Tracking Free-Ranging Pantaneiro Sheep during Extreme Drought in the Pantanal through Precision Technologies
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2024 |
| Outros Autores: | , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional da UNESP |
| Texto Completo: | http://dx.doi.org/10.3390/agriculture14071154 https://hdl.handle.net/11449/301708 |
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. |
| id |
UNSP_ee7fe05ae8d4029fa26e145dd1911e4e |
|---|---|
| oai_identifier_str |
oai:repositorio.unesp.br:11449/301708 |
| network_acronym_str |
UNSP |
| network_name_str |
Repositório Institucional da UNESP |
| repository_id_str |
2946 |
| spelling |
Tracking Free-Ranging Pantaneiro Sheep during Extreme Drought in the Pantanal through Precision Technologiesadapted locally breedbiodiverse dietdaily distance traveledGPSOvis ariesThe 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.Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do SulSchool of Veterinary Medicine and Animal Science São Paulo State University (UNESP), SPEmbrapa Pecuária Sudeste, São Carlos, SPInstitute of Mathematics and Computer Sciences University of São Paulo, SPEmbrapa Pantanal, MSSchool of Veterinary Medicine and Animal Science São Paulo State University (UNESP), SPFundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul: 024370Universidade Estadual Paulista (UNESP)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)University of São Pauloda Silva, Gianni Aguiar [UNESP]Santos, Sandra AparecidaMeirelles, Paulo Roberto de Lima [UNESP]Pinheiro, Rafael Silvio Bonilha [UNESP]Gôlo, Marcos Paulo SilvaFranco, Jorge LuizPéres, Igor Alexandre Hany Fuzeta SchabibMoura, Laysa Fontes [UNESP]Costa, Ciniro [UNESP]2025-04-29T18:59:05Z2024-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/agriculture14071154Agriculture (Switzerland), v. 14, n. 7, 2024.2077-0472https://hdl.handle.net/11449/30170810.3390/agriculture140711542-s2.0-85199585353Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAgriculture (Switzerland)info:eu-repo/semantics/openAccess2025-04-30T13:42:42Zoai:repositorio.unesp.br:11449/301708Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-04-30T13:42:42Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)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 da Silva, Gianni Aguiar [UNESP] adapted locally breed biodiverse diet daily distance traveled GPS Ovis aries |
| 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 |
da Silva, Gianni Aguiar [UNESP] |
| author_facet |
da Silva, Gianni Aguiar [UNESP] Santos, Sandra Aparecida Meirelles, Paulo Roberto de Lima [UNESP] Pinheiro, Rafael Silvio Bonilha [UNESP] Gôlo, Marcos Paulo Silva Franco, Jorge Luiz Péres, Igor Alexandre Hany Fuzeta Schabib Moura, Laysa Fontes [UNESP] Costa, Ciniro [UNESP] |
| author_role |
author |
| author2 |
Santos, Sandra Aparecida Meirelles, Paulo Roberto de Lima [UNESP] Pinheiro, Rafael Silvio Bonilha [UNESP] Gôlo, Marcos Paulo Silva Franco, Jorge Luiz Péres, Igor Alexandre Hany Fuzeta Schabib Moura, Laysa Fontes [UNESP] Costa, Ciniro [UNESP] |
| author2_role |
author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) University of São Paulo |
| dc.contributor.author.fl_str_mv |
da Silva, Gianni Aguiar [UNESP] Santos, Sandra Aparecida Meirelles, Paulo Roberto de Lima [UNESP] Pinheiro, Rafael Silvio Bonilha [UNESP] Gôlo, Marcos Paulo Silva Franco, Jorge Luiz Péres, Igor Alexandre Hany Fuzeta Schabib Moura, Laysa Fontes [UNESP] Costa, Ciniro [UNESP] |
| dc.subject.por.fl_str_mv |
adapted locally breed biodiverse diet daily distance traveled GPS Ovis aries |
| topic |
adapted locally breed biodiverse diet daily distance traveled GPS Ovis aries |
| 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 |
2024-07-01 2025-04-29T18:59:05Z |
| 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://dx.doi.org/10.3390/agriculture14071154 Agriculture (Switzerland), v. 14, n. 7, 2024. 2077-0472 https://hdl.handle.net/11449/301708 10.3390/agriculture14071154 2-s2.0-85199585353 |
| url |
http://dx.doi.org/10.3390/agriculture14071154 https://hdl.handle.net/11449/301708 |
| identifier_str_mv |
Agriculture (Switzerland), v. 14, n. 7, 2024. 2077-0472 10.3390/agriculture14071154 2-s2.0-85199585353 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
Agriculture (Switzerland) |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
| instname_str |
Universidade Estadual Paulista (UNESP) |
| instacron_str |
UNESP |
| institution |
UNESP |
| reponame_str |
Repositório Institucional da UNESP |
| collection |
Repositório Institucional da UNESP |
| repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
| repository.mail.fl_str_mv |
repositoriounesp@unesp.br |
| _version_ |
1834482610085036032 |