Tracking free-ranging Pantaneiro sheep during extreme drought in the Pantanal through precision technologies.
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1165943 https://doi.org/10.3390/agriculture14071154 |
Resumo: | The Pantanal has been facing consecutive years of extreme drought, with an impact on the quantity and quality of available pasture. However, little is known about how locally adapted breeds respond to the distribution of forage resources in this extreme drought scenario. This study aimed to evaluate the movement of free-grazing Pantaneiro sheep using a low-cost GPS to assess the main grazing sites, measure the daily distance traveled, and determine the energy requirements for walking with body weight monitoring. In a herd of 100 animals, 31 were selected for weighing, and six ewes were outfitted with GPS collars. GPS data collected on these animals every 10 m from August 2020 to May 2021 was analyzed using the Python programming language. The traveled distance and activity energy requirements (ACT) for horizontal walking (Mcal/d of NEm) were determined. The 31 ewes were weighed at the beginning and end of each season. The available dry matter (DM) and floristic composition of the grazing sites were estimated at the peak of the drought. DM was predicted using power regression with NDVI (normalized difference vegetation index) (R2 = 0.94). DM estimates averaged 450 kg/ha, ranging from traces to 3830 kg/ha, indicating overall very low values. Individual variation in the frequency of use of grazing sites was observed (p < 0.05), reflecting the distances traveled and the energetic cost of the activity. The range of distances traveled by the animals varied from 3.3 to 17.7 km/d, with an average of 5.9 km/d, indicating low energy for walking. However, the traveled distance and ACT remained consistent over time; there were no significant differences observed between seasons (p > 0.05). On average, the ewes’ initial weight did not differ from the weight at the drought peak (p > 0.05), indicating that they maintained their initial weight, which is important for locally adapted breeds as it confers robustness and resilience. This study also highlighted the importance of the breed’s biodiverse diet during extreme drought, which enabled the selection of forage for energy and nutrient supplementation. The results demonstrated that precision tools such as GPS and satellite imagery enabled the study of animals in extensive systems, thereby contributing to decision-making within the production system. |
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Tracking free-ranging Pantaneiro sheep during extreme drought in the Pantanal through precision technologies.Adaptação da raçaOvino pantaneiroOvinoHabito AlimentarHabitatSheepMonitoringThe Pantanal has been facing consecutive years of extreme drought, with an impact on the quantity and quality of available pasture. However, little is known about how locally adapted breeds respond to the distribution of forage resources in this extreme drought scenario. This study aimed to evaluate the movement of free-grazing Pantaneiro sheep using a low-cost GPS to assess the main grazing sites, measure the daily distance traveled, and determine the energy requirements for walking with body weight monitoring. In a herd of 100 animals, 31 were selected for weighing, and six ewes were outfitted with GPS collars. GPS data collected on these animals every 10 m from August 2020 to May 2021 was analyzed using the Python programming language. The traveled distance and activity energy requirements (ACT) for horizontal walking (Mcal/d of NEm) were determined. The 31 ewes were weighed at the beginning and end of each season. The available dry matter (DM) and floristic composition of the grazing sites were estimated at the peak of the drought. DM was predicted using power regression with NDVI (normalized difference vegetation index) (R2 = 0.94). DM estimates averaged 450 kg/ha, ranging from traces to 3830 kg/ha, indicating overall very low values. Individual variation in the frequency of use of grazing sites was observed (p < 0.05), reflecting the distances traveled and the energetic cost of the activity. The range of distances traveled by the animals varied from 3.3 to 17.7 km/d, with an average of 5.9 km/d, indicating low energy for walking. However, the traveled distance and ACT remained consistent over time; there were no significant differences observed between seasons (p > 0.05). On average, the ewes’ initial weight did not differ from the weight at the drought peak (p > 0.05), indicating that they maintained their initial weight, which is important for locally adapted breeds as it confers robustness and resilience. This study also highlighted the importance of the breed’s biodiverse diet during extreme drought, which enabled the selection of forage for energy and nutrient supplementation. The results demonstrated that precision tools such as GPS and satellite imagery enabled the study of animals in extensive systems, thereby contributing to decision-making within the production system.GIANNI AGUIAR DA SILVA, UNIVERISIDADE ESTADUAL PAULISTA; SANDRA APARECIDA SANTOS, CPPSE; PAULO ROBERTO DE LIMA MEIRELLES, UNIVERISIDADE ESTADUAL PAULISTA; RAFAEL SILVIO BONILHA PINHEIRO, UNIVERISIDADE ESTADUAL PAULISTA; MARCOS PAULO SILVA GÔLO, UNIVERSIDADE DE SAO PAULO; JORGE LUIZ FRANCO, UNIVERSIDADE DE SAO PAULO; IGOR ALEXANDRE HANY FUZETA S PERES, CPAP; LAYSA FONTES MOURA, UNIVERSIDADE ESTADUAL PAULISTA; CINIRO COSTA, UNIVERSIDADE DE SAO PAULO.SILVA, G. A. daSANTOS, S. A.MEIRELLES, P. R. de L.PINHEIRO, R. S. B.GÔLO, M. P. S.FRANCO, J. L.PERES, I. A. H. F. S.MOURA, L. F.COSTA, C.2024-07-24T14:56:46Z2024-07-24T14:56:46Z2024-07-242024info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAgriculture, v.14, n.7, 1154, 2024.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1165943https://doi.org/10.3390/agriculture14071154enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2024-07-24T14:56:46Zoai:www.alice.cnptia.embrapa.br:doc/1165943Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542024-07-24T14:56:46Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Tracking free-ranging Pantaneiro sheep during extreme drought in the Pantanal through precision technologies. |
title |
Tracking free-ranging Pantaneiro sheep during extreme drought in the Pantanal through precision technologies. |
spellingShingle |
Tracking free-ranging Pantaneiro sheep during extreme drought in the Pantanal through precision technologies. SILVA, G. A. da Adaptação da raça Ovino pantaneiro Ovino Habito Alimentar Habitat Sheep Monitoring |
title_short |
Tracking free-ranging Pantaneiro sheep during extreme drought in the Pantanal through precision technologies. |
title_full |
Tracking free-ranging Pantaneiro sheep during extreme drought in the Pantanal through precision technologies. |
title_fullStr |
Tracking free-ranging Pantaneiro sheep during extreme drought in the Pantanal through precision technologies. |
title_full_unstemmed |
Tracking free-ranging Pantaneiro sheep during extreme drought in the Pantanal through precision technologies. |
title_sort |
Tracking free-ranging Pantaneiro sheep during extreme drought in the Pantanal through precision technologies. |
author |
SILVA, G. A. da |
author_facet |
SILVA, G. A. da SANTOS, S. A. MEIRELLES, P. R. de L. PINHEIRO, R. S. B. GÔLO, M. P. S. FRANCO, J. L. PERES, I. A. H. F. S. MOURA, L. F. COSTA, C. |
author_role |
author |
author2 |
SANTOS, S. A. MEIRELLES, P. R. de L. PINHEIRO, R. S. B. GÔLO, M. P. S. FRANCO, J. L. PERES, I. A. H. F. S. MOURA, L. F. COSTA, C. |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
GIANNI AGUIAR DA SILVA, UNIVERISIDADE ESTADUAL PAULISTA; SANDRA APARECIDA SANTOS, CPPSE; PAULO ROBERTO DE LIMA MEIRELLES, UNIVERISIDADE ESTADUAL PAULISTA; RAFAEL SILVIO BONILHA PINHEIRO, UNIVERISIDADE ESTADUAL PAULISTA; MARCOS PAULO SILVA GÔLO, UNIVERSIDADE DE SAO PAULO; JORGE LUIZ FRANCO, UNIVERSIDADE DE SAO PAULO; IGOR ALEXANDRE HANY FUZETA S PERES, CPAP; LAYSA FONTES MOURA, UNIVERSIDADE ESTADUAL PAULISTA; CINIRO COSTA, UNIVERSIDADE DE SAO PAULO. |
dc.contributor.author.fl_str_mv |
SILVA, G. A. da SANTOS, S. A. MEIRELLES, P. R. de L. PINHEIRO, R. S. B. GÔLO, M. P. S. FRANCO, J. L. PERES, I. A. H. F. S. MOURA, L. F. COSTA, C. |
dc.subject.por.fl_str_mv |
Adaptação da raça Ovino pantaneiro Ovino Habito Alimentar Habitat Sheep Monitoring |
topic |
Adaptação da raça Ovino pantaneiro Ovino Habito Alimentar Habitat Sheep Monitoring |
description |
The Pantanal has been facing consecutive years of extreme drought, with an impact on the quantity and quality of available pasture. However, little is known about how locally adapted breeds respond to the distribution of forage resources in this extreme drought scenario. This study aimed to evaluate the movement of free-grazing Pantaneiro sheep using a low-cost GPS to assess the main grazing sites, measure the daily distance traveled, and determine the energy requirements for walking with body weight monitoring. In a herd of 100 animals, 31 were selected for weighing, and six ewes were outfitted with GPS collars. GPS data collected on these animals every 10 m from August 2020 to May 2021 was analyzed using the Python programming language. The traveled distance and activity energy requirements (ACT) for horizontal walking (Mcal/d of NEm) were determined. The 31 ewes were weighed at the beginning and end of each season. The available dry matter (DM) and floristic composition of the grazing sites were estimated at the peak of the drought. DM was predicted using power regression with NDVI (normalized difference vegetation index) (R2 = 0.94). DM estimates averaged 450 kg/ha, ranging from traces to 3830 kg/ha, indicating overall very low values. Individual variation in the frequency of use of grazing sites was observed (p < 0.05), reflecting the distances traveled and the energetic cost of the activity. The range of distances traveled by the animals varied from 3.3 to 17.7 km/d, with an average of 5.9 km/d, indicating low energy for walking. However, the traveled distance and ACT remained consistent over time; there were no significant differences observed between seasons (p > 0.05). On average, the ewes’ initial weight did not differ from the weight at the drought peak (p > 0.05), indicating that they maintained their initial weight, which is important for locally adapted breeds as it confers robustness and resilience. This study also highlighted the importance of the breed’s biodiverse diet during extreme drought, which enabled the selection of forage for energy and nutrient supplementation. The results demonstrated that precision tools such as GPS and satellite imagery enabled the study of animals in extensive systems, thereby contributing to decision-making within the production system. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-07-24T14:56:46Z 2024-07-24T14:56:46Z 2024-07-24 2024 |
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 |
Agriculture, v.14, n.7, 1154, 2024. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1165943 https://doi.org/10.3390/agriculture14071154 |
identifier_str_mv |
Agriculture, v.14, n.7, 1154, 2024. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1165943 https://doi.org/10.3390/agriculture14071154 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
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EMBRAPA |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1817695715873259520 |