Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/33968 https://doi.org/10.1007/s10457-018-0219-5 |
Resumo: | Montado is a silvo-pastoral ecosystem of the Mediterranean region, a mixed system of trees and grass, where livestock graze. The information about the spatial and temporal variability of pastures constitutes the basis to estimate available feed, a fundamental decision support tool for the farm manager to define the animal stocking or the rotation of the grazed paddocks. In this study, the intrinsic features of high spatial–temporal variability of Mediterranean grazed pastures were assessed with the objective of evaluating the suitability of two proximal sensing techniques (an active optical sensor, AOS and a capacitance probe) for easily monitoring seasonal variability of pasture productivity and quality linked to animal grazing patterns. The correlation between pasture and sensor parameters was consistent between capacitance and pasture productivity (r2 = 0.68, P \0.01; and r2 = 0.87, P\ 0.01, respectively for green pasture biomass, PB and pasture moisture content, PMC), between NDVI and pasture productivity (r2 = 0.73, P\ 0.01; and r2 = 0.96, P\ 0.01, respectively for PB and PMC) and between NDVI and pasture quality (r2 = 0.44, P \0.05; r2 = 0.69, P \0.01; and r2 = 0.78, P\ 0.01, respectively for ash, crude protein, CP and neutral detergent fibre, NDF). The approach is a promising methodology for assessing seasonal changes in pasture that have values of biomass that range between 2000 and 85,000 kg ha-1 and vegetative sates from de green and leafy to dry. These results can be an important starting point for studies of evaluation and calibration of the optical sensor specifically for pasture quality assessment in different types of biodiverse pastures. This is a key factor for the management of animal grazing intensity and calculation of feed supplementation needs. |
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Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewesAgro-silvo-pastoral systemsMontadoProximal sensingPasture seasonalityMontado is a silvo-pastoral ecosystem of the Mediterranean region, a mixed system of trees and grass, where livestock graze. The information about the spatial and temporal variability of pastures constitutes the basis to estimate available feed, a fundamental decision support tool for the farm manager to define the animal stocking or the rotation of the grazed paddocks. In this study, the intrinsic features of high spatial–temporal variability of Mediterranean grazed pastures were assessed with the objective of evaluating the suitability of two proximal sensing techniques (an active optical sensor, AOS and a capacitance probe) for easily monitoring seasonal variability of pasture productivity and quality linked to animal grazing patterns. The correlation between pasture and sensor parameters was consistent between capacitance and pasture productivity (r2 = 0.68, P \0.01; and r2 = 0.87, P\ 0.01, respectively for green pasture biomass, PB and pasture moisture content, PMC), between NDVI and pasture productivity (r2 = 0.73, P\ 0.01; and r2 = 0.96, P\ 0.01, respectively for PB and PMC) and between NDVI and pasture quality (r2 = 0.44, P \0.05; r2 = 0.69, P \0.01; and r2 = 0.78, P\ 0.01, respectively for ash, crude protein, CP and neutral detergent fibre, NDF). The approach is a promising methodology for assessing seasonal changes in pasture that have values of biomass that range between 2000 and 85,000 kg ha-1 and vegetative sates from de green and leafy to dry. These results can be an important starting point for studies of evaluation and calibration of the optical sensor specifically for pasture quality assessment in different types of biodiverse pastures. This is a key factor for the management of animal grazing intensity and calculation of feed supplementation needs.2023-02-07T12:32:22Z2023-02-072018-03-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/33968https://doi.org/10.1007/s10457-018-0219-5http://hdl.handle.net/10174/33968https://doi.org/10.1007/s10457-018-0219-5engSerrano, J., Sales-Baptista, E., Shahidian, S., da Silva, J. M., de Oliveira, I. F., de Castro, J. L., ... & de Carvalho, M. (2021). Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes. Agroforestry Systems, 95, 55-69.Departamento de zootecniajmrs@uevora.ptelsaba@uevora.ptshakib@uevora.ptjmsilva@uevora.ptmifo@uevora.ptjcastro@uevora.ptapereira@uevora.ptabreu@uevora.ptmjc@uevora.pt578Serrano, JoãoSales-Baptista, E.Shahidian, ShakibMarques da Silva, J.Ferraz de Oliveira, I.Lopes de Castro, J.Pereira, AlfredoCancela d’Abreu, M.de Carvalho, Márioinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-08T04:49:57ZPortal AgregadorONG |
dc.title.none.fl_str_mv |
Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes |
title |
Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes |
spellingShingle |
Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes Serrano, João Agro-silvo-pastoral systems Montado Proximal sensing Pasture seasonality |
title_short |
Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes |
title_full |
Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes |
title_fullStr |
Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes |
title_full_unstemmed |
Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes |
title_sort |
Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes |
author |
Serrano, João |
author_facet |
Serrano, João Sales-Baptista, E. Shahidian, Shakib Marques da Silva, J. Ferraz de Oliveira, I. Lopes de Castro, J. Pereira, Alfredo Cancela d’Abreu, M. de Carvalho, Mário |
author_role |
author |
author2 |
Sales-Baptista, E. Shahidian, Shakib Marques da Silva, J. Ferraz de Oliveira, I. Lopes de Castro, J. Pereira, Alfredo Cancela d’Abreu, M. de Carvalho, Mário |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Serrano, João Sales-Baptista, E. Shahidian, Shakib Marques da Silva, J. Ferraz de Oliveira, I. Lopes de Castro, J. Pereira, Alfredo Cancela d’Abreu, M. de Carvalho, Mário |
dc.subject.por.fl_str_mv |
Agro-silvo-pastoral systems Montado Proximal sensing Pasture seasonality |
topic |
Agro-silvo-pastoral systems Montado Proximal sensing Pasture seasonality |
description |
Montado is a silvo-pastoral ecosystem of the Mediterranean region, a mixed system of trees and grass, where livestock graze. The information about the spatial and temporal variability of pastures constitutes the basis to estimate available feed, a fundamental decision support tool for the farm manager to define the animal stocking or the rotation of the grazed paddocks. In this study, the intrinsic features of high spatial–temporal variability of Mediterranean grazed pastures were assessed with the objective of evaluating the suitability of two proximal sensing techniques (an active optical sensor, AOS and a capacitance probe) for easily monitoring seasonal variability of pasture productivity and quality linked to animal grazing patterns. The correlation between pasture and sensor parameters was consistent between capacitance and pasture productivity (r2 = 0.68, P \0.01; and r2 = 0.87, P\ 0.01, respectively for green pasture biomass, PB and pasture moisture content, PMC), between NDVI and pasture productivity (r2 = 0.73, P\ 0.01; and r2 = 0.96, P\ 0.01, respectively for PB and PMC) and between NDVI and pasture quality (r2 = 0.44, P \0.05; r2 = 0.69, P \0.01; and r2 = 0.78, P\ 0.01, respectively for ash, crude protein, CP and neutral detergent fibre, NDF). The approach is a promising methodology for assessing seasonal changes in pasture that have values of biomass that range between 2000 and 85,000 kg ha-1 and vegetative sates from de green and leafy to dry. These results can be an important starting point for studies of evaluation and calibration of the optical sensor specifically for pasture quality assessment in different types of biodiverse pastures. This is a key factor for the management of animal grazing intensity and calculation of feed supplementation needs. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-03-15T00:00:00Z 2023-02-07T12:32:22Z 2023-02-07 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/33968 https://doi.org/10.1007/s10457-018-0219-5 http://hdl.handle.net/10174/33968 https://doi.org/10.1007/s10457-018-0219-5 |
url |
http://hdl.handle.net/10174/33968 https://doi.org/10.1007/s10457-018-0219-5 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Serrano, J., Sales-Baptista, E., Shahidian, S., da Silva, J. M., de Oliveira, I. F., de Castro, J. L., ... & de Carvalho, M. (2021). Proximal sensors for monitoring seasonal changes of feeding sites selected by grazing ewes. Agroforestry Systems, 95, 55-69. Departamento de zootecnia jmrs@uevora.pt elsaba@uevora.pt shakib@uevora.pt jmsilva@uevora.pt mifo@uevora.pt jcastro@uevora.pt apereira@uevora.pt abreu@uevora.pt mjc@uevora.pt 578 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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