Randomized branch sampling to estimatefruit production in Pecan trees cv. ‘Barton’

Detalhes bibliográficos
Autor(a) principal: Mokochinski,Filemom Manoel
Data de Publicação: 2017
Outros Autores: Watzlawick,Luciano Farinha, Botelho,Renato Vasconcelos, Moreira,Vanessa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400203
Resumo: ABSTRACT: Sampling techniques to quantify the production of fruits are still very scarce and create a gap in crop development research. This study was conducted in a rural property in the county of Cachoeira do Sul - RS to estimate the efficiency of randomized branch sampling (RBS) in quantifying the production of pecan fruit at three different ages (5,7 and 10 years). Two selection techniques were tested: the probability proportional to the diameter (PPD) and the uniform probability (UP) techniques, which were performed on nine trees, three from each age and randomly chosen. The RBS underestimated fruit production for all ages, and its main drawback was the high sampling error (125.17% - PPD and 111.04% - UP). The UP was regarded as more efficient than the PPD, though both techniques estimated similar production and similar experimental errors. In conclusion, we reported that branch sampling was inaccurate for this case study, requiring new studies to produce estimates with smaller sampling error.
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spelling Randomized branch sampling to estimatefruit production in Pecan trees cv. ‘Barton’Caryaillinoinensismathematical modelcrop productionpost-harvestABSTRACT: Sampling techniques to quantify the production of fruits are still very scarce and create a gap in crop development research. This study was conducted in a rural property in the county of Cachoeira do Sul - RS to estimate the efficiency of randomized branch sampling (RBS) in quantifying the production of pecan fruit at three different ages (5,7 and 10 years). Two selection techniques were tested: the probability proportional to the diameter (PPD) and the uniform probability (UP) techniques, which were performed on nine trees, three from each age and randomly chosen. The RBS underestimated fruit production for all ages, and its main drawback was the high sampling error (125.17% - PPD and 111.04% - UP). The UP was regarded as more efficient than the PPD, though both techniques estimated similar production and similar experimental errors. In conclusion, we reported that branch sampling was inaccurate for this case study, requiring new studies to produce estimates with smaller sampling error.Universidade Federal de Santa Maria2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400203Ciência Rural v.47 n.4 2017reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20151591info:eu-repo/semantics/openAccessMokochinski,Filemom ManoelWatzlawick,Luciano FarinhaBotelho,Renato VasconcelosMoreira,Vanessaeng2017-03-03T00:00:00ZRevista
dc.title.none.fl_str_mv Randomized branch sampling to estimatefruit production in Pecan trees cv. ‘Barton’
title Randomized branch sampling to estimatefruit production in Pecan trees cv. ‘Barton’
spellingShingle Randomized branch sampling to estimatefruit production in Pecan trees cv. ‘Barton’
Mokochinski,Filemom Manoel
Caryaillinoinensis
mathematical model
crop production
post-harvest
title_short Randomized branch sampling to estimatefruit production in Pecan trees cv. ‘Barton’
title_full Randomized branch sampling to estimatefruit production in Pecan trees cv. ‘Barton’
title_fullStr Randomized branch sampling to estimatefruit production in Pecan trees cv. ‘Barton’
title_full_unstemmed Randomized branch sampling to estimatefruit production in Pecan trees cv. ‘Barton’
title_sort Randomized branch sampling to estimatefruit production in Pecan trees cv. ‘Barton’
author Mokochinski,Filemom Manoel
author_facet Mokochinski,Filemom Manoel
Watzlawick,Luciano Farinha
Botelho,Renato Vasconcelos
Moreira,Vanessa
author_role author
author2 Watzlawick,Luciano Farinha
Botelho,Renato Vasconcelos
Moreira,Vanessa
author2_role author
author
author
dc.contributor.author.fl_str_mv Mokochinski,Filemom Manoel
Watzlawick,Luciano Farinha
Botelho,Renato Vasconcelos
Moreira,Vanessa
dc.subject.por.fl_str_mv Caryaillinoinensis
mathematical model
crop production
post-harvest
topic Caryaillinoinensis
mathematical model
crop production
post-harvest
description ABSTRACT: Sampling techniques to quantify the production of fruits are still very scarce and create a gap in crop development research. This study was conducted in a rural property in the county of Cachoeira do Sul - RS to estimate the efficiency of randomized branch sampling (RBS) in quantifying the production of pecan fruit at three different ages (5,7 and 10 years). Two selection techniques were tested: the probability proportional to the diameter (PPD) and the uniform probability (UP) techniques, which were performed on nine trees, three from each age and randomly chosen. The RBS underestimated fruit production for all ages, and its main drawback was the high sampling error (125.17% - PPD and 111.04% - UP). The UP was regarded as more efficient than the PPD, though both techniques estimated similar production and similar experimental errors. In conclusion, we reported that branch sampling was inaccurate for this case study, requiring new studies to produce estimates with smaller sampling error.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
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=S0103-84782017000400203
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400203
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20151591
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.47 n.4 2017
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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