Models for predicting broadleaf vegetable responses to green manures mixtures in semi-arid environment
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.17765/2176-9168.2022v15n4e9691 http://hdl.handle.net/11449/246118 |
Resumo: | The broadleaf vegetables require large amounts of nutrients to provide a high productivity, and quality products, mainly due to their short period of development and growth. The green manuring has emerged as a viable alternative to provide these requirements for these vegetables, mainly from spontaneous species in the Caatinga biome. Thus, the aim of this study was to evaluate and estimate the maximum physical and economic efficiencies of lettuce and arugula agro-economic characteristics in monocropping as a function of equitable quantities of Merremia aegyptia and Calotropis procera biomass mixtures at different growing seasons, using polynomial and exponential models, based on the criteria of biological logic of growth and production of the cultures, of significance of the regression mean square, of high value of the coefficient of determination (R2), of significance of the regression parameters, and of maximization of productivity and profit. The types of polynomial and exponential models chosen estimated the lettuce and arugula agro-economic characteristics with good precision and high R2 values. The maximum agronomic (physical) efficiency of the lettuce and arugula was made possible with the incorporation into the soil of 47.38 and 42.23 t ha-1 of M. aegyptia and C. procera, respectively, and the maximum economic efficiency of production for these leafy vegetables was reached with biomass amounts of 45.96 and 33.61 t ha-1, respectively. The rates of return obtained for lettuce and arugula cultivation for the optimized mixture amounts were 2.6 and 1.5 of those achieved in the control treatment (without fertilization), respectively. |
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Models for predicting broadleaf vegetable responses to green manures mixtures in semi-arid environmentModelos para predição de respostas de hortaliças folhosas a misturas de adubos verdes em ambiente semiáridoCalotropis proceraEruca sativaLactuca sativaMerremia aegyptiaOptimized agro-economic dosesThe broadleaf vegetables require large amounts of nutrients to provide a high productivity, and quality products, mainly due to their short period of development and growth. The green manuring has emerged as a viable alternative to provide these requirements for these vegetables, mainly from spontaneous species in the Caatinga biome. Thus, the aim of this study was to evaluate and estimate the maximum physical and economic efficiencies of lettuce and arugula agro-economic characteristics in monocropping as a function of equitable quantities of Merremia aegyptia and Calotropis procera biomass mixtures at different growing seasons, using polynomial and exponential models, based on the criteria of biological logic of growth and production of the cultures, of significance of the regression mean square, of high value of the coefficient of determination (R2), of significance of the regression parameters, and of maximization of productivity and profit. The types of polynomial and exponential models chosen estimated the lettuce and arugula agro-economic characteristics with good precision and high R2 values. The maximum agronomic (physical) efficiency of the lettuce and arugula was made possible with the incorporation into the soil of 47.38 and 42.23 t ha-1 of M. aegyptia and C. procera, respectively, and the maximum economic efficiency of production for these leafy vegetables was reached with biomass amounts of 45.96 and 33.61 t ha-1, respectively. The rates of return obtained for lettuce and arugula cultivation for the optimized mixture amounts were 2.6 and 1.5 of those achieved in the control treatment (without fertilization), respectively.Universidade Federal do ParáUniversidade Federal da Paraíba (UFPB) Programa de Pós-Graduação em Agronomia (PPGA) Centro de Ciências Agrárias Universidade Federal Rural do Semi-Árido (UFERSA) Programa de Pós-Graduação em Fitotecnia (PPGFITO), RNUniversity of Arizona (UofA) Universidade Estadual Paulista (UNESP) Universidade Federal Rural do Semi-Árido (UFERSA), câmpus de Jaboticabal, RNUniversidade Federal Rural do Semi Árido Universidade Federal do Semi-Árido (UFERSA), RNUniversidade Federal Rural do Semi-Árido (UFERSA) Universidade Federal Rural do Semi-Árido (UFERSA), RNInstituto Federal do CearáUniversity of Arizona (UofA) Universidade Estadual Paulista (UNESP) Universidade Federal Rural do Semi-Árido (UFERSA), câmpus de Jaboticabal, RNUniversidade Federal da Paraíba (UFPB)Universidade Estadual Paulista (UNESP)Universidade Federal do Semi-Árido (UFERSA)Universidade Federal Rural do Semi-Árido (UFERSA)Instituto Federal do CearáGuerra, Natan MedeirosNeto, Francisco Bezerra [UNESP]de Lima, Jailma Suerda Silvados Santos, Elizangela CabralNunes, Renato Leandro Costada Silva Lino, Vitor Abel2023-07-29T12:32:08Z2023-07-29T12:32:08Z2022-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.17765/2176-9168.2022v15n4e9691Revista em Agronegocio e Meio Ambiente, v. 15, n. 4, 2022.2176-91681981-9951http://hdl.handle.net/11449/24611810.17765/2176-9168.2022v15n4e96912-s2.0-85140233324Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista em Agronegocio e Meio Ambienteinfo:eu-repo/semantics/openAccess2023-07-29T12:32:08Zoai:repositorio.unesp.br:11449/246118Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T12:32:08Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Models for predicting broadleaf vegetable responses to green manures mixtures in semi-arid environment Modelos para predição de respostas de hortaliças folhosas a misturas de adubos verdes em ambiente semiárido |
title |
Models for predicting broadleaf vegetable responses to green manures mixtures in semi-arid environment |
spellingShingle |
Models for predicting broadleaf vegetable responses to green manures mixtures in semi-arid environment Guerra, Natan Medeiros Calotropis procera Eruca sativa Lactuca sativa Merremia aegyptia Optimized agro-economic doses |
title_short |
Models for predicting broadleaf vegetable responses to green manures mixtures in semi-arid environment |
title_full |
Models for predicting broadleaf vegetable responses to green manures mixtures in semi-arid environment |
title_fullStr |
Models for predicting broadleaf vegetable responses to green manures mixtures in semi-arid environment |
title_full_unstemmed |
Models for predicting broadleaf vegetable responses to green manures mixtures in semi-arid environment |
title_sort |
Models for predicting broadleaf vegetable responses to green manures mixtures in semi-arid environment |
author |
Guerra, Natan Medeiros |
author_facet |
Guerra, Natan Medeiros Neto, Francisco Bezerra [UNESP] de Lima, Jailma Suerda Silva dos Santos, Elizangela Cabral Nunes, Renato Leandro Costa da Silva Lino, Vitor Abel |
author_role |
author |
author2 |
Neto, Francisco Bezerra [UNESP] de Lima, Jailma Suerda Silva dos Santos, Elizangela Cabral Nunes, Renato Leandro Costa da Silva Lino, Vitor Abel |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal da Paraíba (UFPB) Universidade Estadual Paulista (UNESP) Universidade Federal do Semi-Árido (UFERSA) Universidade Federal Rural do Semi-Árido (UFERSA) Instituto Federal do Ceará |
dc.contributor.author.fl_str_mv |
Guerra, Natan Medeiros Neto, Francisco Bezerra [UNESP] de Lima, Jailma Suerda Silva dos Santos, Elizangela Cabral Nunes, Renato Leandro Costa da Silva Lino, Vitor Abel |
dc.subject.por.fl_str_mv |
Calotropis procera Eruca sativa Lactuca sativa Merremia aegyptia Optimized agro-economic doses |
topic |
Calotropis procera Eruca sativa Lactuca sativa Merremia aegyptia Optimized agro-economic doses |
description |
The broadleaf vegetables require large amounts of nutrients to provide a high productivity, and quality products, mainly due to their short period of development and growth. The green manuring has emerged as a viable alternative to provide these requirements for these vegetables, mainly from spontaneous species in the Caatinga biome. Thus, the aim of this study was to evaluate and estimate the maximum physical and economic efficiencies of lettuce and arugula agro-economic characteristics in monocropping as a function of equitable quantities of Merremia aegyptia and Calotropis procera biomass mixtures at different growing seasons, using polynomial and exponential models, based on the criteria of biological logic of growth and production of the cultures, of significance of the regression mean square, of high value of the coefficient of determination (R2), of significance of the regression parameters, and of maximization of productivity and profit. The types of polynomial and exponential models chosen estimated the lettuce and arugula agro-economic characteristics with good precision and high R2 values. The maximum agronomic (physical) efficiency of the lettuce and arugula was made possible with the incorporation into the soil of 47.38 and 42.23 t ha-1 of M. aegyptia and C. procera, respectively, and the maximum economic efficiency of production for these leafy vegetables was reached with biomass amounts of 45.96 and 33.61 t ha-1, respectively. The rates of return obtained for lettuce and arugula cultivation for the optimized mixture amounts were 2.6 and 1.5 of those achieved in the control treatment (without fertilization), respectively. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-01 2023-07-29T12:32:08Z 2023-07-29T12:32:08Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.17765/2176-9168.2022v15n4e9691 Revista em Agronegocio e Meio Ambiente, v. 15, n. 4, 2022. 2176-9168 1981-9951 http://hdl.handle.net/11449/246118 10.17765/2176-9168.2022v15n4e9691 2-s2.0-85140233324 |
url |
http://dx.doi.org/10.17765/2176-9168.2022v15n4e9691 http://hdl.handle.net/11449/246118 |
identifier_str_mv |
Revista em Agronegocio e Meio Ambiente, v. 15, n. 4, 2022. 2176-9168 1981-9951 10.17765/2176-9168.2022v15n4e9691 2-s2.0-85140233324 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Revista em Agronegocio e Meio Ambiente |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1797789274670628864 |