Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods

Detalhes bibliográficos
Autor(a) principal: Braga,Gustavo José
Data de Publicação: 2009
Outros Autores: Pedreira,Carlos Guilherme Silveira, Herling,Valdo Rodrigues, Luz,Pedro Henrique de Cerqueira, Marchesin,Wilson Aparecido, Macedo,Felipe Barros
Tipo de documento: Relatório
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000100018
Resumo: Indirect, non-destructive methods for estimating herbage mass on pasture may help growers to better estimate herbage mass and manage the grazing process. The objective of this study was to evaluate two methods for estimating herbage mass on Marandu palisadegrass [Brachiaria brizantha (A. Rich.) Stapf] pastures, over two grazing seasons. The relationships between herbage mass and two indirect, non-destructive measurements (sward surface height - SSH and rising plate meter - RP) were analyzed via regression analysis. Mean determination coefficients (r²) for the regression models were 0.82 and 0.91 for RP and SSH, respectively. Time within season influenced both slope (b) and intercept (a) of the regression models in both methods. The change in model parameters over the course of the seasons suggests the need for frequent model revision and revalidation.
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spelling Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methodsBrachiaria brizanthasward surface heightherbage allowancerising plate meterlinear regressionIndirect, non-destructive methods for estimating herbage mass on pasture may help growers to better estimate herbage mass and manage the grazing process. The objective of this study was to evaluate two methods for estimating herbage mass on Marandu palisadegrass [Brachiaria brizantha (A. Rich.) Stapf] pastures, over two grazing seasons. The relationships between herbage mass and two indirect, non-destructive measurements (sward surface height - SSH and rising plate meter - RP) were analyzed via regression analysis. Mean determination coefficients (r²) for the regression models were 0.82 and 0.91 for RP and SSH, respectively. Time within season influenced both slope (b) and intercept (a) of the regression models in both methods. The change in model parameters over the course of the seasons suggests the need for frequent model revision and revalidation.Escola Superior de Agricultura "Luiz de Queiroz"2009-02-01info:eu-repo/semantics/reportinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000100018Scientia Agricola v.66 n.1 2009reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162009000100018info:eu-repo/semantics/openAccessBraga,Gustavo JoséPedreira,Carlos Guilherme SilveiraHerling,Valdo RodriguesLuz,Pedro Henrique de CerqueiraMarchesin,Wilson AparecidoMacedo,Felipe Barroseng2009-02-13T00:00:00Zoai:scielo:S0103-90162009000100018Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2009-02-13T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods
title Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods
spellingShingle Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods
Braga,Gustavo José
Brachiaria brizantha
sward surface height
herbage allowance
rising plate meter
linear regression
title_short Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods
title_full Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods
title_fullStr Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods
title_full_unstemmed Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods
title_sort Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods
author Braga,Gustavo José
author_facet Braga,Gustavo José
Pedreira,Carlos Guilherme Silveira
Herling,Valdo Rodrigues
Luz,Pedro Henrique de Cerqueira
Marchesin,Wilson Aparecido
Macedo,Felipe Barros
author_role author
author2 Pedreira,Carlos Guilherme Silveira
Herling,Valdo Rodrigues
Luz,Pedro Henrique de Cerqueira
Marchesin,Wilson Aparecido
Macedo,Felipe Barros
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Braga,Gustavo José
Pedreira,Carlos Guilherme Silveira
Herling,Valdo Rodrigues
Luz,Pedro Henrique de Cerqueira
Marchesin,Wilson Aparecido
Macedo,Felipe Barros
dc.subject.por.fl_str_mv Brachiaria brizantha
sward surface height
herbage allowance
rising plate meter
linear regression
topic Brachiaria brizantha
sward surface height
herbage allowance
rising plate meter
linear regression
description Indirect, non-destructive methods for estimating herbage mass on pasture may help growers to better estimate herbage mass and manage the grazing process. The objective of this study was to evaluate two methods for estimating herbage mass on Marandu palisadegrass [Brachiaria brizantha (A. Rich.) Stapf] pastures, over two grazing seasons. The relationships between herbage mass and two indirect, non-destructive measurements (sward surface height - SSH and rising plate meter - RP) were analyzed via regression analysis. Mean determination coefficients (r²) for the regression models were 0.82 and 0.91 for RP and SSH, respectively. Time within season influenced both slope (b) and intercept (a) of the regression models in both methods. The change in model parameters over the course of the seasons suggests the need for frequent model revision and revalidation.
publishDate 2009
dc.date.none.fl_str_mv 2009-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/report
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format report
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000100018
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000100018
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90162009000100018
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 Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.66 n.1 2009
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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