Next Article in Journal
Emergy, Environmental and Economic (3E) Assessment of Biomass Pellets from Agricultural Waste
Next Article in Special Issue
Organic Management Approaches and Practices to Support Sustainable Horticultural and Fruit Plants Production
Previous Article in Journal
Effect of Dietary Inclusion of Olive Leaves and Olive Pulp on the Oxidative Status and Meat Quality of Broiler Chickens
Previous Article in Special Issue
Impact of Nitrogen Fertilization on Fruit Parameters of Four Cucurbita maxima Cultivars Grown in Poland
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Agronomic Effects of Different Rock Powder Rates Associated with Irrigation Water Depths: Potential for Lettuce (Lactuca sativa L.) Production

by
Patrícia Costa Silva
1,
Matheus Batista Sabino
1,
Maria Beatriz Ferreira
2,*,
Narla Costa Oliveira Sabino
1,
Larissa Silva Sousa
1,
Mariana Batista Elias
1,
Amanda de Brito Silva
1,
Ana Flávia Alves Ferreira
1,
Adriana Rodolfo da Costa
1,
Josué Gomes Delmond
1,
Jhon Lennon Bezerra da Silva
3,
Henrique Fonseca Elias de Oliveira
3,
Thieres George Freire da Silva
4 and
Marcos Vinícius da Silva
5
1
Department of Agricultural Engineering, State University of Goiás, Santa Helena de Goiás 75920-000, Goiás, Brazil
2
Department of Forest Sciences, Federal Rural University of Pernambuco (UFRPE), D. Manoel de Medeiros Ave., Dois Irmãos, Recife 52171-900, Pernambuco, Brazil
3
Cerrado Irrigation Graduate Program, Goiano Federal Institute, Campus Ceres, GO-154, Km 218, Rural Zone, Ceres 76300-000, Goiás, Brazil
4
Agrometeorology Laboratory, Academic Unit of Serra Talhada (UAST), Federal Rural University of Pernambuco (UFRPE), Gregório Ferraz Nogueira Ave., Serra Talhada 56909-535, Pernambuco, Brazil
5
Department of Engineering Agricultural, Centro of Sciences Chapadinha, Federal University of Maranhão, BR-222, Chapadinha 65500-000, Maranhão, Brazil
*
Author to whom correspondence should be addressed.
Agriculture 2025, 15(6), 663; https://doi.org/10.3390/agriculture15060663
Submission received: 13 February 2025 / Revised: 13 March 2025 / Accepted: 14 March 2025 / Published: 20 March 2025

Abstract

:
Lettuce is among the 10 most valued vegetables for fresh consumption in Brazil. The use of rock powder in lettuce crops for soil acidity correction or fertilization is an option for reducing production costs. In this context, the objective of this study was to evaluate the effects of rock powder rates mica schist and irrigation water depths on the development and production characteristics of lettuce crops. The study was conducted in the experimental area of the State University of Goiás, using pelletized seeds of the lettuce cultivar Crespa Vanda. A randomized block experimental design with four replications was used, in a 4 × 4 factorial arrangement composed of four irrigation water depths: 50%, 75%, 100%, 125% of crop evapotranspiration (ETc), and four rock powder rates: 6, 8, 10, and 12 tons per hectare (t ha−1), associated with mineral soil fertilizer application, totaling 16 treatments and 64 experimental plots. The variables evaluated were plant height, stem diameter, number of leaves, head diameter, total fresh weight, commercial fresh weight, leaf area index, useful leaf area, estimated yield, chlorophyll a, chlorophyll b, and water use efficiency. The data were subjected to regression analysis and principal component analysis. The variables studied exhibited predominantly low to medium coefficients of variation in all treatments, confirming the homogeneous conditions and precision of the study. The treatment with the highest rock powder rate (12 t ha−1) provided the best results regarding agronomic effects for all lettuce crop variables evaluated. This rate provided better plant growth and development, resulting in improved response for production variables that are agronomically and economically relevant. The highest water use efficiency was found for the water depth of 50% ETc; however, the best lettuce production results were found for the irrigation water depth of 100% ETc. This water depth highlighted the strong correlation of commercial and total fresh weights with commercial and total production, as they are production components of the crop.

1. Introduction

Lettuce (Lactuca sativa L.) is one of the most grown and consumed leafy vegetables throughout Brazil, despite the country’s varied climate, with a high demand driven by consumption habits [1]. It is grown in all regions of Brazil, is one of the most-grown leafy vegetables in home gardens, and is the primary leaf vegetable consumed by the population, due to its low cost, flavor, and nutritional properties [2].
Lettuce is among the 10 most valued vegetables for fresh consumption in Brazil and, therefore, holds significant economic importance for the country [3]. It is a significant source of vitamin A and contains several other vitamins, including B1, B2, and C, as well as iron and calcium salts [4]. Lettuce crops are a great alternative economic activity for family farmers, as it is easy to produce and requires low maintenance. According to the Brazilian National Food Supply Company (Conab), Goiás is one of the largest lettuce-producing states in Brazil, supplying distribution centers with a production of 37,545 Mg, up to mid-December 2020.
Advances in agricultural production are essential in the search for alternatives that promote nutrient use efficiency, enabling increased food production using low-cost sources. In this context, the use of remineralizers such as rock powders has emerged as an alternative for growers [5]. According to Crusciol et al. [6], rock powder application helps mitigate problems caused by chemical fertilizer application and reduces production costs.
The use of rock powders for soil acidity correction or as a fertilizer is an alternative that reduces production costs and helps address the current dependency on imported inputs, such as magnesium, potassium, and phosphorus, without compromising crop yield [7]. Santos et al. [8] also reported that the use of basaltic powder rock, among others, restores soil mineral balance, resulting in the renewal of low-fertility or degraded soils, as they gradually add nutrients over time. The use of rock powder has several environmental benefits, including the reduced carbon footprint and the potential increase in carbon sequestration; therefore, crops using these remineralizers are characterized as low-carbon-emission systems [9]. In addition, rock powder is a source of nutrients to crops, it improves soil structure, and it increases soil water retention capacity, reducing nutrient leaching [10].
Modern agriculture seeks to develop crop systems that produce quality foods in large quantities, without harming the environment [11]. In this context, the use of inputs such as remineralizers has emerged as an alternative to the current production model, which focuses on reducing the dependency on traditional chemical fertilizers. This approach is important and should be promoted globally, as preservation of natural resources and sustainability are pivotal topics of discussion worldwide [12]. Crops grown in greenhouses are gradually increasing in Brazil; however, this system still has limitations regarding irrigation methods, as it is a closed environment [13]. The use of localized drip irrigation is one of the alternatives for these environments. Lettuce is a highly water- demanding crop (Villa e Vila et al., 2024); thus, its production requires adequate irrigation not only to meet the water demand, but also to increase nutrient absorption [14].
The drip irrigation system is among the localized methods used on large-scale crops; it presents easy maintenance and monitoring, improves water use, and minimizes waste, making it the most efficient irrigation system [15]. Many lettuce crops are grown under conventional sprinkler irrigation systems; however, the search for more sustainable water use systems is increasing the use of localized drip irrigation, aiming to improve crop yield and quality [16].
The Brazilian state of Goiás presents favorable climate conditions for lettuce crops, allowing the sowing in any season of the year; however, the use of irrigation is sometimes necessary. Although some studies have evaluated and compared different products and systems for lettuce crops, current research on different irrigation water depths using drip irrigation associated with remineralizers such as rock powders and the application of foliar biofertilizers in lettuce does not exist; there is only the addition of the isolated products. Therefore, this area needs to be further researched, as the use of rock powder as fertilizer improves chemical, physical, and biological characteristics, enhancing environmental quality, and maintains nutrient balance for the crop. This approach contributes to reducing dependence on imported mineral fertilizers by utilizing a locally accessible resource in Brazil. In this context, the objective of this study was to evaluate the effects of rock powder rates and irrigation water depths on the development and production characteristics of lettuce crops.

2. Materials and Methods

2.1. Experimental Characterization

The experiment was conducted in a protected environment at the experimental area of the State University of Goiás (UEG), located in Santa Helena de Goiás, Goiás, Brazil (17°48′49″ S, 50°35′49″ W, at an altitude of 595 m). The region’s climate is Aw (tropical savanna), according to the Köppen classification, characterized by a temperate climate with well-defined dry (May to September) and rainy (October to April) seasons. The mean annual temperature is 23 °C, with maximum temperatures reaching 39 °C. The lowest temperatures are observed from May to June, and the mean annual rainfall is 1300 mm [17]
The lettuce cultivar used in the study was pelletized Crespa Vanda Lettuce developed by Sakata seeds (Sakata Seed Sudamérica). The seedlings were produced in polyethylene tubes with a volume of 25 cm3, to which commercial substrate was added. Sowing took place on 30 December 2021. The lettuce seedlings were transplanted into pots 23 days after sowing, on 22 January 2022. These polyethylene pots had a capacity of 15-L, which were filled with a soil classified as Typic Hapludox (Latossolo Vermelho Distrófico) [18] with a clay texture. The results of the soil’s chemical and textural analyses are presented in Table 1.
The composition of the rock powder of mica schist was determined through chemical and mineralogical analyses conducted at the Regional Center for Technological Development and Innovation (CRTI) of the UFG, Fern Campus, in Goiânia, Goiás, Brazil. Table 2 presents the quantitative mineralogical analysis of the rock dust sample. Table 3 shows the minor elements analyzed in rock dust, while the major oxides present in rock dust are listed in Table 4. These analyses are essential as they aim to identify the mineralogical and chemical composition of the rock, focusing on the production of natural fertilizers, known as remineralizers. This type of rock dust has been widely used to complement conventional mineral fertilization.
A randomized block experimental design with four replications was used, in a 4 × 4 factorial arrangement composed of four irrigation water depths: 50%, 75%, 100%, and 125% of crop evapotranspiration (ETc), and four rock powder rates: 6, 8, 10, and 12 tons per hectare (t ha−1), associated with mineral soil fertilizer application, totaling 16 treatments and 64 experimental plots. The rock dust doses were converted into grams per pot (g pot⁻1), considering the soil mass based on the relationship between the pot volume and soil density. The corresponding doses, in the order mentioned above, were: 45.0 g pot⁻1; 60.0 g pot⁻1; 75.0 g pot⁻1; and 90.0 g pot⁻1.
Soil liming was performed to correct acidity and increase base saturation to 70%, as described by Filgueira [1], by adding 1.12 t ha−1 of calcitic limestone (Total Neutralizing Power of 100%). The limestone was applied together with the rock powder, focusing on standardizing the distribution.
Fertilizers were applied after seedling transplanting and as topdressing, calculated based on the soil (Table 1) and rock powder (Table 2, Table 3 and Table 4) chemical analyses, following recommendations for the crop. The fertilizer rates used were 30.0 kg ha−1 of N, 400 kg ha−1 of P2O5, 30.0 kg ha−1 of K2O, and 1 kg ha−1 of B2O3 at the time of seedling transplanting. These doses were converted into grams per pot (g pot⁻1), also considering the soil mass based on the relationship between the pot volume and soil density as previously described. The corresponding doses were: 0.22 g pot⁻1 of N; 3.0 g pot⁻1 of P2O5; 0.23 g pot⁻1 of K2O; and 7.5 mg pot⁻1 of B2O5. Additionally, 90 kg ha⁻1 of N (0.68 g pot⁻1 of N) and 60 kg ha⁻1 of K2O (0.46 g pot⁻1 of K2O) were applied, as topdressing, split into two applications, at 15 and 30 days after transplanting the seedlings into the pots. The amounts of nutrients needed for the lettuce crop development and application timing were based on recommendations described by Rezende [19].
The different rock powder rates were quantified based on the recommendation for each nutrient, and the remaining nutrient requirements were supplemented with conventional mineral soil fertilizers (urea, simple superphosphate, potassium chloride, and boron), ensuring the same quantity of each nutrient for all treatments.
Each plot consisted of one pot; the pots were spaced 0.30 m between plants and 0.30 m between rows, following the recommendation for the crop. The irrigation water depths were applied through a drip system with one emitter per pot, with one line for each row of pots. The emitters had nominal flow of 1.6 L h−1, operation pressure of 8 mwc (meters of water column). Tests were conducted to determine the water application efficiency and distribution uniformity, for an efficient water application [20].
The mean Christiansen uniformity coefficient (CUC), Christiansen distribution uniformity coefficient (CUD), and application efficiency (AE) evaluated are shown in Table 5. The estimated values demonstrated that the system was excellent in terms of water supply, based on to the methodology of Merriam and Keller [21].
A mini-Class A tank was used for irrigation management, installed inside the greenhouse, and calibrated as described by Santos et al. [22], based on Class A tank standards. The evaporation in the Class A tank was determined through daily readings of evaporation in the mini tank, with corrections as described by Santos et al. [22], using Equation (1):
ECA = (1.4035 × EMT) + 1.2456
where,
  • ECA = Evaporation in the Class A tank (mm day−1);
  • EMT = Evaporation in the mini tank (mm day−1).
The daily result obtained from Equation (1) was used to calculate the reference evaporation (ETo), using Equation (2), as described by Allen et al. [23] according to the Equation (3).
ET o   = ECA × K t
where,
  • ETo = Reference evapotranspiration (mm day−1);
  • Kt = Coefficient of the tank (dimensionless);
  • ECA = Evaporation in the Class A tank (mm day−1).
The crop evapotranspiration (ETc) was obtained using the FAO’s standard method [23], using Equation (3):
ET c   = ET o × K c
where,
  • ETc = Crop evapotranspiration (mm day−1);
  • ETo = Reference evapotranspiration (mm day−1);
  • Kc = Crop coefficient (dimensionless).
The crop coefficient (Kc) was determined using a variation of 0.5 to 1.05, depending on the lettuce developmental stages, using 0.5 for the first stage (0 to 25 days); 0.7 for the second stage (26 to 35 days); 1.05 for the third stage (36 to 44 days); and 1.0 for the fourth stage (44 to 60 days) [23,24].
The ETc in Equation (3) was calculated considering 100% of the water required for the crop. This value was multiplied by 0.5, 0.75, and 1.25 for the other treatments, corresponding to 50%, 75%, and 125% ETc, respectively, it is worth mentioning that irrigation in all treatments was applied daily based on ETc on a daily scale.
A fixed watering shift of 1 day was used for the irrigation management during the crop cycle [23,25]. The irrigation water depths were determined using the total irrigation water depth required, calculated with Equation (4):
TWD = ET c × WS E a
where,
  • TWD = Total irrigation water depth needed (mm);
  • ETc = Crop evapotranspiration (mm day−1);
  • WS = Watering shift (1 day);
  • Ea = Irrigation efficiency (dimensionless).
The irrigation time was calculated using Equation (5) [23,25]:
Ti = T W D × E 1 × Eg q
where,
  • Ti = Irrigation time (min);
  • TWD = Total irrigation water depth needed (mm);
  • E1 = Spacing between lateral rows (m);
  • Eg = Spacing between the drippers (m);
  • q = dripper flow (L h−1).
Weeds were controlled through manual weeding. Ants were controlled after their incidence was detected in the greenhouse by applying the insecticide fipronil (Regente 800; 800 g kg−1) at the rate of 1 g L−1.
The lettuce plants were manually harvested in the morning and afternoon periods at 54 days after sowing, when they reached maximum vigor, which typically occurs between 45 and 60 days [19].

2.2. Temperatures Inside the Protected Environment

Maximum, minimum, and mean air temperatures (°C) inside the protected environment were measured using a digital thermohygrometer with a measurement range of −10 to 60 °C, a resolution of 0.1 °C, and an accuracy of ±1 °C. Temperatures were measured at a height of 1.0 m above ground level, in the mornings, at the time the drip irrigation system was activated.

2.3. Agronomic and Production Characteristics of the Lettuce Crops

Lettuce plants were harvested 54 days after sowing. The crop agronomic and production characteristics evaluated included: plant height, measured from the ground to the top of the plant (cm); stem diameter, measured at a height of approximately 3 cm from the stem base, using a digital caliper (mm); number of leaves, determined by counting the leaves of each plant in each experimental plot; leaf area index, calculated by multiplying the rib main length by the maximum leaf width and applying a correction factor of 0.75, as used for lettuce [26]; useful leaf area, determined by multiplying the main rib length by the maximum leaf width [26]; head diameter, measured as the length between opposite leaves using a ruler (cm); total fresh weight, measured by weighing the entire plant, including all leaves, using an analytical balance (g plant−1); commercial fresh weight, measured by weighing only useful leaves using an analytical balance, after removing external leaves (burned or yellowish) that are not suitable for consumption (g plant−1); yield, estimated by the weight of all plants, converted into kilograms per hectare based on the planting spacing used (kg ha−1); chlorophyll a and chlorophyll b, measured using a clorofiLOG device; and water use efficiency, determined by correlating the estimated yield (kg ha−1) with the total quantity of water applied (mm) over the crop cycle for each treatment.

2.4. Statistical Analyses

The data obtained were subjected to analysis of variance (ANOVA) using the F-test at 1% and 5% probability level to assess significant effects. The data related to the different irrigation water depths and rock powder rates applied to the lettuce crops were then subjected to regression analysis, using the RStudio 4.03 software [27].
The data were subjected to principal component analysis (PCA). A covariance matrix was developed to extract eigenvalues, which were used to generate eigenvectors based on the principal components. The Kaiser criterion was applied to identify correlated variables, considering eigenvalues above 1, which indicate components with sufficient information contained in the original data [28]. The statistical analyses were conducted using the RStudio 4.03 software [27].

3. Results and Discussion

3.1. Temperatures and Crop Evapotranspiration Inside the Protected Environment

The results of maximum, minimum, and mean air temperatures (°C) and crop evapotranspiration (ETc; mm day−1) inside the protected environment are shown in Figure 1. The ETc during the study period ranged from 2.07 to 9.67 mm day−1. The mean temperature inside the greenhouse ranged from 34.9 to 36.1 °C, with minimum temperatures ranging from 17.3 to 39.1 °C and maximum temperatures ranging from 23.1 to 49.4 °C (Figure 1). Michelon et al. [29] evaluated strategies for improving water use efficiency in lettuce crops and reported mean maximum temperatures of 35.6 °C in one of the experiments, a value close to that found in the present study. The temperatures during the experiment were high because the protected environment was covered by a diffuser plastic film, and the crop cycle coincided with the summer season. Therefore, the mean temperatures were outside the recommended range of 15.5 to 18.3 °C and the tolerance range for maximum temperatures of 26.6 a 29.4 °C for crops in open fields [30].
However, the cultivar Vanda adapts well to varied conditions of temperature and relative humidity, exhibiting high hardiness and productivity even under tropical climates. Thus, the micrometeorological components had no negative effect on the growth, development, or yield of the lettuce cultivar studied, which demonstrated satisfactory productivity under the evaluated conditions. These results are consistent with those of Fernandes et al. [31], who investigated agrometeorological conditions for lettuce cultivars and found no direct relationship between the development and yield of the cultivar ‘Bruna’ and agrometeorological variables. These researchers also concluded that, although climatic elements are crucial for plant growth and development, they do not directly affect lettuce cultivars or phytotechnical characteristics under protected environment conditions.

3.2. Analysis of Variance and Regression

The analysis of variance (ANOVA) (Table 6) revealed a significant effect (p < 0.01) of the irrigation water depths on all agronomic and production characteristics studied. However, the effect of the rock powder rates and the interaction between the rock powder rates and irrigation water depths were not significant.
The lack of significance of rock powder rates and their interaction with irrigation water depths on the evaluated characteristics was likely due to the short cycle of the lettuce crop and the slow remineralization of rock powder, which requires a longer time in the soil to release minerals. However, the use of rock powder is viable, as it supplied the nutrients required for crop development. Lajús et al. [5] also highlighted the slow nutrient release of rock powder compared to more soluble chemical fertilizers; however, the slow remineralization is compensated by the longer nutrient availability period in the soils.
Similar results were reported by Rezende et al. [19], who then evaluated the use of rock powder as a soil fertilizer for lettuce plants and found that the basalt powder rates tested, either alone of or combined with cattle manure, resulted in no significant variation. In addition, Dalcin et al. [32] evaluated the effect of adding rock powder to a Typic Hapludult on the growth of lettuce plants of the cultivar Vanda and found no increase in shoot fresh and dry weights, plant height, number of leaves, or stem diameter over a period of 42 days.
However, Santana et al. [33] evaluated the responses of lettuce cultivars to irrigation water depths and nitrogen rates and found that the different water depths had a significant effect on number of leaves and plant height for the cultivar Americana Grandes Lagos 659. They also found a significant effect of irrigation water depths for plant height, shoot weight, number of leaves, and root fresh weight for the cultivar Crespa Mônica. Moreover, the water depths of 100% and 125% ETc combined with the urea rate of 125 kg ha−1 resulted in better development and growth of lettuce plants.
Overall, the coefficients of variation (CV) of the variables (Table 6) based on the criteria of Warrick and Nielsen [34] were considered low (CV < 12%) to medium (CV = 12–24%). This indicates lower variability and homogeneity of abiotic factors in the protected environment.
The regression equations for each evaluated characteristic and their respective coefficients of determination are shown in Table 7. The number of leaves increased linearly with the water depth, with means ranging from 16.5 to 20.5 between the water depths of 50% and 125% ETc. Magalhães et al. [35] evaluated the lettuce cultivars Rapids, Mônica, and Simpson using irrigation levels of 50% to 125% ETc and found an increasing linear effect for the number of leaves as a function of increasing irrigation water depth, which varied from 8.21 to 14.63 leaves per plant. Higher results were obtained in the present study.
The lettuce plant height, stem diameter, and head diameter also exhibited linear responses as a function of irrigation water depths (Table 7), with mean plant height varying from 17.97 to 22.33 cm, with stem diameters from 9.41 to 11.93 mm, and head diameter from 27.15 to 30.41 cm. The lowest values of these characteristics were observed for the water depth of 50% ETc, and the highest for 125% ETc; these results are consistent with those obtained by Bozkurt et al. [36]. Many plant species have shallow root systems and are sensitive to moderate water stress; in the case of lettuce, the commercial part of the plant is the leaf, thus, maintaining adequate growth requires proper water application to ensure satisfactory yield [36]. Silva et al. [37] evaluated plant height of irrigated ‘Vanda’ lettuce crops and found a linear response to irrigation water depths of 50% to 125% ETc, with a 12.55% increase in plant height. The head diameter results found in the present study were similar to those reported by Schumacher et al. [38], who evaluated a conventional system and found mean head diameter of 34.21 cm plant−1.
Leaf area index and useful leaf area increased linearly with the water depth, with the lowest values observed for the water depths of 50% ETc and the highest for the 125% ETc (Table 7 and Figure 2). According to Hou et al. [39], increases in the leaf area of plants subjected to irrigation with higher water rates are connected to the greater hydration of leaf tissues. A study reported that higher irrigation water depths result in significant increases in leaf area [40]. Additionally, Alvim et al. [41] reported that the leaf area index is one of the most important factors for characterizing plant growth because the leaves are the primary photosynthetic structures directly linked to yield increases, as evidenced in the present study.
The means obtained for the production characteristics (total fresh weight, commercial fresh weight, and estimated yield) fit to a quadratic regression equation (p < 0.01) (Table 7). The water depth of 106.52% ETc resulted in the maximum estimated fresh weight (113.07 g plant−1); the maximum estimated commercial fresh weight (99.29 g plant−1) was observed at the water depth of 102.86% ETc; and the maximum estimated yield (12,440.88 kg ha−1) was achieved with the water depth of 107.11% ETc. These results are consistent with those obtained by Cahn et al. [42], who evaluated the water requirements, nitrogen use, and yield of lettuce crops under ETc-based irrigation and found higher fresh and dry biomass yields in treatments with 100% ETc, with no significant difference compared to treatments with 150% ETc. Similar results were found by Abd-Elrahman et al. [43], who evaluated the effect of irrigation water depths associated with fertilizer application on lettuce yield. According to Michelon et al. [29], irrigation affects lettuce total and commercial fresh weights, reaching a difference of 29% between water depths of 25% and 100% ETc, respectively, directly affecting the crop yield.
Chlorophyll a and chlorophyll b contents increased as the water depth was increased (Table 7 and Figure 2). Shin et al. [44] monitored changes in chlorophyll contents, growth parameters, and phytochemical parameters of lettuce seedling leaves under water stress and found that chlorophyll contents decreased in seedlings stressed by water deficit.
Water use efficiency (WUE) exhibited a linear decreasing trend (Table 7 and Figure 2), with the highest WUE at the water depth of 50% ETc and the lowest in the water depth of 125% ETc. Magalhães et al. [35] evaluated four irrigation water depths (50%, 75%, 100%, and 125% ETc) applied through a drip system for three lettuce cultivars (Simpson, Rapids, and Mônica) and found that increases in irrigation water depths decreased the water use efficiency and increased shoot fresh weight. These results are similar to those found in the present study and provide evidence that more efficient water use does not always result in higher crop yields [43].
The principal component analysis (PCA) of agronomic and production characteristics of the lettuce crops (Figure 2) showed that the eigenvalues of principal components 1 (PC1) and 2 (PC2) were above 1, based on the criterion of Kaiser [28]. This indicates the high significance of these components in explaining the variation among the variables. The total variance explained by PC1 and PC2 were 62.99% and 13.92%, respectively, significantly explaining correlations between the variables (Figure 2). These results are similar to those obtained by Silva et al. [45], who conducted a PCA on morphometric, production, and quality variables of cherry tomato crops under different irrigation water depths and found eigenvalues above 1 (PC1 = 4.06 and PC2 = 1.64), meeting the significance criteria for the variables. Machado et al. [46] evaluated the agronomic performance of lettuce cultivars grown in a greenhouse and observed eigenvalues above 1.0 (PC1 = 3.89 and PC2 = 1.21).
Figure 2 illustrates that all agronomic and production characteristics of lettuce crops exhibited the best responses to the rock powder application rate of 12 t ha−1, except WUE. Therefore, applying 12 t ha−1 of rock powder enhanced plant height, number of leaves, stem diameter, head diameter, total fresh weight, commercial fresh weight, leaf area index, useful leaf area, estimated yield, and chlorophyll a and chlorophyll b contents. Rock dust has shown potential to improve soil fertility and plant nutrition, as its nutrients are gradually released and remain available in the soil for a longer period. This slow release allows for continuous crop nutrition, resulting in balanced and healthy plant growth.
The estimated yield exhibited a strong correlation with total fresh weight and commercial fresh weight, as expected, since these production variables are interconnected. Similarly, chlorophyll a and chlorophyll b exhibited a strong correlation and higher contents with the application of 12 t ha−1 of rock powder, as increases in chlorophyll in lettuce leaves due to remineralizer application is associated with high silicon concentration availability in the soil, mainly when using high rates [47]. Similarly, Maldaner et al. [48] evaluated the effect of basalt powder rates on lettuce crops and found that the highest rate increased the contents of these pigments.
The findings of this study corroborate those of Augusto et al. [49], who evaluated organic lettuce production using different basaltic rock powder rates, organic compost, and microorganisms and found that the use of rock powder increased the number of leaves, commercial dry weight, root fresh weight, head commercial diameter, and stem length of Americana lettuce. Groth et al. [50] also found similar responses when analyzing the effects of applying three basalt powder sources on the performance of lettuce plants.
Rock powder slowly releases nutrients into the soil solution in ideal forms and quantities for plant absorption [51,52]. Thus, the highest rate (12 t ha−1) led to the release of a higher quantity of nutrients in a short period (Figure 2), as this remineralizer promotes an increase in soil cation exchange capacity [52], resulting in improved responses in lettuce plants. This rate (12 t ha−1) likely provided a chemical balance in the soil, resulting in improved plant growth, development, and vigor, increasing the plant’s capacity to absorb and retain CO2. Li et al. [53] and Arnott et al. [51] reported that the use of rock powder is a sustainable technique that increases CO2 retention, provides nutrients to the soil and plants, and acts as a soil pH regulator.
Principal component analysis (PCA) was also conducted for agronomic and production characteristics of lettuce crops subjected to irrigation water depths of 50%, 75%, 100%, and 125% ETc, as illustrated in Figure 3. The total cumulative variance explained by PC1 and PC2 was 76.91%; these results are significant in explaining the correlations observed between the studied characteristics, according to the criterion of Kaiser [28].
The water depth of 50% ETc resulted in a higher WUE, which decreased as the applied water depth increased (Figure 3 and Table 7). This occurs because when higher irrigation levels are used, efficiency tends to decrease, reaching its maximum with lower irrigation levels. This is because Water Use Efficiency (WUE) is determined by the ratio between crop yield and the total amount of water supplied to the crop throughout the production cycle. These results corroborate those of Abd-Elrahman et al. [43], who studied irrigation water depths associated with fertilizer application in lettuce crops. Furthermore, Michelon et al. [29] evaluated improvements in WUE in irrigated lettuce and observed that lower irrigation water depths resulted in higher WUE, as the irrigation of 50% ETc was more efficient. Therefore, the WUE observed in the present study was inversely proportional to increases in irrigation water depth and consistent with studies conducted in different locations, which reported inverse correlations between WUE and irrigation water depths [54,55].
The principal component analysis (Figure 3) showed that total fresh weight, commercial fresh weight, and estimated yield were strongly correlated with the irrigation water depth of 100% ETc. The other agronomic characteristics (plant height, stem diameter, head diameter, leaf area index, useful leaf area, chlorophyll a, and chlorophyll b) were strongly correlated with the irrigation water depth of 125% ETc (Table 7). Cahn et al. [42] obtained similar results, with irrigation at 100% ETc providing the most suitable environment for producing commercially viable yields. An experiment with Americana lettuce subjected to different irrigation water depths conducted by Lima Junior et al. [56] revealed that the maximum estimated yield was obtained at an irrigation water depth of 98%. In a similar study, Lima Junior et al. [57] observed the highest yield for the lettuce cultivar Raider Plus when applying a water depth of 101% ETc; these results are close to those found in the present study.

4. Conclusions

The treatment with the highest rock powder rate (12 t ha−1) led to the best agronomic results across all studied characteristics of lettuce crops. This rate enhanced growth and development of lettuce plants, ultimately improving production variables, which are the most agronomically and economically relevant.
The use of rock powder in agriculture is a novel, sustainable, and promising approach with high potential to improve practices in important crops, including leafy vegetables cultivated worldwide. However, further studies are needed to optimize its application.
The water depth of 50% ETc led to the highest water use efficiency (WUE); however, maximum WUE does not always correspond to the highest plant quality and yield.
The water depth of 125% ETc increased plant height, stem diameter, head diameter, leaf area index, useful leaf area, and chlorophyll a and chlorophyll b contents. However, to highest lettuce yields were achieved at an irrigation water depth close to 100% ETc. This water depth showed a strong correlation between commercial and total fresh weights with commercial and with total production, as these are key crop yield components.
Irrigation significantly influences the agronomic and productive characteristics of lettuce crops, making it a crucial factor in commercial productions.
Therefore, under the conditions in which the present experiment was conducted, the application of 100% of the crop evapotranspiration (ETc) is recommended to achieve higher productivity and commercial-scale quality. This recommendation is based on the fact that the most efficient water use was neither the most productive nor the one that promoted the best agronomic performance for lettuce cultivation.

Author Contributions

Conceptualization, P.C.S., M.B.S., N.C.O.S., A.F.A.F., A.R.d.C. and M.V.d.S.; Methodology, P.C.S., M.B.F., M.B.S., L.S.S., A.d.B.S., A.R.d.C. and M.V.d.S.; Software, P.C.S., M.B.E., A.R.d.C., J.L.B.d.S., H.F.E.d.O. and M.V.d.S.; Validation, P.C.S., L.S.S., A.F.A.F., A.R.d.C., H.F.E.d.O. and M.V.d.S.; Formal analysis, P.C.S., M.B.F., M.B.S., N.C.O.S., L.S.S., A.d.B.S., T.G.F.d.S. and M.V.d.S.; Investigation, P.C.S., M.B.S., N.C.O.S., A.F.A.F., J.L.B.d.S., H.F.E.d.O. and T.G.F.d.S.; Resources, P.C.S. and M.B.F.; Data curation, P.C.S., M.B.F., J.G.D., J.L.B.d.S. and H.F.E.d.O.; Writing—original draft preparation, P.C.S., M.B.S., N.C.O.S., L.S.S., M.B.E., A.d.B.S., A.F.A.F., A.R.d.C. and J.G.D.; Writing—review and editing, P.C.S., M.B.F., N.C.O.S., L.S.S., M.B.E., A.d.B.S., A.F.A.F., A.R.d.C., J.G.D., J.L.B.d.S., H.F.E.d.O., T.G.F.d.S. and M.V.d.S.; Visualization, P.C.S., M.B.F., M.B.S., N.C.O.S., L.S.S., M.B.E., A.d.B.S., A.F.A.F., A.R.d.C., J.G.D., J.L.B.d.S., H.F.E.d.O., T.G.F.d.S. and M.V.d.S.; Supervision, P.C.S. and M.V.d.S.; Project administration, P.C.S.; Funding acquisition, P.C.S. and M.B.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received funding for execution as well as for APC, through the financial resource coming from the Notice Pro-Projetos Bioinsumos UEG—PrP 032/2023, funding term no. 57/2023—SEI process n. 202200020023138.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The data used in this research is confidential, only upon request.

Acknowledgments

To the undergraduate course in Agricultural Engineering at the Universidade Estadual de Goiás (UEG), for supporting the development of this research. The Dean of Research and Graduate Studies at UEG.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Filgueira, F.A.R. Novo Manual de Olericultura: Agrotecnologia Moderna Na Produção e Comercialização de Hortaliças; Ed. UFV: Viçosa, Brazil, 2008; ISBN 8572693130. [Google Scholar]
  2. Souza, Ê.G.F.; Ribeiro, R.M.P.; Pereira, L.A.F.; de Sênna Silva Neto, J.S.; Barros Júnior, A.P.; da Silveira, L.M. Produtividade de Cultivares de Alface Em Função Da Idade de Colheita No Semiárido Potiguar, Brasil. Rev. Verde Agroecol. Desenvolv. Sustentável 2018, 13, 282. [Google Scholar] [CrossRef]
  3. Brzezinski, C.R.; Abati, J.; Geller, A.; Werner, F.; Zucareli, C. Produção de Cultivares de Alface Americana Sob Dois Sistemas de Cultivo. Rev. Ceres 2017, 64, 83–89. [Google Scholar] [CrossRef]
  4. Yavuz, D.; Seymen, M.; Kal, Ü.; Atakul, Z.; Tanrıverdi, Ö.B.; Türkmen, Ö.; Yavuz, N. Agronomic and Physio-Biochemical Responses of Lettuce to Exogenous Sodium Nitroprusside (SNP) Applied under Different Irrigation Regimes. Agric. Water Manag. 2023, 277, 108127. [Google Scholar] [CrossRef]
  5. Lajús, C.R.; da Luz, G.L.; da Silva, C.G.; Dalcanton, F.; Barichello, R.; Sauer, A.V.; Piaia, T.A.; Piva, A.J.D. Aspectos Qualitativos e Quantitativos de Variedades de Alface Submetidas a Concentrações de Pó de Rocha Em Cultivo Orgânico/Qualitative and Quantitative Aspects of Lettuce Varieties Submitted to Rock Powder Concentrations in Organic Cultivation. Braz. J. Dev. 2021, 7, 49489–49512. Available online: https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/29933 (accessed on 17 December 2024).
  6. Crusciol, C.A.C.; Soratto, R.P.; Gilabel, A.P.; da Costa, C.H.M.; de Campos, M.; Castro, G.S.A.; Ferrari Neto, J. Broadcast Application of Ground Silicate Rocks as Potassium Sources for Grain Crops. Pesqui. Agropecu. Bras. 2022, 57, e02443. [Google Scholar] [CrossRef]
  7. Conceição, L.T.; Silva, G.N.; Holsback, H.M.S.; de Figueiredo Oliveira, C.; Marcante, N.C.; de Souza Martins, É.; de Souza Santos, F.L.; Santos, E.F. Potential of Basalt Dust to Improve Soil Fertility and Crop Nutrition. J. Agric. Food Res. 2022, 10, 100443. [Google Scholar] [CrossRef]
  8. dos Santos, L.F.; Sodré, F.F.; de Souza Martins, É.; de Figueiredo, C.C.; Busato, J.G. Effects of Biotite Syenite on the Nutrient Levels and Electrical Charges in a Brazilian Savanna Ferralsol. Pesqui. Agropecu. Trop. 2021, 51, e66691. [Google Scholar] [CrossRef]
  9. Telles, T.S.; Filho, J.E.R.V.; Righetto, A.J.; Ribeiro, M.R. TD 2638—Desenvolvimento da Agricultura de Baixo Carbono no Brasil; Texto Para Discussão; Instituto de Pesquisa Econômica Aplicada (IPEA): Brasília, Brazil, 2021; pp. 1–41. [CrossRef]
  10. da Silva, D.W.; Canepelle, E.; Lanzanova, M.E.; Guerra, D.; Redin, M. Pó de Basalto Como Fertilizante Alternativo Na Cultura Do Feijão Preto Em Latossolo Vermelho. Rev. Verde Agroecol. Desenvolv. Sustentável 2020, 15, 373–378. [Google Scholar] [CrossRef]
  11. Ferrari Putti, F.; Cremasco, C.P.; Neto, A.B.; Barbosa, A.C.K.; da Silva Júnior, J.F.; dos Reis, A.R.; Góes, B.C.; Arruda, B.; Filho, L.R.A.G. Fuzzy Modeling Development for Lettuce Plants Irrigated with Magnetically Treated Water. Plants 2023, 12, 3811. [Google Scholar] [CrossRef]
  12. Martins, E.d.S.; Hardoim, P.R.; Martins, E.d.S. Efeito Da Aplicação Dos Remineralizadores No Solo. Inf. Agropec. 2023, 44, 49–56. [Google Scholar]
  13. Barros, J.A.S.; Cavalcante, M. O Uso Do Mulching No Cultivo de Alface: Uma Revisão de Literatura. Divers. J. 2021, 6, 3796–3810. [Google Scholar] [CrossRef]
  14. Jin, Q.; You, J.; Xie, M.; Qiu, Y.; Lei, S.; Ding, Q.; Chen, J. Drip Irrigation Reduced Fertilizer Nitrogen Loss from Lettuce Field—A Case Study Based on 15N Tracing Technique. Water 2022, 14, 675. [Google Scholar] [CrossRef]
  15. Maia, C.E.; da Silva Neto, J.M.; Braga, A.Q.C. Método Simplificado Para Estimativa Das Dimensões Do Bulbo Molhado Na Irrigação Por Gotejamento Superficial. Rev. Ibero-Am. Ciências Ambient. 2020, 11, 53–61. [Google Scholar] [CrossRef]
  16. Nawandar, N.K.; Satpute, V.R. IoT Based Low Cost and Intelligent Module for Smart Irrigation System. Comput. Electron. Agric. 2019, 162, 979–990. [Google Scholar] [CrossRef]
  17. Alvares, C.A.; Stape, J.L.; Sentelhas, P.C.; de Moraes Gonçalves, J.L.; Sparovek, G. Köppen’s Climate Classification Map for Brazil. Meteorol. Z. 2013, 22, 711–728. [Google Scholar] [CrossRef] [PubMed]
  18. SiBCS. Sistema Brasileiro de Classificação de Solos; Embrapa, S., Ed.; Embrapa Solos: Brasília, Brazil, 2018; ISBN 978-85-7035-198-2. [Google Scholar]
  19. Rezende, T.P.; Pelá, A.; Pelá, G.M. Uso de Pó de Basalto Como Alternativa Na Adubação Da Cultura Da Alface. Rev. Process. Quim. 2013, 7, 67–72. [Google Scholar] [CrossRef]
  20. Mantovani, E.C.; Mantovani, E.C.; Bernardo, S.; Palaretti, L.F. Irrigação: Princípios e Métodos; UFV: Viçosa, Brazil, 2007; ISBN 8572693068. [Google Scholar]
  21. Merriam, J.L.; Keller, J. Farm Irrigation System Evaluation: A Guide for Management; Utah State University: Logan, UT, USA, 1978. [Google Scholar]
  22. Santos, A.; Costa, A.; Silva, P.; Melo, N.; Araújo, H. Influência De Lâminas De Irrigação E Fontes De Nitrogênio No Crescimento Vegetativo Do Tomate Cereja Cultivado Em Ambiente Protegido. Encicl. Biosf. 2017, 14, 821–831. [Google Scholar] [CrossRef]
  23. Allen, R.G.; Pereira, L.S.; Raes, D.; Smith, M. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56; FAO: Rome, Italy, 1998; Volume 300, p. D05109. [Google Scholar]
  24. Doorenbos, J.; Pruitt, W.O.; Aboukhaled, A.; Damagnez, J.; Dastane, N.G.; Van Den Berg, C.; Rijtema, P.E.; Ashford, O.M.; Frere, M. Crop Water Requirements; FAO: Rome, Italy, 1977. [Google Scholar]
  25. Sentelhas, P.C.; Gillespie, T.J.; Santos, E.A. Evaluation of FAO Penman–Monteith and Alternative Methods for Estimating Reference Evapotranspiration with Missing Data in Southern Ontario, Canada. Agric. Water Manag. 2010, 97, 635–644. [Google Scholar] [CrossRef]
  26. Pereira, O.C.N.; Bertonha, A.; de Freitas, P.S.L.; Gonçalves, A.C.A.; Rezende, R.; da Silva, F.F. Produção de Alface Em Função de Água e de Nitrogênio. Acta Sci. Agron. 2003, 25, 381–386. [Google Scholar]
  27. R Core Team R: A Language and Environment for Statistical Computing. Available online: https://www.r-project.org/ (accessed on 6 February 2023).
  28. Kaiser, H.F. The Varimax Criterion for Analytic Rotation in Factor Analysis. Psychometrika 1958, 23, 187–200. [Google Scholar] [CrossRef]
  29. Michelon, N.; Pennisi, G.; Ohn Myint, N.; Orsini, F.; Gianquinto, G. Strategies for Improved Water Use Efficiency (WUE) of Field-Grown Lettuce (Lactuca sativa L.) under a Semi-Arid Climate. Agronomy 2020, 10, 668. [Google Scholar] [CrossRef]
  30. Walter, S.H.; Minuzzi, R.B.; Conceição, A.G. Temperatura Basal Inferior e Soma Térmica de Microverdes de Beterraba, Couve, Rúcula, Alface e Salsa. Braz. J. Anim. Environ. Res. 2024, 7, e72856. [Google Scholar] [CrossRef]
  31. Fernandes, G.S.T.; de Araujo Lima, E.; Alves, A.U.; Brito, V.A.; Soares, L.C. Condicionamento Agrometeorológico Em Cultivares de Alface. Rev. Bras. Meteorol. 2019, 34, 505–514. [Google Scholar] [CrossRef]
  32. Dalcin, G.; Piccoli, L.; Strassburger, A.S.; dos Santos Strassburger, K. Efeitos Da Aplicação Do Pó de Rocha Em Argissolo Sobre o Crescimento de Alface. In Proceedings of the XVIII Mostra de Iniciação Científica, Pós-graduação, Pesquisa e Extensão, Caxias do Sul, Brazil, 10 November 2018; pp. 1–9. [Google Scholar]
  33. Santana, J.; Nascimento, C.; Silva, C.; Silva, W.; Damascena, J. Resposta De Cultivares De Alface Sob Diferentes Lâminas De Irrigação E Doses De Nitrogênio. Encicl. Biosf. 2019, 16, 1332–1346. [Google Scholar] [CrossRef]
  34. Warrick, A.W.; Nielsen, D.R. Spatial Variability of Soil Physical Properties in the Field. In Applications of Soil Physics; Hillel, D., Ed.; Academic: New York, NY, USA, 1980; pp. 319–344. [Google Scholar]
  35. Magalhães, F.F.; Cunha, F.F.; Godoy, A.R.; Souza, E.J.; Silva, T.R. Produção de Cultivares de Alface Tipo Crespa Sob Diferentes Lâminas de Irrigação. Water Resour. Irrig. M. 2015, 4, 41–50. [Google Scholar] [CrossRef]
  36. Bozkurt, S.; Mansuroglu, G.S.; Kara, M.; Onder, S. Responses of Lettuce to Irrigation Levels and Nitrogen Forms. Afr. J. Agric. Res. 2009, 4, 1171–1177. [Google Scholar]
  37. da Silva, W.R.; Salomão, L.C.; Pereira, D.R.M.; de Oliveira, H.F.E.; de A Pereira, A.I.; Cantuario, F.S. Irrigation Levels and Use of Hydro Retainer Polymer in Greenhouse Lettuce Production. Rev. Bras. Eng. Agric. Ambient. 2019, 23, 406–412. [Google Scholar] [CrossRef]
  38. Schumacher, P.V.; Mota, J.H.; Yuri, J.E.; Resende, G.M. Competição de Cultivares de Alface Em Jataí-GO. Hortic. Bras. 2012, 30, S2727–S2731. [Google Scholar]
  39. Hou, M.; Zhang, H.; Shaghaleh, H.; Chen, J.; Zhong, F.; Alhaj Hamoud, Y.; Zhu, L. Optimization of a Lower Irrigation Limit for Lettuce Based on Comprehensive Evaluation: A Field Experiment. Plants 2024, 13, 853. [Google Scholar] [CrossRef]
  40. Talpur, M.M.A.; Shaghaleh, H.; Ali Adam Hamad, A.; Chang, T.; Zia-ur-Rehman, M.; Usman, M.; Alhaj Hamoud, Y. Effect of Planting Geometry on Growth, Water Productivity, and Fruit Quality of Tomatoes under Different Soil Moisture Regimes. Sustainability 2023, 15, 9526. [Google Scholar] [CrossRef]
  41. de Toledo Alvim, K.R.; de Brito, C.H.; Brandão, A.M.; Gomes, L.S.; Lopes, M.T.G. Quantificação Da Área Foliar e Efeito Da Desfolha Em Componentes de Produção de Milho. Cienc. Rural 2010, 40, 1017–1022. [Google Scholar] [CrossRef]
  42. Cahn, M.D.; Johnson, L.F.; Benzen, S.D. Evapotranspiration Based Irrigation Trials Examine Water Requirement, Nitrogen Use, and Yield of Romaine Lettuce in the Salinas Valley. Horticulturae 2022, 8, 857. [Google Scholar] [CrossRef]
  43. Abd–Elrahman, S.H.; Saudy, H.S.; El–Fattah, D.A.A.; Hashem, F.A. Effect of Irrigation Water and Organic Fertilizer on Reducing Nitrate Accumulation and Boosting Lettuce Productivity. J. Soil. Sci. Plant Nutr. 2022, 22, 2144–2155. [Google Scholar] [CrossRef]
  44. Shin, Y.K.; Bhandari, S.R.; Jo, J.S.; Song, J.W.; Lee, J.G. Effect of Drought Stress on Chlorophyll Fluorescence Parameters, Phytochemical Contents, and Antioxidant Activities in Lettuce Seedlings. Horticulturae 2021, 7, 238. [Google Scholar] [CrossRef]
  45. Silva, P.C.; Ferreira, A.F.A.; Araújo, E.S.; Bessa Neto, J.V.; da Costa, A.R.; dos Santos Fernandes, L.; Martins, A.A.S.; da Silva Cândido, R.; da Rosa Ferraz Jardim, A.M.; Pandorfi, H.; et al. Cherry Tomato Crop Management Under Irrigation Levels: Morphometric Characteristics and Their Relationship with Fruit Production and Quality. Gesunde Pflanz. 2023, 75, 1277–1288. [Google Scholar] [CrossRef]
  46. Machado, D.B.; Quaresma, I.V.R.; Soares, J.C.; Oliveira, I.A.; Freitas, L.; de Araújo, H.F.; de Macedo, A.R.; Campos, M.C.C.; dos Santos, R.V.; de Almeida, R.G. Desempenho Agronômico De Cultivares De Alface Em Casa De Vegetação No Município De Breves—PA. Rev. Valore 2023, 8, 103–112. [Google Scholar] [CrossRef]
  47. Wang, S.Y.; Galletta, G.J. Foliar Application of Potassium Silicate Induces Metabolic Changes in Strawberry Plants. J. Plant Nutr. 1998, 21, 157–167. [Google Scholar] [CrossRef]
  48. Maldaner, B.L.; Christh, W.R.A.; Klein, C. Efeito Do Uso De Pó De Basalto Na Cultura Da Alface. In Proceedings of the Seminário de Iniciação Científica e Seminário Integrado de Ensino, Pesquisa e Extensão (SIEPE), Joaçaba, Brazil, 19–23 October 2020; p. e24601. [Google Scholar]
  49. Augusto, J.; De Sena, J.O.A.; Hata, F.T.; Da Cunha, F.A.D.; Campos, T.A. Produção de Alface Americana Orgânica Sob Doses de Pó de Rocha Basáltica, Composto Orgânico e Microrganismos Eficientes. Agrarian 2022, 15, e15153. [Google Scholar] [CrossRef]
  50. Groth, M.Z.; Bellé, C.; Bernardi, D.; da Cunha Borges Filho, R. Pó-de-Basalto No Desenvolvimento de Plantas de Alface e Na Dinâmica Populacional de Insetos. Rev. Ciênc. Agrovet. 2018, 16, 433–440. [Google Scholar] [CrossRef]
  51. Arnott, A.; Galagedara, L.; Thomas, R.; Cheema, M.; Sobze, J.-M. The Potential of Rock Dust Nanoparticles to Improve Seed Germination and Seedling Vigor of Native Species: A Review. Sci. Total. Environ. 2021, 775, 145139. [Google Scholar] [CrossRef]
  52. Luise, L.K.; da Paz, S.P.A.; Rômulo, S.A.; Leonardo, F.V.; José, C.S.-S.; Giuliano, M.; de Souza Martins, É. Successive off Take of Elements by Maize Grown in Pure Basalt Powder. Afr. J. Agric. Res. 2020, 15, 229–239. [Google Scholar] [CrossRef]
  53. Li, J.; Mavrodi, D.V.; Dong, Y. Effect of Rock Dust-Amended Compost on the Soil Properties, Soil Microbial Activity, and Fruit Production in an Apple Orchard from the Jiangsu Province of China. Arch. Agron. Soil. Sci. 2021, 67, 1313–1326. [Google Scholar] [CrossRef]
  54. Capra, A.; Consoli, S.; Russo, A.; Scicolone, B. Integrated Agro-Economic Approach to Deficit Irrigation on Lettuce Crops in Sicily (Italy). J. Irrig. Drain. Eng. 2008, 134, 437–445. [Google Scholar] [CrossRef]
  55. Gallardo, M.; Jackson, L.E.; Schulbach, K.; Snyder, R.L.; Thompson, R.B.; Wyland, L.J. Production and Water Use in Lettuces under Variable Water Supply. Irrig. Sci. 1996, 16, 125–137. [Google Scholar] [CrossRef]
  56. Lima Junior, J.A.; Pereira, G.M.; Geisenhoff, L.O.; Vilas Boas, R.C.; da Silva, W.G.; Silva, A.L.P. Produtividade Da Alface Americana Submetida a Diferentes Lâminas de Irrigação. Semin. Cienc. Agrar. 2012, 33, 2681–2688. [Google Scholar] [CrossRef]
  57. De Lima Júnior, J.A.; Pereira, G.M.; Geisenhoff, L.O.; Costa, G.G.; Vilas Boas, R.C.; Yuri, J.E. Efeito Da Irrigação Sobre o Rendimento Produtivo Da Alface Americana, Em Cultivo Protegido. Rev. Bras. Eng. Agri. Ambient. 2010, 14, 797–803. [Google Scholar] [CrossRef]
Figure 1. Temperature and crop evapotranspiration inside the protected environment during the lettuce crop cycle.
Figure 1. Temperature and crop evapotranspiration inside the protected environment during the lettuce crop cycle.
Agriculture 15 00663 g001
Figure 2. Principal component analysis (PCA) of agronomic and production characteristics of lettuce crops subjected to rock powder rates of 6 (D1), 8 (D2), 10 (D3), and 12 (D4) t ha−1. Note: DF = degrees of freedom; PH = plant height (cm); SD = stem diameter (mm); NL = number of leaves; HD = head diameter (cm); TFW = total fresh weight (g plant−1); CFW = commercial fresh weight (g plant−1); LAI = leaf area index; ULA = useful leaf area; EY = estimated yield (kg ha−1); CLa = chlorophyll a; CLb = chlorophyll b; WUE = water use efficiency (kg ha−1 mm−1).
Figure 2. Principal component analysis (PCA) of agronomic and production characteristics of lettuce crops subjected to rock powder rates of 6 (D1), 8 (D2), 10 (D3), and 12 (D4) t ha−1. Note: DF = degrees of freedom; PH = plant height (cm); SD = stem diameter (mm); NL = number of leaves; HD = head diameter (cm); TFW = total fresh weight (g plant−1); CFW = commercial fresh weight (g plant−1); LAI = leaf area index; ULA = useful leaf area; EY = estimated yield (kg ha−1); CLa = chlorophyll a; CLb = chlorophyll b; WUE = water use efficiency (kg ha−1 mm−1).
Agriculture 15 00663 g002
Figure 3. Principal component analysis (PCA) of agronomic and production characteristics of lettuce crops subjected to irrigation water depths of 50%, 75%, 100%, and 125% ETc. Note: DF = degrees of freedom; PH = plant height (cm); SD = stem diameter (mm); NL = number of leaves; HD = head diameter (cm); TFW = total fresh weight (g plant−1); CFW = commercial fresh weight (g plant−1); LAI = leaf area index; ULA = useful leaf area; EY = estimated yield (kg ha−1); CLa = chlorophyll a; CLb = chlorophyll b; WUE = water use efficiency (kg ha−1 mm−1).
Figure 3. Principal component analysis (PCA) of agronomic and production characteristics of lettuce crops subjected to irrigation water depths of 50%, 75%, 100%, and 125% ETc. Note: DF = degrees of freedom; PH = plant height (cm); SD = stem diameter (mm); NL = number of leaves; HD = head diameter (cm); TFW = total fresh weight (g plant−1); CFW = commercial fresh weight (g plant−1); LAI = leaf area index; ULA = useful leaf area; EY = estimated yield (kg ha−1); CLa = chlorophyll a; CLb = chlorophyll b; WUE = water use efficiency (kg ha−1 mm−1).
Agriculture 15 00663 g003
Table 1. Results of the chemical and textural analyses of the soil (Typic Hapludox) used in the experiment.
Table 1. Results of the chemical and textural analyses of the soil (Typic Hapludox) used in the experiment.
pHP (Meh)KSCaMgAlCa + MgH + AlTCECOM
CaCl2mg dm−3cmolc dm−3g kg−1
4.91.514.04.22.00.30.14.22.60.044.9520.0
BSAS ClaySiltSand NaZnBCuFeMn
% g kg−1 mg dm−3
47.394.10 570120310 1.30.30.081.817.030.8
CEC: cation exchange capacity; OM: organic matter; BS: base saturation; AS: aluminum saturation; pH: hydrogen potential; P (meh): phosphorus (Mehlich); K: potassium; S: sulfur; Ca: calcium; Mg: magnesium; Al: aluminum; Ca + Mg: calcium plus magnesium; H + Al: hydrogen plus aluminum; T: cation exchange capacity; B: boron; Cu: copper; Fe: iron; Mn: manganese; Zn: zinc; Na: sodium.
Table 2. Result of quantitative mineralogical analysis of samples of the rock powder used in the experiment by Rietveld method.
Table 2. Result of quantitative mineralogical analysis of samples of the rock powder used in the experiment by Rietveld method.
Mineral%
Microcline0.56
Muscovite22.33
Chlorite—Clinochlore8.31
Biotite13.61
Quartz27.28
Oligoclase27.09
Table 3. Result of chemical analysis of samples of the rock powder used in the experiment.
Table 3. Result of chemical analysis of samples of the rock powder used in the experiment.
Minimum Detectable
Limit (ppm)
Elements
Analyzed
ppm
5Sc24
15V167
20Cr156
10Co19
10Ni64
15Cu59
20Zn117
5Ga25
10Rb86
20Sr153
15Y26
20Zr203
5Nb11
50Ba764
15La21
20Ce35
15Pb17
Table 4. Result of chemical analysis of oxides in the rock powder used in the experiment.
Table 4. Result of chemical analysis of oxides in the rock powder used in the experiment.
Oxides Analyzed%
SiO259.38
TiO20.92
Al2O317.20
Fe2O38.19
MgO4.15
CaO1.61
Na2O2.37
K2O3.13
P2O50.24
LOI (%)2.89
Sum (%)100.07
LOI = loss on ignition.
Table 5. Christiansen uniformity coefficient (CUC), Christiansen distribution uniformity coefficient (CUD) and application efficiency (AE), and classification of the irrigation system used in the experiment.
Table 5. Christiansen uniformity coefficient (CUC), Christiansen distribution uniformity coefficient (CUD) and application efficiency (AE), and classification of the irrigation system used in the experiment.
SystemCUC (%)CUD (%)AE (%)Classification
Drip100.097.9888.19Excellent
Table 6. Analysis of variance (ANOVA) based on the F-statistic for the effects of irrigation water depths (IWD), rock powder rates (RPR), and their interaction on the agronomic and production characteristics of lettuce crops.
Table 6. Analysis of variance (ANOVA) based on the F-statistic for the effects of irrigation water depths (IWD), rock powder rates (RPR), and their interaction on the agronomic and production characteristics of lettuce crops.
Source of VariationPHSDNLHDTFWCFW
IWD20.85 *13.06 * 22.76 *8.97 *13.84 *11.81 *
RPR2.15 ns0.17 ns2.749 ns0.81 ns2.25 ns2.47 ns
IWD × RPR1.06 ns0.82 ns0.89 ns1.25 ns0.81 ns0.50 ns
Block1.390.441.461.591.160.28
Error------
Total------
CV8.9712.418.258.5318.3320.22
Source of variationLAIULAEYCLaCLbWUE
IWD16.34 *16.34 *13.84 *252.91 *156.66 *21.90 *
RPR1.31 ns1.31 ns2.25 ns12.90 *13.14 *1.80 ns
IWD × RPR0.64 ns0.63 ns0.81 ns3.33 ns3.32 ns0.54 ns
Block0.010.011.163.313.671.47
Error- ----
Total- ----
CV12.6712.6718.333.687.5720.71
PH = plant height (cm); SD = stem diameter (mm); NL = number of leaves; HD = head diameter (cm); TFW = total fresh weight (g plant−1); CFW = commercial fresh weight (g plant−1); LAI = leaf area index; ULA = useful leaf area; EY = estimated yield (kg ha−1); CLa = chlorophyll a; CLb = chlorophyll b; WUE = water use efficiency (kg ha−1 mm−1). ns and * = not significant and significant at 1% by the F-test.
Table 7. Regression equations, coefficients of determination (R2), and overall mean and standard deviation (SD) for variables of lettuce crops as a function of irrigation water depths (% ETc).
Table 7. Regression equations, coefficients of determination (R2), and overall mean and standard deviation (SD) for variables of lettuce crops as a function of irrigation water depths (% ETc).
VariablesRegression EquationsR2Mean ± SD
PH (cm)Y = 0.0588 * X + 14.4420.894819.59 ± 2.50
SD (mm)Y = 0.351 * X + 7.7810.897710.85 ± 1.64
NLY = 0.0541 * X + 13.4620.952218.20 ± 2.19
HD (cm)Y = 0.0515 *X + 24.2680.818528.78 ± 2.94
TFW (g)Y = −0.00138 * X2 + 0.294X + 64.700.9901102.12 ± 24.06
CFW (g)Y = −0.00147 * X2 + 0.4721X + 66.280.993192.85 ± 12.84
LAIY = 0.7597 * X + 137.290.8827203.77 ± 33.13
ULAY = = 1.0176 * X + 182.660.8908271.69 ± 44.18
EY (kg ha−1) Y = −0.15286 * X2 + 32.743X + 7180.080.990111,334.88 ± 267.19
CLaY = 0.1072 * X + 14.770.960824.15 ± 3.32
CLbY = 0.0465 * X + 2.3980.96166.47 ± 1.51
WUE (kg ha−1 mm−1)Y = −0.283 * X + 64.670.893039.90 ± 3.41
PH = plant height; SD = stem diameter; NL = number of leaves; HD = head diameter; TFW = total fresh weight; CFW = commercial fresh weight; LAI = leaf area index; ULA = useful leaf area; EY = estimated yield; CLa = chlorophyll a; CLb = chlorophyll b; WUE = water use efficiency.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Silva, P.C.; Sabino, M.B.; Ferreira, M.B.; Sabino, N.C.O.; Sousa, L.S.; Elias, M.B.; Silva, A.d.B.; Ferreira, A.F.A.; Costa, A.R.d.; Delmond, J.G.; et al. Agronomic Effects of Different Rock Powder Rates Associated with Irrigation Water Depths: Potential for Lettuce (Lactuca sativa L.) Production. Agriculture 2025, 15, 663. https://doi.org/10.3390/agriculture15060663

AMA Style

Silva PC, Sabino MB, Ferreira MB, Sabino NCO, Sousa LS, Elias MB, Silva AdB, Ferreira AFA, Costa ARd, Delmond JG, et al. Agronomic Effects of Different Rock Powder Rates Associated with Irrigation Water Depths: Potential for Lettuce (Lactuca sativa L.) Production. Agriculture. 2025; 15(6):663. https://doi.org/10.3390/agriculture15060663

Chicago/Turabian Style

Silva, Patrícia Costa, Matheus Batista Sabino, Maria Beatriz Ferreira, Narla Costa Oliveira Sabino, Larissa Silva Sousa, Mariana Batista Elias, Amanda de Brito Silva, Ana Flávia Alves Ferreira, Adriana Rodolfo da Costa, Josué Gomes Delmond, and et al. 2025. "Agronomic Effects of Different Rock Powder Rates Associated with Irrigation Water Depths: Potential for Lettuce (Lactuca sativa L.) Production" Agriculture 15, no. 6: 663. https://doi.org/10.3390/agriculture15060663

APA Style

Silva, P. C., Sabino, M. B., Ferreira, M. B., Sabino, N. C. O., Sousa, L. S., Elias, M. B., Silva, A. d. B., Ferreira, A. F. A., Costa, A. R. d., Delmond, J. G., Silva, J. L. B. d., Oliveira, H. F. E. d., Silva, T. G. F. d., & Silva, M. V. d. (2025). Agronomic Effects of Different Rock Powder Rates Associated with Irrigation Water Depths: Potential for Lettuce (Lactuca sativa L.) Production. Agriculture, 15(6), 663. https://doi.org/10.3390/agriculture15060663

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop