SPATIAL PREDICTION OF THE PRODUCTION CHARACTERISTICS OF Urochloa brizantha cv. MARANDU
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
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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Engenharia na Agricultura |
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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 |
_version_ |
1800211145695428608 |