2014) in the onion and carrot crop, respectively, observed a percentage con­ tribution of the total fixed cost in the total cost of less than 25%. These results can be explained by the non­use of greenhouse and mulching in the cultiva­ tion of these vegetables, reducing fixed costs. These authors also observed a greater percentage contribu­ tion of input and labor in total variable cost. Despite the depreciation of the greenhouse con­ stituting a high percentage in the total fixed cost (Table 5), its use decreases the susceptibility to weather and allows the planting of the crop through­ out the year. According to Araújo Neto et al. (2012), despite the high cost of greenhouses, its use gener­ ates higher yield, reduces the average total cost, and increases profitability. Inputs and Labor represent, on average, 47% of total production costs. Despite the inputs cost being difficult to reduce, family labor is recommended in the quest to reduce labor costs and Table 5 ­ Percentages of fixed and variable costs of radish production in different mulching types and soil water tension % Total cost NM7 BP7 NW7 NM12 BP12 NW12 NM20 BP20 NW20 NM50 BP50 NW50 Land 1.09 1.07 1.06 1.13 1.03 1.05 1.18 1.07 1.09 1.19 1.11 1.12 RLT 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Mulching 0.00 2.15 3.38 0.00 2.07 3.36 0.00 2.14 3.49 0.00 2.22 3.56 Seedling tray 1.62 1.60 1.58 1.69 1.54 1.57 1.75 1.60 1.63 1.76 1.66 1.66 Greenhouse structure 15.77 15.58 15.34 16.36 14.95 15.25 17.00 15.51 15.84 17.10 16.07 16.13 Greenhouse cover 4.77 4.71 4.64 4.95 4.52 4.61 5.14 4.69 4.79 5.17 4.86 4.88 Irrigation System 0.24 0.24 0.24 0.25 0.23 0.24 0.26 0.24 0.25 0.27 0.25 0.25 Dripper and LDPE pipes 1.19 1.18 1.16 1.23 1.13 1.15 1.28 1.17 1.20 1.29 1.21 1.22 TFC 24.61 26.47 27.32 25.53 25.40 27.17 26.54 26.35 28.22 26.69 27.29 28.73 Inputs 23.65 23.42 23.06 24.68 22.33 22.91 25.82 23.29 23.94 25.99 24.26 24.44 Labor 23.10 22.87 22.52 24.11 21.81 22.37 25.22 22.75 23.38 25.38 23.70 23.87 Energy 0.54 0.53 0.53 0.53 0.48 0.49 0.42 0.38 0.39 0.33 0.31 0.31 Post­harvest expenses 20.02 18.83 18.83 16.97 22.20 19.33 13.71 19.37 16.25 13.29 16.48 14.76 Administration Costs 4.15 4.05 4.01 4.10 4.12 4.02 4.04 4.06 3.95 4.03 4.00 3.92 Table 4 ­ Pearson correlation coefficients among yield and its related characters in radish LW= Leaf weight; LN= Leaf number; PH= Plant height; LAI= Leaf area index; SCF= Soil coverage fraction; RD= Root diameter; RL= Root length; TY= Total yield; CY= Commercial yield. **, *= Significant at 1 and 5 % probability levels, respectively. Plant growth Root growth Yield LW LN PH LAI SCF RD RL TY CY LW 1 LN 0.69 ** 1 PH 0.87 ** 0.63 ** 1 LAI 0.91 ** 0.72 ** 0.83 ** 1 SCF 0.61 ** 0.48 ** 0.66 ** 0.67 ** 1 RD 0.70 ** 0.44 * 0.66 ** 0.77 ** 0.56 ** 1 RL 0.56 ** 0.51 ** 0.69 ** 0.55 ** 0.35 * 0.51 ** 1 TY 0.74 ** 0.56 ** 0.71 ** 0.83 ** 0.62 ** 0.90 ** 0.66 ** 1 CY 0.75 ** 0.59 ** 0.73 ** 0.82 ** 0.64 ** 0.89 ** 0.68 ** 0.99 ** 1 Santos et al. ‐ Agricultural traits of radish under different water requirements and mulching 235 production costs. The NM7 treatment had the lowest percentage contribution of the total fixed cost and the highest percentage contribution of the total variable cost in the total cost, among the treatments applied (Table 5). The lack of mulching in this treatment contributed to the decrease in total fixed cost, also, NM7 resulted in high yield, increasing expenses with post­harvest and administrative costs. The BNW50 treatment showed the highest percentage contribution of the total fixed cost due to expenses with non­woven film and low yield, which reduces the total variable cost. Post­harvest expenses and administrative costs were high in BP12 treatment, due to high yield, resulting in a low percentage participation of total fixed cost in the total cost, despite the use of plastic mulching. In the simplified economic study, R$ 1.20 kg­1 was considered as the average price practiced in the peri­ od of October 2018, and the average total cost and total operating cost for radish crop varied according to the treatment applied (Table 6). The BP12 treat­ ment resulted in the lowest average total cost (R$ 0.71 kg­1) and total operating cost (R$ 0.60 kg­1). Although black plastic increased production costs, the mulching characteristics helped to increase yield and profitability, offsetting the expenses with the mulching. The BNW12 treatment resulted in the low­ est average total cost (R$ 0.81) and total operating cost (R$ 0.68) among black non­woven film treat­ ments, however they were lower than the values observed with the BP12 and NM7 treatment. Although the black non­woven film increased the yield, the expenses with mulching did not compen­ sate for the application. Therefore, that its use is viable, the prices practiced in the commercialization of non­woven film must be below the prices present­ ed in the present study. Between the treatments without mulching, keeping the humidity close to the field capacity (7 kPa) provided the lowest production cost. The NM50 and NM20 treatments resulted in the highest average total cost and total operating cost, due to low yield, therefore they are not recom­ mended. Although the application of plastic mulching results in an increase in yield and financial return, its use must be done in a correct and controlled man­ ner, to decrease the negative impact on the environ­ ment of plastic film pollution. In addition, accumula­ tion of plastic residue in soil over time may produce negative effects on crop production (Gao et al., 2019). Therefore, an effective cleaning is necessary after the useful life of mulching or the acquisition of biodegradable mulching film in order to develop sus­ tainable agriculture. All treatments applied exhibited average returns higher than average total cost. Therefore, the invest­ ment pays all resources applied in the activity and provides an economic profit, even in treatments with low yield. In this situation, investment is higher than market alternatives, and the trend in the medium and long term is for expansion and entry of new com­ panies into the activity, attracting competitive invest­ Table 6 ­ Average economic and operating costs of radish production, in R$ kg­1, at different types of mulching and soil water tension Average fixed cost Average variable cost Average total cost Average fix operating cost Average viarable operating cost Average total operating cost NM7 0.19 0.60 0.78 0.08 0.57 0.66 BP7 0.21 0.62 0.83 0.11 0.60 0.70 BNW7 0.22 0.61 0.83 0.11 0.59 0.70 NM12 0.23 0.69 0.92 0.10 0.67 0.77 BP12 0.17 0.53 0.71 0.09 0.51 0.60 BNW12 0.21 0.60 0.81 0.11 0.57 0.68 NM20 0.30 0.85 1.14 0.13 0.81 0.95 BP20 0.21 0.60 0.81 0.10 0.58 0.68 BNW20 0.26 0.70 0.96 0.14 0.67 0.81 NM50 0.31 0.87 1.18 0.14 0.84 0.98 BP50 0.25 0.70 0.95 0.13 0.67 0.80 BNW50 0.30 0.76 1.06 0.15 0.73 0.89 Adv. Hort. Sci., 2022 36(3): 227­237 236 ments. The analysis was carried out with the product price at R$ 1.20 kg­1, however the price may vary according to the market at the time of harvest. If the price is lower than practiced, a new analysis must be made. However, there are alternatives to increase sales such as the sale of deformed and cracked roots (difference between total yield and commercial yield), for companies specialized in purchasing these products and increasing yield with new techniques and with more productive cultivars. 4. Conclusions The different SWT levels and the use of mulching resulted in different growth and yield responses. The BP7 treatment resulted in the highest leaf area index and soil cover fraction. The BP12 treatment resulted in the highest leaf weight, plant height, leaf number, root diameter, root length, total yield and commer­ cial yield. In this context, this treatment was recom­ mended for the radish producers. 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