2009
DOI: 10.1590/s0103-90162009000400005
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Total leaf area of papaya trees estimated by a nondestructive method

Abstract: Leaf area estimation is an important feature in physiological research involving predominantly photosynthesis, transpiration and growth. This study was carried out to develop a practical and nondestructive empirical mathematical model to estimate the area of one leaf and the total leaf area for papaya trees (Carica papaya L.). Two irrigated commercial orchards were evaluated over a period of 50 to 550 days after transplanting, during which the length of the leaf midrib (LM) varied from 0.04 to 0.60 m. A mathem… Show more

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Cited by 15 publications
(9 citation statements)
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References 5 publications
(10 reference statements)
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“…The plants were harvested 56 days after transplantation (DAT). At that time, plant height (from the plant lap up to the apex of the last developed leaf), the total number of leaves per plant, an indirect measure of chlorophyll content from reading the relative chlorophyll index (RCI) in ten leaves per experimental unit using a Chlorophyll Content Meter from OPTI-Sciences Ò model CCM-200 (Opti-Sciences, Tyngsboro, MA, USA), (Richardson et al, 2002), the leaf area with an LI-3100 Area Meter (LI-COR Inc., Lincoln, NE, USA) (Posse et al, 2009), the rate of net photosynthesis, and stomata conductance in two leaves per experimental unit using an open system portable infrared gas analyser (IRGA) model LICOR 6400. The measurements were made between 8 am and 3 pm in totally extended leaves under good phytosanitary conditions.…”
Section: Methodsmentioning
confidence: 99%
“…The plants were harvested 56 days after transplantation (DAT). At that time, plant height (from the plant lap up to the apex of the last developed leaf), the total number of leaves per plant, an indirect measure of chlorophyll content from reading the relative chlorophyll index (RCI) in ten leaves per experimental unit using a Chlorophyll Content Meter from OPTI-Sciences Ò model CCM-200 (Opti-Sciences, Tyngsboro, MA, USA), (Richardson et al, 2002), the leaf area with an LI-3100 Area Meter (LI-COR Inc., Lincoln, NE, USA) (Posse et al, 2009), the rate of net photosynthesis, and stomata conductance in two leaves per experimental unit using an open system portable infrared gas analyser (IRGA) model LICOR 6400. The measurements were made between 8 am and 3 pm in totally extended leaves under good phytosanitary conditions.…”
Section: Methodsmentioning
confidence: 99%
“…developed a model for papaya with the log relationship from a single measurement of the central vein, with an r 2 of 0.898 for four cultivars grown in Brazil. When a single cultivar is evaluated (Posse et al, 2009), the main midrib length and estimated leaf area have a higher correlation coefficient (r 2 = 0.99); an approach to estimating the total leaf area of a papaya plant using the bottom two leaves was presented. The slope and the intercept were similar among the lines evaluated Posse et al, 2009).…”
Section: Resultsmentioning
confidence: 99%
“…Leaf area estimation by mathematical equations have been used with high precision, being a simple, rapid and non-destructive method that has became important to evaluate plant growth in field conditions (Bianco et al 2007a,b). Regression equations, relating measured leaf area with linear dimensions of leaves, have been used successfully to estimate leaf area of crops like strawberry (Strik and Proctor 1985, Pires et al 1999), vine (Pedro Júnior et al 1986, corn (Pereira 1987), squash (Silva et al 1998), garlic (Portela 1999), bean (Bhatt andChanda 2003, Queiroga et al 2003), coconut (Souza et al 2005), mango (Araújo et al 2005), cotton (Monteiro et al 2005, Alves et al 2009, cherry (Cittadini and Peri 2006), potato (Busato et al 2009), papaya (Posse et al 2009), among others. In this sense, there is no information with respect of an equation to estimate alfalfa (Medicago sativa) leaf area, perennial leguminous cropped as an important forage in Brazil (Favero et al 2008, Perez and Dall'Agnol 2009).…”
Section: Introductionmentioning
confidence: 99%