Next Article in Journal
Valorization of Orange Peels as a Source of Pectins
Previous Article in Journal
Microwave-Assisted Synthesis of Aryl Phosphonates and Tertiary Phosphine Oxides by the Hirao Reaction
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

Soil Characterization for Production of an Industrial Tomato Variety in South Portugal—A Case Study †

by
Ana Rita F. Coelho
1,2,*,
Ana Coelho Marques
1,2,
Cláudia Campos Pessoa
1,2,
Diana Daccak
1,2,
Inês Carmo Luís
1,2,
Maria Manuela Silva
2,3,
Manuela Simões
1,2,
Fernando H. Reboredo
1,2,
Maria F. Pessoa
1,2,
Paulo Legoinha
1,2,
José C. Ramalho
2,4,
Paula Scotti Campos
2,5,
Isabel P. Pais
2,5,
José N. Semedo
2,5 and
Fernando C. Lidon
1,2
1
Earth Sciences Department, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
2
GeoBioTec Research Center, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
3
ESEAG-COFAC, Avenida do Campo Grande 376, 1749-024 Lisboa, Portugal
4
PlantStress & Biodiversity Lab, Centro de Estudos Florestais (CEF), Instituto Superior Agronomia (ISA), Universidade de Lisboa (ULisboa), Quinta do Marquês, Av. República, 2784-505 Lisboa, Portugal
5
INIAV, Instituto Nacional de Investigação Agrária e Veterinária, 2784-505 Oeiras, Portugal
*
Author to whom correspondence should be addressed.
Presented at the 1st International Online Conference on Agriculture—Advances in Agricultural Science and Technology (IOCAG2022), 10–25 February 2022; Available online: https://iocag2022.sciforum.net/.
Chem. Proc. 2022, 10(1), 48; https://doi.org/10.3390/IOCAG2022-12226
Published: 10 February 2022

Abstract

:
Appropriate soil conditions are important for the success of culturing tomatoes. In fact, there are mineral elements that are essential for the good and healthy development of tomatoes, namely, nitrogen, phosphorus, potassium, calcium, magnesium, sulfur, iron, and zinc. Additionally, organic matter and pH play important parts in the process. In this context, this study aimed to characterize a soil destined to produce an industrial tomato variety in South Portugal. As such, mineral elements content, pH, electrical conductivity, humidity, organic matter, and color (without humidity and without humidity and organic matter) were analyzed in 16 soil samples before any type of soil preparation was carried out. Through principal components analysis (PCA), it was possible to observe that electrical conductivity and humidity are more correlated with each other than pH and organic matter. However, the pH of soil varied between 6.9 (minimum) and 7.3 (maximum): in accordance with the ideal range values for tomato production. Additionally, regarding quantification of mineral elements, Fe showed a higher content, followed by K, Ca, P, Mg, S, Zn, and As. However, regarding the color of the soil without humidity and without humidity and organic matter, there were significant differences between CieLab parameters (L, Chroma, and Hue). Nevertheless, soil conditions of the field presented good requirements for tomato production, despite the higher levels of Fe in the soil and the presence of As.

1. Introduction

Conditions of soil are a very important factor in the success of tomatoes culture. This culture grows well on most soils but prefers deep, well-drained, sandy loam soils, which are moderately tolerant regarding pH [1]. Soil chemicals (namely pH) and physical properties can influence water and mineral uptake by plants and therefore can influence the nutritional content of tomatoes [2]. For plant growth, there are twelve mineral elements essentials and most of them come from soil (namely nitrogen, phosphorus, potassium, calcium, magnesium, sulfur, iron, and zinc) [3,4]. Without these essential mineral elements, tomatoes cannot grow properly [3]. Each mineral element varies according to its mobility within the plant and every crop has different needs [3]. For instance, N, P, K, Ca, Mg, and S are needed in large quantities for good crop production, and Fe and Zn are needed in lower quantities. Additionally, if the soil cannot provide adequate amounts of N, P, and K, then there is a need for soil fertilization to lead to good crop production [4]. Additionally, the organic matter of soil is related to crop nutrient composition [5], and pH can affect plant growth and influence different soil properties (namely nutrient absorption) [6]. In addition to organic matter content and pH, the electrical conductivity of soil is related to crop productivity [5,6,7,8]. Regarding soil moisture (or the humidity of soil), a study carried out in [9] showed that soil moisture deficiency can affect tomato yield. Additionally, the color of soil is one of the most significant characteristics and can indicate erosion or excess of salinity [10].

2. Materials and Methods

2.1. Experimental Fields

This study focused on the characterization of soil from one experimental field, located in São João de Negrilhos (Aljustrel)—South Portugal (GPS coordinates: 37.948157, −8.173834)—intended to produce an industrial tomato variety (H1534). The location of the field is shown in Figure 1.

2.2. Soil Analysis

In the experimental field (about 750 m2) intended for tomato production, 16 soil samples (100 g, picked up at 30 cm depth) were collected in a hexagonal grid, for physical and chemical analysis, before any type of soil preparation was carried out. Soil samples were sieved (using a 2.0 mm nylon sieve) to remove stones and other debris before analysis. Mineral content in soils were determined, following [11], using a XRF analyzer (model XL3t 950 He GOLDD+) under helium atmosphere. Additionally, pH and electrical conductivity were carried out following [12], where we determined these parameters in the decanted supernatant of a mixture (ratio 1:2.5 g soil mL−1 water milli-q) for 1 h with tiring (25 °C for 30 min) in a thermal bath. Humidity (also known as soil moisture) and organic matter were carried out following [13]. Colorimetric parameters of soil were carried out after the remotion of humidity and after the remotion of humidity and organic matter, following [14].

2.3. Statistical Analysis

Data normality and homogeneity of variance was carried out. The principal component analysis was performed on the correlation matrix and the first two components were retained and rotated using a Varimax rotation.
Additionally, data were statistically analyzed using a one-way ANOVA to assess the differences among the different types of soil (without humidity and without humidity and organic matter), followed by Tukey’s test for mean comparison. A 95% confidence level was adopted for all tests.

3. Results

Regarding pH, organic matter content, electrical conductivity (named conductivity in Figure 2A), and humidity of soil samples (Figure 2A,B), through principal component analysis (PCA) it was possible to identify that the interrelations among the parameters are explained in the projections of components 1 and 2. Considering the F1/F2 factorial plane (component 1/component 2), there is a greater correlation between electrical conductivity and humidity (Figure 2A) with a correlation matrix of 0.709 (Figure 2B). Additionally, through Pearson’s correlation, we can also observe that both parameters have the highest correlation value (0.834) (Figure 2C). Considering the pH and the organic matter, they are close to the origin according to F1 (but not close to the origin in F2), as such, the variability of both parameters is better explained by F2 than by F1. In the organic matter parameter, there is a greater correlation between humidity and conductivity than with pH (Figure 2B,C). The pH is the parameter with the lowest correlation between the remaining parameters analyzed (Figure 2A–C). Additionally, the pH of soil varied between 6.9 (minimum) and 7.3 (maximum) (data not shown).
The mineral content of the soil was assessed (Figure 3A–C) and Fe showed the highest content, followed by K, Ca, P, and Mg. Sulfur, Zn, and As were the mineral elements presented in lower concentrations in the soil samples, with As as a contaminating mineral element.
Colorimetric parameters were assessed in soil without humidity and without humidity and organic matter (Table 1). L and Chroma showed significantly higher values, and the Hue parameter showed significantly lower content in the soil samples without humidity compared with soil samples without humidity and organic matter.

4. Discussion

Considering the importance of soil chemical and physical properties that can affect water and mineral uptake by plants [2], soil chemical characteristics were assessed. Regarding pH, organic matter content, electrical conductivity, and humidity (or moisture) of soil samples (Figure 2), it was possible to identify that they correlated differently. In fact, electrical conductivity and humidity showed a greater correlation between each other. This correlation can be due to electrical conductivity being influenced by different properties—namely, clay content and soil water content [15]—since the range of values was very different between both parameters (humidity showed values between 10 and 19.8% and electrical conductivity varied between 134 and 244 µS.cm−1—data not shown). Additionally, tomato plants are moderately sensitive to soil salts [16] and the values obtained for electrical conductivity of soil showed much lower values than the threshold of tolerance of tomato crops [17], indicating suitability for tomatoes production. Additionally, the pH of the soil is in accordance with the ideal range for tomatoes production [1]. Regarding macro and micro elements of soil, Fe showed a higher content, followed by K, Ca, P, Mg, S, Zn, and As (Figure 3). For instance, despite Fe being needed in fewer quantities for good crop production [4], the high content obtained in the soil—mapped as Luvisol (WRSDB, 2009) with the code “Pag”—is due to the pedogenesis that occurred on sands and gravels with reddish-brown clayey intercalations, containing abundant ferruginous pisoliths and ferromanganese and limonitic impregnations and crusts, of the Plio-Pleistocene (PQ) and Miocene (M) geological units [18]. As such, the color of the soil without humidity and without humidity and organic matter were red, being associated with Fe oxides [19] and in accordance with the abundance of Fe of soil in our study (Figure 3A). Soil color reflects Fe oxide composition and content. Additionally, a higher Chroma parameter can correlate to Fe oxide content [20]; it was observed in our data (Table 1) that, after the removal of organic matter,), there was an increase in Chroma, which is related to a higher Fe content inthe remaining mineral part. In fact, the color of soil is one of the most significant characteristics, being an indicator of soil formation [10], and can be used to describe soil profiles [19]. According to [4], our data showed higher content of P, K, Mg, and Ca in soil considering the desirable levels of nutrients for tomatoes production. Potassium, K, and Ca are absorbed by tomatoes in large amounts and a higher content of Mg can lead to an increase the tomato fruit production [4]. Regarding the contaminating mineral element (As), the content obtained was below the critical limits for a pH higher than 7.0 [21].

5. Conclusions

The soil samples collected in the experimental field located in São João de Negrilhos (Aljustrel) exhibited different interrelations between pH, organic matter content, electrical conductivity, and humidity (or moisture). A higher correlation was observed between electrical conductivity and humidity probably due to electrical conductivity being influenced by different properties, namely soil water content. The pH was in accordance with the ideal range for tomato production. Overall, soil conditions of the field presented good requirements for tomato production, despite the higher levels of Fe (due to the geological substratum) and the presence of As that were below the critical limits for the pH of the field.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/IOCAG2022-12226/s1.

Author Contributions

Conceptualization, F.C.L.; methodology, F.C.L. and P.L.; software, A.R.F.C.; formal analysis, A.R.F.C., A.C.M., C.C.P., I.C.L. and D.D.; resources, M.M.S., M.S., F.H.R., M.F.P., P.L., J.C.R., P.S.C., I.P.P. and J.N.S.; writing—original draft preparation, A.R.F.C. and F.C.L.; writing—review and editing, A.R.F.C. and F.C.L.; supervision, F.C.L.; project administration, F.C.L.; funding acquisition, F.C.L. All authors have read and agreed to the published version of the manuscript.

Funding

This work received funding from PDR2020-101-030701 and Fundação para a Ciência e a Tecnologia, I.P. (FCT), Portugal, through the research units UIDP/04035/2020 (GeoBioTec) and UIDB/00239/2020 (CEF).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors are grateful to Eng. Valter Lopes and António Vasconcelos (Associação de Beneficiários do Roxo) for technical assistance in the agricultural parcel.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Naika, S.; de Jeude, J.V.L.; de Goffau, M.; Hilmi, M. AD17E Cultivation of Tomato (No. 17); Agromisa Foundation: Wageningen, The Netherlands, 2005. [Google Scholar]
  2. Dorais, M.; Ehret, D.L.; Papadopoulos, A.P. Tomato (Solanum lycopersicum) health components: From the seed to the consumer. Phytochem. Rev. 2008, 7, 231–250. [Google Scholar] [CrossRef]
  3. Pagani, A.; Sawyer, J.E.; Mallarino, A. Site-specific nutrient management: For nutrient management planning to improve crop production, environmental quality, and economic return. Ext. Outreach Publ. 2013, 116. [Google Scholar]
  4. Sainju, U.M.; Dris, R.; Singh, B. Mineral nutrition of tomato. J. Food Agric. Environ. 2003, 1, 176–183. [Google Scholar]
  5. Wood, S.A.; Tirfessa, D.; Baudron, F. Soil organic matter underlies crop nutritional quality and productivity in smallholder agriculture. Agric. Ecosyst. Environ. 2018, 266, 100–108. [Google Scholar] [CrossRef]
  6. Minasny, B.; Hong, S.Y.; Hartemink, A.E.; Kim, Y.H.; Kang, S.S. Soil pH increase under paddy in South Korea between 2000 and 2012. Agric. Ecosyst. Environ. 2016, 221, 205–213. [Google Scholar] [CrossRef]
  7. Chen, S.; Lin, B.; Li, Y.; Zhou, S. Spatial and temporal changes of soil properties and soil fertility evaluation in a large grain-production area of subtropical plain, China. Geoderma 2020, 357, 113937. [Google Scholar] [CrossRef]
  8. Cambouris, A.N.; Nolin, M.C.; Zebarth, B.J.; Laverdière, M.R. Soil management zones delineated by electrical conductivity to characterize spatial and temporal variations in potato yield and in soil properties. Am. J. Pot. Res. 2006, 83, 381–395. [Google Scholar] [CrossRef]
  9. Liu, J.; Hu, T.; Feng, P.; Wang, L.; Yang, S. Tomato yield and water use efficiency change with various soil moisture and potassium levels during different growth stages. PLoS ONE 2019, 14, e90972. [Google Scholar] [CrossRef] [PubMed]
  10. Shields, J.A.; St. Arnaud, R.J.; Paul, E.A.; Clayton, J.S. Measurement of soil color. Can. J. Soil Sci. 1966, 46, 83–90. [Google Scholar] [CrossRef] [Green Version]
  11. Pelica, J.; Barbosa, S.; Reboredo, F.; Lidon, F.; Pessoa, F.; Calvão, T. The paradigm of high concentration of metals of natural or anthropogenic origin in soils–the case of Neves-Corvo mine area (southern Portugal). J. Geochem. Explor. 2018, 186, 12–23. [Google Scholar] [CrossRef]
  12. Pessoa, M.F.; Scotti-Campos, P.; Pais, I.; Feteiro, A.; Canuto, D.; Simões, M.; Pelica, J.; Pataco, I.; Ribeiro, V.; Reboredo, F.H.; et al. Nutritional profile of the Portuguese cabbage (Brassica oleracea L var. costata) and its relationship with the elemental soil analysis. Emir. J. Food Agric. 2016, 28, 381–388. [Google Scholar] [CrossRef] [Green Version]
  13. Marques, A.C.; Lidon, F.C.; Coelho, A.R.F.; Pessoa, C.C.; Luís, I.C.; Scotti-Campos, P.; Simões, M.; Almeida, A.S.; Legoinha, P.; Pessoa, M.F.; et al. Quantification and Tissue Localization of Selenium in Rice (Oryza sativa L., Poaceae) Grains: A Perspective of Agronomic Biofortification. Plants 2020, 9, 1670. [Google Scholar] [CrossRef] [PubMed]
  14. Coelho, A.R.F.; Marques, A.C.; Pessoa, C.C.; Luís, I.C.; Daccak, D.; Simões, M.; Reboredo, F.H.; Pessoa, M.; Silva, M.M.; Legoinha, P.; et al. Calcium Biofortification in Solanum tuberosum L. cv.Agria: A Technical Workflow. In Proceedings of the 1st International Conference on Water Energy Food and Sustainability (ICoWEFS 2021), Leiria, Portugal, 10–12 May 2021; da Costa Sanches Galvão, J.R., Ed.; Springer: Cham, Switzerland, 2021. [Google Scholar] [CrossRef]
  15. Corwin, D.L.; Lesch, S.M. Apparent soil electrical conductivity measurements in agriculture. Comput. Electron. Agric. 2005, 46, 11–43. [Google Scholar] [CrossRef]
  16. Voz do Campo Editora, L.D.A. Available online: https://vozdocampo.pt/2020/06/12/consideracoes-gerais-sobre-a-cultura-do-tomateiro/ (accessed on 2 December 2021).
  17. Smith, J.L.; Doran, J.W. Measurement and use of pH and electrical conductivity for soil quality analysis. Methods Assess. Soil Qual. 1997, 49, 169–185. [Google Scholar] [CrossRef]
  18. Schermerhorn, L.J.G.; Zbyszewski, G.; Ferreira, V.O. Notícia Explicativa da Folha 42-D Aljustrel; Dirrecção-Geral de Geologia e Minas—Serviços Geológicos de Portugal: Lisboa, Portugal, 1987. [Google Scholar]
  19. Viscarra Rossel, R.A.; Bui, E.N.; De Caritat, P.; McKenzie, N.J. Mapping iron oxides and the color of Australian soil using visible–near-infrared reflectance spectra. J. Geophys. Res. Earth Surf. 2010, 115. [Google Scholar] [CrossRef]
  20. Scheinost, A.C.; Schwertmann, U. Color identification of iron oxides and hydroxysulfates: Use and limitations. Soil Sci. Soc. Am. J. 1999, 63, 1463–1471. [Google Scholar] [CrossRef]
  21. Decreto-Lei nº 118/2006 de 21 de Junho—O Decreto-Lei n.o 446/91, de 22 de Novembro, estabelece o regime jurídico da utilização agrícola das lamas de depuração e demais legislação regulamentar, transpondo para a ordem jurídica nacional a Directiva n.o 1186/278/CE, do Conselho, de 12 de Junho, relativa à protecção do ambiente e em especial dos solos na utilização agrícola das lamas.
Figure 1. Geographic location of the field (images obtained through Google Earth). Indication (in blue) of the limit of soil sample collection in the field. (Note: when the soil samples were taken, there was no type of plantation in the field. The image shown is for geographic location only and does not correspond to the date of the collection of the soil samples).
Figure 1. Geographic location of the field (images obtained through Google Earth). Indication (in blue) of the limit of soil sample collection in the field. (Note: when the soil samples were taken, there was no type of plantation in the field. The image shown is for geographic location only and does not correspond to the date of the collection of the soil samples).
Chemproc 10 00048 g001
Figure 2. (AC) Projection of the factorial plane created by the axes component 1 (or F1) (42.9% variance) and component 2 (or F2) (68.0% variance). (A) Correlation matrix from ACP analysis; (B) and correlation of Pearson; (C) pH, organic matter, electrical conductivity, and humidity of soil samples (n = 16).
Figure 2. (AC) Projection of the factorial plane created by the axes component 1 (or F1) (42.9% variance) and component 2 (or F2) (68.0% variance). (A) Correlation matrix from ACP analysis; (B) and correlation of Pearson; (C) pH, organic matter, electrical conductivity, and humidity of soil samples (n = 16).
Chemproc 10 00048 g002
Figure 3. (AC) Mean values ± S.E. of mineral content of soil samples (n = 16).
Figure 3. (AC) Mean values ± S.E. of mineral content of soil samples (n = 16).
Chemproc 10 00048 g003
Table 1. Mean values ± S.E. (n = 16) of colorimetric parameters (L, Chroma, and Hue) in soil without humidity and without humidity and organic matter. For each parameter, the different letters express significant differences the different type of soil (a,b).
Table 1. Mean values ± S.E. (n = 16) of colorimetric parameters (L, Chroma, and Hue) in soil without humidity and without humidity and organic matter. For each parameter, the different letters express significant differences the different type of soil (a,b).
SoilLChromaHue
Without humidity40.5 a ± 0.2615.1 b ± 0.2171.7 a ± 0.41
Without humidity and organic matter39.4 b ± 0.4324.1 a ± 0.2549.5 b ± 0.56
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Coelho, A.R.F.; Marques, A.C.; Pessoa, C.C.; Daccak, D.; Luís, I.C.; Silva, M.M.; Simões, M.; Reboredo, F.H.; Pessoa, M.F.; Legoinha, P.; et al. Soil Characterization for Production of an Industrial Tomato Variety in South Portugal—A Case Study. Chem. Proc. 2022, 10, 48. https://doi.org/10.3390/IOCAG2022-12226

AMA Style

Coelho ARF, Marques AC, Pessoa CC, Daccak D, Luís IC, Silva MM, Simões M, Reboredo FH, Pessoa MF, Legoinha P, et al. Soil Characterization for Production of an Industrial Tomato Variety in South Portugal—A Case Study. Chemistry Proceedings. 2022; 10(1):48. https://doi.org/10.3390/IOCAG2022-12226

Chicago/Turabian Style

Coelho, Ana Rita F., Ana Coelho Marques, Cláudia Campos Pessoa, Diana Daccak, Inês Carmo Luís, Maria Manuela Silva, Manuela Simões, Fernando H. Reboredo, Maria F. Pessoa, Paulo Legoinha, and et al. 2022. "Soil Characterization for Production of an Industrial Tomato Variety in South Portugal—A Case Study" Chemistry Proceedings 10, no. 1: 48. https://doi.org/10.3390/IOCAG2022-12226

Article Metrics

Back to TopTop