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Registro Completo |
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
13/06/1994 |
Data da última atualização: |
28/10/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
THUNG, M.; FERREIRA, R. M.; MIRANDA, P.; MODA-CIRINO, V.; FERRÃO, M. A. G.; SILVA, L. O. da; DOURADO, V. V.; HEMP, S.; SOUZA, B.; SERPA, J. E. S.; ZIMMERMANN, M. J. O.; SINGH, S. P. |
Afiliação: |
MICHAEL THUNG; R. M. FERREIRA; P. MIRANDA, IPA; V. MODA-CIRINO, IAPAR; M. A. GAVA FERRAO, EMCAPA; L. O. DA SILVA, EMGOPA; V. V. DOURADO, EPABA; S. HEMP, EMPASC; B. SOUZA, PESAGRO-RIO; J. E. S. SERPA; MARIA JOSE DE OLIVEIRA ZIMMERMANN, CNPAF; S. P. SINGH, CIAT. |
Título: |
Performance in Brazil and Colombia of common bean lines from the second selection cycle. |
Ano de publicação: |
1993 |
Fonte/Imprenta: |
Revista Brasileira de Genética, v. 16, n. 1, p. 115-127, 1993. |
Idioma: |
Inglês |
Thesagro: |
Feijão; Melhoramento Genético Vegetal; Phaseolus Vulgaris; Seleção. |
Thesaurus Nal: |
Colombia. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/242053/1/rbg-1993.pdf
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Marc: |
LEADER 00872naa a2200301 a 4500 001 1195745 005 2022-10-28 008 1993 bl uuuu u00u1 u #d 100 1 $aTHUNG, M. 245 $aPerformance in Brazil and Colombia of common bean lines from the second selection cycle.$h[electronic resource] 260 $c1993 650 $aColombia 650 $aFeijão 650 $aMelhoramento Genético Vegetal 650 $aPhaseolus Vulgaris 650 $aSeleção 700 1 $aFERREIRA, R. M. 700 1 $aMIRANDA, P. 700 1 $aMODA-CIRINO, V. 700 1 $aFERRÃO, M. A. G. 700 1 $aSILVA, L. O. da 700 1 $aDOURADO, V. V. 700 1 $aHEMP, S. 700 1 $aSOUZA, B. 700 1 $aSERPA, J. E. S. 700 1 $aZIMMERMANN, M. J. O. 700 1 $aSINGH, S. P. 773 $tRevista Brasileira de Genética$gv. 16, n. 1, p. 115-127, 1993.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Registro Completo
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
30/11/2022 |
Data da última atualização: |
22/01/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
SILVA, T. M. M. da; COSTA, B. R. S.; OLDONI, H.; FOSCHINI, M. M.; BASSOI, L. H. |
Afiliação: |
MILENE CORSO MITSUYUKI, CNPDIA; LUIS HENRIQUE BASSOI, CNPDIA. |
Título: |
Calibration of chlorophyll hand-held meter based on vineyard NDVI zones for estimation of leaf N content. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Ciência e Agrotecnologia, v. 46, e006222, 2022. |
Páginas: |
11 p. |
ISSN: |
1981-1829 |
DOI: |
http://dx.doi.org/10.1590/1413-7054202246006222 |
Idioma: |
Inglês |
Conteúdo: |
The monitoring of chlorophyll content in grapevine leaves allows us to evaluate their N status, assisting with the information for the decision make about nutrient rate and application time to the vineyard. The present work aimed to propose an easy-to-use procedure for the calibration of a chlorophyll hand-held meter based on the NDVI homogeneous zones in a vineyard for the device readings and leaf sampling. We evaluated the wine grape ?Chardonnay? growing under drip irrigation in a vineyard located in the Southeast region of Brazil. Readings of the relative chlorophyll indices (a, b, and total) were taken in situ four times throughout the 2019 growing season, with the device placed on two leaves of every 40 pre-selected target plants in two homogeneous zones of NDVI previously defined in the vineyard. Subsequently, the chlorophyll and leaf nitrogen contents were determined in laboratory to relate them to the chlorophyll meter readings through generalized estimation equations. The chlorophyll meter is capable of estimating the levels of chlorophyll a, band total by the models generated with an error of 0.98, 0.58, and 1.47 µg ml-1 cm-2 for calibration and of 1.03, 0.67, and 1.49 µg ml-1 cm-2for prediction, respectively. The functions developed for the leaf N content present calibration error of 1.49 g kg-1 and prediction error of 3.39 g kg-1, but capable of providing an estimate when error is less than the amplitude of nitrogen sufficiency. |
Palavras-Chave: |
Drip irrigation; Precision viticulture; Wine grapevine. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1148987/1/P-Calibration-of-chlorophyll-hand-held-meter-based-on.pdf
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Marc: |
LEADER 02210naa a2200241 a 4500 001 2148987 005 2024-01-22 008 2022 bl uuuu u00u1 u #d 022 $a1981-1829 024 7 $ahttp://dx.doi.org/10.1590/1413-7054202246006222$2DOI 100 1 $aSILVA, T. M. M. da 245 $aCalibration of chlorophyll hand-held meter based on vineyard NDVI zones for estimation of leaf N content.$h[electronic resource] 260 $c2022 300 $a11 p. 520 $aThe monitoring of chlorophyll content in grapevine leaves allows us to evaluate their N status, assisting with the information for the decision make about nutrient rate and application time to the vineyard. The present work aimed to propose an easy-to-use procedure for the calibration of a chlorophyll hand-held meter based on the NDVI homogeneous zones in a vineyard for the device readings and leaf sampling. We evaluated the wine grape ?Chardonnay? growing under drip irrigation in a vineyard located in the Southeast region of Brazil. Readings of the relative chlorophyll indices (a, b, and total) were taken in situ four times throughout the 2019 growing season, with the device placed on two leaves of every 40 pre-selected target plants in two homogeneous zones of NDVI previously defined in the vineyard. Subsequently, the chlorophyll and leaf nitrogen contents were determined in laboratory to relate them to the chlorophyll meter readings through generalized estimation equations. The chlorophyll meter is capable of estimating the levels of chlorophyll a, band total by the models generated with an error of 0.98, 0.58, and 1.47 µg ml-1 cm-2 for calibration and of 1.03, 0.67, and 1.49 µg ml-1 cm-2for prediction, respectively. The functions developed for the leaf N content present calibration error of 1.49 g kg-1 and prediction error of 3.39 g kg-1, but capable of providing an estimate when error is less than the amplitude of nitrogen sufficiency. 653 $aDrip irrigation 653 $aPrecision viticulture 653 $aWine grapevine 700 1 $aCOSTA, B. R. S. 700 1 $aOLDONI, H. 700 1 $aFOSCHINI, M. M. 700 1 $aBASSOI, L. H. 773 $tCiência e Agrotecnologia$gv. 46, e006222, 2022.
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