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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Norte / UEP-Parnaíba; Embrapa Semiárido; Embrapa Unidades Centrais. |
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Data corrente: |
20/06/1994 |
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Data da última atualização: |
21/03/2024 |
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Tipo da produção científica: |
Comunicado Técnico/Recomendações Técnicas |
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Autoria: |
GONZAGA NETO, L.; NUNES, R. F. de M.; AMARAL, M. Q. G. do. |
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Afiliação: |
LUIZ GONZAGA NETO, CPATSA; REGINA FERRO DE MELO NUNES, CPATSA; MARCELO QUEIROZ GURGEL DO AMARAL. |
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Título: |
Introdução e avaliação de germoplasma de acerola na região do Submédio São Francisco. |
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Ano de publicação: |
1993 |
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Fonte/Imprenta: |
Petrolina: EMBRAPA-CPATSA, 1993. |
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Páginas: |
3 p. |
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Série: |
(EMBRAPA-CPATSA. Pesquisa em andamento, 71). |
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ISSN: |
0100-6118 |
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Idioma: |
Português |
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Conteúdo: |
Avaliacao de 21 acessos de aceroleira. As mudas foram propagadas por estacas e plantadas no campo experimental em covas com 60 cm com espacamento 4,0 x 4,0m, utilizando-se tres plantas por acesso. |
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Palavras-Chave: |
Avaliação; Avaliacao de germoplasma; Barbados cherry; Brasil; Cultivo; Evaluation; Introducao de germoplasma; Introduction; Malphigia glabra; Submédio Sao Francisco; West indian cherry. |
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Thesagro: |
Acerola; Germoplasma. |
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Thesaurus Nal: |
germplasm. |
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Categoria do assunto: |
--
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/132152/1/n-71-Introducao-e-avaliacao-de-germoplasma-de-acerola.pdf
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Marc: |
LEADER 01136nam a2200337 a 4500
001 1132152
005 2024-03-21
008 1993 bl uuuu u0uu1 u #d
022 $a0100-6118
100 1 $aGONZAGA NETO, L.
245 $aIntrodução e avaliação de germoplasma de acerola na região do Submédio São Francisco.
260 $aPetrolina: EMBRAPA-CPATSA$c1993
300 $a3 p.
490 $a(EMBRAPA-CPATSA. Pesquisa em andamento, 71).
520 $aAvaliacao de 21 acessos de aceroleira. As mudas foram propagadas por estacas e plantadas no campo experimental em covas com 60 cm com espacamento 4,0 x 4,0m, utilizando-se tres plantas por acesso.
650 $agermplasm
650 $aAcerola
650 $aGermoplasma
653 $aAvaliação
653 $aAvaliacao de germoplasma
653 $aBarbados cherry
653 $aBrasil
653 $aCultivo
653 $aEvaluation
653 $aIntroducao de germoplasma
653 $aIntroduction
653 $aMalphigia glabra
653 $aSubmédio Sao Francisco
653 $aWest indian cherry
700 1 $aNUNES, R. F. de M.
700 1 $aAMARAL, M. Q. G. do
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Biblioteca |
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Origem |
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Cutter |
Registro |
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Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
05/04/2021 |
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Data da última atualização: |
05/04/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
LUIZ, A. J. B.; LIMA, M. A. de. |
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Afiliação: |
ALFREDO JOSE BARRETO LUIZ, CNPMA; MAGDA APARECIDA DE LIMA, CNPMA. |
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Título: |
Application of the Kolmogorov-Smirnov test to compare greenhouse gas emissions over time. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Revista Brasileira de Biometria, v. 39, n. 1, p. 60-70, 2021. |
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ISSN: |
1983-0823 |
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DOI: |
https://doi.org/10.28951/rbb.v39i1.498 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The national inventories of greenhouse gas (GHG) emissions, which are periodically prepared by countries that signed the Climate Change Convention, compute emissions from anthropogenic sources among them agricultural activities. The protocols established within the scope of the International Panel on Climate Change (IPCC) make it possible to estimate these emissions. These protocols use standard emission factors that vary according to the characteristics of the monitored activities and only scientific research, published in journals of recognized quality, can establish other local factors. Brazilian researchers carry out experiments to measure GHG emissions from agricultural activities, aiming to calculate specific parameters for the national climatic and management conditions. These field experiments are complex, costly, with a limited number of repetitions and, eventually, high natural variability. Often, these limitations result in the inability of the analysis of variance (ANOVA) to identify differences between treatments. The objective of this work is to present the non-parametric Kolmogorov-Smirnov (KS) test as an alternative to compare the effect of flooded irrigation management on methane (CH4) emission throughout the rice crop cycle. We present a case study in which ANOVA produced non-significant results for the adjustment of the model while the KS identified the emission curves as significantly different. The KS test could be adapted, via the SAS NPAR1WAY routine, to compare events with responses over time, such as methane emissions in flooded rice, resulting in test values and graphs that are easy to understand and interpret. MenosAbstract: The national inventories of greenhouse gas (GHG) emissions, which are periodically prepared by countries that signed the Climate Change Convention, compute emissions from anthropogenic sources among them agricultural activities. The protocols established within the scope of the International Panel on Climate Change (IPCC) make it possible to estimate these emissions. These protocols use standard emission factors that vary according to the characteristics of the monitored activities and only scientific research, published in journals of recognized quality, can establish other local factors. Brazilian researchers carry out experiments to measure GHG emissions from agricultural activities, aiming to calculate specific parameters for the national climatic and management conditions. These field experiments are complex, costly, with a limited number of repetitions and, eventually, high natural variability. Often, these limitations result in the inability of the analysis of variance (ANOVA) to identify differences between treatments. The objective of this work is to present the non-parametric Kolmogorov-Smirnov (KS) test as an alternative to compare the effect of flooded irrigation management on methane (CH4) emission throughout the rice crop cycle. We present a case study in which ANOVA produced non-significant results for the adjustment of the model while the KS identified the emission curves as significantly different. The KS test could be adapted, via the SAS NPAR1WAY... Mostrar Tudo |
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Palavras-Chave: |
GHG; KS; Nonparametric tests. |
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Thesagro: |
Efeito Estufa; Metano; Método Estatístico. |
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Thesaurus NAL: |
Greenhouse gas emissions; Methane; Statistical analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/222348/1/Luiz-Application-Kolmogorov-Smirnov-2021.pdf
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Marc: |
LEADER 02456naa a2200265 a 4500
001 2131064
005 2021-04-05
008 2021 bl uuuu u00u1 u #d
022 $a1983-0823
024 7 $ahttps://doi.org/10.28951/rbb.v39i1.498$2DOI
100 1 $aLUIZ, A. J. B.
245 $aApplication of the Kolmogorov-Smirnov test to compare greenhouse gas emissions over time.$h[electronic resource]
260 $c2021
520 $aAbstract: The national inventories of greenhouse gas (GHG) emissions, which are periodically prepared by countries that signed the Climate Change Convention, compute emissions from anthropogenic sources among them agricultural activities. The protocols established within the scope of the International Panel on Climate Change (IPCC) make it possible to estimate these emissions. These protocols use standard emission factors that vary according to the characteristics of the monitored activities and only scientific research, published in journals of recognized quality, can establish other local factors. Brazilian researchers carry out experiments to measure GHG emissions from agricultural activities, aiming to calculate specific parameters for the national climatic and management conditions. These field experiments are complex, costly, with a limited number of repetitions and, eventually, high natural variability. Often, these limitations result in the inability of the analysis of variance (ANOVA) to identify differences between treatments. The objective of this work is to present the non-parametric Kolmogorov-Smirnov (KS) test as an alternative to compare the effect of flooded irrigation management on methane (CH4) emission throughout the rice crop cycle. We present a case study in which ANOVA produced non-significant results for the adjustment of the model while the KS identified the emission curves as significantly different. The KS test could be adapted, via the SAS NPAR1WAY routine, to compare events with responses over time, such as methane emissions in flooded rice, resulting in test values and graphs that are easy to understand and interpret.
650 $aGreenhouse gas emissions
650 $aMethane
650 $aStatistical analysis
650 $aEfeito Estufa
650 $aMetano
650 $aMétodo Estatístico
653 $aGHG
653 $aKS
653 $aNonparametric tests
700 1 $aLIMA, M. A. de
773 $tRevista Brasileira de Biometria$gv. 39, n. 1, p. 60-70, 2021.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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