Abstract

ABSTRACT This study aimed to obtain equations to estimate leaf area from linear leaf dimensions and establish the allometric relationship between leaf area and the number of leaves on the main stem of chia (Salvia hispanica L.) at different sowing times. The experiment was conducted in the agricultural year 2016/2017 on five sowing times in Santa Maria, RS, Brazil, in a randomized block design with four repetitions. In each plot, ten random plants were marked weekly during the vegetative phase to determine the number of leaves (NL) in the main stem, and three of these for the determination of leaf area (LA). A total of 70 leaves of different sizes were used to calibrate the model. Another 106 leaves were used to test the predictive capacity of the equations by various statistical indices. The length (L) and the largest leaf width (W) were measured. Leaf collection was carried out during the cycle, in all sowing times to represent all leaf sizes. The linear, quadratic, exponential, and potential models were adjusted. The non-destructive method, through the linear dimensions of the leaf, is appropriate for estimating the leaf area in chia. The general equation LA = 0.642 (L x W) can be used to estimate the leaf area of the chia plants without loss of precision. The potential model is appropriate to characterize the allometric relationship between leaf area evolution and the number of leaves accumulated in the main stem of chia at different sowing times.

Highlights

  • Chia (Salvia hispanica L.), a plant of the Lamiaceae family, is considered a nutraceutical food (Jamboonsri et al, 2012)

  • Leaf area determination is essential in evaluating plant photosynthetic efficiency and growth analysis studies because it is an excellent determinant of the yield (Zanon et al, 2015)

  • Regression analyses were performed between the dependent variables and independent variables [width (W), length (L), product (L x W) and the number of leaves (NL) per plant], adjusting for the linear, quadratic, potential and exponential equations

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Summary

Introduction

Chia (Salvia hispanica L.), a plant of the Lamiaceae family, is considered a nutraceutical food (Jamboonsri et al, 2012). This study aimed to obtain equations to estimate leaf area from linear leaf dimensions and establish an allometric relationship between leaf area and the number of leaves on the main stem of chia at different sowing times. Allometric relationship and leaf area modeling estimation on chia by non-destructive method. Regression analyses were performed between the dependent variables (leaf area or total leaf area per plant obtained from the scanner) and independent variables [width (W), length (L), product (L x W) and the number of leaves (NL) per plant], adjusting for the linear, quadratic, potential and exponential equations. For NL and LA estimation, 10 plants in each plot (totaling 40 plants at each sowing date) were marked with colored wire in which the number of visible leaves on the main stem were counted weekly In three of these marked plants, the length (L) and width (W) of the visible leaves were measured to estimate the photosynthetically active leaf area. The data were analyzed by R software (R CORE TEAM, 2020), with metan (Olivoto & Lucio, 2020) and ggplot (Wickham, 2016) packages

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