干旱区生态环境知识资源中心(Arid): Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditions

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DOI	10.1590/0100-29452020173
	Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditions
	da Silva, Katia Araujo; Rodrigues, Marcos Sales; Ramos Moreira, Filipe Bernard; Ferreira Lira, Airis Layanne; Nascimento Lima, Augusto Miguel; Lucena Cavalcante, Italo Herbert
通讯作者	da Silva, KA
来源期刊	REVISTA BRASILEIRA DE FRUTICULTURA
ISSN	0100-2945
出版年	2020
卷号	42 期号:5
英文摘要	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 Sao 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.
英文关键词	Geostatistics Mangifera indica L Semivariogram Spatial dependence
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000572873800001
WOS关键词	MAGNETIC-SUSCEPTIBILITY ; MANAGEMENT ZONES ; PHYSICAL ATTRIBUTES ; ORGANIC-CARBON ; COVER CROPS ; VARIABILITY ; YIELD ; CLASSIFICATION ; DEFINITION ; PHOSPHORUS
WOS类目	Horticulture
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/326516
作者单位	[da Silva, Katia Araujo; Ramos Moreira, Filipe Bernard; Ferreira Lira, Airis Layanne] Univ Fed Vale Sao Francisco, Agron, Petrolina City, PE, Brazil; [Rodrigues, Marcos Sales; Nascimento Lima, Augusto Miguel; Lucena Cavalcante, Italo Herbert] Univ Fed Vale Sao Francisco, Petrolina City, PE, Brazil
推荐引用方式 GB/T 7714	da Silva, Katia Araujo,Rodrigues, Marcos Sales,Ramos Moreira, Filipe Bernard,et al. Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditions[J],2020,42(5).
APA	da Silva, Katia Araujo,Rodrigues, Marcos Sales,Ramos Moreira, Filipe Bernard,Ferreira Lira, Airis Layanne,Nascimento Lima, Augusto Miguel,&Lucena Cavalcante, Italo Herbert.(2020).Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditions.REVISTA BRASILEIRA DE FRUTICULTURA,42(5).
MLA	da Silva, Katia Araujo,et al."Soil sampling optimization using spatial analysis in irrigated mango fields under brazilian semi-arid conditions".REVISTA BRASILEIRA DE FRUTICULTURA 42.5(2020).