Models for predicting broadleaf vegetable responses to green manures mixtures in semi-arid environment

Detalhes bibliográficos
Autor(a) principal: Guerra, Natan Medeiros
Data de Publicação: 2022
Outros Autores: Neto, Francisco Bezerra [UNESP], de Lima, Jailma Suerda Silva, dos Santos, Elizangela Cabral, Nunes, Renato Leandro Costa, da Silva Lino, Vitor Abel
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.
id UNSP_f74d231af8910d3d97482f1b1e5c2e19
oai_identifier_str oai:repositorio.unesp.br:11449/246118
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling 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
_version_ 1797789274670628864