Non-destructive models to estimate leaf area on bell pepper crop

Padrón, Richard Alberto Rodríguez; Lopes, Sidinei José; Swarowsky, Alexandre; Cerquera, Roxanna Rosales; Nogueira, Cicero Urbanetto; Maffei, M.

doi:10.1590/0103-8478cr20151324

Cited by 26 publications

(23 citation statements)

References 11 publications

(17 reference statements)

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“…Similar results were obtained by Antunes et al (2008), Tsialtas et al (2008), Mazzini et al (2010), and Padrón et al (2016), when studying respectively coffee, grapevine, citrus, and bell pepper with models presenting high R² by using the product of the leaves length times width. This can be explained due to shape differences in each leaflet, which may vary from more lanceolate to more oval.…”

Section: Resultssupporting

confidence: 80%

Models for leaf area estimation in dwarf pigeon pea by leaf dimensions

et al. 2018

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Section: Resultssupporting

confidence: 80%

Models for leaf area estimation in dwarf pigeon pea by leaf dimensions

et al. 2018

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“…Linear regression model is reliable for estimating LA of chili pepper if LW is used as predictor as shown in Figure 1. Similar results were reported by Serdar and Demirsoy (2006) in chestnut, Rouphael et al (2010) in watermelon, Gao et al (2012) in rose, Córcoles et al (2015) in onion, Aminifard et al (2016) in coneflower, Padrón et al (2016) in bell pepper, and Küçükönder et al (2016) in tomato.…”

Section: Selection For the Most Reliable La Estimation Modelsupporting

confidence: 79%

Relative leaf expansion rate and other leaf-related indicators for detection of drought stress in chili pepper (Capsicum annuum L.).

Widuri¹,

Lakitan²,

Hasmeda³

et al. 2017

Aust J Crop Sci

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Leaf is a sensitive plant organ in responding to abiotic stresses, especially drought stress. Objective of this research was to evaluate changes of relative leaf expansion rate (RLER) and other leaf-related indicators as affected by gradual drought stress. The stress was induced by withholding water supply to chili pepper (Capsicum annum L.) for up to 12 days. Afterward, the crops were allowed to recover. The research was conducted in two stages. The first stage was for finding a reliable leaf area (LA) estimation model. The second stage was for evaluating relevance of RLER, specific leaf fresh weight (SLFW), specific leaf water content (SLWC), and total leaf area (TLA) as indicators for drought stress in chili pepper. Combinations of five regression models (linear, zero-intercept linear, quadratic, zero-intercept quadratic, and power) and three predictors, i.e. leaf length (L), leaf width (W), and LW were evaluated as candidates of LA estimation model. Selection of the models was based on coefficient of determination (R 2 ) and geometrical principles. The selected model was used for calculating RLER, SLFW, SLWC and TLA. Results of this study indicated that dynamic changes of RLER were mainly driven by daily day-night cycle rather than long-term gradual drought stress. SLFW and SLWC did not significantly decrease during drought stress period. However, drought stress significantly inhibited TLA in chili pepper. Chili pepper was able to recover from short-term (4 days) exposure to drought stress; yet, this crop was unable to recover after 8 days exposure to drought stress or longer.

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“…There is a significant and positive correlation between leaf area and shoot dry matter, stem dry matter and fruit mass of 'Pérola' pineapple plants (MELO et al, 2006). Therefore, the exact determination of the leaf area is important for agronomic studies such as the estimation of crop water requirements, potential evapotranspiration, transpiration, photosynthesis, among others (PADRÓN et al, 2016), besides being widely described as a variable which indicates productivity. Therefore, the D leaf area (cm 2 ) of 'Pérola' pineapple plants can be estimated from the length and width of this same leaf and the total leaf area (cm 2 ) of 'Pérola' pineapple plants can be estimated from the D leaf area.…”

Section: Botanic and Physiologymentioning

confidence: 99%

Estimation of total leaf area and D leaf area of pineapple from biometric characteristics

et al. 2018

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The estimation of pineapple total leaf area by simple, fast and non-destructive methods allow inferences related to carbon fixation estimative, biotic and abiotic damages and correlating positively with yield. The objective was to estimate D leaf area and total leaf area and of ‘Pérola’ pineapple plants from biometric measurements. For this purpose, 125 slips were selected and standardized by weight for planting in pots. Nine months after planting in a greenhouse, the plants were harvested to evaluate the total leaf area of the plant, D leaf area and D leaf length and width using a portable leaf area meter. Pearson correlation analysis was made and it was observed significative positive and strong correlation among the studied variables. Then, regression models were adjusted. It was observed that the D leaf area of ‘Pérola’ pineapple can be estimated from the length and width of this same leaf and the total leaf area can be estimated from the D leaf area.

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Non-destructive models to estimate leaf area on bell pepper crop

Cited by 26 publications

References 11 publications

Models for leaf area estimation in dwarf pigeon pea by leaf dimensions

Models for leaf area estimation in dwarf pigeon pea by leaf dimensions

Relative leaf expansion rate and other leaf-related indicators for detection of drought stress in chili pepper (Capsicum annuum L.).

Estimation of total leaf area and D leaf area of pineapple from biometric characteristics

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