Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditions
Abstract Soil sampling is a fundamental procedure in the decision making regarding the management of the soil, thus, a sampling plan should represent as accurately as possible the evaluated crop field. Therefore, the objectives of this study were to suggest a soil sampling approach and soil samplin...
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Sociedade Brasileira de Fruticultura
2020-09-01
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| Series: | Revista Brasileira de Fruticultura |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452020000503003&tlng=en |
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| author | Kátia Araújo da Silva Marcos Sales Rodrigues Filipe Bernard Ramos Moreira Aíris Layanne Ferreira Lira Augusto Miguel Nascimento Lima Ítalo Herbert Lucena Cavalcante |
| author_facet | Kátia Araújo da Silva Marcos Sales Rodrigues Filipe Bernard Ramos Moreira Aíris Layanne Ferreira Lira Augusto Miguel Nascimento Lima Ítalo Herbert Lucena Cavalcante |
| author_sort | Kátia Araújo da Silva |
| collection | DOAJ |
| description | Abstract Soil sampling is a fundamental procedure in the decision making regarding the management of the soil, thus, a sampling plan should represent as accurately as possible the evaluated crop field. Therefore, the objectives of this study were to suggest a soil sampling approach and soil sampling point allocation using spatial analyses and compare to the classic statistic method in irrigated mango orchards in the Brazilian semi-arid region. The experiment was carried out in three commercial mango orchards located in the region of the São Francisco Valley, Brazil. Soil samples were collected in 0-0.2 m and 0.2-0.4 m depths following regular grids where the number of samples varied from 50 to 56. Soil texture, soil bulk density, soil total porosity, microporosity, macroporosity, pH, Ca, Mg, Na, K, Al, P, potential acidity, and the sum of basis were evaluated. Classical and geostatistical statistics were used to determine the ideal number of soil samples. Fuzzy c-means clustering technique was used to separate the areas into homogeneous zones and to allocate the sampling points. The wide method of 20 individual soil samples proved to be inefficient. On the other hand, the use of geostatistics proved to be efficient and is required for each crop field. The c-means clustering was adequate to separate the areas into homogeneous zones and, thus, to assist the sampling point allocation. |
| first_indexed | 2024-12-20T15:24:43Z |
| format | Article |
| id | doaj.art-eda20ba8a49d4de18a03ad10dc63e1d0 |
| institution | Directory Open Access Journal |
| issn | 1806-9967 |
| language | English |
| last_indexed | 2024-12-20T15:24:43Z |
| publishDate | 2020-09-01 |
| publisher | Sociedade Brasileira de Fruticultura |
| record_format | Article |
| series | Revista Brasileira de Fruticultura |
| spelling | doaj.art-eda20ba8a49d4de18a03ad10dc63e1d02022-12-21T19:35:53ZengSociedade Brasileira de FruticulturaRevista Brasileira de Fruticultura1806-99672020-09-0142510.1590/0100-29452020173Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditionsKátia Araújo da Silvahttps://orcid.org/0000-0001-6618-8753Marcos Sales Rodrigueshttps://orcid.org/0000-0002-6567-1273Filipe Bernard Ramos Moreirahttps://orcid.org/0000-0001-9464-9334Aíris Layanne Ferreira Lirahttps://orcid.org/0000-0001-9281-1350Augusto Miguel Nascimento Limahttps://orcid.org/0000-0002-8567-9600Ítalo Herbert Lucena Cavalcantehttps://orcid.org/0000-0003-1610-1546Abstract Soil sampling is a fundamental procedure in the decision making regarding the management of the soil, thus, a sampling plan should represent as accurately as possible the evaluated crop field. Therefore, the objectives of this study were to suggest a soil sampling approach and soil sampling point allocation using spatial analyses and compare to the classic statistic method in irrigated mango orchards in the Brazilian semi-arid region. The experiment was carried out in three commercial mango orchards located in the region of the São Francisco Valley, Brazil. Soil samples were collected in 0-0.2 m and 0.2-0.4 m depths following regular grids where the number of samples varied from 50 to 56. Soil texture, soil bulk density, soil total porosity, microporosity, macroporosity, pH, Ca, Mg, Na, K, Al, P, potential acidity, and the sum of basis were evaluated. Classical and geostatistical statistics were used to determine the ideal number of soil samples. Fuzzy c-means clustering technique was used to separate the areas into homogeneous zones and to allocate the sampling points. The wide method of 20 individual soil samples proved to be inefficient. On the other hand, the use of geostatistics proved to be efficient and is required for each crop field. The c-means clustering was adequate to separate the areas into homogeneous zones and, thus, to assist the sampling point allocation.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452020000503003&tlng=enGeostatisticsMangifera indica LSemivariogramSpatial dependence |
| spellingShingle | Kátia Araújo da Silva Marcos Sales Rodrigues Filipe Bernard Ramos Moreira Aíris Layanne Ferreira Lira Augusto Miguel Nascimento Lima Ítalo Herbert Lucena Cavalcante Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditions Revista Brasileira de Fruticultura Geostatistics Mangifera indica L Semivariogram Spatial dependence |
| title | Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditions |
| title_full | Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditions |
| title_fullStr | Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditions |
| title_full_unstemmed | Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditions |
| title_short | Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditions |
| title_sort | soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi arid conditions |
| topic | Geostatistics Mangifera indica L Semivariogram Spatial dependence |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452020000503003&tlng=en |
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