Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , , , |
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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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 |
_version_ |
1748936461410893824 |