A simple linear model for leaf area estimation in Persian walnut (Juglans regia L.)

Keramatlou, Issa; Sharifani, M.; Sabouri, Hossein; Alizadeh, M.; Kamkar, Behnam

doi:10.1016/j.scienta.2014.12.017

Cited by 71 publications

(61 citation statements)

References 21 publications

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“…Similar results were obtained by Hinnah et al (2014), Serdar & Demirsoy (2006) and Keramatlou et al (2015) for eggplant, chestnut and Persian walnut, respectively. This result occurs because the product L.W is an area, thus requiring the adjustment of the reducing coefficients in each model.…”

Section: Resultssupporting

confidence: 86%

Non-destructive models for leaf area determination in canola

Tartaglia

Righi

Rocha

et al. 2016

Rev. bras. eng. agríc. ambient.

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A B S T R A C TThe leaf is a very important structure of the plants, since it allows gas exchanges and the transformation of light energy into chemical energy. This study aimed to generate and test mathematical models for leaf area estimation in canola based on leaf dimensions. Two experiments were conducted with canola in 2014, in which leaves were collected in different phenological stages with different sizes and shapes. Subsequently, leaf length, width and area were measured (with automatic meter) in 606 leaves, which included 371 ovate and 235 lanceolate leaves. The models were generated using length, width and length versus width as independent variables and leaf area as dependent variable. The models were validated using a group of leaves different from those used to generate the models. A total of 27 models were obtained and those with best statistics and higher simplicity were selected. The polynomial model LA = 0.88735 W 2 + 0.93503 W and the power model LA = 1.1282 W 1.9396 can be used for both types of leaves and have high accuracy in the estimation of canola leaf area.Modelos não destrutivos para determinação da área foliar em canola R E S U M O A folha é uma estrutura de grande importância para as plantas, visto que por meio dela ocorrem as trocas gasosas e a transformação da energia luminosa em energia química. O objetivo neste trabalho foi gerar e testar modelos matemáticos para a estimativa de área foliar de folhas de canola em função das dimensões foliares. Para isto foram realizados dois experimentos com canola no ano de 2014 e coletadas folhas em diferentes estágios fenológicos e de diferentes tamanhos e formas; posteriormente foram medidos o comprimento, a largura e a área foliar (com medidor automático) de 606 folhas dentre as quais 371 ovaladas e 235 lanceoladas. Os modelos foram gerados utilizando-se comprimento, largura e comprimento versus largura como variáveis independentes e a área foliar como variável dependente. Os modelos foram validados com um grupo distinto de folhas dos utilizados para a geração. Obteve-se o total de 27 modelos escolhendo-se aqueles que apresentaram as melhores estatísticas e maior simplicidade. Os modelos que podem ser utilizados para ambos os tipos de folhas e apresentam alta precisão de estimativa de área foliar em canola, são o modelo polinomial AF = 0,88735 L 2 + 0,93503 L e o modelo potencial AF = 1,1282 L 1,9396 . Key words:Brassica napus ovate leaves lanceolate leaves modeling Palavras-chave:Brassica napus folhas ovaladas folhas lanceoladas modelagem

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Section: Resultssupporting

confidence: 86%

Non-destructive models for leaf area determination in canola

Tartaglia

Righi

Rocha

et al. 2016

Rev. bras. eng. agríc. ambient.

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“…Projected phyllode area was calculated according to Keramatlou et al (2015) with slight modification by multiple regression equation using leaf area as a dependent variable, which regressed with different independent variables, including length (L), width (W), L 2 , W 2 , (L+W) 2 and the product L × W. The final model was selected based on the combination (Supplementary Figure 1) of the highest coefficient of determination ( r 2 ). The predicted area of natural senescence in salt-treated plants was calculated using the standard equation developed by regression analysis between projected phyllode area and senescenced phyllode area (Supplementary Figure 2).…”

Section: Methodsmentioning

confidence: 99%

Mechanistic Insight into Salt Tolerance of Acacia auriculiformis: The Importance of Ion Selectivity, Osmoprotection, Tissue Tolerance, and Na+ Exclusion

Rahman

Miah

et al. 2017

Front. Plant Sci.

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Salinity, one of the major environmental constraints, threatens soil health and consequently agricultural productivity worldwide. Acacia auriculiformis, being a halophyte, offers diverse benefits against soil salinity; however, the defense mechanisms underlying salt-tolerant capacity in A. auriculiformis are still elusive. In this study, we aimed to elucidate mechanisms regulating the adaptability of the multi-purpose perennial species A. auriculiformis to salt stress. The growth, ion homeostasis, osmoprotection, tissue tolerance and Na+ exclusion, and anatomical adjustments of A. auriculiformis grown in varied doses of seawater for 90 and 150 days were assessed. Results showed that diluted seawater caused notable reductions in the level of growth-related parameters, relative water content, stomatal conductance, photosynthetic pigments, proteins, and carbohydrates in dose- and time-dependent manners. However, the percent reduction of these parameters did not exceed 50% of those of control plants. Na+ contents in phyllodes and roots increased with increasing levels of salinity, whereas K+ contents and K+/Na+ ratio decreased significantly in comparison with control plants. A. auriculiformis retained more Na+ in the roots and maintained higher levels of K+, Ca2+ and Mg2+, and K+/Na+ ratio in phyllodes than roots through ion selective capacity. The contents of proline, total free amino acids, total sugars and reducing sugars significantly accumulated together with the levels of malondialdehyde and electrolyte leakage in the phyllodes, particularly at day 150th of salt treatment. Anatomical investigations revealed various anatomical changes in the tissues of phyllodes, stems and roots by salt stress, such as increase in the size of spongy parenchyma of phyllodes, endodermal thickness of stems and roots, and the diameter of root vascular bundle, relative to control counterparts. Furthermore, the estimated values for Na+ exclusion and tissue tolerance index suggested that A. auriculiformis efficiently adopted these two mechanisms to address higher salinity levels. Our results conclude that the adaptability of A. auriculiformis to salinity is closely associated with ion selectivity, increased accumulation of osmoprotectants, efficient Na+ retention in roots, anatomical adjustments, Na+ exclusion and tissue tolerance mechanisms.

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“…LA was considered as one of the most frequently used parameter in plant growth analysis due to its direct association with photosynthesis, respiration, and transpiration processes (Cho et al, 2007;Breure, 2010;Mokhtarpour et al, 2010;Pandey and Singh, 2011;Keramatlou et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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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A simple linear model for leaf area estimation in Persian walnut (Juglans regia L.)

Cited by 71 publications

References 21 publications

Non-destructive models for leaf area determination in canola

Non-destructive models for leaf area determination in canola

Mechanistic Insight into Salt Tolerance of Acacia auriculiformis: The Importance of Ion Selectivity, Osmoprotection, Tissue Tolerance, and Na+ Exclusion

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

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