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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas; Embrapa Instrumentação. |
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Data corrente: |
15/12/2023 |
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Data da última atualização: |
19/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
COSTA, B. R. S.; OLDONI, H.; SILVA, T. M. M. da; FARINASSI. L. G.; BOGNOLA, I. A.; BASSOI, L. H. |
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Afiliação: |
Universidade Estadual Paulista (Unesp); Universidade Estadual Paulista (Unesp); Universidade Estadual Paulista (Unesp); Universidade Estadual Paulista (Unesp); ITAMAR ANTONIO BOGNOLA, CNPF; LUIS HENRIQUE BASSOI, CNPDIA. |
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Título: |
How similar is the zoning of different vegetation indices: Defining the optimal framework for monitoring grapevines’ growth within vigorous vineyards. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Scientia Horticulturae, v. 322, 112404, p. 1-17, 2023. |
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DOI: |
https://doi.org/10.1016/j.scienta.2023.112404 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT The spatial patterns of grapevines’ vigor across vigorous vineyards were assessed through distinct vegetation indices (VI) for comparison purposes. This survey also aids the selection of the most sensitive VI to monitor the vineyards during a given optimal stage of the last period of the growing season. The canopy reflectance (ρ) of grapevines cv. Cabernet Franc and Cabernet Sauvignon (Vitis vinifera L.) was measured throughout their berry development and ripening stages. Georeferenced data of ρ at the red (680 nm), red edge (730 nm), and nearinfrared (780 nm) wavebands were taken using a hand-held active sensor to compute the normalized difference red edge index (NDRE), and the normalized difference vegetation index (NDVI). Spatial predictions of both VI were estimated by geostatistical interpolation technique (kriging) and then categorized into homogeneous zones (HZ) through the Jenks natural breaks optimization method to delimit low and high vigor regions. Statistics of the inter-rater reliability between each VI zoning were calculated afterward. The relative dispersion of data around their mean was assumed as a criterion to assess the sensibility of each VI in detecting vigor variability under a given condition. The most appropriate stage to monitor the vineyards was determined based on the peak of vegetative growth inferred from the values of the VI we presumed as most sensitive. Differences between the HZ defined from the best combination of VI and stage in terms of yield, cane weight, and crop load were also examined. We demonstrated that NDRE was more sensitive than NDVI in detecting the vigor variability of high-density vegetation due to the relative dispersion of its datasets and the saturation effect of NDVI at the late stages of the grapevine growing season. The lowest and higher agreement between the VI zoning was usually detected at the berry touch and berry softening growth stages, respectively. Although there were distinct levels of concordance between NDRE and NDVI maps, their overall agreement was higher than 70% in most surveys. The disagreement in quantity or spatial allocation of vigor categories provided by each VI relied on the vineyard, growth stage, and growing season. Nevertheless, the early definition of HZ from NDRE monitoring carried out at veraison could be suitable to identify differences in cane weight at pruning, with a moderate effect size. MenosABSTRACT The spatial patterns of grapevines’ vigor across vigorous vineyards were assessed through distinct vegetation indices (VI) for comparison purposes. This survey also aids the selection of the most sensitive VI to monitor the vineyards during a given optimal stage of the last period of the growing season. The canopy reflectance (ρ) of grapevines cv. Cabernet Franc and Cabernet Sauvignon (Vitis vinifera L.) was measured throughout their berry development and ripening stages. Georeferenced data of ρ at the red (680 nm), red edge (730 nm), and nearinfrared (780 nm) wavebands were taken using a hand-held active sensor to compute the normalized difference red edge index (NDRE), and the normalized difference vegetation index (NDVI). Spatial predictions of both VI were estimated by geostatistical interpolation technique (kriging) and then categorized into homogeneous zones (HZ) through the Jenks natural breaks optimization method to delimit low and high vigor regions. Statistics of the inter-rater reliability between each VI zoning were calculated afterward. The relative dispersion of data around their mean was assumed as a criterion to assess the sensibility of each VI in detecting vigor variability under a given condition. The most appropriate stage to monitor the vineyards was determined based on the peak of vegetative growth inferred from the values of the VI we presumed as most sensitive. Differences between the HZ defined from the best combination of VI and stage in te... Mostrar Tudo |
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Palavras-Chave: |
Grapevine vigor; Map comparison; Mapas; Precision viticulture; Videira; Viticultura de precisão; Vitis vinifera L. |
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Categoria do assunto: |
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K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 03328naa a2200277 a 4500
001 2159824
005 2024-02-19
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.scienta.2023.112404$2DOI
100 1 $aCOSTA, B. R. S.
245 $aHow similar is the zoning of different vegetation indices$bDefining the optimal framework for monitoring grapevines’ growth within vigorous vineyards.$h[electronic resource]
260 $c2023
520 $aABSTRACT The spatial patterns of grapevines’ vigor across vigorous vineyards were assessed through distinct vegetation indices (VI) for comparison purposes. This survey also aids the selection of the most sensitive VI to monitor the vineyards during a given optimal stage of the last period of the growing season. The canopy reflectance (ρ) of grapevines cv. Cabernet Franc and Cabernet Sauvignon (Vitis vinifera L.) was measured throughout their berry development and ripening stages. Georeferenced data of ρ at the red (680 nm), red edge (730 nm), and nearinfrared (780 nm) wavebands were taken using a hand-held active sensor to compute the normalized difference red edge index (NDRE), and the normalized difference vegetation index (NDVI). Spatial predictions of both VI were estimated by geostatistical interpolation technique (kriging) and then categorized into homogeneous zones (HZ) through the Jenks natural breaks optimization method to delimit low and high vigor regions. Statistics of the inter-rater reliability between each VI zoning were calculated afterward. The relative dispersion of data around their mean was assumed as a criterion to assess the sensibility of each VI in detecting vigor variability under a given condition. The most appropriate stage to monitor the vineyards was determined based on the peak of vegetative growth inferred from the values of the VI we presumed as most sensitive. Differences between the HZ defined from the best combination of VI and stage in terms of yield, cane weight, and crop load were also examined. We demonstrated that NDRE was more sensitive than NDVI in detecting the vigor variability of high-density vegetation due to the relative dispersion of its datasets and the saturation effect of NDVI at the late stages of the grapevine growing season. The lowest and higher agreement between the VI zoning was usually detected at the berry touch and berry softening growth stages, respectively. Although there were distinct levels of concordance between NDRE and NDVI maps, their overall agreement was higher than 70% in most surveys. The disagreement in quantity or spatial allocation of vigor categories provided by each VI relied on the vineyard, growth stage, and growing season. Nevertheless, the early definition of HZ from NDRE monitoring carried out at veraison could be suitable to identify differences in cane weight at pruning, with a moderate effect size.
653 $aGrapevine vigor
653 $aMap comparison
653 $aMapas
653 $aPrecision viticulture
653 $aVideira
653 $aViticultura de precisão
653 $aVitis vinifera L
700 1 $aOLDONI, H.
700 1 $aSILVA, T. M. M. da
700 1 $aFARINASSI. L. G.
700 1 $aBOGNOLA, I. A.
700 1 $aBASSOI, L. H.
773 $tScientia Horticulturae$gv. 322, 112404, p. 1-17, 2023.
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Registro original: |
Embrapa Florestas (CNPF) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Corte. Para informações adicionais entre em contato com cnpgc.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agrobiologia; Embrapa Arroz e Feijão; Embrapa Gado de Corte; Embrapa Milho e Sorgo; Embrapa Pecuária Sul. |
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Data corrente: |
11/12/2023 |
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Data da última atualização: |
11/12/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
FREITAS, A. C. R. de; ALMEIDA, R. G. de; MACEDO, M. C. M.; SANTOS, F. C. dos; ALBUQUERQUE FILHO, M. R. de; SILVEIRA, M. C. T.; ALVES, B. J. R.; MADARI, B. E. |
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Afiliação: |
ANTONIO CARLOS REIS DE FREITAS, CPACP; ROBERTO GIOLO DE ALMEIDA, CNPGC; MANUEL CLAUDIO MOTTA MACEDO, CNPGC; FLAVIA CRISTINA DOS SANTOS, CNPMS; MANOEL RICARDO DE ALBUQUERQUE FILHO, CNPMS; MÁRCIA CRISTINA TEIXEIRA DA SILVEIRA, CPPSUL; BRUNO JOSE RODRIGUES ALVES, CNPAB; BEATA EMOKE MADARI, CNPAF. |
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Título: |
Carbon footprint in integrated systems in the Brazilian Cerrado. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON INTEGRATED CROP-LIVESTOCK SYSTEMS, 4., CONGRESSO BRASILEIRO DE SISTEMAS INTEGRADOS DE PRODUÇÃO AGROPECUÁRIA, 3., ENCONTRO DE SISTEMAS INTEGRADOS DE PRODUÇÃO AGROPECUÁRIA NO SUL DO BRASIL, 7., Bento Gonçalves, 2023. Anais... |
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Idioma: |
Inglês |
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Notas: |
IV ICLS. |
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Conteúdo: |
ABSTRACT - The prediction of soil organic carbon (SOC) stocks, enteric emissions and beef production is required for planning of low-carbon management practices in livestock systems. The use of mechanistic modeling is well-suited for this purpose, but it still represents a knowledge gap in Brazil. The objective of this study was to investigate the use of the Manure-DNDC model to simulate SOC and to estimate the CO2eq emission intensity of beef produced at two sites in the Cerrado biome, which adopted crop-livestock integrated system. There was a good agreement between measured and estimated C stock data from both sites, suggesting a good performance of Manure-DNDC model. At the EMBRAPA site, the emission intensity for integrated crop-livestock (ICL) was 10 kgCO2eq.kgBeef-¹ , 10% higher than of integrated crop-livestock-forestry (ICLF22 and ICLF14) systems. At the TRIJUNCAO site, emission intensity was 9 kgCO2eq.kgBeef-¹ for Low Carbon Brazilian Beef (LCBB) system, which was similar with Management Farm (MF). The predictions of the Manure-DNDC model satisfactorily predicted GHG emissions and capture for the Cerrado condition, whose results pointed out to the potential of integrated systems to mitigate GHG emissions. |
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Thesagro: |
Carbono; Cerrado. |
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Thesaurus NAL: |
Carbon; Greenhouse gases; Soil organic carbon. |
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Categoria do assunto: |
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P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02207nam a2200265 a 4500
001 2159425
005 2023-12-11
008 2023 bl uuuu u00u1 u #d
100 1 $aFREITAS, A. C. R. de
245 $aCarbon footprint in integrated systems in the Brazilian Cerrado.$h[electronic resource]
260 $aIn: INTERNATIONAL SYMPOSIUM ON INTEGRATED CROP-LIVESTOCK SYSTEMS, 4., CONGRESSO BRASILEIRO DE SISTEMAS INTEGRADOS DE PRODUÇÃO AGROPECUÁRIA, 3., ENCONTRO DE SISTEMAS INTEGRADOS DE PRODUÇÃO AGROPECUÁRIA NO SUL DO BRASIL, 7., Bento Gonçalves, 2023. Anais...$c2023
500 $aIV ICLS.
520 $aABSTRACT - The prediction of soil organic carbon (SOC) stocks, enteric emissions and beef production is required for planning of low-carbon management practices in livestock systems. The use of mechanistic modeling is well-suited for this purpose, but it still represents a knowledge gap in Brazil. The objective of this study was to investigate the use of the Manure-DNDC model to simulate SOC and to estimate the CO2eq emission intensity of beef produced at two sites in the Cerrado biome, which adopted crop-livestock integrated system. There was a good agreement between measured and estimated C stock data from both sites, suggesting a good performance of Manure-DNDC model. At the EMBRAPA site, the emission intensity for integrated crop-livestock (ICL) was 10 kgCO2eq.kgBeef-¹ , 10% higher than of integrated crop-livestock-forestry (ICLF22 and ICLF14) systems. At the TRIJUNCAO site, emission intensity was 9 kgCO2eq.kgBeef-¹ for Low Carbon Brazilian Beef (LCBB) system, which was similar with Management Farm (MF). The predictions of the Manure-DNDC model satisfactorily predicted GHG emissions and capture for the Cerrado condition, whose results pointed out to the potential of integrated systems to mitigate GHG emissions.
650 $aCarbon
650 $aGreenhouse gases
650 $aSoil organic carbon
650 $aCarbono
650 $aCerrado
700 1 $aALMEIDA, R. G. de
700 1 $aMACEDO, M. C. M.
700 1 $aSANTOS, F. C. dos
700 1 $aALBUQUERQUE FILHO, M. R. de
700 1 $aSILVEIRA, M. C. T.
700 1 $aALVES, B. J. R.
700 1 $aMADARI, B. E.
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