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1.   SCHMILDT, O.; SANTANA, E. N. de.; OLIVEIRA, V. de S.; GOUVEA, R. R.; SOUZA, L. C.; SANTOS, A. N. M. R.; SILVA, S. M.; SANTOS, K. T. H. dos; SANTOS, G. P.; FANTON, C. J.; DOUSSEAU, S.; SCHMILDT, E. R. Estimation of leaf area by linear dimensions in coffea dewevrei. International Journal of Plant & Soil Science, v. 28, n. 6, p. 18, 2019.Biblioteca(s): Biblioteca Rui Tendinha. 
 
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Registro Completo 
Biblioteca(s): 
Biblioteca Rui Tendinha. 
Data corrente: 
03/09/2019 
Data da última atualização: 
03/09/2019 
Tipo da produção científica: 
Artigo em Periódico Indexado 
Circulação/Nível: 
   
Autoria: 
SCHMILDT, O.; SANTANA, E. N. de.; OLIVEIRA, V. de S.; GOUVEA, R. R.; SOUZA, L. C.; SANTOS, A. N. M. R.; SILVA, S. M.; SANTOS, K. T. H. dos; SANTOS, G. P.; FANTON, C. J.; DOUSSEAU, S.; SCHMILDT, E. R. 
Afiliação: 
Omar Schmildt, UFES; Enilton Nascimento de Santana, Incaper; Vinicius de Souza Oliveira, UFES; Rafael Ruy Gouvea, UFES; Lucas Corrêa Souza, Incaper; Alba Nise Merícia Rocha Santos, Incaper; Sirlane Machado Silva, Incaper; Karina Tiemi Hassuda dos Santos, UFES; Gleyce Pereira Santos, UFES; Cesar José Fanton, Incaper; Sara Dousseau Arantes, Incaper; Edilson Romais Schmildt, UFES. 
Título: 
Estimation of leaf area by linear dimensions in coffea dewevrei. 
Ano de publicação: 
2019 
Fonte/Imprenta: 
International Journal of Plant & Soil Science, v. 28, n. 6, p. 18, 2019. 
DOI: 
10.9734/ijpss/2019/v28i630129 
Idioma: 
Inglês 
Conteúdo: 
The objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not different from one, MAE and RMSE values closer to zero and index d closer to the unit. The area of the leaves can be determined by its greater width (W), through the quadratic model equation ELA=10.255+1.020(W)+1.293(W)2. MenosThe objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not diff... Mostrar Tudo 
Thesaurus NAL: 
Coffea dewevrei; Mathematical models; Nondestructive method. 
Categoria do assunto: 
 
URL: 
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/3788/1/cafeeniltonsantana.pdf

Marc: 
LEADER 02611naa a2200301 a 4500 001 1021649 005 20190903 008 2019 bl uuuu u00u1 u #d 024 7 $a10.9734/ijpss/2019/v28i630129$2DOI 100 1 $aSCHMILDT, O. 245 $aEstimation of leaf area by linear dimensions in coffea dewevrei.$h[electronic resource] 260 $c2019 520 $aThe objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not different from one, MAE and RMSE values closer to zero and index d closer to the unit. The area of the leaves can be determined by its greater width (W), through the quadratic model equation ELA=10.255+1.020(W)+1.293(W)2. 650 $aCoffea dewevrei 650 $aMathematical models 650 $aNondestructive method 700 1 $aSANTANA, E. N. de. 700 1 $aOLIVEIRA, V. de S. 700 1 $aGOUVEA, R. R. 700 1 $aSOUZA, L. C. 700 1 $aSANTOS, A. N. M. R. 700 1 $aSILVA, S. M. 700 1 $aSANTOS, K. T. H. dos 700 1 $aSANTOS, G. P. 700 1 $aFANTON, C. J. 700 1 $aDOUSSEAU, S. 700 1 $aSCHMILDT, E. R. 773 $tInternational Journal of Plant & Soil Science$gv. 28, n. 6, p. 18, 2019.
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