DOI: https://doi.org/10.29312/remexca.v16i7.3860

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Moran-Sánchez, Olvera-Hernández, Aceves-Ruiz, Guerrero-Rodríguez, Hernández-Salgado, and Álvarez-Calderón: Residual soil due to extraction for brick and corn productivity

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Journal Title (Full): Revista Mexicana de Ciencias Agrícolas

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ISSN: 2007-0934 [pub-type=ppub]

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Abstract

Title: Abstract

The extraction of large volumes of soil from agricultural land can have implications for crop production. The objective was to determine the area of agricultural land affected by the extraction of soil for brick manufacturing, the volume extracted, and the effect it has on corn yield in the locality of Santa María Zacatepec, Puebla, in 2022. To do this, plots were georeferenced and the volume extracted and income from sale were calculated; three sites were selected, one undisturbed (Undsoil), another that has undergone soil extraction for more than 12 years (Soildis12), and one that has undergone recent extraction (Soilrecdis) to evaluate the effect on corn yield. All the three sites were planted with the HS-2 corn hybrid to evaluate the response to the factors N, P2O5, K2O and population density integrated into a central composite, rotatable matrix with almost homogeneous information. In the locality, 25.2% of the area has been affected by soil extraction; on average, 33 354.4 m3 ha-1 is extracted, which generates a net income of 555 918.30 $ ha-1. Corn yield decreased by 79.1% in the remaining soil, with a loss of 52.20 cents per peso invested. The results show that it is possible to recover soils affected by extraction by applying organic matter.

Keyword Group [xml:lang=en]

Title: Keywords:

Keyword: brick manufacturing

Keyword: soil degradation

Keyword: soil loss

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Table Count [count=7]

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Reference Count [count=25]

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Abstract

The extraction of large volumes of soil from agricultural land can have implications for crop production. The objective was to determine the area of agricultural land affected by the extraction of soil for brick manufacturing, the volume extracted, and the effect it has on corn yield in the locality of Santa María Zacatepec, Puebla, in 2022. To do this, plots were georeferenced and the volume extracted and income from sale were calculated; three sites were selected, one undisturbed (Undsoil), another that has undergone soil extraction for more than 12 years (Soildis12), and one that has undergone recent extraction (Soilrecdis) to evaluate the effect on corn yield. All the three sites were planted with the HS-2 corn hybrid to evaluate the response to the factors N, P2O5, K2O and population density integrated into a central composite, rotatable matrix with almost homogeneous information. In the locality, 25.2% of the area has been affected by soil extraction; on average, 33 354.4 m3 ha-1 is extracted, which generates a net income of 555 918.30 $ ha-1. Corn yield decreased by 79.1% in the remaining soil, with a loss of 52.20 cents per peso invested. The results show that it is possible to recover soils affected by extraction by applying organic matter.

Keywords

brick manufacturing, soil degradation, soil loss.

Introduction

Soil is one of the most important resources for the production of any crop; its degradation affects productivity. The brick-manufacturing industry extracts large volumes of agricultural land, which impacts agricultural production (Das, 2015; Islam et al ., 2017). In Mexico, this phenomenon prevails in brick-producing areas, such as the state of Puebla, where there are approximately 4 500 kilns for brick production that demand a large amount of land (INECC, 2016, 2018). The brick-manufacturing industry is located in the Puebla-San Martín Texmelucan corridor, has contributed to the family economy since pre-Hispanic times (Shadow, 1992), and currently supports a large number of families in rural localities (Ortiz et al ., 2020).

The soils used for brick manufacturing are good quality lands for agricultural activity; according to Bahena-Martínez et al . (2019), the extraction of soil for brick production leaves infertile land, with no value for agricultural production. In this corridor, the main crop is corn, the profitability of which is low due to high production costs (Alvarado et al ., 2018). The low profitability of crops has caused producers to look for other alternatives to obtain income, one of them is to sell the soil for brick manufacturing, affecting agricultural production. In the study region, there is not enough information on the affected area and the effect soil extraction has on agricultural activity, specifically on corn production.

The research aimed to determine the area of agricultural land affected by the extraction of soil for brick manufacturing, the volume extracted, and the effect it has on corn yield, as well as to determine the feasibility of recovering the affected soils in the locality of Santa María Zacatepec, Puebla, located in the Puebla-San Martin corridor.

Materials and methods

The study was conducted in 2022 in the locality of Santa María Zacatepec, municipality of Juan C. Bonilla, Puebla, located at 19°06’ north latitude and 98° 20’ west longitude at 2 180 masl. The research was developed in two stages; in the first, the affected area and volume of soil extracted were evaluated, and all the farms were georeferenced (Garmin eTrex Venture GPS). The depth was measured with a level staff and the internal contour of the perimeter was followed at each excavated site. The information obtained was interpreted with the Arc View 3.3 software, vector chart E14B42, orthophotos E14B42C and F from 1993, and the geographical synthesis of the state of Puebla in digital format.

In the second stage, three experiments were established under rainfed conditions; one in a soil that has undergone recent extraction (Soilrecdis), another in a soil that has undergone extraction for more than 12 years, has been sown each year, and has received bovine manure (Soildis12), and the third in a soil without extraction (Undsoil). In the experiments, corn (HS-2 hybrid) was planted to explore the factors N, P2O5, K2O and population density (PD). The exploration levels were: from 100 to 180 kg for N, from 20 to 100 kg for P2O5, from 0 to 80 kg for K2O and PD of 40 and 80 000 plants ha-1.

The fertilization sources used were Urea (46% of N), Diammonium phosphate (18% of N plus 46% of P2O5) and Potassium chloride (60% of K2O). One third of the N, all phosphorus, and all potassium were applied at sowing; the remaining N was applied 50 days after sowing. The fertilization and population density treatments were integrated into a central composite, rotatable matrix with almost homogeneous information, divided into thirds (Cochran and Cox, 1957). The experimental unit consisted of four furrows six meters long and 0.9 m wide. Harvesting was done manually, including plants with full competence in the two central rows of each experimental unit.

Per experiment, a soil sample was taken from the first 30 cm deep, which was formed by 15 subsamples; each sample was subjected to the determination of extractable phosphorus (P) by the Bray-1 method; exchangeable potassium (K), calcium (Ca) and magnesium (Mg) by the Peech-Morgan method; organic matter by the modified Walkley and Black wet combustion method; pH in a soil-to-water ratio of 1:2; percentage of sand (San), silt (Sil) and clay (Cla) by the hydrometer method modified by Day and bulk density.

The yields by experimental site were analyzed by regression with the maximum increase of R (MAXR) procedure of SAS, considering the general quadratic model as a basis. With the equations obtained by experimental site, the optimal economic treatment for unlimited capital and the maximum yield were estimated, with the costs shown in Tables 1, 2 and 3.

Table 1

Table 1. Costs of inputs used in the soil study to determine extraction and corn productivity.

Item Nitrogen P2O5 K2O $ of 1 000 seeds
($ kg-1)
Amount 26.09 36.96 28.17 26.67
Transport 0.40 0.40 0.40 0.01
Application or sowing 1.16 1.16 1.16 7.50
Capital cost 6.76 9.41 7.22 8.35
Net cost 34.40 47.93 36.78 42.53
Table 2

Table 2. Price of corn grain and cost of harvesting used in the soil study to determine extraction and corn productivity.

Item ($ t-1) Capital cost ($) Net cost ($)
Market price 6 278 - -
"Mowing, harvesting and sacking" 625 49.70 674.70
Shelling 150 11.93 161.93
Transport to the house 120 9.543 129.54
Transport to the market 160 12.72 172.72
Table 3

Table 3. Fixed costs and corn production used in the soil study to determine extraction and corn productivity.

Item ($ ha-1) Capital cost ($) Net cost ($)
Fallowing cost 2 000 488.79 2 488.79
Harrowing cost 1 400 342.13 1 742.13
Task cost 1 400 342.13 1 742.13
Cost of pesticides and application 2 200 537.63 2 737.63

Results and discussion

Soil use and analysis

The locality possesses 1 512 485 ha, 22% under urban use, and the rest (78%) is occupied by agricultural activity, of which 228.8 ha is ejido land and 948.7 ha is private property (Figure 1).

Figure 1

Figure 1. Land tenure and type of property of the locality of Santa María Zacatepec, municipality of Juan C. Bonilla, Puebla.

2007-0934-remexca-16-07-e3860-gf1.png

The locality’ soils are considered very productive (CIMMYT, 1974), they are Fluvisols and Regosols with characteristics suitable for brink manufacturing (FAO/UNESCO, 1988). Gupta and Narayan (2010); Das (2015) mention that the production of red brick requires soils with a clayey, silty texture and loam, clayey loam, or silty loam soil, characteristics similar to the soils of the study locality. Table 4 shows the physical and chemical characteristics of the experimental soils; the soils disturbed by extraction experienced a decrease of 69.7, 84, 66.6 and 29% in Mg, K, P, and organic matter (OM), respectively, between Undsoil and Soilrecdis; in contrast, between Undsoil and Soildis12, the decrease was 68.2, 90.6 and 12.6% in Mg, K, and P, respectively, but the OM increased by 55.8% due to the addition of manure that the producer made year after year.

Table 4

Table 4. Chemical and physical properties of the soils of the experimental sites.

Site pH BD (g cm-3) Ca (Cmol(+) kg-1) Mg (Cmol(+) kg-1) K Cmol(+) kg-1) OM (%) P (mg kg-1) San (%) Sil (%) Cla (%)
Soilrecdis 7.21 1.31 10.27 1.14 0.68 0.36 2.56 53.12 26.75 20.13
Soildis12 6.32 1.24 7.85 1.13 0.4 0.79 6.7 55.62 19.98 24.4
Undsoil 6.28 1.19 4.3 3.55 4.26 0.507 7.67 57.21 17.18 25.61

[i] BD= bulk density; OM= organic matter.

For calcium, bulk density, and pH, the values were higher in the disturbed soils. In this regard, Khan et al . (2007); Siddique et al . (2014); Das (2015) point out that physicochemical properties, fertility, soil biota, and productivity are altered when soil is extracted for brick manufacturing.

Soil extraction

Soil extraction (12 687 223 m3) in Santa María Zacatepec has affected 380 376 ha (25.2% of the total area); 99% of the area is private property. The volume of extraction varies by farm, depending on the economic needs of the producer or the conditions of the land. The extraction depth ranges from one to seven meters, with a predominance of 4, 5 and 3 m strata, covering 77.1% of the affected area. On average, 33 354.4 m3 ha-1 has been extracted, which has generated a net income of 555 918.30 $ ha-1, which can be attractive for the producer, since once the soil is extracted, they keep the land and continue cultivating it and others abandon it (most of the producers), waiting for the opportunity to sell it. Bahena-Martínez (2019) reports an extraction of 21 384 000 t of soil per year to produce 7 128 000 bricks in Coyuca de Benítez, Guerrero.

Low crop production is the main reason for extracting the soil. On the other hand, young people who have inherited the land sell it, they temporarily migrate to other states and abroad (García and Núñez, 2007). Biswas et al . (2018) found that producers sell soil for brick manufacturing due to economic difficulties. In the locality, in the soils that have undergone extraction and are not cultivated, weeds grow, and garbage and/or rubble is deposited; this coincides with Barrow (1991), who pointed out that the soils that have been subject to extraction for bricks are abandoned and waste is deposited in them.

Effect on soil productivity

The undisturbed land (Undsoil) exceeded the corn grain yield of the soil that has undergone recent extraction (Soilrecdis) by 79.1% and that of the soil that has been subject to extraction for more than 12 years (Soildis12) by 20.4% (Figure 2). It is important to note that, as Zhang and Fang (2007) indicate, when topsoil is removed for brick manufacturing, crop productivity decreases.

Figure 2

Figure 2. Average yield of corn grain by experimental site.

2007-0934-remexca-16-07-e3860-gf2.png

On the other hand, it is inferred that, with the addition of manure, the productive capacity of the lands where soil has been extracted can be recovered, as happened at the Soildis12 site, where the corn yield was less affected than in the Soilrecdis. In this regard, by adding organic matter to the soil, Crespo (2009) recovered the physical, chemical, and biological properties of soils. The regression equations for grain yield by experimental site obtained with the MAXR procedure of SAS are shown in Table 5.

Table 5

Table 5. Functions of grain yield response to study factors by experiment.

Experiment Model MSE R2 Prob>F
Soilrecdis Y=1171.05556+26.79167n-25.7083p+41.875np+47.0nk +21.0625nd-39.125pd-27.875npk-34.438nkd-49.847n2-46.4097p2-49.597k2-39.347d2 9 826.389 0.6432 <0.0001
Soildis12 Y=5344.889+323.521n-150.896k-,279.531np-8.593nk+174.031kd,-105.843nkd-422.3n2-84.363p2-,142.738k2-97.613d2 235 303 0.7201 <0.0001
Undsoil Y=7009.722+347.1796n-224.0129p-167.679d-173.106nk-311.606nd-124.0194pk-148.768pd-281.956kd-154.393pkd-195.079n2-423.829p2-351.329k2-449.517d2 194 919 0.8499 <0.0001

[i] MSE= mean square of the error of the regression model, n= (N-140)/40; p= (P-80)/40; k= (K-60)/30; d= (PD-50)/10.

The regression models (Table 5) explain 64.3, 72 and 85% of the variation in grain yield for Soilrecdis, Soildis12 and Undsoil, respectively. It can be estimated that when the variables n, p, k, and d take values of zero, a corn grain yield of 1 171, 5 344.5 and 7 009.7 kg ha-1 is obtained in Soilrecdis, Soildis12, and Undsoil, respectively. This indicates low soil productivity due to loss of nutrients such as potassium, phosphorus and organic matter (Table 4). Cotler et al . (2020) found that, by degrading the top layer of agricultural soils, up to 81% of corn production is lost.

The optimal economic treatment (OET) was 63.6 and 44.8 cents per peso invested in corn production in Undsoil and Soildis12, respectively (Table 6); for Soilrecdis, 52.2 cents per peso invested was lost. In Soilrecdis, there was a decrease of 5 938 t ha-1 of corn and when applying the costs of the OET in Undsoil, 25 869.00 $ ha-1 year-1 was lost. Biswas et al . (2018) found a 40-80% reduction in crop production, and 40-70% reduction in income due to soil extraction for brick manufacturing in Bangladesh.

Table 6

Table 6. Optimal economic treatments (N-P2O5-K2O-PD), expected grain yields, net income, and benefit-cost ratio (B/C) of corn grain by experimental site.

Site n p k pd N P K PD Y NI B/C
Soilrecdis -2 -2 -0.2 -1.7 100 20 0 43 1 223 -8 384 -0.52
Soildis12 0 -0.3 -0.2 -0.2 140 54 0 40 5 346.8 10 388.2 0.44
Undsoil 0.8 -0.5 -0.4 -0.5 156 50 32 55 7 161 17 483.8 0.63

[i] n, p, k, pd= variables encoded for N, P, K, PD; Y= yield; NI= net income.

The maximum yields are presented in Table 7. It was estimated that 349 and 495% higher grain yields were obtained in Soildis12 and Undsoil, respectively, compared to Soilrecdis.

Table 7

Table 7. Maximum expected corn grain yields, fertilization treatments (N-P2O5-K2O-PD), net income, and benefit-cost ratio (B/C) by experimental site.

Site n p k pd N P K PD Y NI B/C
Soilrecdis -2 -1.8 -2 -1.4 100 24 0 46 1 231.2 -8 607.6 -0.527
Soildis12 0.5 -0.2 -1 -0.6 150 56 20 54 5 523.6 9 552.8 0.38
Undsoil 1.4 -0.2 -0.1 -0.6 168 56 38 54 7 327.1 17 536.7 0.616

[i] n, p, k, pd= variables encoded for N, P, K, PD; Y= yield; NI= net income.

The maximum yield in Soilrecdis is very close to or at the lowest evaluated level of each factor, despite the fact that there are higher levels, perhaps due to the physical, chemical, and biological conditions of the land where the upper layers of soil have been extracted, which have been greatly disturbed (Andraski and Lower, 1992; Lal, 2008), which causes loss of nutrients and they are not used by the crop, which reduces yield (Pimentel, 2006; Bullock et al ., 2017). Although the land produces food for the family’s diet, it is more attractive for the producer to sell the soil for brick production since they obtain 555 918 $ ha-1 on average.

The producers who sell the soil for brick manufacturing are mainly engaged in selling labor in local factories. The producer, through the sale of soil, temporarily resolves an economic situation, but if there is no reconversion of production, they will have a sterile soil that cannot be used for agricultural activities. Soil degradation has led to a decrease in the productivity of crops and has increased production costs due to higher nutrient requirements, as Huitzhusen (1993) points out.

The results obtained show that, in part, it is feasible to recover the soils affected by extraction by adding organic matter and it is suggested to implement a soil recovery program to reintegrate them into agricultural activity, in addition to finding other alternatives for brick manufacturing.

Conclusions

Soil extraction affects good quality agricultural land allocated to production in the locality of Santa María Zacatepec, Puebla, and reduces the yield of corn grain, which can continue to lead to low profitability in the crop. It is feasible to recover the soils affected by extraction for brick manufacturing by adding organic matter.

Bibliography

1 

Alvarado, T. R.; Aceves, R. E.; Guerrero, R. J. D.; Olvera, H. J. I.; Bustamante, G. A.; Vargas, L. S. y Hernández, S. J. H. 2018. Respuesta de variedades de maíz (Zea mays L.) a diferentes fuentes de fertilización en el Valle de Puebla. Terra Latinoamericana. 1(36):49-59. Doi: https://doi.org/10.28940/terra.v36i1.309.

2 

Andraski, B. J. and Lowery, B. 1992. Erosion effects on soil water storage, plant water uptake, and corn growth. Soil Science Society of American Journal. 6(56):1911-1919.

3 

Bahena-Martínez, F. N.; Corral-Avitia, A. Y.; Juárez-López, A. L.; Rosas-Acevedo, J. L.; Reyes-Umaña, M. y Bedolla-Solano, R. 2019. Estudio socioambiental del sector ladrillero artesanal en el municipio de Coyuca de Benítez, Guerrero. Ciencia en la Frontera. 1(16):7-19.

4 

Barrow, C. J. 1991. Land degradation, development and breakdown of terrestrial enviroments. Cambridge and New York. 1-12 pp.

5 

Biswas, D.; Gurley, E. S.; Rutherford, S. and Luby, S. P. 2018. The drivers and impacts of selling soil for brick making in Bangladesh. Environmental Management. 62(4):792-802. https://doi.org/10.1007/s00267-018-1072-z.

6 

Bullock, J. M.; Dhanjal ‐ Adams, K. L.; Milne, A.; Oliver, T. H.; Todman, L. C.; Whitmore, A. P. y Pywell, R. F. 2017. Resilience and food security: rethinking an ecological concept. Journal of Ecology. 4(105):880-884. https://doi.org/10.1111/1365-2745.12791.

7 

CIMMYT. 1974. Centro Internacional de Mejoramiento Maíz y Trigo. El Plan Puebla: siete años de experiencia:1967-1973: análisis de un programa para ayudar a agricultores minifundistas de subsistencia a aumentar su producción en una región temporal de México. El Batán, México. 2-4 pp.

8 

Cochran, W. G. y Cox, G. M. 1957. Experimental designs. 2nd Edition. John Wiley and Sons. New York. 372-415 pp.

9 

Cotler, H.; Corona, J. A. y Galeana-Pizaña, J. M. 2020. Erosión de suelos y carencia alimentaria en México: una primera aproximación. Investigaciones geográficas. 101(1):1-14. Doi: dx.doi.org/10.14350/rig.59976.

10 

Crespo, G. 2009. Recuperación de la fertilidad del suelo en áreas ganaderas degradadas. Revista Cubana de Ciencia Agrícola. 43(4):355-360.

11 

Das, R. 2015. Causes and consequences of land degradation in and around the brick kilns of khejuri cd blocks over coastal medinipur in west bengal. International Journal of Innovative Research and Development (IJIRD). 4(2):185-194.

12 

FAO-UNESCO. 1988. World soil resources report 60. FAO-UNESCO, ISRIC: Roma, Italia. 48-50 pp.

13 

García, V. H. y Nuñez, H. R. 2007. Las mujeres de Zacatepec: una realidad encubierta por la migración. Ra Ximhai. 1(3):177-193.

14 

Gupta, S. and Narayan, R. 2010. Brick kiln industry in long-term impacts biomass and diversity structure of plant communities. Current Science. 99(1):72-79.

15 

Huitzhusen, F. J. 1993. Land degradation and sustainability of agricultural growth: some economic concepts and evidence from selected developing countries. Agriculture Ecosystems Environment. 1-4(46):69-79. https://doi.org/10.1016/0167-8809(93)90014-G.

16 

INECC. 2016. Instituto Nacional de Ecología y Cambio Climático. Análisis de mercado del sector de la construcción y proyecto piloto a nivel región, basado en un portafolio de políticas públicas, con el objetivo de reducir los contaminantes climáticos de vida corta (CCVC) de ladrilleras artesanales en México. Informe final. INECC. México. 10-14 pp.

17 

INECC. 2018. Instituto Nacional de Ecología y Cambio Climático. Estudio para desarrollar un modelo de negocio piloto en ladrilleras artesanales, para reducir emisiones de contaminantes climáticos de vida corta y gases de efecto invernadero, así como mejorar la calidad de vida de los actores clave. Informe final. INECC. México. 36-45 pp.

18 

Islam, S.; Nasrin, N. S.; Akteri, D.; Humayun, M. D. and Delowar, K. M. 2017. Impacts of brick manufacturing on agricultural land at Tangail, región of Bangladesh. Journal of Science and Technology. 1-2(7):117-126.

19 

Khan, H. R.; Rahman, K.; Abdur, A. J. M.; Sattar, G. S.; Oki, Y. and Adachi, T. 2007. Assessment of degradation of agricultural soils arising from brick burning in selected soil profiles. International Journal of Environmental Science and Technology. 4(4):471-480.

20 

Lal, R. 2008. Soils and sustainable agriculture. A review. Agronomy, Sustainability and Development. 28(1):57-64. https://link.springer.com/article/10.1051/agro:2007025.

21 

Ortiz, L. A.; Aguilar, A. E. y Ramos, R. O. 2020. Caracterización del sector ladrillero en Puebla, México: producción, comercialización, pobreza y territorio. Textual. 75(1):243-269. https://doi10.5154/r.textual.2020.75.12.

22 

Pimentel, D. 2006. Soil Erosion: Food and Environmental Threat. Environment, Development and Sustainability. 1(8):119-137.

23 

Shadow, R. D. y Rodríguez-Shadow, M. J. 1992. Las ladrilleras de Cholula: características demográficas y organización socioeconómica. Alteridades. 3(2):62-77.

24 

Siddique, M. N.; Halim, A.; Kamaruzzaman, M.; Karim D. and Sultana, J. 2014. Comparative insights for investigation of soil fertility degradation in a piedmont area, which cover the anjamkhor union of baliadangi upazila, thakurgoan, bangladesh. IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT). 4(8):82-87. https://doi.org/10.9790/2402-08428287.

25 

Zhang, M. K. and Fang, L. P. 2007. Effect of tillage, fertilizer and green manure cropping on soil quality at an abandoned brick making site. Soil and Tillage Research 1(93):87-93. https://doi.org/10.1016/j.still.2006.03.016.