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Registro Completo |
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Biblioteca(s): |
Embrapa Roraima. |
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Data corrente: |
25/01/2008 |
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Data da última atualização: |
09/03/2012 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
VILARINHO, L. B. O.; BENDAHAN, A. B.; MATTOS, P. S.; MOURÃO JÚNIOR, M.; VILARINHO, A. A. |
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Afiliação: |
Lucianne Braga Oliveira Vilarinho, UFRR; Amaury Burlamaqui Bendahan, CPAF-RR; Paulo Sérgio Mattos, CPAF-RR; Moisés Mourão Júnior, CPAF-RR; Aloísio Alcântara Vilarinho, CPAF-RR. |
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Título: |
Avaliação de genótipos de sorgo forrageiro em área de Savana do estado de Roraima. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 4., São Lourenço, MG, 2007. |
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Idioma: |
Português |
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Palavras-Chave: |
Avaliação; Roraima; Savana. |
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Thesagro: |
Genótipo; Sorgo Forrageiro. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00646naa a2200217 a 4500
001 1691628
005 2012-03-09
008 2007 bl --- 0-- u #d
100 1 $aVILARINHO, L. B. O.
245 $aAvaliação de genótipos de sorgo forrageiro em área de Savana do estado de Roraima.
260 $c2007
650 $aGenótipo
650 $aSorgo Forrageiro
653 $aAvaliação
653 $aRoraima
653 $aSavana
700 1 $aBENDAHAN, A. B.
700 1 $aMATTOS, P. S.
700 1 $aMOURÃO JÚNIOR, M.
700 1 $aVILARINHO, A. A.
773 $tIn: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 4., São Lourenço, MG, 2007.
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Registro original: |
Embrapa Roraima (CPAF-RR) |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo; Embrapa Rondônia. |
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Data corrente: |
07/12/2018 |
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Data da última atualização: |
07/12/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
ESPINDULA, M. C.; PASSOS, A. M. A. dos; ARAUJO, L. F. B.; MARCOLAN, A. L.; PARTELLI, F. L.; RAMALHO, A. R. |
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Afiliação: |
MARCELO CURITIBA ESPINDULA, CPAF-RO; ALEXANDRE MARTINS ABDAO DOS PASSOS, CNPMS; Larissa Fatarelli Bento Araújo, Bolsista; ALAERTO LUIZ MARCOLAN, CPAF-RO; Fábio Luiz Partelli, Universidade Federal do Espírito Santo; ANDRE ROSTAND RAMALHO, CPAF-RO. |
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Título: |
Indirect estimation of leaf area in genotypes of 'Conilon' coffee (Coffea canephora Pierre ex A. Froehner). |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Australian Journal of Crop Science, v. 12, n. 6, p. 990-994, 2018. |
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DOI: |
10.21475/ajcs.18.12.06.PNE1090 |
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Idioma: |
Inglês |
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Conteúdo: |
Leaf area is an important parameter in agronomic and physiological studies; thereby, the techniques used for its determination should be simple, fast and accurate. The objective of this study was to evaluate the efficiency of an equation for the indirect determination of leaf area in 'Conilon' (Coffea canephora) genotypes cultivated in the Western Amazon. The experiment was carried out in Porto Velho, Rondônia, in August and September 2011. It was arranged in a completely randomized 2 × 15 factorial design combining two methods of determining leaf area (estimated and actual) and fifteen 'Conilon' coffee genotypes, with 64 replicates. The estimated leaf area was determined by the equation LA = 0.3064 × Age-0.0556× LMR-2.0133(R2=0.98), developed by Partelli et al. (2006), while the actual leaf area was obtained from images of leaves scanned into digital format using an image scanner. The genotypes belong to the Coffee Breeding Program at Embrapa Rondônia. The efficiency of the equation for determining leaf area of 'Conilon' coffee varies according to the genotype evaluated; therefore, the equation must not be used without prior calibration. As the species is a perennial crop and the number of commercial genotypes widely accepted by farmers is restricted, the validation of the equation or the development of new equations capable of estimating the leaf area of the cultivated genotypes can help in the management of coffee plantationsn. |
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Palavras-Chave: |
Lâmina de folha. |
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Thesagro: |
Área Foliar; Café; Coffea Canephora; Genótipo. |
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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/item/187961/1/Indirect-estimation.pdf
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Marc: |
LEADER 02242naa a2200253 a 4500
001 2100949
005 2018-12-07
008 2018 bl uuuu u00u1 u #d
024 7 $a10.21475/ajcs.18.12.06.PNE1090$2DOI
100 1 $aESPINDULA, M. C.
245 $aIndirect estimation of leaf area in genotypes of 'Conilon' coffee (Coffea canephora Pierre ex A. Froehner).$h[electronic resource]
260 $c2018
520 $aLeaf area is an important parameter in agronomic and physiological studies; thereby, the techniques used for its determination should be simple, fast and accurate. The objective of this study was to evaluate the efficiency of an equation for the indirect determination of leaf area in 'Conilon' (Coffea canephora) genotypes cultivated in the Western Amazon. The experiment was carried out in Porto Velho, Rondônia, in August and September 2011. It was arranged in a completely randomized 2 × 15 factorial design combining two methods of determining leaf area (estimated and actual) and fifteen 'Conilon' coffee genotypes, with 64 replicates. The estimated leaf area was determined by the equation LA = 0.3064 × Age-0.0556× LMR-2.0133(R2=0.98), developed by Partelli et al. (2006), while the actual leaf area was obtained from images of leaves scanned into digital format using an image scanner. The genotypes belong to the Coffee Breeding Program at Embrapa Rondônia. The efficiency of the equation for determining leaf area of 'Conilon' coffee varies according to the genotype evaluated; therefore, the equation must not be used without prior calibration. As the species is a perennial crop and the number of commercial genotypes widely accepted by farmers is restricted, the validation of the equation or the development of new equations capable of estimating the leaf area of the cultivated genotypes can help in the management of coffee plantationsn.
650 $aÁrea Foliar
650 $aCafé
650 $aCoffea Canephora
650 $aGenótipo
653 $aLâmina de folha
700 1 $aPASSOS, A. M. A. dos
700 1 $aARAUJO, L. F. B.
700 1 $aMARCOLAN, A. L.
700 1 $aPARTELLI, F. L.
700 1 $aRAMALHO, A. R.
773 $tAustralian Journal of Crop Science$gv. 12, n. 6, p. 990-994, 2018.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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