Data/hora: 09/06/2024 14:32:22

Provedor de dados: | Revista Brasileira de Engenharia Agrícola e Ambiental
País: | Brazil
Título: | Non-destructive measurement of leaf area and leaf pigments in feijoa trees
Autores: | Sachet,Marcos R.; Citadin,Idemir; Guerrezi,Marieli T.; Pertille,Rafael H.; Donazzolo,Joel; Nodari,Rubens O.
Data: | 2019-01-01
Ano: | 2019
Palavras-chave: | Indirect estimates; Pineapple guava; Acca sellowiana.
Resumo: | ABSTRACT Leaf area (cm2 per leaf) and leaf pigment content are important traits that can be used to better understand a plants physiology. In this study, empirical non-destructive models for leaf area and leaf pigment based on the leaf dimensions, length (L) and width (W) in centimeters, and chlorophyll meter readings were developed for feijoa (Acca sellowiana). The experiment was carried out during January 2016 using five-year-old trees of 60 genotypes, grown under field conditions in the state of Paraná, Brazil. The proposed leaf area (LA) model was  L A  =  0 . 0022   L 3  +  0 . 1482   W 2  +  0 . 6159  L W  +  0 . 1076 (R2 = 0.99). Three current leaf area models found in the literature were also assessed. All of the already created models were less accurate than the model proposed in this article. The proposed leaf pigment models were based on the Falker Chlorophyll Index for Chlorophyll a (A) and b (B), these were  C h  l a  =  2 . 564  A  +  13 . 098  B  -  42 . 605 (R2 = 0.94),  C h  l b  =  1 . 538  A  +  3 . 287  B  +  8 . 847 (R2 = 0.86) and  C a r o t e n o i d s  =  0 . 947  B  +  8 . 943 (R2 = 0.88) expressed as µmol m-2 of leaf blade. In conclusion, the proposed models in this study were shown to be a reliable non-destructivel way of estimating A. sellowiana leaf area and leaf pigment.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000100016
Editor: | Departamento de Engenharia Agrícola  - UFCG
Relação: | 10.1590/1807-1929/agriambi.v23n1p16-20
Formato: | text/html
Fonte: | Revista Brasileira de Engenharia Agrícola e Ambiental  v.23 n.1 2019
Fonte: | info:eu-repo/semantics/openAccess