Abstract

NAHAS, S.S. Bas; ARCE, O.E.A.; RICCI, M.  and  ROMERO, E.R.. Leaf area estimation of individual leaf and whole plant of chickpea (Cicer arietinum L.) by means of regression methods. Rev. agron. noroeste arg. [online]. 2019, vol.39, n.2, pp.99-106. ISSN 0080-2069.

The quantification of the leaf area (LA) of a crop is important due to its relationship with solar radiation interception and the production of photoassimilates that are essential for plant growth. For this quantification, different LA measurement methods are available, and the choice to use one or the other depends on different factors. Nonetheless, information about methodologies for estimating chickpea LA is scarce. Hence, this paper aimed to select variables that allow estimating LA accurately in Norteño and Chañaritos S-156 cultivars, considering individual leaves and the whole plant. A completely randomized experimental design with 4 replications was used, in plots of six 13-meter-long lines at 0.52 m spacing, with a density of 26 plants/m². Individual leaf and whole plant LA data were obtained by processing photographs of each leaf with ImageJ 1.x. To estimate LA per leaf and plant, linear and nonlinear regression models were adjusted, and their performance was evaluated. The results showed that LA could be estimated on the basis of individual leaf and whole plant LA data using fresh leaf weight as a regression variable. For individual leaf LA, equations y = 0.538 + 31.7831 x and y = -0.9508 + 10.4853√x + 10.9107(√x)² were selected for Norteño and Chañaritos S-156 cultivars, respectively. Regarding whole plant LA, equations y = 42.4679 + 33.4606 x and y = 19.3918 + 36.5052 x were chosen for Norteño and Chañaritos S-156 cultivars, respectively.

Keywords : ImageJ; Leaf area; Chickpea; Regression methods.

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