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Registro Completo |
Biblioteca(s): |
Embrapa Caprinos e Ovinos; Embrapa Unidades Centrais. |
Data corrente: |
14/09/2007 |
Data da última atualização: |
07/05/2024 |
Tipo da produção científica: |
Documentos |
Autoria: |
VIEIRA, L. da S. |
Afiliação: |
LUIZ DA SILVA VIEIRA, CNPC. |
Título: |
Endoparasitoses gastrintestinais em caprinos e ovinos. |
Ano de publicação: |
2005 |
Fonte/Imprenta: |
Sobral: Embrapa Caprinos, 2005. |
Páginas: |
32 p. |
Descrição Física: |
il. |
Série: |
(Embrapa Caprinos. Documentos, 58). |
Idioma: |
Português |
Conteúdo: |
O presente trabalho trata de informações sobre a eimeriose e a verminose, abrangendo as características das referidas doenças, sua forma de infecção, os sintomas e prejuízos causados sobre os animais, bem como as formas de controle. Tem como objetivo básico proporcionar informações a técnicos, produtores e estudantes com interesse na matéria, com vistas a ajudar no incremento da exploração de pequenos ruminantes no Brasil. |
Palavras-Chave: |
Coccidia; Nematódeo gastrintestinal; Parasito animal. |
Thesagro: |
Caprino; Coccídeo; Doença animal; Eimeriose; Ovino; Parasitologia; Verminose. |
Thesaurus Nal: |
Animal diseases; Goats; Parasitology; Parasitoses; Sheep. |
Categoria do assunto: |
-- H Saúde e Patologia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CNPC/20252/1/doc58.pdf
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Marc: |
LEADER 01227nam a2200313 a 4500 001 1533317 005 2024-05-07 008 2005 bl uuuu u0uu1 u #d 100 1 $aVIEIRA, L. da S. 245 $aEndoparasitoses gastrintestinais em caprinos e ovinos. 260 $aSobral: Embrapa Caprinos$c2005 300 $a32 p.$cil. 490 $a(Embrapa Caprinos. Documentos, 58). 520 $aO presente trabalho trata de informações sobre a eimeriose e a verminose, abrangendo as características das referidas doenças, sua forma de infecção, os sintomas e prejuízos causados sobre os animais, bem como as formas de controle. Tem como objetivo básico proporcionar informações a técnicos, produtores e estudantes com interesse na matéria, com vistas a ajudar no incremento da exploração de pequenos ruminantes no Brasil. 650 $aAnimal diseases 650 $aGoats 650 $aParasitology 650 $aParasitoses 650 $aSheep 650 $aCaprino 650 $aCoccídeo 650 $aDoença animal 650 $aEimeriose 650 $aOvino 650 $aParasitologia 650 $aVerminose 653 $aCoccidia 653 $aNematódeo gastrintestinal 653 $aParasito animal
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Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Pesca e Aquicultura. |
Data corrente: |
12/08/2021 |
Data da última atualização: |
10/12/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
BRUNETTI, H. B.; BOOTE, K. J.; SANTOS, P. M.; PEZZOPANE, J. R. M.; PEDREIRA, C. G. S.; LARA, M. A. S.; MORENO, L. S. de B.; HOOGENBOOM, G. |
Afiliação: |
HENRIQUE B. BRUNETTI, USP-ESALQ; KENNETH J. BOOTE, UNIVERSITY OF FLORIDA; PATRICIA MENEZES SANTOS, CPPSE; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; CARLOS G. S. PEDREIRA, USP-ESALQ; MÁRCIO A. S. LARA, UFLA; LEONARDO SIMOES DE BARROS MORENO, CNPASA; GERRIT HOOGENBOOM, UNIVERSITY OF FLORIDA. |
Título: |
Improving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Agronomy Journal, v. 113, n. 4, p. 3299-3314, July/Aug. 2021. |
ISSN: |
1435-0645 |
DOI: |
https://doi.org/10.1002/agj2.20766 |
Idioma: |
Inglês |
Conteúdo: |
Tropical forage grasses are used for several applications including grazing, silage, and biofuels; with harvesting at varying phenological stages. Mechanistic simulation models can be powerful tools to assist with planning and decision making of pasture utilization strategies. The objective of this study was to improve and evaluate the ability of the Cropping System Model-CROPGRO-Perennial Forage model (CSMCROPGRO-PFM) to simulate growth and biomass partitioning of two guineagrass [Panicum maximum Jacq. syn. Megathyrsus maximus (Jacq.) BK Simon & SWL Jacobs] cultivars, Tanzânia and Mombaça. Data from two experiments with contrasting harvest management and field conditions were used. Model parameters were modified, targeting improvement in d-statistic and root mean square error (RMSE) for aboveground, leaf, stem biomass, leaf area index (LAI), and leaf proportion of aboveground biomass. Major improvement in model performance was achieved by modifying the vegetative partitioning parameters between leaf and stem through increasing partitioning to leaf during early regrowth while increasing it to stem during late regrowth. Modifications were made to parameters affecting leaf and stem senescence, leaf photosynthesis, and leaf area expansion sensitivity to cool weather. The RMSE values decreased from 2,261 to 1,768 kg ha-1 for aboveground biomass, from 1,620 to 874 kg ha-1 for stem biomass, from 11.41 to 7.27% for leaf percentage, from 1.91 to 1.68 for LAI, but increased slightly for leaf biomass. The d-statistic computed over all these variables increased from .86 to .93. The improved model performance for both short and long harvest cycles will facilitate further applications for diverse forage crops utilization strategies. MenosTropical forage grasses are used for several applications including grazing, silage, and biofuels; with harvesting at varying phenological stages. Mechanistic simulation models can be powerful tools to assist with planning and decision making of pasture utilization strategies. The objective of this study was to improve and evaluate the ability of the Cropping System Model-CROPGRO-Perennial Forage model (CSMCROPGRO-PFM) to simulate growth and biomass partitioning of two guineagrass [Panicum maximum Jacq. syn. Megathyrsus maximus (Jacq.) BK Simon & SWL Jacobs] cultivars, Tanzânia and Mombaça. Data from two experiments with contrasting harvest management and field conditions were used. Model parameters were modified, targeting improvement in d-statistic and root mean square error (RMSE) for aboveground, leaf, stem biomass, leaf area index (LAI), and leaf proportion of aboveground biomass. Major improvement in model performance was achieved by modifying the vegetative partitioning parameters between leaf and stem through increasing partitioning to leaf during early regrowth while increasing it to stem during late regrowth. Modifications were made to parameters affecting leaf and stem senescence, leaf photosynthesis, and leaf area expansion sensitivity to cool weather. The RMSE values decreased from 2,261 to 1,768 kg ha-1 for aboveground biomass, from 1,620 to 874 kg ha-1 for stem biomass, from 11.41 to 7.27% for leaf percentage, from 1.91 to 1.68 for LAI, but increased slightly... Mostrar Tudo |
Palavras-Chave: |
Growth and biomass partitioning; Mombaça; Stem biomass. |
Thesagro: |
Biomassa; Modelo de Simulação; Panicum Maximum; Pastagem. |
Thesaurus NAL: |
Forage crops; Megathyrsus maximus; Tanzania. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 02791naa a2200349 a 4500 001 2133598 005 2021-12-10 008 2021 bl uuuu u00u1 u #d 022 $a1435-0645 024 7 $ahttps://doi.org/10.1002/agj2.20766$2DOI 100 1 $aBRUNETTI, H. B. 245 $aImproving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass.$h[electronic resource] 260 $c2021 520 $aTropical forage grasses are used for several applications including grazing, silage, and biofuels; with harvesting at varying phenological stages. Mechanistic simulation models can be powerful tools to assist with planning and decision making of pasture utilization strategies. The objective of this study was to improve and evaluate the ability of the Cropping System Model-CROPGRO-Perennial Forage model (CSMCROPGRO-PFM) to simulate growth and biomass partitioning of two guineagrass [Panicum maximum Jacq. syn. Megathyrsus maximus (Jacq.) BK Simon & SWL Jacobs] cultivars, Tanzânia and Mombaça. Data from two experiments with contrasting harvest management and field conditions were used. Model parameters were modified, targeting improvement in d-statistic and root mean square error (RMSE) for aboveground, leaf, stem biomass, leaf area index (LAI), and leaf proportion of aboveground biomass. Major improvement in model performance was achieved by modifying the vegetative partitioning parameters between leaf and stem through increasing partitioning to leaf during early regrowth while increasing it to stem during late regrowth. Modifications were made to parameters affecting leaf and stem senescence, leaf photosynthesis, and leaf area expansion sensitivity to cool weather. The RMSE values decreased from 2,261 to 1,768 kg ha-1 for aboveground biomass, from 1,620 to 874 kg ha-1 for stem biomass, from 11.41 to 7.27% for leaf percentage, from 1.91 to 1.68 for LAI, but increased slightly for leaf biomass. The d-statistic computed over all these variables increased from .86 to .93. The improved model performance for both short and long harvest cycles will facilitate further applications for diverse forage crops utilization strategies. 650 $aForage crops 650 $aMegathyrsus maximus 650 $aTanzania 650 $aBiomassa 650 $aModelo de Simulação 650 $aPanicum Maximum 650 $aPastagem 653 $aGrowth and biomass partitioning 653 $aMombaça 653 $aStem biomass 700 1 $aBOOTE, K. J. 700 1 $aSANTOS, P. M. 700 1 $aPEZZOPANE, J. R. M. 700 1 $aPEDREIRA, C. G. S. 700 1 $aLARA, M. A. S. 700 1 $aMORENO, L. S. de B. 700 1 $aHOOGENBOOM, G. 773 $tAgronomy Journal$gv. 113, n. 4, p. 3299-3314, July/Aug. 2021.
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