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Impact of Soil-Applied Biopesticides on Yield and the Postharvest Quality of Strawberry Fruits in Southeast Texas

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20 March 2025

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21 March 2025

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Abstract
Production of organic strawberries in Texas is becoming more popular because consum-ers prefer locally grown berries and are willing to pay premium prices. However, local climatic conditions pose a high risk of insect problems and fungal diseases, and hence ef-fective pest and disease management strategies are needed. Developing effective and safe methods of producing organic strawberries is necessary for meeting local consumer demand. The objective of this study was to evaluate the impacts of selected commercially available soil-applied biopesticides on yield and the quality of Camino Real strawberries established using bare roots on plastic mulch covered-beds with drip irrigation. The ten biopesticide treatments were replicated three times in a completely randomized design. The berries used for this study were subsampled from harvests made in mid-April, late-April, and mid-May 2019. Yield, weight loss, biometrical characteristics, and physicochemical analyses such as pH, acidity, total soluble solids, sugars and organic acid contents, firmness, and instrumental color were determined after each harvest period of the fresh strawberries. Experimental data were analyzed using the PROC Mixed model procedure of SAS. The biopesticides showed no negative effects on yield and fruit quality and thus they could serve as alternatives to conventional products used.
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1. Introduction

Consumer awareness of the impact of fruit intake on overall health and well-being is continually increasing. Therefore, the consumption of berry fruits such as strawberries (Fragaria x ananassa) has been promoted for their significant health benefits such as antioxidant, anti-inflammatory, and anti-diabetic activities (Milosavljević et al., 2022; Afrin et al., 2016). Strawberry fruit is a valuable horticultural crop widely consumed due to its appearance (color and biometrical characteristics), firmness and chemical composition. These attributes determine crop value and consumer acceptance of the fruit (Ornelas-Paz et al., 2013). However, strawberry production exhibits enormous difficulties due to its susceptibility to pests and diseases. In the USA, the two top strawberry producers are California and Florida. However, strawberry production is increasing in Texas and some Mid-Southern states because of consumer interest in locally grown berries. The warm climate in the Mid-South also increases the risk of strawberry disease and insect pests (Samtani et al., 2019).
As a result, strawberry farmers often use conventional pesticides to protect crops from diseases (Botrytis cinerea, Oidium fragariae, and Mycospharella fragariae) and pests (Steneotarsonemus fragariae, Anthonomus rubi, and Tetranychus urticae) (Sójka et al., 2015). Thus, efficient protection is critical for the quality and yield of this commodity crop.
Conventional strawberry production has the potential for leaving pesticide residues on the fruits. However, organic cultivation approaches minimize the negative impact of pesticide residues and hence are increasingly becoming more popular. Organic products have a comparatively lower potential for leaving residues on fruits sold in the market (Wippich Andrade et al., 2016). Using conventional pesticides such as fungicides can modify the chemical composition of the fruits and contribute to the risk of the residue contamination of the strawberry fruits (Wysocki and Banaszkiewicz, 2014). This concern provides an opportunity for the use of biopesticides to control fruit diseases and pests instead of conventional pesticides.
According to the United States Environmental Protection Agency (EPA), biopesticides are usually inherently less toxic and effective in small quantities. Moreover, they often decompose rapidly which results in lower exposure thereby, avoiding the pollution problems caused by conventional pesticides. These biopesticides are derived from natural sources such as animals, plants, bacteria, and certain minerals (EPA, 2023). The rapid growth of organic farming is due to the consumer’s demand for healthier foods and government initiatives supporting the environmental sustainability of agricultural practices (Maggio et al., 2013).
Normally, high-quality strawberries are selected based on several attributes, including color, shape, size, appearance, firmness, and flavor (Birania et al., 2022). However, factors such as environmental conditions, agricultural practices, and harvest timing can significantly impact the quality of strawberry fruits (Prasad et al., 2022). In this study, we evaluated the impacts of selected commercially available biocontrol and organic products applied in a soil system on yield and the quality characteristics of Camino Real strawberries grown in Southwest Texas.

2. Results and Discussion

2.1. Strawberry Yields

The treatments used in this trial are found in Table 1. The effects of the soil-applied biopesticide treatments on strawberry yield varied. Application frequency resulted in a significant difference for Regalia (T8 vs T4) and Double Nickel (T9 vs. T5) in terms of marketable fruit numbers and weights (Table 2). Making three applications one at transplanting and two subsequently at 8-week intervals significantly increased (p < 0.05) fruit numbers and yield weights for Regalia and Double Nickel treated plants compared to the same treatments made in 6 applications, one at transplanting time followed by 5 additional treatments at 4-week intervals afterwards. Similarly, an increase of 36.7% and 49.6% was observed for fruit numbers and weights for Actinovate treatments for the same application frequencies (T6 vs T10), but the difference was not statistically significant (p > 0.05). The opposite was observed for Rootshield Plus treatments where the six-time application treatment (T3) yielded 42.3% and 56.4% more fruit numbers and weights respectively compared to the three-time application treatment (T2). Strawberry yield (fruit numbers and weights) for Regalia (T8), Double Nickel (T9) and Actinovate (T10) applied in 3
applications were statistically similar to the standard conventional treatment (Ridomil Gold + Abound FL), which can also be considered as a positive control. Yields for these treatments were also significantly different from the untreated untreated control (T1) as expected. However, the RootShield Plus treatments were mostly similar statistically to the untreated control. These results suggest that biopesticides applied at the right time and frequency have the potential to perform at similar levels like their conventional counterparts. These results are contrary to observations by Pruitt (2020), which indicated no clear yield advantages for Camino Real and Sweet Sensation using biopesticides.

2.2. Biometrical Characteristics

The fruit length and major diameter were not affected (p > 0.05) by the biopesticide treatments in the strawberries harvested in mid-April or mild-May (Table 3). However, an increase in fruit length was noted (42.1 ± 0.93 mm) in the T6 compared to the control (35.8 ± 0.93 mm) when the strawberries were harvested in late-April. In general, biopesticide treatments did not have a significant effect (p > 0.05) on the length and major diameter of strawberry fruit in each harvested period, except in late-April (Table 3).
The length and major diameter of strawberry fruit are not commonly reported in the literature. In our study, the length and major diameter of tested fruits were similar to those values reported by several authors. Basak et al. (2022) reported a fruit length of 41.0 ± 4.17 mm and a diameter of 31.1 ± 1.71 mm in strawberry (Fragaria x ananassa Duch.) fruits harvested three-quarters (75%) red. A range of 36.9 ± 1.4 mm – 38.8 ± 1.4 mm fruit length and 26.2 ± 1.1 mm – 29.5 ± 1.3 mm major diameter in ‘Albion’ strawberry cultivar during ripening were reported by Ornelas-Paz et al. (2013). Birania et al. (2022) reported length and major diameter (width) of 43.66 ± 3.53 mm and 31.81 ± 1.78 mm in medium size strawberries. On the other hand, Chaves et al. (2017) reported that the cv. Camino Real has a lower fruit diameter average of 24.8 ± 1.70 mm compared to the values observed in our study. Also, Muzzaffar et al. (2016) observed low average fruit length (26.77 ± 0.10 mm) and width (24.19 mm ± 0.01 mm) in fresh strawberries (cv. Chandler). Overall, the Camino Real strawberries collected in our trial exhibited good biometrical characteristics in all the biopesticide treatments harvested during any period.

2.3. Total Soluble Solid Content, pH, and Titratable Acidity

The soil-applied biopesticide treatments had a significant effect (p < 0.05) on the total solid soluble (TSS) content, pH, titratable acidity (TA), and TSS/TA ratio in the Camino Real strawberries harvested at different periods (Table 3 and Table 4). The T3 samples harvested in mid-April presented greater TSS (8.08 ± 0.214 °Brix) than the untreated control samples (UCtrl, T1). However, no significant differences (p > 0.05) were observed among the UCtrl, T2, T3, T4, T5, T6, T7 (positive control, +CTrl), T9, and T10 samples (Table 3).
The T2 samples (7.55± 0.115 °Brix) harvested in late-April exhibited the highest TSS as compared to the +CTrl samples. On the other hand, the T3 samples presented a lower TSS (6.04 ± 0.312 °Brix) in Camino Real strawberries harvested during mid-May when compared to the +CTrl and UCtrl samples (Table 4). Camargo et al. (2011) reported that the cultivar Camino Real produced fruits with higher TSS (7.96 °Brix) in a conventional system. In contrast, Chaves et al. (2017) and Zahid et al. (2022) indicated low TSS of 5.1 ± 0.40 and 4.93 ± 0.76 °Brix, respectively, in the Camino Real cultivar.
The TSS consists of polysaccharides and organic acids found in fruits, impacting their flavor and indicating ripeness (Al-Hilifi et al., 2024).
In comparison with the +Ctrl samples, lower pH was observed in the fruits of all treatments in the fruits harvested in mid-April, except in the T6 and T8 (Table 4). The T4 treatment exhibited the highest pH (3.83 ± 0.032) in the fruits harvested in late-April. In the Camino Real strawberries harvested during mid-May, no significant differences (p > 0.05) were noted in the pH among treatment samples and the +Ctrl samples (Table 5). Pelayo-Zaldívar et al. (2005) reported pH values of 3.6 ± 0.03, 3.7 ± 0.03, and 3.8 ± 0.03 in the strawberry cultivars Aroma, Diamante, and Selva, respectively, harvested in May. However, a higher pH (4.09 ± 0.14) has been reported in strawberry cv. Chandler (Zahid et al., 2022). The pH is an important indicator of fruit properties such as sourness and flavor (Schwieterman et al., 2014). The pH value increases as the fruit ripens and oxidizes over time (Al-Hilifi et al., 2024).
In this study, the ranges of the TA (% citric acid) were 0.65-0.79%, 0.58-0.88%, and 0.64-1.24% in Camino Real strawberries harvested in mid-April, late-April, and mid-May, respectively (Table 5). Camargo et al. (2011) determined the acidity of berries from Camino Real that was 0.94% in the conventional system. A percent of TA of 0.84 had been reported in the Chandler cultivar by Zahid et al. (2022). However, Pelayo-Zaldivar et al. (2005) reported TA values of 0.74, 0.87, and 075% in the cultivars Aroma, Diamante, and Selva, respectively, when the fruits were harvested in May. Depending on the cultivar and preharvest factors, TSS and TA in strawberries harvested at commercial ripeness varied from 5 to 12% and from 0.50 to 1.87%, respectively (Pelayo-Zaldívar et al., 2005). For an acceptable strawberry flavor, it is recommended to have a maximum of 0.8% TA and/or a minimum of 7% TSS (Pelayo et al., 2003). Overall, the Camino Real strawberries treated with the biopesticides, harvested during mid-April, late-April, or mid-May, exhibited acceptable flavor based on these recommended values of TA and TSS.
The TSS/TA ratio values ranged from 9.61-11.47 in Camino Real strawberries harvested mid-April (Table 4). The highest TSS/TA ratio was observed in T10 compared to the +Ctrl in fruits harvested mid-April. A lower TSS/TA ratio was observed in T2 (8.71 ± 0.385) compared to the +Ctrl in Camino Real strawberries harvested in late-April (Table 4). The results observed in this study were higher than those reported by others for Camino Real. Pinelli et al. (2011) and Chiomento et al. (2023) indicated TSS/TA ratio values of 8.4 ± 0.2 and 4.55 ± 1.04, respectively. The relationship between TSS and TA is crucial for assessing fruit quality. The flavor of the ripe strawberry is in part determined by the sugars and acids ratio (Pinelli et al., 2011; Liu et al., 2016). The TSS/TA ratio, as a measure of sweetness, is a good indicator of organoleptic evaluation for strawberries (Liu et al., 2016). Likewise, in this study, we observed an acceptable relationship between sugar and acidity, TSS/TA ratio based on Pelayo-Zaldívar et al., 2005.

2.4. Sugars and Organic Acids Contents in Strawberry

The soluble sugars, glucose, fructose, and sucrose were studied in Camino Real strawberry fruits. The soluble sugar contents, total sugars, sweetness indexes, and total sweetness indexes from the ten treatments are presented in Table 5 and Table 6. We found a significant difference (p < 0.05) on glucose and fructose contents in the harvested fruits when biopesticides were applied (Table 5). The highest glucose content was observed in T9 (1684 ± 52.87 mg/100 g) in the strawberries harvested in mid-April when compared to the +Ctrl or conventional pesticide. However, the highest fructose content was observed in T10 (2087 ± 78.78 mg/100 g) in strawberries harvested in mid-April.
No significant differences (p > 0.05) were observed in the glucose content in the fruits harvested during late-April when compared to the +Ctrl samples or conventional samples. Glucose concentrations were higher in T2 (2244 ± 66.30 mg/100 g) samples harvested in mid-May compared to +Ctrl samples (Table 5). Schwieterman et al. (2014) evaluated fresh strawberry (cv. Festival) harvested in winter and reported the contents of glucose, fructose, and sucrose were 1903, 2049, and 1218 mg/100 g in the early season 1 (week 2) and 1127, 1311, and 309 mg/100 g in the late season 1 (week 7). The authors noted that glucose, fructose, and sucrose represent the major soluble sugars present in strawberries (Schwieterman et al., 2014). The sucrose content in berries is lower than fructose and glucose contents (Okan et al., 2018). In this study, we observed the same trends of glucose, fructose, and sucrose levels in the berries as compared to the reported values (Okan et al., 2018; Schwieterman et al., 2014).
As shown in Table 6, total sugar (4472 ± 121.21 mg/100 g), sweetness index (7453 ± 210.90 mg/100 g), and total sweetness index (5127 ± 143.88 mg/100 g) were highest in T10 in Camino Real strawberries harvested in mid-April compared to the +Ctrl samples. In the Camino Real strawberries harvested in mid-May, no significant differences were noted in the total sugar, sweetness, and total sweetness indexes when compared to the +Ctrl samples. Total sugar contents of 5169 mg/100 g and 4490 mg/100 g have been reported in the cultivars Festival and Aromas, respectively (Schwieterman et al., 2014; Pelayo-Zaldívar et al., 2005). An average total sugar content of 5250 ± 80.00 mg/100 g was observed by Muzzaffar et al. (2016) in ripe strawberries (cv. Chandler).
One of the main parameters influencing the flavor of berries is the sugar content, which is considered an essential criterion to evaluate nutritive value and overall fruit quality. Sugar levels are affected by diverse factors including genetic factors, cultivation techniques, and preharvest conditions (Akšić et al., 2019). In general, the application of biopesticides in the soil did not adversely affect the soluble sugar or the total sugar contents of fresh strawberries in our experiments.
The results for organic acids contents (Table 7) demonstrate that the most abundant acid in Camino Real strawberries is citric acid which ranged from 0.58 ± 0.030 mg/100 g to 0.73 ± 0.030 mg/100 g in mid-April, 0.45 ± 0.017 mg/100 g to 0.69 ± 0.017 mg/100 g in late-April, and 0.57 ± 0.029 mg/100 g to 0.70 ± 0.029 mg/100 g in mid-May. The highest (p < 0.05) citric acid contents in our trial were observed in T10 (0.73 ± 0.030%) and T2 (0.65 ± 0.017%) in samples harvested during mid-April and mid-May, respectively. We also noted higher (p < 0.05) malic acid contents in T4 (0.14 ± 0.030%), T5 (0.14 ± 0.030%), T8 (0.15 ± 0.030%), T9 (0.16 ± 0.030%), and T10 (0.16 ± 0.030%) in samples harvested in mid-April. No effects (p > 0.05) were observed on the malic acid contents of the Camino Real strawberries harvested in mid-May comparing the biopesticide treatments and the +Ctrl treatment. (Table 7). Similar results for citric acid content were reported in Diamante (0.67 ± 0.03%) and Aromas (0.52 ± 0.03%) cultivars harvested in May by Pelayo-Zaldívar et al. (2005). However, these authors reported higher malic acid contents in Diamante (0.18 ± 0.02%) and Aromas (0.17 ± 0.02%) than those quantities observed in our study.

2.5. Firmness and Instrumental Color in Strawberry

Firmness is a major index for evaluating the quality of strawberry fruits and a desirable characteristic for consumers. Moreover, the fruit firmness is associated with resistance to transportation and storage.
In our study, we did not observe any negative impact on the firmness of Camino Real strawberries following biopesticide treatments compared to the +Ctrl treatment (Table 7). Statistically higher (p < 0.05) values of firmness were noted in T2 (3628 ± 201.65 g force), T3 (3391 ± 201.65 g force), and T4 (3514 ± 201.65 g force) in samples harvested in late-April compared to the +Ctrl samples.
The biopesticides treatments had a significant effect (p < 0.05) on the internal and external color parameters (Table 8 and Table 9). Compared to the +Ctrl samples, we observed a lower value of Chromai in T10 (38.51 ± 0.782) in samples harvested in late-April (Table 8). However, the lowest values of Huei were noted in T8 (52.31 ± 0.541) and T2 (55.92 ± 0.458) samples harvested in mid-April and mid-May, respectively, while the highest Huei value was observed in T5 (57.62 ± 0.344) in Camino Real strawberry samples harvested in late-April (Table 8).
For the surface or external color parameters, lower values of Lightnesse were found in T3 (21.98 ± 0.331) and T4 (21.79 ± 0.331) for Camino Real strawberries harvested in mid-April compared to the +Ctrl samples (Table 9). Slightly darker colors were also noted in T8 (19.83 ± 0.454) for Camino Real strawberries harvested in mid-May indicating that the fruits in these treatments developed a slightly darker color. We also noted the lower value of Chromae (17.32 ± 0.611) and the highest value of Huee (73.66 ± 0.607) in T5 strawberries harvested during mid-April (Table 9). In fruits harvested in mid-May, we observed lower Chromae values in T3 (19.02 ± 0.704) and T8 (18.76 ± 0.704) compared to the +Ctrl treatment (Table 9). We speculated that the effects observed for some of the biopesticide treatments could be associated with factors such as chemical composition (anthocyanins and sugar contents), harvest time, and application frequency. These results are different from those of Ornelas-Paz (2013) who reported higher values of surface (external) color parameters L* (50.4 ± 1.1), Chroma (31.7 ± 1.1), and Hue (45.8 ± 2.6) in organic Albion strawberry cultivar (harvested with 75% red). These authors observed low Hue values (18.2 ± 0.6) in strawberries harvested in dark red. The authors noted that this value fell into the reddest region of the chromaticity diagram, suggesting that the fruit in this stage was considerably rich in red pigments. Capocasa et al. (2008) also reported higher L* (32.9 ± 0.4) and Chroma (42.0 ± 0.6) values on the color surface in the Camarosa cultivar than those observed in our study. In addition, Pelayo-Zaldívar et al. (2005) reported high L* (33.2 ± 0.84) and Chroma (36.6 ± 1.05) values and low Hue (29.1 ± 1.13) values in the Aromas cultivar.
In general, the biocontrol and organic products in the soil did not adversely affect the internal and external color of Camino Real strawberry. The strawberry fruit color is an important attribute for consumer product acceptance and/or preferences.
Future research may include optimizing the application of biopesticides across various strawberry varieties and production systems. Additionally, evaluating the effects of these biopesticides on yield, quality, and nutritional values of postharvest strawberries will be essential for improving agricultural practices.

3. Materials and Methods

3.1. Chemical and Reagents

The biopesticides used in this study were obtained from various commercial sources. Phenolphthalein, ethanol, and sodium hydroxide (NaOH) were purchased from Sigma-Aldrich (St. Louis, MO, USA). Orion buffer solutions (pH 4 and 7) were purchased from Thermo Fisher Scientific (Pittsburgh, PA, USA). Biochemical kits to quantify sucrose/D-glucose/D-fructose, citric acid, and L-malic acid (CAT# 10-716-260-035, CAT# 10-139-076-035, and CAT# 10-139-068-035) were obtained from R-Biopharm (Darmstadt, Germany). All chemicals were of analytical reagent grade and all solutions were prepared with deionized water that was obtained by passing distilled water over a mixed bed of a cation-anion exchange.

3.2. Soil Characteristics and Climatic Conditions of Study Site

The strawberry experiment was conducted at the Prairie View A&M University Research Farm (Longitude 30.080400, Latitude -95.990930) from October 2018 to May 2019. The soil at the site is classified as sandy loam soil (Fine-loamy, siliceous, semiactive, hyperthermic Oxyaquic Paleudalfs). The soil properties at the beginning of the experiment are as follows: pH 7.1, EC 1149 umho/cm, nitrate-N 200 ppm, phosphorus 195 ppm, potassium 312 ppm, calcium 2,498 ppm, magnesium 174 ppm and sulfur 157 ppm. Climatic conditions during the growing season are summarized in Table 1. Monthly precipitation for the growing season ranged from 14.98 mm (in October 2018) to highs of 250 mm (in May 2019). Seventeen precipitation events occurred in February 2019 and was the highest during the growing season. On the other hand, the highest temperature, relative humidity, and wind speed during the growing season were all recorded in May 2019 (Table 10).

3.3. Planting Material and Experimental Design

The variety Camino Real was planted on October 19, 2018, using bare roots. Twenty (20) bare roots were planted 0.3 meters apart per plot on raised beds covered with black plastic mulch lined with drip tape for irrigation. The ten soil-applied biopesticides (Table 1) used were arranged in a completely randomized design with three replications per treatment. Timing of applications and rates used are also presented in Table 1. Water was used as the untreated control (UCtrl) to receive the same degree of wetness during pesticide application. Conventional pesticides (Ridomil Gold + Abound FL0) were used as a control positive (+Ctrl). The crop received approximately 2.54 cm of water including rainfall per week. Fertilizer application was based on soil test recommendations. Nutrient requirements were met through fertigation using water potassium nitrate (13-0-46). While weeds immediately around strawberry plants were pulled by hand, those between rows were managed through a tractor-driven rotary tiller.

3.4. Strawberry Harvesting and Sampling

The strawberry fruits were harvested by hand when at least 75% ripe, every three days in the morning hours. The photographs of strawberry plants and harvested fruits are shown in Figure 1 A and B. The harvested fruits were sorted into marketable and culled categories, then counted and weighed. Strawberries used for the quality analyses were subsampled from marketable fruits. The strawberry fruits used for this study were harvested on April 16 (mid-April), April 30 (late-April), and May 17 (mid-May) in 2019 and immediately transported to the laboratory while maintaining the cold chain (≤4 °C). The samples were visually inspected, and damaged strawberries were removed to ensure uniformity in color and size. Strawberry fruits (approximately 800 g of fruit) per treatment from each harvesting time were placed in refrigerated storage (4 °C) and subsampled (400 g) for fresh analysis within 1-3 days of receipt, except for the determination of biometrical characteristics, pH, titratable acidity (TA), total soluble solids (TSS), color (L*, a*, and b*), and firmness. Another set of subsampled strawberry fruits (400 g) were stored at –80 °C for later biochemical analysis such as sugars (glucose, fructose, and sucrose) and organic acids (citric and malic acids).

3.5. Determination of Biometrical Characteristics

Biometrical characteristics and visual shapes were immediately evaluated on 5 berry samples per treatment from each harvesting time. Fruits were washed and dried with paper towels, and the sepals were removed. Length and major diameter (mm) of the fruits were measured using a Digimatic caliper (Mitutoyo, Japan).

3.6. Determination of pH, Titratable Acidity, and Total Soluble Solids

To determine pH, TA, and TSS of samples, three replicates of strawberry juices were used in this study. Strawberry samples were homogenized in a blender (Model WF2211314, Waring Laboratory Science, Torrington, CT, USA) to obtain the fruit juice. The TSS was determined by a direct reading at room temperature (~22 °C) using a refractometer (Model 300010; Sper Scientific Ltd., Scottsdale, Arizona, USA). The refractometer was calibrated using deionized water and the results were reported in °Brix.
The TA in the fresh strawberry samples was determined according to the method of Perez Cayo et al. (2016). Briefly, the strawberry juice was centrifuged (Avanti J-E centrifuge, Beckman Coulter Inc., Indianapolis, IN, USA) at 12,000 rpm for 20 min. An aliquot (6 g) was diluted with 50 mL of deionized water. The mixture was titrated with standardized 0.1 N NaOH until the first color change, which signals the endpoint (at pH 8.1-8.3 endpoint), persisted for 30 s. Phenolphthalein (1% w/v in 95% ethanol) was used as an indicator. The results were reported in percentage of citric acid. The pH of the samples was measured using a benchtop pH meter (Accumet AE150, Fisher Scientific, USA) at 25 °C. The pH meter was calibrated with reference buffers (4.00 and 7.00; Orion buffer solutions; Thermo Fisher Scientific, Pittsburgh, PA, USA). The ratio of total soluble solids to titratable acidity (TSS/TA) was also calculated.

3.7. Determination of Color and Firmness

The firmness of randomly selected fruits was measured using a TA.XT.plus Texture Analyzer (Texture Technologies Corp., Hamilton, MA, USA) fitted with a 5 kg load cell and controlled by a computer. The whole strawberries were cut in half to improve how they packed into the 13-tine Multiple Puncture Rig (TA-65). Approximately 185 g of samples were used, and the test was conducted using the return to start test in Compression with the following settings: pre-test speed of 10 mm/s, test speed of 5 mm/s; and post-test speed 5 mm/s. The puncture rig tines traveled 90% through the container according to the procedure of Texture Technologies Corp (Texture Technologies Corp., 2018), and the results of firmness were reported in Newtons.
On each strawberry fruit, external (on opposing shoulder) and internal (adjacent to the central cavity) color parameters were determined by reflectance using a HunterLab colorimeter (ColorFlex Spectrophotometer, Hunter Associates Laboratory, Inc., Reston, VA). The colorimeter was calibrated using a white tile with D65/10° Illuminant/observer and 8 mm aperture size, to estimate strawberries color space: Lightness (L*), Chroma (Chroma = [(a*)2 + (b*)2]1/2) and Hue angle (Hue = tan1 [b*/a*]. The lightness value determines whether a sample is bright (high L*) or dark (low L*). The Chroma value indicates color saturation or intensity, and Hue value was determined as a color wheel, with red-purple color at 0°, yellow color at 90°, bluish-green color at 180°, and blue color at 270° (McGuire, 1992). The external and internal color of each sample were determined at room temperature (~22 °C) at each harvested period.

3.8. Quantification of Sugars and Organic Acids

The quantifications of sucrose/D-glucose/D-fructose, citric acid, and L-malic acid were determined according to the procedure of Schwieterman et al (2014) using biochemical kits (per manufacturer’s instructions). The absorbance of samples was measured at 365 nm using a Spectramax Max Plus spectrophotometer (Molecular Devices, Sunnyvale, CA, USA). The sugars and organic acids concentrations were reported as mg/100 g.
The Sweetness Index (SI) content and Total Sweetness Index (TSI) were calculated to determine the sweetness perception of fruits using the following formulas (Akšić et al., 2019):
SI=(1.00×[glucose])+(2.30×[fructose])+(1.35×[sucrose])
TSI=(1.00×[sucrose])+(0.76×[glucose])+1.50×[fructose])

3.9. Statistical Analysis

Experimental data were analyzed using the PROC Mixed model procedure of SAS (version 9.4, SAS Institute Inc., Cary, NC, USA). Analysis of variance (ANOVA) were performed with biopesticide treatment, harvest date, and biopesticide treatment x harvest date interaction. The data were analyzed separately by harvest day because of two-way interaction was significant (p ˂ 0.05). Thus, the effect of biopesticides treatments on physicochemical characteristics of strawberry fruit was carried out by one-way analysis of variance and Least Significant Difference (LSD) post hoc test was used (p ˂ 0.05). The physicochemical determinations in the samples were performed in triplicate.

4. Conclusions

The quality attributes of fruits such as strawberries are important not only for the producers, but also for the consumers. The effects of the soil-applied biopesticide treatments on strawberry yield varied. The results of strawberry yield suggest that if biopesticides are applied at the right time and frequency, they have the potential to perform at similar levels to their conventional counterparts. This is important because consumers are increasingly interested in safe produce with less chemical residues. More so, the premium price opportunities for organic producers make the use of biopesticides attractive. This study demonstrated that the selected commercially available soil-applied biopesticides showed no negative effects on yield and fruit quality and thus they could serve as alternatives to conventional products used. Further research and field trials are necessary to optimize the application of biopesticides in different varieties and agricultural systems and then evaluate their effects on yield and the quality and nutritional values of postharvest fresh strawberries.

Author Contributions

Conceptualization, P.A.Y.A. and M.T.N.G.; methodology, P.A.Y.A., M.T.N.G.; formal analysis, M.T.N.G., S.W., and E.O.; investigation, M.T.N.G.; resources, M.T.N.G. and P.A.Y.A.; statistical analysis, Y.J.; interpretation of data and writing—original draft preparation, M.T.N.G. and P.A.Y.A.; writing—review and editing, P.A.Y.A., M.T.N.G., R.A., A.M-G., and R.W.; visualization, E.O.; supervision, M.T.N.G. and P.A.Y.A.; project administration, P.A.Y.A.; funding acquisition, P.A.YA. and R.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Sustainable Agriculture Research and Education (SARE) Project Number LS16-275 and USDA-NIFA Evans-Allen funding to the Cooperative Agricultural Research Center of the College of Agriculture, Food and Natural Resources at Prairie View A&M University.

Data Availability Statement

The data presented in this study are available from the corresponding authors upon reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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Figure 1. Photographs of Camino Real strawberry plants (A) and harvested fruits (B).
Figure 1. Photographs of Camino Real strawberry plants (A) and harvested fruits (B).
Preprints 153061 g001
Table 1. Soil-applied biopesticides used, their actvie ingredients, application timing and rates.
Table 1. Soil-applied biopesticides used, their actvie ingredients, application timing and rates.
Treatment Biopesticide Active Ingredient Product Rate/ha
(via irrigation)
Application Timing
T1 (UCtrl) Untreated - - -
T2 RootShield Plus Trichoderma harzianum + T. virens 0.585 L/100 gallons ‡‡T + 22 wks + 16 wks
T3 RootShield Plus Trichoderma harzianum + T. virens 0.585 L/100 gallons T + 4 wks + 8 wks + 12 wks + 16 wks + 20 wks
T4 Regalia Extract of Reynoutria sachalinensis 5.844 L†† T+ 4 wks + 8 wks + 12 wks +
16 wks + 20 wks
T5 Double Nickel Bacillus amyloliquefaciens strain D747 2.337 L T+ 4 wks + 8 wks + 12 wks +
16 wks + 20 wks
T6 Actinovate Streptomycens lydicus WYEC 108 0.263 L T+ 4 wks + 8 wks + 12 wks +
16 wks + 20 wks
T7 (+Ctrl) Ridomil Gold + Abound FL Azoxystrobin + Mefenoxam 1.168 L T+ 8 wks + 16 wks
T8 Regalia Extract of Reynoutria sachalinensis 5.844 L T+ 8 wks + 16 wks
T9 Double Nickel Bacillus amyloliquefaciens strain D747 2.337 L T+ 8 wks + 16 wks
T10 Actinovate Streptomycens lydicus WYEC 108 0.263 L T+ 8 wks + 16 wks
UCtrl = Untreated Control; +Ctrl = Conventional or positive control; ††T = Time of transplanting; wks = weeks; ‡‡L = Liters.
Table 2. Marketable fruit yield for the soil-applied biopesticide treatments.
Table 2. Marketable fruit yield for the soil-applied biopesticide treatments.
Treatment Biopesticide Marketable Fruit Number/Plot Marketable Fruit Weight/Plot (g)
T1 (UCtrl) Untreated Control 87.00cd 1802.30bc
T2 RootShield Plus 82.00d 1602.50c
T3 RootShield Plus 116.70abcd 2506.10ab
T4 Regalia 97.00cd 2012.43bc
T5 Double Nickel 122.70abc 2564.40ab
T6 Actinovate 99.00bcd 1889.83bc
T7 (+Ctrl) Ridomil Gold + Abound FL 148.33a 3061.60a
T8 Regalia 142.70a 2916.53a
T9 Double Nickel 150.33a 3118.03a
T10 Actinovate 135.33ab 2827.03a
p-value 0.0050 0.0022
UCtrl = Untreated Control; +Ctrl = Conventional or positive control. Values represent the least squares means and their standard errors (SE). Means in the same column within each application treatment with different lowercase superscripts are significantly different (p ˂ 0.05).
Table 3. Effect of soil-applied biopesticide treatments on fruit size and total soluble solids of fresh strawberries.
Table 3. Effect of soil-applied biopesticide treatments on fruit size and total soluble solids of fresh strawberries.
Fruit Length (mm) Fruit Major Diameter (mm) Total Soluble Solids (°Brix)
Treatment Mid-April Late-April Mid-May Mid-April Late-April Mid-May Mid-April Late-April Mid-May
T1 (UCtrl) 41.6 35.8b 26.4 39.1 35.3 28.0 7.07bc 7.67a 8.50a
T2 40.8 36.4b 28.6 34.6 33.6 28.8 7.43ab 7.55a 7.50ab
T3 44.7 37.2b 32.0 38.3 33.5 33.0 8.08a 6.83b 6.04b
T4 40.6 39.1ab 32.2 32.9 34.9 31.8 7.60ab 6.83b 8.00a
T5 41.8 39.1ab 31.9 35.7 36.1 32.8 7.27abc 6.77b 7.70a
T6 43.2 42.1a 31.6 38.2 35.3 31.3 7.50ab 7.27ab 8.00a
T7 (+Ctrl) 41.7 38.3ab 31.2 35.8 34.7 30.1 7.47ab 6.80b 7.92a
T8 40.2 38.8ab 31.7 34.7 35.2 30.9 6.32c 6.93b 7.92a
T9 40.4 36.2b 32.0 36.0 34.9 31.7 7.87ab 6.93b 7.20ab
T10 41.5 36.6b 28.2 35.4 33.5 30.2 7.55ab 6.93b 8.30a
SE 1.40 0.93 1.38 1.44 1.11 1.28 0.214 0.115 0.312
p-value 0.410 0.0005 0.050 0.064 0.724 0.189 <0.0001 <0.0001 0.0004
UCtrl = Untreated Control; +Ctrl = Conventional or positive control. Values represent the least squares means and their standard errors (SE). Means in the same column within each application treatment with different lowercase superscripts are significantly different (p ˂ 0.05).
Table 4. Effect of soil-applied biopesticide treatments on pH, titratable acidity, and total soluble solids/titratable acidity ratio of fresh strawberries.
Table 4. Effect of soil-applied biopesticide treatments on pH, titratable acidity, and total soluble solids/titratable acidity ratio of fresh strawberries.
Treatment pH TA (%) TSS/TA
Mid-April Late-April Mid-May Mid-April Late-April Mid-May Mid-April Late-April Mid-May
T1 (UCtrl) 3.35cde 3.36d 3.79ab 0.65c 0.83a 0.88 10.95ab 9.34cd 9.89b
T2 3.37cd 3.74ab 3.55abc 0.67c 0.88a 0.80 11.15a 8.71d 9.85b
T3 3.39bc 3.75ab 3.69abc 0.79a 0.62b 1.10 10.21ab 11.03abc 9.59b
T4 3.33cde 3.83a 3.72abc 0.71b 0.65b 0.70 10.78ab 10.56bc 11.50a
T5 3.30de 3.68bc 3.85a 0.72abc 0.61b 0.64 10.16ab 11.11abc 12.07a
T6 3.50a 3.70ab 3.54abc 0.68c 0.58b 1.10 10.95ab 12.68a 12.35a
T7 (+Ctrl) 3.51a 3.66bc 3.53abc 0.77ab 0.59b 0.75 9.61b 11.52ab 10.72ab
T8 3.46ab 3.71ab 3.42bc 0.65c 0.60b 1.21 9.64b 11.58ab 10.04ab
T9 3.34cde 3.69abc 3.52abc 0.72ab 0.60b 0.80 11.00ab 11.72ab 8.95b
T10 3.27e 3.55bc 3.34c 0.66c 0.61b 1.24 11.47a 11.49ab 8.94b
SE 0.018 0.032 0.091 0.018 0.027 0.258 0.319 0.385 0.748
p-value <0.0001 <0.0001 0.004 <0.0001 <0.0001 0.686 0.001 <0.0001 0.014
UCtrl = Untreated Control; +Ctrl = Conventional or positive control. Values represent the least squares means and their standard errors (SE). TA = Titratable acidity (% as citric acid equivalent); TSS = Total soluble solids (Brix). Means in the same column within each application treatment with different lowercase superscripts are significantly different (p ˂ 0.05).
Table 5. Effect of soil-applied biopesticide treatments on sugar content of fresh strawberries.
Table 5. Effect of soil-applied biopesticide treatments on sugar content of fresh strawberries.
Treatment Glucose (mg/100 g) Fructose (mg/100 g) Sucrose (mg/100 g)
Mid-April Late-April Mid-May Mid-April Late-April Mid-May Mid-April Late-April Mid-May
T1 (UCtrl) 1261cd 1993ab 2380a 1367d 2280 2801a 611 985 492
T2 1297cd 1980ab 2244ab 1534cd 2249 2681ab 709 1034 561
T3 1522abc 2084a 1892c 1638bcd 2274 2347b 739 847 433
T4 1260cd 1887b 2099abc 1471d 2316 2384b 630 798 404
T5 1192d 1892b 2022bc 1388d 2410 2509ab 541 896 384
T6 1223d 1991ab 1964bc 1403d 2483 2562ab 807 896 418
T7 (+Ctrl) 1398bcd 2032ab 1898c 1602bcd 2368 2457ab 817 896 453
T8 1576ab 2099a 1949b 1877abc 2238 2462ab 532 847 423
T9 1684a 2037ab 1897c 1941ab 2295 2478ab 601 925 433
T10 1617ab 1975ab 1918b 2087a 2306 2464ab 768 817 394
SE 52.87 36.90 66.30 78.78 61.38 74.47 92.02 79.01 61.29
p-value <0.0001 0.008 0.0003 <0.0001 0.191 0.012 0.281 0.572 0.671
UCtrl = Untreated Control; +Ctrl = Conventional or positive control. Values represent the least squares means and their standard errors (SE). Means in the same column within each application treatment with different lowercase superscripts are significantly different (p ˂ 0.05).
Table 6. Effect of soil-applied biopesticide treatments on total sugar content of fresh strawberries.
Table 6. Effect of soil-applied biopesticide treatments on total sugar content of fresh strawberries.
Treatment Total Sugar (mg/100g) Sweetness Index (mg/100 g) Total Sweetness Index (mg/100g)
Mid-April Late-April Mid-May Mid-
April
Late-April Mid-May Mid-
April
Late-April Mid-May
T1 (UCtrl) 3239cdef 5257 5674a 5229def 8565 9488a 3619def 5919 6503a
T2 3540cdef 5263 5487ab 5782cdef 8548 9169ab 3995cdef 5912 6292ab
T3 3899abcd 5205 4673c 6288bcd 8458 7876c 4353bcd 5842 5392c
T4 3361cdef 5000 4886bc 5495cdef 8291 8127bc 3795def 5706 5574bc
T5 3121f 5198 4915bc 5115f 8645 8312abc 3529f 5949 5685abc
T6 3434cdef 5370 4945abc 5541cdef 8912 8421abc 3842cdef 6134 5754abc
T7 (+Ctrl) 3808bcde 5296 4808bc 6176bcde 8689 8161bc 4276bcde 5993 5581bc
T8 3984abc 5184 4835bc 6611abc 8390 8184bc 4545abc 5799 5598bc
T9 4226ab 5258 4809bc 6959ab 8567 8182bc 4792ab 5917 5592bc
T10 4472a 5098 4776bc 7453a 8382 8117bc 5127a 5777 5547bc
SE 121.21 87.03 146.72 210.90 168.96 246.25 143.88 114.24 168.64
p-value <0.0001 0.240 0.001 <0.0001 0.391 0.003 <0.0001 0.390 0.003
UCtrl = Untreated Control; +Ctrl = Conventional or positive control. Values represent the least squares means and their standard errors (SE). Means in the same column within each application treatment with different lowercase superscripts are significantly different (p ˂ 0.05).
Table 7. Effect of soil-applied biopesticide treatments on organic acids content and firmness of fresh strawberries.
Table 7. Effect of soil-applied biopesticide treatments on organic acids content and firmness of fresh strawberries.
Treatment Citric Acid (%) Malic Acid (%) Firmness (g force)
Mid-April Late-April Mid-May Mid-April Late-April Mid-May Mid-April Late-April Mid-May
T1 (UCtrl) 0.71a 0.69a 0.70 0.13a 0.13 0.15a 4450ab 3307abc 2832
T2 0.67a 0.65a 0.63 0.11b 0.13 0.15a 3556b 3628a 2302
T3 0.69a 0.62ab 0.61 0.11b 0.12 0.14ab 3958b 3391abc 1951
T4 0.59b 0.56bc 0.64 0.14a 0.13 0.13ab 4388ab 3514ab 2526
T5 0.60b 0.56bc 0.57 0.14a 0.12 0.13ab 5441a 2562bcd 2545
T6 0.58b 0.57bc 0.58 0.11b 0.12 0.13ab 3979b 2729abcd 2142
T7 (+Ctrl) 0.60b 0.52bcd 0.64 0.12b 0.13 0.13ab 4304ab 2263d 2249
T8 0.68a 0.45d 0.59 0.15a 0.11 0.12ab 3785b 2611bcd 2908
T9 0.71a 0.50cd 0.58 0.16a 0.11 0.11b 4408ab 2464cd 2637
T10 0.73a 0.53cd 0.60 0.16a 0.12 0.13ab 3895b 2705abcd 2882
SE 0.030 0.017 0.029 0.030 0.007 0.006 229.14 201.65 348.97
p-value 0.009 <0.0001 0.124 0.028 0.414 0.018 0.001 0.0005 0.550
UCtrl = Untreated Control; +Ctrl = Conventional or positive control. Values represent the least squares means and their standard errors (SE). Means in the same column within each application treatment with different lowercase superscripts are significantly different (p ˂ 0.05).
Table 8. Effect of soil-applied biopesticide treatments on internal color attributes of fresh strawberries.
Table 8. Effect of soil-applied biopesticide treatments on internal color attributes of fresh strawberries.
Treatment Lightnessi Chromai Huei
Mid-April Late-April Mid-May Mid-April Late-April Mid-May Mid-April Late-April Mid-May
T1 (UCtrl) 48.00ab 42.14a 38.37ab 37.68abc 39.86abc 33.25ab 54.71ab 55.99b 56.86cd
T2 45.24b 40.47ab 41.35a 39.60a 39.63abc 34.54ab 55.16a 56.55ab 55.92d
T3 45.84b 41.14ab 36.25b 38.12ab 41.32ab 36.22a 56.03a 56.48ab 57.00bcd
T4 45.34b 39.09abc 39.09ab 35.56bc 41.44ab 33.95ab 55.01a 56.63ab 58.86abc
T5 45.50b 36.36c 41.04a 36.72abc 41.06abc 34.44ab 55.82a 57.62a 57.18bcd
T6 45.20b 40.79ab 36.44b 35.62bc 37.66c 31.66b 56.93a 56.10ab 59.96a
T7 (+Ctrl) 46.01ab 37.43bc 38.45ab 36.69abc 42.12a 33.65ab 56.98a 55.73b 58.44abc
T8 50.55a 39.44abc 37.72ab 35.25bc 38.58abc 33.11ab 52.31b 56.09ab 58.99ab
T9 47.32ab 37.41bc 39.37ab 35.11c 38.74abc 34.24ab 55.34a 56.81ab 57.30bcd
T10 44.47b 40.46ab 39.87ab 36.99abc 38.51bc 32.16b 56.48a 57.16ab 57.16bcd
SE 1.022 0.881 0.850 0.642 0.782 0.833 0.541 0.344 0.458
p-value 0.0016 ˂0.0001 0.0001 ˂0.0001 ˂0.0002 0.0140 ˂0.0001 ˂0.0047 ˂0.0001
UCtrl = Untreated Control; +Ctrl = Conventional or positive control. Values represent the least squares means with their standard errors (SE). Means in the same column within each application treatment with different lowercase superscripts are significantly different (p ˂ 0.05). Lightnessi, L*, internal; Chromai = [(a*)2 + (b*)2]1/2, internal; Huei: hue angle = tan-1 [b*/a*], internal.
Table 9. Effect of soil-applied biopesticide treatments on external color attributes of fresh strawberries.
Table 9. Effect of soil-applied biopesticide treatments on external color attributes of fresh strawberries.
Treatment Lightnesse Chromae Huee
Mid-April Late-April Mid-May Mid-April Late-April Mid-May Mid-April Late-April Mid-May
T1 (UCtrl) 24.09a 21.56 21.37abc 19.66bcd 20.67a 20.06ab 69.90bc 68.01b 67.66
T2 23.85a 21.29 19.95b 18.94cd 17.51b 20.69ab 70.63b 71.12ab 65.55
T3 21.98c 21.82 19.93b 17.32d 18.51ab 19.02b 73.66a 71.30ab 69.17
T4 21.79c 21.51 23.31a 21.63abc 17.10b 20.48ab 67.78cd 72.96a 69.21
T5 22.69abc 21.47 22.20ab 23.19a 16.27b 21.64ab 66.82d 72.61a 68.39
T6 22.21bc 21.09 20.55bc 19.12cd 16.13b 20.03ab 70.33bc 74.11a 69.19
T7 (+Ctrl) 23.53ab 21.47 22.15ab 22.10ab 17.33b 22.79a 68.04bcd 71.19ab 67.54
T8 22.75abc 21.18 19.83c 20.51abc 16.20b 18.76b 69.34bcd 73.65a 69.70
T9 22.05bc 21.05 22.52ab 19.36bcd 16.44b 21.49ab 69.73bc 73.22a 67.65
T10 23.05abc 21.94 22.08ab 20.59abc 18.07ab 21.84ab 69.88bc 72.74a 69.78
SE 0.331 0.239 0.454 0.611 0.539 0.704 0.607 0.822 1.025
p-value ˂0.0001 0.125 ˂0.0001 ˂0.0001 ˂0.0001 0.0008 ˂0.0001 ˂0.0001 0.120
UCtrl = Untreated Control; +Ctrl = Conventional or positive control. Values represent the least squares means with their standard errors (SE). Means in the same column within each application treatment with different lowercase superscripts are significantly different (p ˂ 0.05). Lightnesse: L*, external; Chromae = [(a*)2 + (b*)2]1/2, external; Huee: Hue angle = tan-1 [b*/a*], external.
Table 10. Precipitation amounts, days of precipitation, temperature, relative humidity, and wind speed during the strawberry growing season from October 2018 to May 2019.
Table 10. Precipitation amounts, days of precipitation, temperature, relative humidity, and wind speed during the strawberry growing season from October 2018 to May 2019.
Date Precipitation
(mm)
Days of precipitation Temperature
Min ± Max (°C)
Relative humidity (%) Wind speed
(mph)
October 1-31, 2018 14.98 5 16.6 ± 26.6 47.87 5.71
November 1-30, 2018 61.21 10 8.1 ± 18.6 48.83 6.14
December 1-31, 2018 167.38 10 7.3 ± 17.2 48.90 6.81
January 1-31, 2019 128.77 15 4.8 ± 15.9 49.77 6.22
February 1-28, 2019 42.16 17 9.7 ± 18.1 49.89 6.86
March 1-31, 2019 14.22 6 10.1 ± 21.2 50.64 7.03
April 1-30, 2019 50.54 8 13.4 ± 25.3 49.60 7.33
May 1-31, 2019 250.44 10 19.3 ± 27.9 57.16 7.51
Total 729.7 81
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