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Registro Completo |
Biblioteca(s): |
Embrapa Caprinos e Ovinos; Embrapa Meio-Norte. |
Data corrente: |
31/01/2018 |
Data da última atualização: |
10/01/2019 |
Tipo da produção científica: |
Comunicado Técnico/Recomendações Técnicas |
Autoria: |
GUEDES, F. L.; PONTE FILHO, F. A. M. da; GAMA, L. B. dos S.; SOUZA, H. A. de; POMPEU, R. C. F. F. |
Afiliação: |
FERNANDO LISBOA GUEDES, CNPC; FRANCISCO AUGUSTO MACHADO DA PONTE FILHO; LUANA BRENA DOS SANTOS GAMA, Graduação - Universidade Estadual Vale do Acaraú (UVA) - Sobral, CE; LUANA BRENA DOS SANTOS GAMA, CPAMN; ROBERTO CLAUDIO FERNANDES F POMPEU, CNPC. |
Título: |
Metodologia para determinação do estresse hídrico em feijão guandu em solos com diferente textura no Semiárido cearense. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Sobral: Embrapa Caprinos e Ovinos, 2017. |
Páginas: |
6 p. |
Série: |
(Embrapa Caprinos e Ovinos. Comunicado Técnico, 164). |
Idioma: |
Português |
Palavras-Chave: |
Brasil; Desempenho produtivo; Estresse hídrico; Semiárido. |
Thesagro: |
Cajanus Cajan; Guandu; Matéria seca; Resistência a seca; Seleção. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/171922/1/cnpc-2017-COT-164.pdf
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Marc: |
LEADER 00875nam a2200277 a 4500 001 2086782 005 2019-01-10 008 2017 bl uuuu u0uu1 u #d 100 1 $aGUEDES, F. L. 245 $aMetodologia para determinação do estresse hídrico em feijão guandu em solos com diferente textura no Semiárido cearense.$h[electronic resource] 260 $aSobral: Embrapa Caprinos e Ovinos$c2017 300 $a6 p. 490 $a(Embrapa Caprinos e Ovinos. Comunicado Técnico, 164). 650 $aCajanus Cajan 650 $aGuandu 650 $aMatéria seca 650 $aResistência a seca 650 $aSeleção 653 $aBrasil 653 $aDesempenho produtivo 653 $aEstresse hídrico 653 $aSemiárido 700 1 $aPONTE FILHO, F. A. M. da 700 1 $aGAMA, L. B. dos S. 700 1 $aSOUZA, H. A. de 700 1 $aPOMPEU, R. C. F. F.
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Embrapa Caprinos e Ovinos (CNPC) |
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Registro Completo
Biblioteca(s): |
Embrapa Suínos e Aves. |
Data corrente: |
19/04/2023 |
Data da última atualização: |
19/04/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 3 |
Autoria: |
TAVARES, J. M. R.; LOPES, J. da C.; BELLI FILHO, P.; COLDEBELLA, A.; OLIVEIRA, P. A. V. de. |
Afiliação: |
JORGE MANUEL RODRIGUES TAVARES, Instituto Politécnico de Beja; JANICE DA CONCEIÇÃO LOPES, Universidade da Beira Interior; PAULO BELLI FILHO, Universidade Federal de Santa Catarina; ARLEI COLDEBELLA, CNPSA; PAULO ARMANDO VICTORIA DE OLIVEIRA, CNPSA. |
Título: |
Water disappearance and manure production at growing?finishing commercial pig farms in Brazil a simplified model approach. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Water, v. 15, n. 278, 2023. |
DOI: |
https://doi.org/10.3390/w15020278 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: The aim of this study was to fit water disappearance and manure production curves at growing?finishing commercial pig farms and compare the curve that best describes the evolution of parameters evaluated, according to three variables: age, body weight, and pigs? housing period. Accordingly, 33 production cycles were evaluated considering a housing period of 105 days (13,276 pigs?nine weeks old and 24.5 kg average body weight) during 13 months in 15 commercial pig farms located in southern Brazil. The variables analyzed were used to adjust the water disappearance and manure production curves (Brody, Gompertz, Logistic, Richards, and Von Bertalanffy) and to estimate its biological parameters according to the NLMIXED SAS procedures. It was found that the Logistic model was the one that best described both the water disappearance and the manure production, displaying an asymptotic adjustment and estimated values measured in farms, e.g., pigs age (water: R² = 0.989, absolute error: 1.11 L/pig/day, and prediction error = 1.32%; manure: R² = 0.995, absolute error = 0.04 L/pig/day, and prediction error = 0.96%). It is emphasized that the models determined in this research are the basis of the development of an instantaneous measuring device that allows the producer to visualize both the water disappearance (plotting the daily measures) as well as manure production in the farm and compare the values with the estimated curves. |
Palavras-Chave: |
Granjas comerciais de suínos; Manure production; Pig production; Produção de estrume. |
Thesagro: |
Abastecimento de Água; Dejeto; Disponibilidade de Água; Esterco; Fator de Crescimento; Produção Animal; Suinocultura. |
Thesaurus NAL: |
Animal growth; Commercial farms; Groundwater; Growth and development; Nonlinear models; Rural water supply; Swine production. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1153228/1/final10128.pdf
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Marc: |
LEADER 02647naa a2200397 a 4500 001 2153228 005 2023-04-19 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3390/w15020278$2DOI 100 1 $aTAVARES, J. M. R. 245 $aWater disappearance and manure production at growing?finishing commercial pig farms in Brazil a simplified model approach.$h[electronic resource] 260 $c2023 520 $aAbstract: The aim of this study was to fit water disappearance and manure production curves at growing?finishing commercial pig farms and compare the curve that best describes the evolution of parameters evaluated, according to three variables: age, body weight, and pigs? housing period. Accordingly, 33 production cycles were evaluated considering a housing period of 105 days (13,276 pigs?nine weeks old and 24.5 kg average body weight) during 13 months in 15 commercial pig farms located in southern Brazil. The variables analyzed were used to adjust the water disappearance and manure production curves (Brody, Gompertz, Logistic, Richards, and Von Bertalanffy) and to estimate its biological parameters according to the NLMIXED SAS procedures. It was found that the Logistic model was the one that best described both the water disappearance and the manure production, displaying an asymptotic adjustment and estimated values measured in farms, e.g., pigs age (water: R² = 0.989, absolute error: 1.11 L/pig/day, and prediction error = 1.32%; manure: R² = 0.995, absolute error = 0.04 L/pig/day, and prediction error = 0.96%). It is emphasized that the models determined in this research are the basis of the development of an instantaneous measuring device that allows the producer to visualize both the water disappearance (plotting the daily measures) as well as manure production in the farm and compare the values with the estimated curves. 650 $aAnimal growth 650 $aCommercial farms 650 $aGroundwater 650 $aGrowth and development 650 $aNonlinear models 650 $aRural water supply 650 $aSwine production 650 $aAbastecimento de Água 650 $aDejeto 650 $aDisponibilidade de Água 650 $aEsterco 650 $aFator de Crescimento 650 $aProdução Animal 650 $aSuinocultura 653 $aGranjas comerciais de suínos 653 $aManure production 653 $aPig production 653 $aProdução de estrume 700 1 $aLOPES, J. da C. 700 1 $aBELLI FILHO, P. 700 1 $aCOLDEBELLA, A. 700 1 $aOLIVEIRA, P. A. V. de 773 $tWater$gv. 15, n. 278, 2023.
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