Agroclimatic classification of the semi-arid tropics. II. Identification of classification variables.

Detalhes bibliográficos
Autor(a) principal: REDDY, S. J.
Data de Publicação: 1983
Tipo de documento: Artigo
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/132991
Resumo: Eight agroclimatic variables related to crop production potential in the semi-arid tropics of India are identified. These are used to assess dry-seeding feasibility, water-logging hazard, risk in agricultural production, cropping patterns and their spatial distribution, using data from 80 locations in India. Regression analysis has been used to identify differences between locations at different scales, i.e., local differences caused by orography, region differences associated with general circulation patterns. Using the data of 08 variables from 199 locations in India and two west African countries (Senegal and Upper Volta) three dissimilarity parameters were derived. The basic dissimilarity observed on a continental scale is that for the same amount of mean annual rainfallt the growing season is longer in west Africa than in India. Thus, in west Africa the corresponding wet and dry spells within the available effective rainy period are quite differente from India. This will have a significant influence on farming systems in general, and on the identification of adopted crop/cropping systems in particular.
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spelling Agroclimatic classification of the semi-arid tropics. II. Identification of classification variables.ClassificacaoVariacaoTropico semi-aridoAgroclimaticProductionVariationSemi-arid tropicAgriculturaClimatologiaProduçãoRiscoriskEight agroclimatic variables related to crop production potential in the semi-arid tropics of India are identified. These are used to assess dry-seeding feasibility, water-logging hazard, risk in agricultural production, cropping patterns and their spatial distribution, using data from 80 locations in India. Regression analysis has been used to identify differences between locations at different scales, i.e., local differences caused by orography, region differences associated with general circulation patterns. Using the data of 08 variables from 199 locations in India and two west African countries (Senegal and Upper Volta) three dissimilarity parameters were derived. The basic dissimilarity observed on a continental scale is that for the same amount of mean annual rainfallt the growing season is longer in west Africa than in India. Thus, in west Africa the corresponding wet and dry spells within the available effective rainy period are quite differente from India. This will have a significant influence on farming systems in general, and on the identification of adopted crop/cropping systems in particular.S. JEEVANANDA REDDY, Consultor CPATSA.REDDY, S. J.2018-07-26T00:59:01Z2018-07-26T00:59:01Z1996-07-0919832018-07-26T00:59:01Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAgricultural Meteorology, v. 30, n. 3, p. 201-219, dec. 1983.http://www.alice.cnptia.embrapa.br/alice/handle/doc/132991enginfo: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:EMBRAPA2018-07-26T00:59:08Zoai:www.alice.cnptia.embrapa.br:doc/132991Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-07-26T00:59:08falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-07-26T00:59:08Repositório 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 Agroclimatic classification of the semi-arid tropics. II. Identification of classification variables.
title Agroclimatic classification of the semi-arid tropics. II. Identification of classification variables.
spellingShingle Agroclimatic classification of the semi-arid tropics. II. Identification of classification variables.
REDDY, S. J.
Classificacao
Variacao
Tropico semi-arido
Agroclimatic
Production
Variation
Semi-arid tropic
Agricultura
Climatologia
Produção
Risco
risk
title_short Agroclimatic classification of the semi-arid tropics. II. Identification of classification variables.
title_full Agroclimatic classification of the semi-arid tropics. II. Identification of classification variables.
title_fullStr Agroclimatic classification of the semi-arid tropics. II. Identification of classification variables.
title_full_unstemmed Agroclimatic classification of the semi-arid tropics. II. Identification of classification variables.
title_sort Agroclimatic classification of the semi-arid tropics. II. Identification of classification variables.
author REDDY, S. J.
author_facet REDDY, S. J.
author_role author
dc.contributor.none.fl_str_mv S. JEEVANANDA REDDY, Consultor CPATSA.
dc.contributor.author.fl_str_mv REDDY, S. J.
dc.subject.por.fl_str_mv Classificacao
Variacao
Tropico semi-arido
Agroclimatic
Production
Variation
Semi-arid tropic
Agricultura
Climatologia
Produção
Risco
risk
topic Classificacao
Variacao
Tropico semi-arido
Agroclimatic
Production
Variation
Semi-arid tropic
Agricultura
Climatologia
Produção
Risco
risk
description Eight agroclimatic variables related to crop production potential in the semi-arid tropics of India are identified. These are used to assess dry-seeding feasibility, water-logging hazard, risk in agricultural production, cropping patterns and their spatial distribution, using data from 80 locations in India. Regression analysis has been used to identify differences between locations at different scales, i.e., local differences caused by orography, region differences associated with general circulation patterns. Using the data of 08 variables from 199 locations in India and two west African countries (Senegal and Upper Volta) three dissimilarity parameters were derived. The basic dissimilarity observed on a continental scale is that for the same amount of mean annual rainfallt the growing season is longer in west Africa than in India. Thus, in west Africa the corresponding wet and dry spells within the available effective rainy period are quite differente from India. This will have a significant influence on farming systems in general, and on the identification of adopted crop/cropping systems in particular.
publishDate 1983
dc.date.none.fl_str_mv 1983
1996-07-09
2018-07-26T00:59:01Z
2018-07-26T00:59:01Z
2018-07-26T00:59:01Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Agricultural Meteorology, v. 30, n. 3, p. 201-219, dec. 1983.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/132991
identifier_str_mv Agricultural Meteorology, v. 30, n. 3, p. 201-219, dec. 1983.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/132991
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
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