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Revista mexicana de ciencias agrícolas
Print version ISSN 2007-0934
Rev. Mex. Cienc. Agríc vol.15 n.3 Texcoco Apr./May. 2024 Epub Aug 25, 2024
https://doi.org/10.29312/remexca.v15i3.3659
Articles
Agro-morphological characterization in Aloe vera genotypes in two states of Mexico
1Colegio de Postgraduados-Campus Veracruz. Carretera Federal Xalapa-Veracruz km 88.5, M. F. Altamirano, Veracruz, México. CP. 91700. (lagunes.abimael@colpos.mx; parturo@colpos.mx.
2Tecnológico Nacional de México-Instituto Tecnológico Superior de Zongolica. Carretera a la Compañía km 4, s/n, Tepetlitlanapa. Zongolica, Veracruz, México. CP. 95005. (gregorio-18-18@live.com.mx).
3Cátedra CONACYT-Instituto Tecnológico de Veracruz. Unidad de Investigación y Desarrollo en Alimentos. (aandacos@gmail.com).
In the last decade, the pharmaceutical industry has shown great interest in the cultivation of aloe vera [Aloe vera (L.) Burm. F.]. In Mexico, it is grown in different states and agroecological conditions. This study aimed to characterize in situ the agro-morphological characteristics of aloe vera at two sites in the states of Puebla and Veracruz, Mexico. In the 2019 agricultural cycle, two-year-old aloe vera plants were collected in both agroecological regions during both the dry and rainy seasons. The agro-morphological variables recorded were: leaf length, width, contour, thickness and weight, useful leaf weight, residue weight, gel weight, and skin weight. The edaphic variables analyzed were: pH, electrical conductivity, organic matter, texture, bulk density, total nitrogen, phosphorus, and potassium. In addition, the altitude and average temperature and precipitation of each site were recorded. The variables were analyzed through an analysis of variance, principal components and Pearson’s correlation using the Rstudio program and the Statistical Analysis System. Significantly higher values (p≤ 0.05) were found in 60% of the agro-morphological variables of materials 1P, 2P, and 2V compared to 1V. According to the principal component analysis, the first two principal components accounted for 98.22% of the total morphological variability in the materials evaluated by site. There was a correlation between one geophysical variable, two climatic variables, two edaphic variables and morphological variables, except for leaf width. It is concluded that there is a significant relationship between the agro-morphological characteristics of aloe vera and the agroecological conditions of the site.
Keywords: agroecosystems; aloe vera; drought; agroecological zones
En la última década, la industria farmacéutica ha mostrado gran interés en el cultivo de sábila (Aloe vera (L.) Burm. F.). En México, se cultiva en diferentes estados y condiciones agroecológicas. El objetivo fue caracterizar in situ las características agro-morfológicas de sábila, en dos sitios en los estados de Puebla y Veracruz, México. En el ciclo agrícola 2019, se colectaron plantas de sábila, de dos años, en ambas regiones agroecológicas tanto en época de sequía y de lluvia. Las variables agro-morfológicas registradas fueron: largo, ancho, contorno, espesor, peso de hoja, peso de hoja útil, peso de residuos, peso del gel y peso de piel. Las variables edáficas analizadas fueron: pH, conductividad eléctrica, materia orgánica, textura, densidad aparente, nitrógeno total, fósforo y potasio. Además, se registró la altitud, la temperatura y precipitación medias de cada sitio. Las variables fueron analizadas a través de análisis de varianza, componentes principales y correlación de Pearson empleando el programa Rstudio y Statistical Analysis System. Se encontraron valores significativamente (p≤ 0.05) mayores en el 60% de las variables agro-morfológicas de los materiales 1P, 2P y 2V con respecto al 1V. De acuerdo con el análisis de componentes principales, los dos primeros componentes principales, explicaron el 98. 22% de la variabilidad morfológica total en los materiales evaluados por sitio. Existió correlación entre una variable geofísica, dos climáticas, dos edáficas y morfológicas, excepto ancho de hoja. Se concluye que existe una relación significativa entre las características agro-morfológicas de la sábila y las condiciones agroecológicas del sitio.
Palabras clave: agroecosistemas; sábila; sequía; zonas agroecológicas
Introduction
Aloe vera [Aloe vera (L.) Burm. F.] is a succulent plant that is grown in countries with semiarid climates; it belongs to the family Asphodelaceae (Liliaceae) (Surjushe et al., 2008) and thrives preferentially in dry climates (Bs), between 18 and 40 °C of temperature. In general, the A. vera plant grows in any type of soil with a high content of organic matter and good drainage, it does not resist low temperatures below 18 °C or very high solar radiation (Pedroza and Gómez, 2006).
Mexico ranks fourth in the world among the main producing countries of A. vera. At the national level, Tamaulipas ranks first with 4 044.7 ha, followed by Veracruz with 700 ha, and Puebla with 170 ha. In Veracruz, A. vera is grown under rainfed conditions, while in Puebla under irrigated and rainfed conditions (SIAP, 2017).
Several studies with A. vera show that edaphoclimatic and geographical conditions affect its development and growth (Flück, 1995; Saks and Ish-shalom-Gordon 1995; Páez et al., 2000; Tawfik et al., 2001; Acosta, 2003; Franco-Salazar et al., 2012).
Research such as that of Kumar et al. (2019) determined the morphological and biochemical diversity in 74 accessions of A. vera from the arid zone of India, with precipitation intervals of 100 to 400 mm, and found that morphological and biochemical characteristics are relevant descriptors to differentiate the genetic diversity of A. vera germplasm to be used in genetic improvement programs.
Since the agro-morphological variability present in the areas of highest production of A. vera in Mexico has not been systematized, the present study aimed to characterize in situ the agro-morphological characteristics of four genotypes of A. vera in the different sites in the states of Puebla and Veracruz, Mexico.
Materials and methods
The climatic and geographical conditions of the sites where the evaluated A. vera materials were collected were: site 1P (18° 28 ́ 47.8” north latitude, 98° 35’ 24.0” west longitude, altitude 1 096 m, climate AW0, precipitation 827 mm, and temperature 16.9 °C); site 2P (18° 26’ 18.1” north latitude, 98° 39’ 40.6” west longitude, altitude 1 102 m, climate AW0, precipitation 827 mm, and temperature 16.9 °C); site 1V and site 2V (19° 18’ 30.1” north latitude, 96° 28’ 52.5” west longitude, altitude 136 masl, climate AW1, precipitation 1 516 mm, and temperature 25.4 °C) (García, 2004).
The biological material corresponded to randomly selected commercial plantations of A. vera, considering the type of agronomic management. In 2019, 36 two-year-old plants were collected for each site and transported to the Agro-industrial Processes Pilot Plant of the College of Postgraduates, Veracruz Campus to carry out handling, cleaning, disinfection, and measurement operations. To record morphological variables and gel content, mature leaves of each plant were selected.
The agro-morphological variables recorded were: leaf length (LeLen, in Spanish LarHo ), width (LeWid, in Spanish AncHo) and contour (LeCon, in Spanish ConHo), with a tape measure (1 ±0.1 cm) (Hoechstmass®; Germany). The following was weighted: whole leaf (LeafW, in Spanish Phoja), useful leaf (ULeafW, in Spanish PhojaU), which corresponds to the part of the leaf used by agribusiness, gel weight (GelW, in Spanish Pgel), residue weight (LereW, in Spanish PreHo), stem weight, and root weight.
The weight (g) was obtained using an ES-3000H balance with a precision of 0.01 g (JD3000®; USA). Leaf thickness (LeThi, in Spanish EspHo) was measured with a digital vernier (0.1 mm) (Mitutoyo®; Kawasaki, Japan). The experimental design was completely randomized, using 36 experimental units (aloe vera plants) for each site.
The soil analysis was determined with the NOM-SEMARNAT-2000 standard. The AS-02 method was used for pH; the AS-16 for electrical conductivity (EC); organic matter (orM) using Walkley and Black’s AS-07 method. For bulk density (Bd), the formula used was:
(equation 1).
Where: D= the density of the soil (g cm-3); M= mass (g); and V= the occupied volume (cm3). Total nitrogen (N) was determined by the AS-25 method by digestion. Phosphorus (P) and potassium (K) were determined by the Grow Master method for nutrient analysis in agriculture.
With the data obtained, an analysis of variance (Anova) was performed to detect significant differences in the morphological variables among the materials of A. vera and the means were compared using Tukey’s test (p≤ 0.05). In addition, a principal component analysis (PCA) was performed based on the correlation matrix of the averages of the agro-morphological variables, using the PRINCOMP procedure of the Statistical Analysis System, and the distribution of aloe vera materials was visualized in a Biplot graph (Gabriel, 1971).
Edaphic variables were analyzed in duplicate. Additionally, Pearson’s correlation analysis was performed to determine the relationship between agro-morphological and agroecological variables, such as altitude (ALT), mean temperature (TEMP), and mean precipitation (PREC), the latter two corresponding to the last two years. Statistical analyses were analyzed using Rstudio (version 3.6.1) and SAS® V.9.0, NTSYSpc® V.2.21 software (Rohlf, 2009).
Results and discussion
Agro-morphological characteristics
Table 1 shows the mean and standard deviation of the agro-morphological variables of the A. vera genotypes studied. Genotypes 1P, 2P, and 2V had the highest values (>60 cm) in LeLen, in contrast to 1V (37.4 cm). For the LeWid variable, it was found that genotype 1P was the best (13 cm, p≤ 0.05), compared to 2V with 8.6 cm. In the case of LeCon, no statistical difference was found between genotypes 1P and 2P, obtaining better values than 1V.
Variable | Puebla | Veracruz | |||
---|---|---|---|---|---|
1P | 2P | 1V | 2V | ||
LeLen (cm) | 63.9 ±7.5a | 64.8 ±3.8a | 37.4 ±14.3b | 67.2 ±5.5a | |
LeWid (cm) | 13 ±17.5a | 10 ±1ab | 6.1 ±1ab | 8.6 ±0.7b | |
LeCon (cm) | 21.2 ±1.8a | 21.9 ±1.1a | 13.7 ±2.1c | 19.7 ±1.6b | |
LeThi (cm) | 2.3 ±0.5ab | 2.1 ±0.5b | 1.5 ±0.5c | 2.4 ±0.1a | |
LeafW (g) | 609.5 ±193.4a | 574.3 ±95.9a | 205.4 ±70.1b | 617.3 ±71.5a | |
ULeafW (g) | 509 ±179.9a | 476.9 ±108.9a | 166.7 ±59.1b | 472.8 ±68.1a | |
LereW (g) | 349.4 ±115.2a | 330.3 ±69.4a | 129.2 ±50b | 351 ±63.2a | |
GelW (g) | 260 ±86.3a | 244 ±38.6a | 76.2 ±36.7b | 266.3 ±82a | |
Stem (g) | 658.6 ±140.6a | 625 ±60.1a | 530 ±73.8b | 454.3 ±198.6b | |
Root (g) | 556.4± 163a | 572 ±201.2a | 416.6 ±166.5b | 312.3 ±95c |
Average value of thirty-six mature leaves ± standard deviation. Means with equal letters in rows are not statistically different (Tukey, p≤ 0.05). The acronyms of the variables are described in materials and methods.
The highest value of LeThi was obtained by genotype 2V, with 2.4 cm. Materials 1P, 2P, and 2V had higher means (p≤ 0.05) in LeafW, ULeafW, LereW, GelW, and stem weight. Alagukannan and Ganesh (2006) evaluated the morphological variables of A. vera plants collected in different soil and climatic conditions in India and found values similar to the present work, with values (minimum and maximum) of LeLen between 40.8 to 63.1 cm, 4.4 to 10.9 cm of LeWid, 1.5 to 2.7 cm of LeThi, 187.7 to 434.3 g of LeafW, and 112.6 to 282.5 g of GelW.
Authors such as Kumar et al. (2019) obtained a range of variation between 30 to 57.5 cm in LeLen, 3 to 9.8 cm in LeWid, and 9.2 to 17.3 cm in LeThi, in A. vera plants collected only in the arid zone of India, where rainfall conditions from 100 to 400 mm prevail. The values reported by the authors cited above are similar to the values obtained in the present study. Some differences may be due to the availability of water in the different producing areas or to the genetic component.
The first three principal components (PC) accounted for 100% of the total agro-morphological variation among the genotypes studied (Table 2). The characteristics associated with PC1 were LeLen, LeWid, LeCon, LeThi, LeafW, ULeafW, LereW, and GelW, while stem and root weight were related to PC2.
Variable | PC1 | PC2 | PC3 |
---|---|---|---|
LeLen (cm) | 0.97 | 0.22 | 0.1 |
LeWid (cm) | 0.85 | -0.4 | -0.31 |
LeCon (cm) | 0.97 | -0.09 | 0.18 |
LeThi (cm) | 0.92 | 0.36 | -0.09 |
LeafW (g) | 0.98 | 0.17 | 0.01 |
ULeafW (g) | 0.99 | 0.05 | 0.01 |
LereW (g) | 0.98 | 0.16 | 0.01 |
GelW (g) | 0.98 | 0.19 | 0 |
Stem weight (g) | 0.38 | -0.92 | -0.04 |
Root weight (g) | 0.36 | -0.91 | 0.15 |
Eigenvalue | 7.67 | 2.15 | 0.17 |
Explained variation (%) | 76.71 | 21.51 | 1.77 |
Accumulated variation (%) | 76.71 | 98.22 | 100 |
Based on the quantitative variables of the plants, aloe vera genotypes 1P, 2P, and 2V were dispersed in PC1 as they showed higher LeThi, LeLen, LeafW, LeCon, LeWid, LereW, and GelW, with values of 2.3 cm, 65.3 cm, 486.2 g, 20.9 cm, 10.5 cm, 343.5 g, and 256.8 g, respectively. In PC2 were materials 1V, 1P, and 2P as they had greater stem and root weights (604.5 g and 515.0 g, respectively), compared to genotype 2V (454.3 g and 312.3 g, respectively) (Figure 1).
Regarding the dispersion of genotypes according to morphological variables, it was observed that the plants from Puebla were in the fourth quadrant, which denotes reduced morphological diversity. On the other hand, aloe vera materials from the state of Veracruz were distributed in quadrants 1 and 3 (Figure 1).
This variability in the agro-morphological characteristics of plants in Veracruz may be due to the difference in the agronomic management of the producer. In this regard, Cristiano et al. (2016) points out that agronomic management can positively or negatively affect aloe vera crops, such as planting techniques and even postharvest management.
According to Añez and Vásquez (2005), some practices such as planting distance do not affect the growth of aloe vera plants, but they do affect the number of suckers they produce. However, if the suckers are not properly controlled, they can compete with the main plant for water and nutrients in the soil, negatively affecting its growth.
Soil analysis
The soils of aloe vera plantations in Table 3 showed that the pH in Puebla was moderately alkaline (7.4 and 8), while for Veracruz, it was moderately acidic (5.4 and 6.3) (SEMARNAT, 2002). The EC in Puebla indicates a moderately saline soil (2.1 and 4 dS m-1) compared to Veracruz, where it had negligible salinity effects (0.1 and 0.2 dS m-1). On the other hand, very high percentages of N were recorded for the four aloe vera plantations. The soils of site 1V had very high orM values (13.1%) in contrast to those of sites 1P, 2P, and 2V, which are within the range of 1.9 to 2.6%, classified as medium values (SEMARNAT, 2002).
Variable | Puebla | Veracruz | |||
---|---|---|---|---|---|
Site 1* | Site 2* | Site 1* | Site 2* | ||
pH | 7.4 | 8 | 5.4 | 6.3 | |
EC (dS m-1) | 2.1 | 1.8 | 0.2 | 0.1 | |
orM (%) | 1.9 | 2.3 | 13.1 | 2.5 | |
Type of soil | Sandy-clayey loam | Clayey-loam | Clayey | Clayey-loam | |
Bd (g ml-1) | 1.1 | 1.1 | 1 | 1.2 | |
N (%) | 5.7 | 8 | 5.8 | 12.9 | |
P (mg L-1) | 4.2 | 1.3 | 3.5 | 0.5 | |
K (mg L-1) | 20 | 13 | 8 | 5 |
*= average value of three repetitions. Acronyms are described in materials and methods.
The significant correlation values between the agro-morphological and agroecological characteristics of the four aloe vera genotypes are shown in Table 4, where a significant association (p≤ 0.05) was found between the agroecological variables: ALT, TEMP, PREC, and soil EC with the agro-morphological variables of stem and root weight.
LeLen | LeWid | LeCon | LeThi | LeafW | ULeafW | LereW | GelW | Stem | Root | |
---|---|---|---|---|---|---|---|---|---|---|
LeCon | 0.95* | 0.82 | ||||||||
LeThi | 0.96* | 0.67 | 0.85 | |||||||
LeafW | 0.99** | 0.77 | 0.95* | 0.97* | ||||||
ULeafW | 0.98** | 0.83 | 0.97* | 0.94* | 0.99** | |||||
LereW | 0.99** | 0.77 | 0.95* | 0.97* | 0.99** | 0.99** | ||||
GelW | 0.99** | 0.76 | 0.94* | 0.97* | 0.99** | 0.99** | 0.99** | |||
Root | 0.16 | 0.63 | 0.47 | -0.01 | 0.19 | 0.31 | 0.2 | 0.18 | 0.97* | |
ALT | 0.49 | 0.83 | 0.74 | 0.33 | 0.52 | 0.62 | 0.53 | 0.51 | 0.93* | 0.93* |
TEMP | -0.49 | -0.83 | -0.74 | -0.33 | -0.52 | -0.62 | -0.53 | -0.51 | -0.93* | -0.93* |
PREC | -0.49 | -0.83 | -0.74 | -0.33 | -0.52 | -0.62 | -0.53 | -0.51 | -0.93* | -0.94* |
EC | 0.45 | 0.86 | 0.7 | 0.31 | 0.49 | 0.59 | 0.5 | 0.48 | 0.95* | 0.94* |
orM | -0.98** | -0.79 | -0.98* | -0.94** | -0.99** | -0.99** | -0.99** | -0.99** | -0.3 | -0.29 |
Bd | 0.92 | 0.41 | 0.76 | 0.94* | 0.89 | 0.84 | 0.89 | 0.9 | -0.21 | -0.2 |
K | 0.26 | 0.85 | 0.49 | 0.19 | 0.33 | 0.43 | 0.34 | 0.32 | 0.94* | 0.87 |
Correlation significance level: *= p≤ 0.05, significant; **= p≤ 0.01, highly significant. The acronyms of the variables are described in materials and methods.
Edaphic variables with a high significant correlation (p≤ 0.01), but in a negative sense (|r|≥ -0.94), were recorded between the orM of the soil and some agro-morphological characteristics, which indicates that a soil rich in orM does not favor the development of attributes in the aloe vera plant. High concentrations of orM can reduce the growth and development of aloe vera plants, and thus negatively affect leaf size and weight (Chowdhury et al., 2020).
Bd had a significant correlation (p≤ 0.05) with the LeThi of aloe vera (r= 0.94), which has a direct impact on leaf quality attributes such as gel quantity and LeafW. K was significantly associated (p≤ 0.05) with stem weight (r= 0.94). The classification of the correlations presented in this study was in accordance with the criteria established in the study by Ruiz de Anda et al. (2019).
High correlations |r|> 0.7; p≤ 0.01 between the agro-morphological and agroecological characteristics (climate and soil variables), cited in the present study, allow us to postulate that the PREC and TEMP variables of the planting site negatively influence the stem and root of the A. vera plant and the orM does not favor the development of the plant. In this regard, Gepts (2008) highlights that the climatic variables important in the physiological and developmental processes of plants are generally: solar radiation, average air temperature, temperature, and average annual precipitation.
Conclusions
It was found that aloe vera genotypes 2V, 1P, and 2P had the highest values in most of the agro-morphological variables; genotype 1V is completely far from the dimensional plane of the rest, possibly attributed to the presence of high values of orM in the soil. Overall, the agroecological variable of precipitation has a high correlation with the agro-morphological characteristics in the four aloe vera genotypes, suggesting that site conditions have an important role in the genetic variation of the germplasm evaluated.
Bibliografía
Acosta, L. L. 2003. Principios agroclimáticos básicos para la producción de plantas medicinales. Revista Cubana de Plantas Medicinales. 8(1):1-5. [ Links ]
Añez, B. y Vásquez, J. 2005. Efecto de la densidad de población sobre el crecimiento y rendimiento de la sábila (Aloe barbadensis M.). Revista de la Facultad de Agronomía. 22(1):1-12. [ Links ]
Alagukannan, G. and Ganesh, S. 2006. Variation and correlation studies in Aloe vera L. ecotypes. Madras Agricultural Journal. 93(7-12):279-282. [ Links ]
Chowdhury, T.; Chowdhury, M. A. H.; Rahman, M. A.; Nahar, K.; Chowdhury, M. T. I. and Khan, M. S. I. 2020. Response of Aloe vera to inorganic and organic fertilization in relation to leaf biomass yield and postharvest fertility of soil. Bulgarian Journal of Agricultural Science. 26(2):346-354. [ Links ]
Cristiano, G.; Murillo-Amador, B. and Lucia, B. D. 2016. Propagation techniques and agronomic requirements for the cultivation of barbados aloe (Aloe vera (L.) Burm. F.) a review. Frontiers in Plant Science. 7(1410):1-14. [ Links ]
Flück, H. 1995. The influence of climate on the active principles in medicinal plants. Journal of Pharmacy and Pharmacology. 7(1):361-383. [ Links ]
Franco-Salazar, V. A.; Véliz, J. A. y Rojas, D. A. L. 2012. Ecofisiología de Aloe vera (L.) Burm. f. en guayacán, península de Araya, estado Sucre, Venezuela. Interciencia. 37(6):444-450. [ Links ]
Gabriel, K. R. 1971. The biplot graphic display of matrices with application to principal component analysis. Biometrika. 58(3):453-467. https://doi.org/10.1093/biomet/58.3.453. [ Links ]
García, E. 2004. Modificaciones al sistema de clasificación climática de Köppen para adaptarlo a las condiciones de la República Mexicana. 5ta . ed. Instituto de Geografía- Universidad Nacional Autónoma de México (UNAM). México, DF. 19-49 pp. [ Links ]
Gepts, P. 2008. Tropical environments, biodiversity, and the origin of crops . Ming Ed. Genomics of tropical crop plants. Springer. USA. 1-20 pp. [ Links ]
Kumar, S.; Azam, M. M.; Venkatesan, K.; Anjly, P. and Kulloli, R. N. 2019. Morphological and biochemical variability in aloe germplasm in hot arid region of India. Journal of Herbs, Spices & Medicinal Plants. 25(2):158-171. [ Links ]
Paez, A.; Gebre, G. M.; Gonzalez, M. E. and Tschaplinski, T. J. 2000. Growth, soluble carbohydrates and aloin concentration of Aloe vera plants exposed to three irradiance levels. Environmental and Experimental Botany. 44(2):133-139. [ Links ]
Pedroza, S. A. y Gómez, L. F. 2006. La sábila (Aloe spp.). Propiedades, manejo agronómico, proceso agroindustrial y de mercado. Universidad Autónoma de Chapingo (UACH). Texcoco, Estado de México. 105-147 pp. [ Links ]
Rohlf, F. J. 2009. NTSYSpc: numerical taxonomy system. Version 2.21c. Exeter Software. Setauket. New York. [ Links ]
Ruiz de Anda, D; Ventura, L. M. G.; Rodríguez, H. G. and Ozuna, L. C. 2019. The impact of power ultrasound application on physicochemical, antioxidant, and microbiological properties of fresh orange and celery juice blend. Journal of Food Measurement and Characterization. 13(2019):3140-3148. https://doi.org/10.1007/s11694-019-00236-y. [ Links ]
Saks, Y. and Ish-shalom-Gordon, N. 1995. Aloe Vera L., a potential crop for cultivation under conditions of low temperature winter and basalt soils. Industrial Crops and Products. 4(2):85-90. [ Links ]
SEMARNAT. 2002. Secretaría de Medio Ambiente y Recursos Naturales. Norma Oficial Mexicana NOM-021-RECNAT-2000, que establece las especificaciones de fertilidad, salinidad y clasificación de suelos. 73. [ Links ]
SIAP. 2017. Servicio de Información Agroalimentaria y Pesquera. Anuario estadístico de la producción agrícola. https://nube.siap.gob.mx/cierreagricola/. [ Links ]
Surjushe, A.; Vasani, R. and Saple, D. G. 2008. Aloe vera: a short review. Indian Journal of Dermatology. 53(4):163-166. [ Links ]
Tawfik, K. M; Sheteawi, S. A. and El-Gawad, Z. A. 2001. Growth and aloin production of Aloe vera and Aloe seru under different ecological conditions. Egyptian journal of biology. 3(2001):149-159 [ Links ]
Received: March 01, 2024; Accepted: April 01, 2024