A new method for estimating the leaf area index of cucumber and tomato plants

Blanco, Flávio Favaro; Folegatti, Marcos Vinícius

doi:10.1590/s0102-05362003000400019

Cited by 100 publications

(62 citation statements)

References 7 publications

(3 reference statements)

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“…On the basis of repeated measurements of length and width of leaf was established the characteristic for cultivar dependence between this parameters and leaf area. On this basis, it made the measuring instrument in the form of ruler allowing for direct reading of the leaf area [25].…”

Section: Methodsmentioning

confidence: 99%

Effect of plant density on the growth, development and yield of brussels sprouts (Brassica oleracea L. var. gemmifera L.)

et al. 2014

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A b s t r a c tPlant density is an important variable for achieving maximum yields and uniform vegetable maturity. Optimal plant density can be achieved by establishing appropriate distances both between the rows as well as in the rows of plants. The experiment was carried out between 2010-2012 at the experimental field of the Crimean Agrotechnological University in Simferopol, Ukraine. The experiment was established as randomised blocks with four replications. This study aimed to determine the effect of plant density on the growth, development and yield of Brussels sprouts. Increasing the area per plant resulted in a shortening of the time to the beginning of head formation, technical maturity and harvest. In all study years, increasing the distance between plants caused an increase in leaf assimilation area, stalk diameter and the number of heads per plant, however, the height of plants was lower. The most favourable parameters characterising marketable yield were found at an area per plant of 0.56 m 2 , however, the maximum yield from 1 ha (determining the profitability of the cultivation) was found at an area of 0.49 m 2 per plant.

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Section: Methodsmentioning

confidence: 99%

Effect of plant density on the growth, development and yield of brussels sprouts (Brassica oleracea L. var. gemmifera L.)

et al. 2014

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“…There are nondestructive methods for LA determination using simple and easily operated devices that preserve leaf integrity (Adami et al, 2008;Fagundes et al, 2009;Bakhshandeh et al, 2011). Some examples are models generated for tomato and cucumber (Blanco & Folegatti, 2003), melon (Lopes et al, 2007), sunflower (Maldaner et al, 2009) and crambe (Toebe et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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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“…Blanco and Folegatti (2003) found that linear regression model of LA = 0.347 LW-10.7 yielded an R 2 = 0.980; thus, reliable for estimating LA of tomato hybrid variety of Facundo used in their study. Comparably, Carmassi et al (2007) used F1 of varieties Jama in their study and reported that zero intercept linear regression model of LA = 0.5 LW settled with lower R 2 of 0.884.…”

Section: Developing and Screening La Estimation Modelsmentioning

confidence: 80%

Steady shallow water table did not decrease leaf expansion rate, specific leaf weight, and specific leaf water content in tomato plants

Meihana¹,

Lakitan²,

Susilawati³

et al. 2017

Aust J Crop Sci

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It was presumed that shallow water table restricted leaf growth and some water-related parameters; therefore, they can be used as indicators of plant stress due to the water table condition. Objective of this research was to evaluate morphological stress indicators in tomato plants exposed to shallow water table. The research was conducted in two stages: (1) developing reliable LA estimation model from June to September 2016; as pre-requisite for (2) calculating and evaluating the morphological indicators for stress due to shallow water table treatments, conducted from February to May 2017. Treated plants were placed inside experimental pools. Each treatment was done by partially submerging growing substrate to the targeted water tables at 5 cm and 10 cm below surface of the substrate. Untreated control plants were kept outside the pools. Zero-intercept linear model was the selected model for leaf area estimation after evaluating 15 combinations of five regression models and three predictors. Results of this study indicated that steady water table at 5-cm and 10-cm depth did not restrain relative leaf expansion rate (RLER) and there was no significant difference in specific leaf fresh weight (SLFW) and specific leaf water content (SLWC) between treated and untreated plants, measured prior to, during, and after recovery from shallow water table treatments. In conclusion, if position of water table was steady, the shallow water table at 5-cm depth or deeper did not affect tomato growth.

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A new method for estimating the leaf area index of cucumber and tomato plants

Cited by 100 publications

References 7 publications

Effect of plant density on the growth, development and yield of brussels sprouts (Brassica oleracea L. var. gemmifera L.)

Effect of plant density on the growth, development and yield of brussels sprouts (Brassica oleracea L. var. gemmifera L.)

Non-destructive models for leaf area determination in canola

Steady shallow water table did not decrease leaf expansion rate, specific leaf weight, and specific leaf water content in tomato plants

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