Determinants of Rulindo tea farmers’ perception towards organic farming: a MASS::stepAIC() approach

Detalhes bibliográficos
Autor(a) principal: Muhamadi,Shakiru
Data de Publicação: 2021
Outros Autores: Boz,Ismet
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000600901
Resumo: ABSTRACT: The current study determined the factors influencing the perception of tea farmers towards organic tea production in Rulindo District, Rwanda. This study used both qualitative and quantitative data from face to face interviews and questionnaires completed with 156 tea farmers and other key informants in the tea sector who were randomly selected in 2019. Using function step AIC in R’s MASS package, the final multiple logistic regression model showed that generating income from tea production, participation in Umuganda, conveying messages at Ihangari, participation to agricultural shows, and receiving training from Farmers Field Schools (FFS) influenced farmers’ perceptions towards organic tea production. Thus, the results of this study could be useful to stakeholders in Rwanda’s tea sector, such as policymakers and decision-makers. They can act as a source of information when developing a more sustainable research-based tea extension program. Moreover, the results of this study can be used during the capacity building of farmers about organic tea production.
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spelling Determinants of Rulindo tea farmers’ perception towards organic farming: a MASS::stepAIC() approachorganic tea farmingfarmer field schoolsUmugandaRulindoRWANDAABSTRACT: The current study determined the factors influencing the perception of tea farmers towards organic tea production in Rulindo District, Rwanda. This study used both qualitative and quantitative data from face to face interviews and questionnaires completed with 156 tea farmers and other key informants in the tea sector who were randomly selected in 2019. Using function step AIC in R’s MASS package, the final multiple logistic regression model showed that generating income from tea production, participation in Umuganda, conveying messages at Ihangari, participation to agricultural shows, and receiving training from Farmers Field Schools (FFS) influenced farmers’ perceptions towards organic tea production. Thus, the results of this study could be useful to stakeholders in Rwanda’s tea sector, such as policymakers and decision-makers. They can act as a source of information when developing a more sustainable research-based tea extension program. Moreover, the results of this study can be used during the capacity building of farmers about organic tea production.Universidade Federal de Santa Maria2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000600901Ciência Rural v.51 n.6 2021reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20200695info:eu-repo/semantics/openAccessMuhamadi,ShakiruBoz,Ismeteng2021-03-23T00:00:00ZRevista
dc.title.none.fl_str_mv Determinants of Rulindo tea farmers’ perception towards organic farming: a MASS::stepAIC() approach
title Determinants of Rulindo tea farmers’ perception towards organic farming: a MASS::stepAIC() approach
spellingShingle Determinants of Rulindo tea farmers’ perception towards organic farming: a MASS::stepAIC() approach
Muhamadi,Shakiru
organic tea farming
farmer field schools
Umuganda
Rulindo
RWANDA
title_short Determinants of Rulindo tea farmers’ perception towards organic farming: a MASS::stepAIC() approach
title_full Determinants of Rulindo tea farmers’ perception towards organic farming: a MASS::stepAIC() approach
title_fullStr Determinants of Rulindo tea farmers’ perception towards organic farming: a MASS::stepAIC() approach
title_full_unstemmed Determinants of Rulindo tea farmers’ perception towards organic farming: a MASS::stepAIC() approach
title_sort Determinants of Rulindo tea farmers’ perception towards organic farming: a MASS::stepAIC() approach
author Muhamadi,Shakiru
author_facet Muhamadi,Shakiru
Boz,Ismet
author_role author
author2 Boz,Ismet
author2_role author
dc.contributor.author.fl_str_mv Muhamadi,Shakiru
Boz,Ismet
dc.subject.por.fl_str_mv organic tea farming
farmer field schools
Umuganda
Rulindo
RWANDA
topic organic tea farming
farmer field schools
Umuganda
Rulindo
RWANDA
description ABSTRACT: The current study determined the factors influencing the perception of tea farmers towards organic tea production in Rulindo District, Rwanda. This study used both qualitative and quantitative data from face to face interviews and questionnaires completed with 156 tea farmers and other key informants in the tea sector who were randomly selected in 2019. Using function step AIC in R’s MASS package, the final multiple logistic regression model showed that generating income from tea production, participation in Umuganda, conveying messages at Ihangari, participation to agricultural shows, and receiving training from Farmers Field Schools (FFS) influenced farmers’ perceptions towards organic tea production. Thus, the results of this study could be useful to stakeholders in Rwanda’s tea sector, such as policymakers and decision-makers. They can act as a source of information when developing a more sustainable research-based tea extension program. Moreover, the results of this study can be used during the capacity building of farmers about organic tea production.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000600901
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000600901
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20200695
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.51 n.6 2021
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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