SPATIAL PREDICTION OF THE PRODUCTION CHARACTERISTICS OF Urochloa brizantha cv. MARANDU

Detalhes bibliográficos
Autor(a) principal: Gross Filho, Ademar Roberto
Data de Publicação: 2017
Outros Autores: Garcia, Rafael Nunes, da Silva, Alessandra Farias, Penno, Mateus da Silva, da Silva Neto, Sabino Pereira
Tipo de documento: Artigo
Idioma: por
Título da fonte: Engenharia na Agricultura
Texto Completo: https://periodicos.ufv.br/reveng/article/view/577
Resumo: Environments the pastoris, are heterogeneous, for example, uneven grazed of cattle. The spatial arrangement of biomass characterization of grassland, may be performed by geostatistical. However, for the semivariogram has some reliability the number required of samples suffcient. The objective of this study was investigated the in?uence of sample density in the construction and accuracy of semivariograms from production characteristics of Urochloa brizantha cv. Marandu. The collected biomass of the plants was held in grid comprising 30, 60, 90, 120 e 150 sample points from an area of 14,400 m² (120 x 120 m). The dry matter yield of green leaves, stem and dead material grassland were submitted to descriptive statistical analysis, to study and geostatistical interpolation by ordinary kriging. The spatial variability of production characteristics of grass was observed in all sampling plans used. The semivariogram best fts were obtained when using 120 and 150 sample points. Thus, it can be used at least 120 points samples to conduct studies of the spatial variability from agronomic characteristics of Urochloa brizantha cv. Marandu.
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spelling SPATIAL PREDICTION OF THE PRODUCTION CHARACTERISTICS OF Urochloa brizantha cv. MARANDUPREDIÇÃO ESPACIAL DAS CARACTERÍSTICAS DE PRODUÇÃO DE Urochloa brizantha cv. MARANDUestrutura do pastosemivariogramavariabilidade espacialzootecnia de precisãoEnvironments the pastoris, are heterogeneous, for example, uneven grazed of cattle. The spatial arrangement of biomass characterization of grassland, may be performed by geostatistical. However, for the semivariogram has some reliability the number required of samples suffcient. The objective of this study was investigated the in?uence of sample density in the construction and accuracy of semivariograms from production characteristics of Urochloa brizantha cv. Marandu. The collected biomass of the plants was held in grid comprising 30, 60, 90, 120 e 150 sample points from an area of 14,400 m² (120 x 120 m). The dry matter yield of green leaves, stem and dead material grassland were submitted to descriptive statistical analysis, to study and geostatistical interpolation by ordinary kriging. The spatial variability of production characteristics of grass was observed in all sampling plans used. The semivariogram best fts were obtained when using 120 and 150 sample points. Thus, it can be used at least 120 points samples to conduct studies of the spatial variability from agronomic characteristics of Urochloa brizantha cv. Marandu.Os ambientes pastoris, naturalmente, são heterogêneos por causa, por exemplo, do pastejo desuniforme dos bovinos. A caracterização da disposição espacial da biomassa aérea, de uma pastagem, pode ser realizada por meio da geoestatística. Entretanto, para que o semivariograma tenha alguma confiabilidade é necessário um número suficiente de amostras. O objetivo foi verifcar a in?uência da densidade amostral na construção e exatidão dos semivariogramas das características de produção em uma pastagem de Urochloa brizantha cv. Marandu. As coletadas da biomassa das plantas foram realizadas em malhas amostrais compostas por 30, 60, 90, 120 e 150 pontos de uma área de 14.400 m² (120x120 m). A produção de massa seca de folhas verdes, colmo e material morto da pastagem foram submetidos às análises de estatística descritiva e ao estudo geoestatístico e interpolação por krigagem ordinária. A variabilidade espacial das características produtivas da gramínea foi observada em todos os planos amostrais utilizados. Os melhores ajustes do semivariograma foram conseguidos quando se utilizou 120 e 150 pontos de amostra. Assim, pode-se utilizar no mínimo 120 pontos de amostras para realizar estudos da variabilidade espacial das características agronômicas de pastagens de Urochloa brizantha cv. Marandu.Universidade Federal de Viçosa - UFV2017-01-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/57710.13083/reveng.v24i5.640Engineering in Agriculture; Vol. 24 No. 5 (2016); 406-416Revista Engenharia na Agricultura - REVENG; v. 24 n. 5 (2016); 406-4162175-68131414-398410.13083/reveng.v24i5reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/reveng/article/view/577/393Gross Filho, Ademar RobertoGarcia, Rafael Nunesda Silva, Alessandra FariasPenno, Mateus da Silvada Silva Neto, Sabino Pereirainfo:eu-repo/semantics/openAccess2023-01-19T13:31:49Zoai:ojs.periodicos.ufv.br:article/577Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-19T13:31:49Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv SPATIAL PREDICTION OF THE PRODUCTION CHARACTERISTICS OF Urochloa brizantha cv. MARANDU
PREDIÇÃO ESPACIAL DAS CARACTERÍSTICAS DE PRODUÇÃO DE Urochloa brizantha cv. MARANDU
title SPATIAL PREDICTION OF THE PRODUCTION CHARACTERISTICS OF Urochloa brizantha cv. MARANDU
spellingShingle SPATIAL PREDICTION OF THE PRODUCTION CHARACTERISTICS OF Urochloa brizantha cv. MARANDU
Gross Filho, Ademar Roberto
estrutura do pasto
semivariograma
variabilidade espacial
zootecnia de precisão
title_short SPATIAL PREDICTION OF THE PRODUCTION CHARACTERISTICS OF Urochloa brizantha cv. MARANDU
title_full SPATIAL PREDICTION OF THE PRODUCTION CHARACTERISTICS OF Urochloa brizantha cv. MARANDU
title_fullStr SPATIAL PREDICTION OF THE PRODUCTION CHARACTERISTICS OF Urochloa brizantha cv. MARANDU
title_full_unstemmed SPATIAL PREDICTION OF THE PRODUCTION CHARACTERISTICS OF Urochloa brizantha cv. MARANDU
title_sort SPATIAL PREDICTION OF THE PRODUCTION CHARACTERISTICS OF Urochloa brizantha cv. MARANDU
author Gross Filho, Ademar Roberto
author_facet Gross Filho, Ademar Roberto
Garcia, Rafael Nunes
da Silva, Alessandra Farias
Penno, Mateus da Silva
da Silva Neto, Sabino Pereira
author_role author
author2 Garcia, Rafael Nunes
da Silva, Alessandra Farias
Penno, Mateus da Silva
da Silva Neto, Sabino Pereira
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Gross Filho, Ademar Roberto
Garcia, Rafael Nunes
da Silva, Alessandra Farias
Penno, Mateus da Silva
da Silva Neto, Sabino Pereira
dc.subject.por.fl_str_mv estrutura do pasto
semivariograma
variabilidade espacial
zootecnia de precisão
topic estrutura do pasto
semivariograma
variabilidade espacial
zootecnia de precisão
description Environments the pastoris, are heterogeneous, for example, uneven grazed of cattle. The spatial arrangement of biomass characterization of grassland, may be performed by geostatistical. However, for the semivariogram has some reliability the number required of samples suffcient. The objective of this study was investigated the in?uence of sample density in the construction and accuracy of semivariograms from production characteristics of Urochloa brizantha cv. Marandu. The collected biomass of the plants was held in grid comprising 30, 60, 90, 120 e 150 sample points from an area of 14,400 m² (120 x 120 m). The dry matter yield of green leaves, stem and dead material grassland were submitted to descriptive statistical analysis, to study and geostatistical interpolation by ordinary kriging. The spatial variability of production characteristics of grass was observed in all sampling plans used. The semivariogram best fts were obtained when using 120 and 150 sample points. Thus, it can be used at least 120 points samples to conduct studies of the spatial variability from agronomic characteristics of Urochloa brizantha cv. Marandu.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufv.br/reveng/article/view/577
10.13083/reveng.v24i5.640
url https://periodicos.ufv.br/reveng/article/view/577
identifier_str_mv 10.13083/reveng.v24i5.640
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufv.br/reveng/article/view/577/393
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv Engineering in Agriculture; Vol. 24 No. 5 (2016); 406-416
Revista Engenharia na Agricultura - REVENG; v. 24 n. 5 (2016); 406-416
2175-6813
1414-3984
10.13083/reveng.v24i5
reponame:Engenharia na Agricultura
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Engenharia na Agricultura
collection Engenharia na Agricultura
repository.name.fl_str_mv Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br
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