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Registro Completo |
Biblioteca(s): |
Embrapa Trigo. |
Data corrente: |
14/12/2021 |
Data da última atualização: |
14/12/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
TARTAGLIA, F. de L.; RIGHI, E. Z.; ROCHA, L. da; LOOSE, L. H.; MALDANER, I. C.; HELDWEIN, A. B.; GOUVEA, J. A. de. |
Afiliação: |
FRANCILENE DE L. TARTAGLIA, Universidade Federal de Santa Maria/Centro de Ciências Rurais/Departamento de Fitotecnia. Santa Maria, RS. E-mail: fran.tartaglia@yahoo.com.br (Corresponding author); ezrighi@yahoo.com.br; leidi-r1@hotmail.com; heldweinab@smail.ufsm.br; EVANDRO Z. RIGHI, Universidade Federal de Santa Maria/Centro de Ciências Rurais/Departamento de Fitotecnia. Santa Maria, RS. E-mail: fran.tartaglia@yahoo.com.br (Corresponding author); ezrighi@yahoo.com.br; leidi-r1@hotmail.com; heldweinab@smail.ufsm.br; LEIDIANA DA ROCHA, Universidade Federal de Santa Maria/Centro de Ciências Rurais/Departamento de Fitotecnia. Santa Maria, RS. E-mail: fran.tartaglia@yahoo.com.br (Corresponding author); ezrighi@yahoo.com.br; leidi-r1@hotmail.com; heldweinab@smail.ufsm.br; LUIS H. LOOSE, Instituto Federal Forroupilha. Santo Ângelo, RS. E-mail: luisloose@yahoo.com.br; IVAN C. MALDANER, Instituto Federal Farroupilha. São Vicente do Sul, RS. E-mail: ivan.maldaner@iffarroupilha.edu.br; ARNO B. HELDWEIN, Universidade Federal de Santa Maria/Centro de Ciências Rurais/Departamento de Fitotecnia. Santa Maria, RS. E-mail: fran.tartaglia@yahoo.com.br (Corresponding author); ezrighi@yahoo.com.br; leidi-r1@hotmail.com; heldweinab@smail.ufsm.br; JORGE ALBERTO DE GOUVEA, CNPT. |
Título: |
Non-destructive models for leaf area determination in canola. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Revista Brasileira de Engenharia Agrícola e Ambiental, v. 20, n. 6, p. 551-556, 2016. |
Idioma: |
Inglês |
Conteúdo: |
The leaf is a very important structure of the plants, since it allows gas exchanges and the transformation of light energy into chemical energy. This study aimed to generate and test mathematical models for leaf area estimation in canola based on leaf dimensions. Two experiments were conducted with canola in 2014, in which leaves were collected in different phenological stages with different sizes and shapes. Subsequently, leaf length, width and area were measured (with automatic meter) in 606 leaves, which included 371 ovate and 235 lanceolate leaves. The models were generated using length, width and length versus width as independent variables and leaf area as dependent variable. The models were validated using a group of leaves different from those used to generate the models. A total of 27 models were obtained and those with best statistics and higher simplicity were selected. The polynomial model LA = 0.88735 W2 + 0.93503 W and the power model LA = 1.1282 W1.9396 can be used for both types of leaves and have high accuracy in the estimation of canola leaf area. |
Palavras-Chave: |
Lanceolate leaves; Modeling; Ovate leaves. |
Thesagro: |
Brassica Napus. |
Thesaurus Nal: |
Brassica napus var. napus. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/229134/1/2016-PA-IV-SM-Grupos-Bioc-Non-destructive-models-for-leaf-area.pdf
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Marc: |
LEADER 01826naa a2200253 a 4500 001 2137791 005 2021-12-14 008 2016 bl uuuu u00u1 u #d 100 1 $aTARTAGLIA, F. de L. 245 $aNon-destructive models for leaf area determination in canola.$h[electronic resource] 260 $c2016 520 $aThe leaf is a very important structure of the plants, since it allows gas exchanges and the transformation of light energy into chemical energy. This study aimed to generate and test mathematical models for leaf area estimation in canola based on leaf dimensions. Two experiments were conducted with canola in 2014, in which leaves were collected in different phenological stages with different sizes and shapes. Subsequently, leaf length, width and area were measured (with automatic meter) in 606 leaves, which included 371 ovate and 235 lanceolate leaves. The models were generated using length, width and length versus width as independent variables and leaf area as dependent variable. The models were validated using a group of leaves different from those used to generate the models. A total of 27 models were obtained and those with best statistics and higher simplicity were selected. The polynomial model LA = 0.88735 W2 + 0.93503 W and the power model LA = 1.1282 W1.9396 can be used for both types of leaves and have high accuracy in the estimation of canola leaf area. 650 $aBrassica napus var. napus 650 $aBrassica Napus 653 $aLanceolate leaves 653 $aModeling 653 $aOvate leaves 700 1 $aRIGHI, E. Z. 700 1 $aROCHA, L. da 700 1 $aLOOSE, L. H. 700 1 $aMALDANER, I. C. 700 1 $aHELDWEIN, A. B. 700 1 $aGOUVEA, J. A. de 773 $tRevista Brasileira de Engenharia Agrícola e Ambiental$gv. 20, n. 6, p. 551-556, 2016.
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Registro original: |
Embrapa Trigo (CNPT) |
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Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
22/12/2011 |
Data da última atualização: |
22/12/2011 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE JUNIOR, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. |
Afiliação: |
DARIO GRATTAPAGLIA, CENARGEN; MARCOS DEON VILELA DE RESENDE, CNPF; MARCIO FERNANDO RIBEIRO RESENDE JUNIOR, Doutorando na Universidade da Flórida; CAROLINE PAOLA SANSALONI, Doutorando em Biologia Molecular Universidade de Brasília; CESAR DANIEL PETROLI, Doutorando em Biologia Molecular Universidade de Brasília; ALEXANDRE A. MISSIAGGIA, FIBRIA; ELISABETE K. TAKAHASHI, CENIBRA Celulose Nipo Brasileira S.A; KARINA C. ZAMPROGNO, VERACEL Celulose S.A.; ANDRZEJ KILIAN, Diversity Arrays Technology. |
Título: |
Breeding by genomic selection: capturing the missing heritability of complex traits in forest trees. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
In: NEW PHYTOLOGIST SYMPOSIUM, 26., 2011, Nancy. Bioenergy trees. [S.l.]: INRA, 2011. |
Páginas: |
p. 9. |
Idioma: |
Português |
Palavras-Chave: |
Melhoramente genético; Seleção genômica. |
Thesagro: |
Árvore. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/51121/1/2011-M.Deon-GWS-Energy-26thNPS.pdf
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Marc: |
LEADER 00786nam a2200241 a 4500 001 1910742 005 2011-12-22 008 2011 bl uuuu u00u1 u #d 100 1 $aGRATTAPAGLIA, D. 245 $aBreeding by genomic selection$bcapturing the missing heritability of complex traits in forest trees.$h[electronic resource] 260 $aIn: NEW PHYTOLOGIST SYMPOSIUM, 26., 2011, Nancy. Bioenergy trees. [S.l.]: INRA$c2011 300 $ap. 9. 650 $aÁrvore 653 $aMelhoramente genético 653 $aSeleção genômica 700 1 $aRESENDE, M. D. V. de 700 1 $aRESENDE JUNIOR, M. F. R. 700 1 $aSANSALONI, C. P. 700 1 $aPETROLI, C. D. 700 1 $aMISSIAGGIA, A. A. 700 1 $aTAKAHASHI, E. K. 700 1 $aZAMPROGNO, K. C. 700 1 $aKILIAN, A.
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