Monitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambuco
| Ano de defesa: | 2016 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | , , , |
| Tipo de documento: | Tese |
| Tipo de acesso: | Acesso aberto |
| dARK ID: | ark:/57462/001300000kz63 |
| Idioma: | por |
| Instituição de defesa: |
Universidade Federal Rural de Pernambuco
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Zootecnia
|
| Departamento: |
Departamento de Zootecnia
|
| País: |
Brasil
|
| Palavras-chave em Português: | |
| Área do conhecimento CNPq: | |
| Link de acesso: | http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9779 |
Resumo: | The objective was to monitor the nutritional value of small ruminant diet using spectroscopic reflectance near-infrared (NIRS) and characterize grazing Caatinga. The survey was conducted from january to december 2014, at the Estação Experimental in Sertânia, belonging to Instituto Agronômico de Pernambuco –IPA, in the municipality of Sertânia, Pernambuco (PE), in an area of 37 hectares of Caatinga. In the experimental area, seven parallel transects strokes. They were marked in each transect evaluation points every 20 meters, totaling 136 points of evaluation of botanical composition, availability of strata and taking samples for chemical composition. To determine the nutritional value of the diet, it was used five sheep and six goats, all with permanent fistula in the rumen and average weight of 32,35 + 2,37 and 32,68 + 1,14 kg, respectively. The animals were loose in the pasture 7:00 hours and 17:00 hours collected, received mineral salt and water ad libitum for five consecutive days each month of collection. The total production of feces was obitida by total collection utilizandos bags adapted to animals. The dry matter intake was obtained by the inverse calculation of digestibility: Consumption (kg DM / day) = fecal production / (1-digestibility). The CMS was calculated from other inputs MO, MM, FDN and FDA by multiplying the amount of dry matter consumed by the percentage of each nutrient extrusa. To obtain spectra of the samples was used FOSS 5000 Nirsystem II machine using ISIScan® software. Foss 5000, with reading in a range from 1100 to 2500 nm in the near infrared region, with 2 nm spectral range. Were scanned in all fecal samples 660, 360 with respect faeces of 300 goats and ovine species for obtaining the spectra. They were calibrated prediction equations for a Global Model (goats and sheep in different seasons) model using composite samples, separating species (goats and sheep), separating the seasons (rain, trasição dry rain, drought and trasição dry rain) and separating species insides of seasons (dry and wet). The near-infrared spectroscopy (NIR) provides good accuracy to determine the composition of PB and DIVMO the lies of small ruminant grazing in the Caatinga. The floristic composition of the Caatinga has large amounts of plant species, mostly endemic plants. The availability of biomass and chemical composition vary directly by the presence or absence of rain and decreasing or increasing the disponibinilidade and the chemical composition of all strata. In vitro dry matter digestibility and in vitro digestibility of organic matter to lay the sheep are larger than the goat when grazing in the Caatinga, in the months of highest incidence rainfall and are influenced by the absence of rain, the sheep, there is more variation throughout the year than the goat. The protein content of the diet of sheep and goats grazing in the Caatinga are above the minimum, described for these species, with much of this nitrogen connected to fiber. The use of a global model for both species, in different seasons (rain, TCS, Drought and TSC) is considered feasible to predict the diet of small ruminants in the Caatinga due to greater robustness of the model. The fecal NIRS technology proved to be a great alternative to partial substitution of fistulated animals in sample collection, since the calibration is done correctly. Even in heterogeneous environments such as Caatinga, the NIR has proven effective, with the limit of its use sampling in the calibration. |
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BATISTA, Ângela Maria VieiraBOMFIM, Marco Aurélio DelmontesMESQUITA, Fernando Lucas TorresGUIM, AdrianaMEDEIROS, Ariosvaldo Nunes deSILVA, Maria Josilaine Matos dos SantosCARVALHO, Francisco Fernando Ramos dehttp://lattes.cnpq.br/2602596311898420MACIEL, Michel do Vale2025-09-18T13:42:32Z2016-02-26MACIEL, Michel do Vale. Monitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambuco. 2016. 135 f. Tese (Programa de Pós-Graduação em Zootecnia) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9779ark:/57462/001300000kz63The objective was to monitor the nutritional value of small ruminant diet using spectroscopic reflectance near-infrared (NIRS) and characterize grazing Caatinga. The survey was conducted from january to december 2014, at the Estação Experimental in Sertânia, belonging to Instituto Agronômico de Pernambuco –IPA, in the municipality of Sertânia, Pernambuco (PE), in an area of 37 hectares of Caatinga. In the experimental area, seven parallel transects strokes. They were marked in each transect evaluation points every 20 meters, totaling 136 points of evaluation of botanical composition, availability of strata and taking samples for chemical composition. To determine the nutritional value of the diet, it was used five sheep and six goats, all with permanent fistula in the rumen and average weight of 32,35 + 2,37 and 32,68 + 1,14 kg, respectively. The animals were loose in the pasture 7:00 hours and 17:00 hours collected, received mineral salt and water ad libitum for five consecutive days each month of collection. The total production of feces was obitida by total collection utilizandos bags adapted to animals. The dry matter intake was obtained by the inverse calculation of digestibility: Consumption (kg DM / day) = fecal production / (1-digestibility). The CMS was calculated from other inputs MO, MM, FDN and FDA by multiplying the amount of dry matter consumed by the percentage of each nutrient extrusa. To obtain spectra of the samples was used FOSS 5000 Nirsystem II machine using ISIScan® software. Foss 5000, with reading in a range from 1100 to 2500 nm in the near infrared region, with 2 nm spectral range. Were scanned in all fecal samples 660, 360 with respect faeces of 300 goats and ovine species for obtaining the spectra. They were calibrated prediction equations for a Global Model (goats and sheep in different seasons) model using composite samples, separating species (goats and sheep), separating the seasons (rain, trasição dry rain, drought and trasição dry rain) and separating species insides of seasons (dry and wet). The near-infrared spectroscopy (NIR) provides good accuracy to determine the composition of PB and DIVMO the lies of small ruminant grazing in the Caatinga. The floristic composition of the Caatinga has large amounts of plant species, mostly endemic plants. The availability of biomass and chemical composition vary directly by the presence or absence of rain and decreasing or increasing the disponibinilidade and the chemical composition of all strata. In vitro dry matter digestibility and in vitro digestibility of organic matter to lay the sheep are larger than the goat when grazing in the Caatinga, in the months of highest incidence rainfall and are influenced by the absence of rain, the sheep, there is more variation throughout the year than the goat. The protein content of the diet of sheep and goats grazing in the Caatinga are above the minimum, described for these species, with much of this nitrogen connected to fiber. The use of a global model for both species, in different seasons (rain, TCS, Drought and TSC) is considered feasible to predict the diet of small ruminants in the Caatinga due to greater robustness of the model. The fecal NIRS technology proved to be a great alternative to partial substitution of fistulated animals in sample collection, since the calibration is done correctly. Even in heterogeneous environments such as Caatinga, the NIR has proven effective, with the limit of its use sampling in the calibration.Objetivou-se monitorar o valor nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS). A pesquisa foi realizada de janeiro a dezembro de 2014, na Estação Experimental de Sertânia, pertencente ao Instituto Agronômico de Pernambuco - IPA, no município de Sertânia, Pernambuco (PE), em uma área de 37 hectares de Caatinga. Na área experimental foram traçados sete transectos paralelos. Foram marcados, em cada transecto, pontos de avaliação a cada 20 metros, totalizando 136 pontos de avaliação da composição botânica, disponibilidade de fitomassa dos estratos e retirada de amostras para composição química. Para determinação do valor nutritivo da dieta, foram utilizados cinco ovinos e seis caprinos, todos com fístula permanente no rúmen e peso médio de 32,35+2,37 e 32,68+1,14 kg, respectivamente. Os animais foram soltos na pastagem às 7:00 horas e recolhidos às 17:00 horas, receberam sal mineral e água ad libitum. As coletas de fezes e extrusas se seguiram durante cinco dias consecutivos em cada mês de coleta. A produção total de fezes foi obtida através da coleta total utilizandos bolsas adaptadas aos animais. O consumo de matéria seca foi obtido pelo cálculo inverso da digestibilidade: Consumo (kg/dia de MS) = Produção fecal / (1-Digestibilidade). A partir do CMS foram calculados os consumos dos nutrientes MO, PB, FDN, FDA, CHOT e CNF, multiplicando a quantidade de matéria seca consumida pelo percentual de cada um dos nutrientes da extrusa. Para obtenção dos espectros das amostras, foi utilizado o aparelho FOSS 5000 Nirsystem II utilizando o software ISIScan®. Foss 5000, com leitura numa faixa de 1100 a 2500 nm na região do infravermelho próximo, com intervalo espectral de 2 nm. Foram escaneadas ao todo 660 amostras de fezes, sendo, 360 referentes a fezes da espécie caprina e 300 a fezes da espécie ovina, para a obtenção dos espectros. Foram calibradas equações de predição para um modelo Global (caprinos e ovinos nas diferentes estações), modelo utilizando amostras compostas, um modelo separando as espécies (caprinos e ovinos) e um modelo separando as estações (chuva, trasição chuva seca, seca e trasição seca chuva), além de separar as espécies dentros das estações (seca e chuva). A espectroscopia de infravermelho próximo (NIR) proporciona boa precisão para determinar a composição de PB e DIVMO da dieta de pequenos ruminantes pastejando na caatinga. A composição florística da Caatinga possui grandes quantidades de espécies de planta, em sua maioria plantas endêmicas. A disponibilidade da fitomassa e a composição bromatológica variam diretamente pela presença e ou ausência de chuvas, diminuindo ou aumentado a disponibinilidade e a composição química de todos os estratos. A digestibilidade in vitro da matéria seca e digestibilidade in vitro da matéria orgânica a deita dos ovinos são maiores do que a dos caprinos, porém o sem alterações no desempenho entre as espécies, quando pastejando na Caatinga, nos meses de maior incidência pluviométrica e são influenciadas pela ausência de chuvas; nos ovinos existe maior variação, ao longo do ano, do que a dos caprinos. Os teores de proteína da dieta de ovinos e caprinos, pastejando na Caatinga são superiores aos mínimos, descritos para estas espécies, com grande parte deste nitrogênio ligado a fibra. A utilização de um modelo global para as duas espécies, nas diferentes estações (Chuva, TCS, Seca e TSC) é considerado viável para predizer a dieta de pequenos ruminantes na Caatinga, devido a maior robustez do modelo. A tecnologia NIRS fecal mostrou-se uma grande alternativa para substituição parcial do uso de animais fistulados na coleta de amostra, desde que seja feita a calibração corretamente. Mesmo em ambientes heterogêneos como o de Caatinga, o NIR se mostrou eficaz, sendo o limite de sua utilização o método de amostragem na calibração.Submitted by Mario BC (mario@bc.ufrpe.br) on 2025-09-18T13:42:32Z No. of bitstreams: 1 Michel do Vale Maciel.pdf: 3663872 bytes, checksum: 4d71e9ee7899c5af556ec4c1cbc8275a (MD5)Made available in DSpace on 2025-09-18T13:42:32Z (GMT). No. of bitstreams: 1 Michel do Vale Maciel.pdf: 3663872 bytes, checksum: 4d71e9ee7899c5af556ec4c1cbc8275a (MD5) Previous issue date: 2016-02-26Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Federal Rural de PernambucoPrograma de Pós-Graduação em ZootecniaUFRPEBrasilDepartamento de ZootecniaNutrição animalCaprinoOvinoValor nutritivoMonitoramento nutricionalCIENCIAS AGRARIAS::ZOOTECNIAMonitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambucoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis-3881065194686295060600600600600-768565415068297243213468589812708456022075167498588264571info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRPEinstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEORIGINALMichel do Vale Maciel.pdfMichel do Vale Maciel.pdfapplication/pdf3663872http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/9779/2/Michel+do+Vale+Maciel.pdf4d71e9ee7899c5af556ec4c1cbc8275aMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/9779/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede2/97792025-09-18 10:42:32.525oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.tede2.ufrpe.br:8080/tede/PUBhttp://www.tede2.ufrpe.br:8080/oai/requestbdtd@ufrpe.br ||bdtd@ufrpe.bropendoar:2025-09-18T13:42:32Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE)false |
| dc.title.por.fl_str_mv |
Monitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambuco |
| title |
Monitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambuco |
| spellingShingle |
Monitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambuco MACIEL, Michel do Vale Nutrição animal Caprino Ovino Valor nutritivo Monitoramento nutricional CIENCIAS AGRARIAS::ZOOTECNIA |
| title_short |
Monitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambuco |
| title_full |
Monitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambuco |
| title_fullStr |
Monitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambuco |
| title_full_unstemmed |
Monitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambuco |
| title_sort |
Monitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambuco |
| author |
MACIEL, Michel do Vale |
| author_facet |
MACIEL, Michel do Vale |
| author_role |
author |
| dc.contributor.advisor1.fl_str_mv |
BATISTA, Ângela Maria Vieira |
| dc.contributor.advisor-co1.fl_str_mv |
BOMFIM, Marco Aurélio Delmontes |
| dc.contributor.advisor-co2.fl_str_mv |
MESQUITA, Fernando Lucas Torres |
| dc.contributor.referee1.fl_str_mv |
GUIM, Adriana |
| dc.contributor.referee2.fl_str_mv |
MEDEIROS, Ariosvaldo Nunes de |
| dc.contributor.referee3.fl_str_mv |
SILVA, Maria Josilaine Matos dos Santos |
| dc.contributor.referee4.fl_str_mv |
CARVALHO, Francisco Fernando Ramos de |
| dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/2602596311898420 |
| dc.contributor.author.fl_str_mv |
MACIEL, Michel do Vale |
| contributor_str_mv |
BATISTA, Ângela Maria Vieira BOMFIM, Marco Aurélio Delmontes MESQUITA, Fernando Lucas Torres GUIM, Adriana MEDEIROS, Ariosvaldo Nunes de SILVA, Maria Josilaine Matos dos Santos CARVALHO, Francisco Fernando Ramos de |
| dc.subject.por.fl_str_mv |
Nutrição animal Caprino Ovino Valor nutritivo Monitoramento nutricional |
| topic |
Nutrição animal Caprino Ovino Valor nutritivo Monitoramento nutricional CIENCIAS AGRARIAS::ZOOTECNIA |
| dc.subject.cnpq.fl_str_mv |
CIENCIAS AGRARIAS::ZOOTECNIA |
| description |
The objective was to monitor the nutritional value of small ruminant diet using spectroscopic reflectance near-infrared (NIRS) and characterize grazing Caatinga. The survey was conducted from january to december 2014, at the Estação Experimental in Sertânia, belonging to Instituto Agronômico de Pernambuco –IPA, in the municipality of Sertânia, Pernambuco (PE), in an area of 37 hectares of Caatinga. In the experimental area, seven parallel transects strokes. They were marked in each transect evaluation points every 20 meters, totaling 136 points of evaluation of botanical composition, availability of strata and taking samples for chemical composition. To determine the nutritional value of the diet, it was used five sheep and six goats, all with permanent fistula in the rumen and average weight of 32,35 + 2,37 and 32,68 + 1,14 kg, respectively. The animals were loose in the pasture 7:00 hours and 17:00 hours collected, received mineral salt and water ad libitum for five consecutive days each month of collection. The total production of feces was obitida by total collection utilizandos bags adapted to animals. The dry matter intake was obtained by the inverse calculation of digestibility: Consumption (kg DM / day) = fecal production / (1-digestibility). The CMS was calculated from other inputs MO, MM, FDN and FDA by multiplying the amount of dry matter consumed by the percentage of each nutrient extrusa. To obtain spectra of the samples was used FOSS 5000 Nirsystem II machine using ISIScan® software. Foss 5000, with reading in a range from 1100 to 2500 nm in the near infrared region, with 2 nm spectral range. Were scanned in all fecal samples 660, 360 with respect faeces of 300 goats and ovine species for obtaining the spectra. They were calibrated prediction equations for a Global Model (goats and sheep in different seasons) model using composite samples, separating species (goats and sheep), separating the seasons (rain, trasição dry rain, drought and trasição dry rain) and separating species insides of seasons (dry and wet). The near-infrared spectroscopy (NIR) provides good accuracy to determine the composition of PB and DIVMO the lies of small ruminant grazing in the Caatinga. The floristic composition of the Caatinga has large amounts of plant species, mostly endemic plants. The availability of biomass and chemical composition vary directly by the presence or absence of rain and decreasing or increasing the disponibinilidade and the chemical composition of all strata. In vitro dry matter digestibility and in vitro digestibility of organic matter to lay the sheep are larger than the goat when grazing in the Caatinga, in the months of highest incidence rainfall and are influenced by the absence of rain, the sheep, there is more variation throughout the year than the goat. The protein content of the diet of sheep and goats grazing in the Caatinga are above the minimum, described for these species, with much of this nitrogen connected to fiber. The use of a global model for both species, in different seasons (rain, TCS, Drought and TSC) is considered feasible to predict the diet of small ruminants in the Caatinga due to greater robustness of the model. The fecal NIRS technology proved to be a great alternative to partial substitution of fistulated animals in sample collection, since the calibration is done correctly. Even in heterogeneous environments such as Caatinga, the NIR has proven effective, with the limit of its use sampling in the calibration. |
| publishDate |
2016 |
| dc.date.issued.fl_str_mv |
2016-02-26 |
| dc.date.accessioned.fl_str_mv |
2025-09-18T13:42:32Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
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MACIEL, Michel do Vale. Monitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambuco. 2016. 135 f. Tese (Programa de Pós-Graduação em Zootecnia) - Universidade Federal Rural de Pernambuco, Recife. |
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http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9779 |
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MACIEL, Michel do Vale. Monitoramento nutricional da dieta de pequenos ruminantes utilizando espectroscopia da reflectância do infravermelho próximo (NIRS) no sertão de Pernambuco. 2016. 135 f. Tese (Programa de Pós-Graduação em Zootecnia) - Universidade Federal Rural de Pernambuco, Recife. ark:/57462/001300000kz63 |
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Universidade Federal Rural de Pernambuco |
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UFRPE |
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Departamento de Zootecnia |
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Universidade Federal Rural de Pernambuco |
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