| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Semiárido. |
|
Data corrente: |
02/05/2012 |
|
Data da última atualização: |
12/06/2023 |
|
Tipo da produção científica: |
Resumo em Anais de Congresso |
|
Autoria: |
TEIXEIRA, A. H. de C.; HERNANDEZ, F. B. T. |
|
Afiliação: |
ANTONIO HERIBERTO DE C TEIXEIRA, CPATSA; FERNANDO B. T. HERNANDEZ, USP. |
|
Título: |
Delimitation of guava water productivity in the Brazilian Northeast. |
|
Ano de publicação: |
2012 |
|
Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON GUAVA AND OTHER MYRTACEAE, 3., 2012, Petrolina. Abstracts... Petrolina: Embrapa Semiárido, 2012. |
|
Páginas: |
p. 74. |
|
Série: |
(Embrapa Semiárido. Documentos, 247). |
|
Idioma: |
Inglês |
|
Conteúdo: |
The intensification of agricultural crops in the Brazilian Northeast results in a change of natural vegetation, making important the quantification and evaluation of the additional water use. Applications of a Geographic Information System (GIS) are presented in this paper to estimate guava water productivity at the large scale. Long term weather data were used together with simple regression models involving crop coefficient (Kc), reference evapotranspiration (ETo) and accumulated degree days (DDac) to quantify the guava water requirement (GWR) in the commercial production States of the Brazilian Northeast, considering growing season of six months and the cv. Paluma as reference. Coupling GWR data with total precipitation for a growing season it was possible to quantify the guava water deficit (GWD) giving an approach about irrigation needs. Considering the whole region, the variation of the averaged GWD values varied from 75 mm for pruning dates in December to 430 mm, with pruning in May. Associating the average GWR values with yield data for 2010 from the Brazilian Geographical and Statistical Institute (IBGE), the average bio-physical and economic values of guava water productivity were estimated for each guava producer state. The bio-physical values are between 0.86 and 4.95 kg m-3 for pruning dates in July and January in Rio Grande do Norte and Pernambuco states, respectively, while the economic ones were from 0.40 to 3.18 R$ m-3 for the same pruning periods, however with the lowest averaged value being for Paraíba state. Highlights are for the States of Pernambuco, Bahia and Piauí, which present both, bio-physical and economic values of guava water productivity. The analyses spatially presented, can subsidize programs for expansion of rain fed guava crop as well as water allocation criterions under irrigation conditions, when aiming improvements on water resources use in the Brazilian Northeast. MenosThe intensification of agricultural crops in the Brazilian Northeast results in a change of natural vegetation, making important the quantification and evaluation of the additional water use. Applications of a Geographic Information System (GIS) are presented in this paper to estimate guava water productivity at the large scale. Long term weather data were used together with simple regression models involving crop coefficient (Kc), reference evapotranspiration (ETo) and accumulated degree days (DDac) to quantify the guava water requirement (GWR) in the commercial production States of the Brazilian Northeast, considering growing season of six months and the cv. Paluma as reference. Coupling GWR data with total precipitation for a growing season it was possible to quantify the guava water deficit (GWD) giving an approach about irrigation needs. Considering the whole region, the variation of the averaged GWD values varied from 75 mm for pruning dates in December to 430 mm, with pruning in May. Associating the average GWR values with yield data for 2010 from the Brazilian Geographical and Statistical Institute (IBGE), the average bio-physical and economic values of guava water productivity were estimated for each guava producer state. The bio-physical values are between 0.86 and 4.95 kg m-3 for pruning dates in July and January in Rio Grande do Norte and Pernambuco states, respectively, while the economic ones were from 0.40 to 3.18 R$ m-3 for the same pruning periods, however w... Mostrar Tudo |
|
Palavras-Chave: |
Coeficiente de cultura; Graus-dias. |
|
Thesagro: |
Evapotranspiração; Goiaba. |
|
Thesaurus Nal: |
Crop coefficient; Evapotranspiration; Guavas. |
|
Categoria do assunto: |
A Sistemas de Cultivo |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/58500/1/Heriberto-2012.pdf
|
|
Marc: |
LEADER 02696nam a2200229 a 4500
001 1923423
005 2023-06-12
008 2012 bl uuuu u00u1 u #d
100 1 $aTEIXEIRA, A. H. de C.
245 $aDelimitation of guava water productivity in the Brazilian Northeast.$h[electronic resource]
260 $aIn: INTERNATIONAL SYMPOSIUM ON GUAVA AND OTHER MYRTACEAE, 3., 2012, Petrolina. Abstracts... Petrolina: Embrapa Semiárido$c2012
300 $ap. 74.
490 $a(Embrapa Semiárido. Documentos, 247).
520 $aThe intensification of agricultural crops in the Brazilian Northeast results in a change of natural vegetation, making important the quantification and evaluation of the additional water use. Applications of a Geographic Information System (GIS) are presented in this paper to estimate guava water productivity at the large scale. Long term weather data were used together with simple regression models involving crop coefficient (Kc), reference evapotranspiration (ETo) and accumulated degree days (DDac) to quantify the guava water requirement (GWR) in the commercial production States of the Brazilian Northeast, considering growing season of six months and the cv. Paluma as reference. Coupling GWR data with total precipitation for a growing season it was possible to quantify the guava water deficit (GWD) giving an approach about irrigation needs. Considering the whole region, the variation of the averaged GWD values varied from 75 mm for pruning dates in December to 430 mm, with pruning in May. Associating the average GWR values with yield data for 2010 from the Brazilian Geographical and Statistical Institute (IBGE), the average bio-physical and economic values of guava water productivity were estimated for each guava producer state. The bio-physical values are between 0.86 and 4.95 kg m-3 for pruning dates in July and January in Rio Grande do Norte and Pernambuco states, respectively, while the economic ones were from 0.40 to 3.18 R$ m-3 for the same pruning periods, however with the lowest averaged value being for Paraíba state. Highlights are for the States of Pernambuco, Bahia and Piauí, which present both, bio-physical and economic values of guava water productivity. The analyses spatially presented, can subsidize programs for expansion of rain fed guava crop as well as water allocation criterions under irrigation conditions, when aiming improvements on water resources use in the Brazilian Northeast.
650 $aCrop coefficient
650 $aEvapotranspiration
650 $aGuavas
650 $aEvapotranspiração
650 $aGoiaba
653 $aCoeficiente de cultura
653 $aGraus-dias
700 1 $aHERNANDEZ, F. B. T.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Semiárido (CPATSA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Soja. |
|
Data corrente: |
29/12/2014 |
|
Data da última atualização: |
24/02/2015 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 1 |
|
Autoria: |
MORAES, M. T. de; DEBIASI, H.; FRANCHINI, J. C.; SILVA, V. R. da. |
|
Afiliação: |
MOACIR TUZZIN DE MORAES, UFSM; HENRIQUE DEBIASI, CNPSO; JULIO CEZAR FRANCHINI DOS SANTOS, CNPSO; VANDERLEI RODRIGUES DA SILVA, UFSM. |
|
Título: |
Correction of resistance to penetration by pedofunctions and a reference soil water content. |
|
Ano de publicação: |
2012 |
|
Fonte/Imprenta: |
Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 36, n. 6, p. 1704-1713, nov./dez. 2012. |
|
ISSN: |
0100-0683 |
|
DOI: |
http://dx.doi.org/10.1590/S0100-06832012000600004 |
|
Idioma: |
Inglês |
|
Conteúdo: |
ABSTRACT: The soil penetration resistance is an important indicator of soil compaction and is strongly influenced by soil water content. The objective of this study was to develop mathematical models to normalize soil penetration resistance (SPR), using a reference value of gravimetric soil water content (U). For this purpose, SPR was determined with an impact penetrometer, in an experiment on a Dystroferric Red Latossol (Rhodic Eutrudox), at six levels of soil compaction, induced by mechanical chiseling and additional compaction by the traffic of a harvester (four, eight, 10, and 20 passes); in addition to a control treatment under no-tillage, without chiseling or additional compaction. To broaden the range of U values, SPR was evaluated in different periods. Undisturbed soil cores were sampled to quantify the soil bulk density (BD). Pedotransfer functions were generated correlating the values of U and BD to the SPR values. By these functions, the SPR was adequately corrected for all U and BD data ranges. The method requires only SPR and U as input variables in the models. However, different pedofunctions are needed according to the soil layer evaluated. After adjusting the pedotransfer functions, the differences in the soil compaction levels among the treatments, previously masked by variations of U, became detectable. RESUMO: A resistência do solo à penetração (SPR) é um dos principais indicadores do estado de compactação do solo; contudo, a SPR é altamente influenciada pelo conteúdo de água no solo. O objetivo deste trabalho foi desenvolver modelos matemáticos para a correção da SPR para um valor de umidade gravimétrica (U) de referência. Para isso, a SPR foi determinada, por meio de um penetrômetro de impacto, em um experimento instalado sobre um Latossolo Vermelho distroférrico, usando seis níveis de compactação do solo, obtidos por meio da escarificação mecânica e da compactação adicional, pelo tráfego de uma colhedora de grãos autopropelida (quatro, oito, 10 e 20 passadas), além de uma testemunha, a qual foi mantida sob sistema plantio direto sem escarificação ou compactação adicional. A fim de obter ampla variação nos valores de U, as avaliações da SPR foram realizadas em diferentes épocas. Amostras de solo com estrutura preservada foram coletadas para determinar a densidade do solo (BD). Foram geradas funções de pedotransferência relacionando os valores de SPR, de U e de BD. Usando essas funções, a correção da SPR foi satisfatória para todas as amplitudes de U e BD. O método requer apenas SPR e U como variáveis de entrada dos modelos. No entanto, são necessárias diferentes equações, em função da camada de solo avaliada. A aplicação das funções de pedotransferência, obtidas neste trabalho, permite observar diferenças no estado de compactação do solo entre os tratamentos, que antes não eram detectadas, em função de variações na U. MenosABSTRACT: The soil penetration resistance is an important indicator of soil compaction and is strongly influenced by soil water content. The objective of this study was to develop mathematical models to normalize soil penetration resistance (SPR), using a reference value of gravimetric soil water content (U). For this purpose, SPR was determined with an impact penetrometer, in an experiment on a Dystroferric Red Latossol (Rhodic Eutrudox), at six levels of soil compaction, induced by mechanical chiseling and additional compaction by the traffic of a harvester (four, eight, 10, and 20 passes); in addition to a control treatment under no-tillage, without chiseling or additional compaction. To broaden the range of U values, SPR was evaluated in different periods. Undisturbed soil cores were sampled to quantify the soil bulk density (BD). Pedotransfer functions were generated correlating the values of U and BD to the SPR values. By these functions, the SPR was adequately corrected for all U and BD data ranges. The method requires only SPR and U as input variables in the models. However, different pedofunctions are needed according to the soil layer evaluated. After adjusting the pedotransfer functions, the differences in the soil compaction levels among the treatments, previously masked by variations of U, became detectable. RESUMO: A resistência do solo à penetração (SPR) é um dos principais indicadores do estado de compactação do solo; contudo, a SPR é altamente influenciada p... Mostrar Tudo |
|
Thesagro: |
Solo. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/114550/1/Correction-of-resistance-to-penetration-by-pedofunctions-and-a-reference-soil-water-content.pdf
|
|
Marc: |
LEADER 03604naa a2200193 a 4500
001 2003828
005 2015-02-24
008 2012 bl uuuu u00u1 u #d
022 $a0100-0683
024 7 $ahttp://dx.doi.org/10.1590/S0100-06832012000600004$2DOI
100 1 $aMORAES, M. T. de
245 $aCorrection of resistance to penetration by pedofunctions and a reference soil water content.$h[electronic resource]
260 $c2012
520 $aABSTRACT: The soil penetration resistance is an important indicator of soil compaction and is strongly influenced by soil water content. The objective of this study was to develop mathematical models to normalize soil penetration resistance (SPR), using a reference value of gravimetric soil water content (U). For this purpose, SPR was determined with an impact penetrometer, in an experiment on a Dystroferric Red Latossol (Rhodic Eutrudox), at six levels of soil compaction, induced by mechanical chiseling and additional compaction by the traffic of a harvester (four, eight, 10, and 20 passes); in addition to a control treatment under no-tillage, without chiseling or additional compaction. To broaden the range of U values, SPR was evaluated in different periods. Undisturbed soil cores were sampled to quantify the soil bulk density (BD). Pedotransfer functions were generated correlating the values of U and BD to the SPR values. By these functions, the SPR was adequately corrected for all U and BD data ranges. The method requires only SPR and U as input variables in the models. However, different pedofunctions are needed according to the soil layer evaluated. After adjusting the pedotransfer functions, the differences in the soil compaction levels among the treatments, previously masked by variations of U, became detectable. RESUMO: A resistência do solo à penetração (SPR) é um dos principais indicadores do estado de compactação do solo; contudo, a SPR é altamente influenciada pelo conteúdo de água no solo. O objetivo deste trabalho foi desenvolver modelos matemáticos para a correção da SPR para um valor de umidade gravimétrica (U) de referência. Para isso, a SPR foi determinada, por meio de um penetrômetro de impacto, em um experimento instalado sobre um Latossolo Vermelho distroférrico, usando seis níveis de compactação do solo, obtidos por meio da escarificação mecânica e da compactação adicional, pelo tráfego de uma colhedora de grãos autopropelida (quatro, oito, 10 e 20 passadas), além de uma testemunha, a qual foi mantida sob sistema plantio direto sem escarificação ou compactação adicional. A fim de obter ampla variação nos valores de U, as avaliações da SPR foram realizadas em diferentes épocas. Amostras de solo com estrutura preservada foram coletadas para determinar a densidade do solo (BD). Foram geradas funções de pedotransferência relacionando os valores de SPR, de U e de BD. Usando essas funções, a correção da SPR foi satisfatória para todas as amplitudes de U e BD. O método requer apenas SPR e U como variáveis de entrada dos modelos. No entanto, são necessárias diferentes equações, em função da camada de solo avaliada. A aplicação das funções de pedotransferência, obtidas neste trabalho, permite observar diferenças no estado de compactação do solo entre os tratamentos, que antes não eram detectadas, em função de variações na U.
650 $aSolo
700 1 $aDEBIASI, H.
700 1 $aFRANCHINI, J. C.
700 1 $aSILVA, V. R. da
773 $tRevista Brasileira de Ciência do Solo, Viçosa, MG$gv. 36, n. 6, p. 1704-1713, nov./dez. 2012.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Soja (CNPSO) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
