Spatial variability of soil fertility and its relation with cocoa yield
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000200088 |
Resumo: | ABSTRACT The knowledge on the spatial variability of soil properties and crops is important for decision-making on agricultural management. The objective of this study was to evaluate the spatial variability of soil fertility and its relation with cocoa yield. The study was conducted over 14 months in an area cultivated with cocoa. A sampling grid was created to study soil chemical properties and cocoa yield (stratified in season, off-season and annual). The data were analyzed using descriptive and exploratory statistics, and geostatistics. The chemical attributes were classified using fuzzy logic to generate a soil fertility map, which was correlated with maps of crop yield. The soil of the area, except for the western region, showed possibilities ranging from medium to high for cocoa cultivation. Soil fertility showed positive spatial correlation with cocoa yield, and its effect was predominant only for the off-season and annual cocoa. |
id |
UFCG-1_c174d08b37c173439d5888882a419b9e |
---|---|
oai_identifier_str |
oai:scielo:S1415-43662017000200088 |
network_acronym_str |
UFCG-1 |
network_name_str |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
repository_id_str |
|
spelling |
Spatial variability of soil fertility and its relation with cocoa yieldprecision agriculturecocoaspatial variabilityfuzzy logicABSTRACT The knowledge on the spatial variability of soil properties and crops is important for decision-making on agricultural management. The objective of this study was to evaluate the spatial variability of soil fertility and its relation with cocoa yield. The study was conducted over 14 months in an area cultivated with cocoa. A sampling grid was created to study soil chemical properties and cocoa yield (stratified in season, off-season and annual). The data were analyzed using descriptive and exploratory statistics, and geostatistics. The chemical attributes were classified using fuzzy logic to generate a soil fertility map, which was correlated with maps of crop yield. The soil of the area, except for the western region, showed possibilities ranging from medium to high for cocoa cultivation. Soil fertility showed positive spatial correlation with cocoa yield, and its effect was predominant only for the off-season and annual cocoa.Departamento de Engenharia Agrícola - UFCG2017-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000200088Revista Brasileira de Engenharia Agrícola e Ambiental v.21 n.2 2017reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v21n2p88-93info:eu-repo/semantics/openAccessSantos,Railton O. dosFranco,Laís B.Silva,Samuel A.Sodré,George A.Menezes,Agna A.eng2017-02-13T00:00:00Zoai:scielo:S1415-43662017000200088Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2017-02-13T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false |
dc.title.none.fl_str_mv |
Spatial variability of soil fertility and its relation with cocoa yield |
title |
Spatial variability of soil fertility and its relation with cocoa yield |
spellingShingle |
Spatial variability of soil fertility and its relation with cocoa yield Santos,Railton O. dos precision agriculture cocoa spatial variability fuzzy logic |
title_short |
Spatial variability of soil fertility and its relation with cocoa yield |
title_full |
Spatial variability of soil fertility and its relation with cocoa yield |
title_fullStr |
Spatial variability of soil fertility and its relation with cocoa yield |
title_full_unstemmed |
Spatial variability of soil fertility and its relation with cocoa yield |
title_sort |
Spatial variability of soil fertility and its relation with cocoa yield |
author |
Santos,Railton O. dos |
author_facet |
Santos,Railton O. dos Franco,Laís B. Silva,Samuel A. Sodré,George A. Menezes,Agna A. |
author_role |
author |
author2 |
Franco,Laís B. Silva,Samuel A. Sodré,George A. Menezes,Agna A. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Santos,Railton O. dos Franco,Laís B. Silva,Samuel A. Sodré,George A. Menezes,Agna A. |
dc.subject.por.fl_str_mv |
precision agriculture cocoa spatial variability fuzzy logic |
topic |
precision agriculture cocoa spatial variability fuzzy logic |
description |
ABSTRACT The knowledge on the spatial variability of soil properties and crops is important for decision-making on agricultural management. The objective of this study was to evaluate the spatial variability of soil fertility and its relation with cocoa yield. The study was conducted over 14 months in an area cultivated with cocoa. A sampling grid was created to study soil chemical properties and cocoa yield (stratified in season, off-season and annual). The data were analyzed using descriptive and exploratory statistics, and geostatistics. The chemical attributes were classified using fuzzy logic to generate a soil fertility map, which was correlated with maps of crop yield. The soil of the area, except for the western region, showed possibilities ranging from medium to high for cocoa cultivation. Soil fertility showed positive spatial correlation with cocoa yield, and its effect was predominant only for the off-season and annual cocoa. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000200088 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000200088 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1807-1929/agriambi.v21n2p88-93 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Departamento de Engenharia Agrícola - UFCG |
publisher.none.fl_str_mv |
Departamento de Engenharia Agrícola - UFCG |
dc.source.none.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental v.21 n.2 2017 reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online) instname:Universidade Federal de Campina Grande (UFCG) instacron:UFCG |
instname_str |
Universidade Federal de Campina Grande (UFCG) |
instacron_str |
UFCG |
institution |
UFCG |
reponame_str |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
collection |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG) |
repository.mail.fl_str_mv |
||agriambi@agriambi.com.br |
_version_ |
1750297685173207040 |