Tracking Free-Ranging Pantaneiro Sheep during Extreme Drought in the Pantanal through Precision Technologies

Detalhes bibliográficos
Autor(a) principal: da Silva, Gianni Aguiar [UNESP]
Data de Publicação: 2024
Outros Autores: 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]
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.
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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
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