Leaf area prediction models from growth measurements in Andean blueberry (Vaccinium meridionale Swartz) in the nursery

• Published in: Agronomía colombiana Vol. 40; no. 3; pp. 361 - 371
• Main Authors: Vásquez-Martínez, Mariam, Lizarazo-Peña, Pedro, Darghan, Enrique, Moreno-Fonseca, Liz Patricia, Magnitskiy, Stanislav
• Format: Journal Article
• Language: English
• Published: Centro Editorial of Facultad de Ciencias Agrarias, Universidad Nacional de Colombia 31.12.2022
• Subjects: Andean species; average leaf area; Ericaceae; regression analysis; weighted least squares
• ISSN: 0120-9965; 2357-3732
• DOI: 10.15446/agron.colomb.v40n3.105039

The Andean blueberry is a high-Andean wild fruit species consumed in fresh or processed form that has high potential due to its antioxidant capacity. Leaf area describes the photosynthetic capacity of plants and is employed as a variable in multiple physiological studies; however, in Andean blueberry (Vaccinium meridionale Swartz), its direct measurement is costly. The aim of this research was to propose models for estimating the leaf area in young Andean blueberry plants using morphometric variables. In the study, 436 Andean blueberry plants of different ages (10 to 26 months) obtained with different methods of asexual propagation (tissue culture or cuttings) were used. Variables, such as dry weight per organ, leaf area, plant height, number of vegetative shoots and number of leaves, were measured. Simple and multiple regressions were performed and the “weighted least squares” technique was used to meet the regression assumptions. Five models with coefficients of determination (R2) greater than 0.81 were proposed. Two models were of the multiple type and employed the number of leaves together with the dry weight of leaves or the total dry weight as predictor variables. The other models were linear and used total dry weight, dry weight of leaves or number of leaves as explanatory variables of leaf area; the number of leaves was a particularly interesting variable due to its non-destructive nature. The models presented could be a useful tool for estimating leaf area in future studies in Andean blueberry.