Delimitation of guava water productivity in the Brazilian Northeast.

Detalhes bibliográficos
Autor(a) principal: TEIXEIRA, A. H. de C.
Data de Publicação: 2012
Outros Autores: HERNANDEZ, F. B. T.
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/937467
Resumo: The intensification of agricultural crops in the Brazilian northeast results in a change of natural vegetation, making the quantification and evaluation of the additional water use important. Applications of a Geographic Information System (GIS) are presented in this paper to estimate the guava water productivity (GWP) on a large scale. Long-term weather data were used together with regression models involving crop coefficient (Kc), reference evapotranspiration (ET0) and accumulated degree days (DDac) to quantify the guava water requirements (GWR) in the Brazilian Northeast producer states, considering an average growing season of six months and the cultivar ‘Paluma’ as a reference. By coupling GWR data with total precipitation for a growing season, it was possible to quantify the guava water deficit (GWD) giving an estimate about irrigation needs. Considering the whole region, the variation of the averaged GWD values ranged from 50 mm for pruning dates in January to 520 mm, with pruning done in May. Associating the average GWR values with yield data for 2010 from the Brazilian Geographical and Statistical Institute (IBGE), the average biophysical and economic values of GWP were estimated for each guava producer state. The biophysical values were 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 ranged from 0.40 to 3.18 R$ m-3 for the same pruning periods, however, with the lowest averaged value being for Paraíba state. The states of Pernambuco, Bahia and Piauí presented the largest biophysical and economic GWP values. The spatially presented analyses can subsidize programs for the expansion of rainfed guava crop as well as water allocation criteria under irrigation conditions, aiming at improvements for water resource use.
id EMBR_6887d85e0539868303b4f0dc40d6eb9f
oai_identifier_str oai:www.alice.cnptia.embrapa.br:doc/937467
network_acronym_str EMBR
network_name_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository_id_str 2154
spelling Delimitation of guava water productivity in the Brazilian Northeast.Graus-diasModelagemGuavaGoiabaÁguaEvapotranspiraçãoRecurso HídricoGuavasPsidiumThe intensification of agricultural crops in the Brazilian northeast results in a change of natural vegetation, making the quantification and evaluation of the additional water use important. Applications of a Geographic Information System (GIS) are presented in this paper to estimate the guava water productivity (GWP) on a large scale. Long-term weather data were used together with regression models involving crop coefficient (Kc), reference evapotranspiration (ET0) and accumulated degree days (DDac) to quantify the guava water requirements (GWR) in the Brazilian Northeast producer states, considering an average growing season of six months and the cultivar ‘Paluma’ as a reference. By coupling GWR data with total precipitation for a growing season, it was possible to quantify the guava water deficit (GWD) giving an estimate about irrigation needs. Considering the whole region, the variation of the averaged GWD values ranged from 50 mm for pruning dates in January to 520 mm, with pruning done in May. Associating the average GWR values with yield data for 2010 from the Brazilian Geographical and Statistical Institute (IBGE), the average biophysical and economic values of GWP were estimated for each guava producer state. The biophysical values were 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 ranged from 0.40 to 3.18 R$ m-3 for the same pruning periods, however, with the lowest averaged value being for Paraíba state. The states of Pernambuco, Bahia and Piauí presented the largest biophysical and economic GWP values. The spatially presented analyses can subsidize programs for the expansion of rainfed guava crop as well as water allocation criteria under irrigation conditions, aiming at improvements for water resource use.Edição do Proceedings of the III International Symposium on Guava and other Myrtaceae, Petrolina, sept. 2012.ANTONIO HERIBERTO DE C TEIXEIRA, CPATSA.TEIXEIRA, A. H. de C.HERNANDEZ, F. B. T.2012-10-22T11:11:11Z2012-10-22T11:11:11Z2012-10-2220122018-07-09T11:11:11ZArtigo em anais e proceedingsinfo:eu-repo/semantics/publishedVersionActa Horticulturae, Leuven, n. 959, p. 179-186, sept. 2012.http://www.alice.cnptia.embrapa.br/alice/handle/doc/937467enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-15T23:18:36Zoai:www.alice.cnptia.embrapa.br:doc/937467Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-15T23:18:36Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Delimitation of guava water productivity in the Brazilian Northeast.
title Delimitation of guava water productivity in the Brazilian Northeast.
spellingShingle Delimitation of guava water productivity in the Brazilian Northeast.
TEIXEIRA, A. H. de C.
Graus-dias
Modelagem
Guava
Goiaba
Água
Evapotranspiração
Recurso Hídrico
Guavas
Psidium
title_short Delimitation of guava water productivity in the Brazilian Northeast.
title_full Delimitation of guava water productivity in the Brazilian Northeast.
title_fullStr Delimitation of guava water productivity in the Brazilian Northeast.
title_full_unstemmed Delimitation of guava water productivity in the Brazilian Northeast.
title_sort Delimitation of guava water productivity in the Brazilian Northeast.
author TEIXEIRA, A. H. de C.
author_facet TEIXEIRA, A. H. de C.
HERNANDEZ, F. B. T.
author_role author
author2 HERNANDEZ, F. B. T.
author2_role author
dc.contributor.none.fl_str_mv ANTONIO HERIBERTO DE C TEIXEIRA, CPATSA.
dc.contributor.author.fl_str_mv TEIXEIRA, A. H. de C.
HERNANDEZ, F. B. T.
dc.subject.por.fl_str_mv Graus-dias
Modelagem
Guava
Goiaba
Água
Evapotranspiração
Recurso Hídrico
Guavas
Psidium
topic Graus-dias
Modelagem
Guava
Goiaba
Água
Evapotranspiração
Recurso Hídrico
Guavas
Psidium
description The intensification of agricultural crops in the Brazilian northeast results in a change of natural vegetation, making the quantification and evaluation of the additional water use important. Applications of a Geographic Information System (GIS) are presented in this paper to estimate the guava water productivity (GWP) on a large scale. Long-term weather data were used together with regression models involving crop coefficient (Kc), reference evapotranspiration (ET0) and accumulated degree days (DDac) to quantify the guava water requirements (GWR) in the Brazilian Northeast producer states, considering an average growing season of six months and the cultivar ‘Paluma’ as a reference. By coupling GWR data with total precipitation for a growing season, it was possible to quantify the guava water deficit (GWD) giving an estimate about irrigation needs. Considering the whole region, the variation of the averaged GWD values ranged from 50 mm for pruning dates in January to 520 mm, with pruning done in May. Associating the average GWR values with yield data for 2010 from the Brazilian Geographical and Statistical Institute (IBGE), the average biophysical and economic values of GWP were estimated for each guava producer state. The biophysical values were 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 ranged from 0.40 to 3.18 R$ m-3 for the same pruning periods, however, with the lowest averaged value being for Paraíba state. The states of Pernambuco, Bahia and Piauí presented the largest biophysical and economic GWP values. The spatially presented analyses can subsidize programs for the expansion of rainfed guava crop as well as water allocation criteria under irrigation conditions, aiming at improvements for water resource use.
publishDate 2012
dc.date.none.fl_str_mv 2012-10-22T11:11:11Z
2012-10-22T11:11:11Z
2012-10-22
2012
2018-07-09T11:11:11Z
dc.type.driver.fl_str_mv Artigo em anais e proceedings
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv Acta Horticulturae, Leuven, n. 959, p. 179-186, sept. 2012.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/937467
identifier_str_mv Acta Horticulturae, Leuven, n. 959, p. 179-186, sept. 2012.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/937467
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
_version_ 1822720909179355136