2016
DOI: 10.21013/jas.v4.n1.p19
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Use of Models as Non-destructive Method for Leaf Area Estimation in Horticultural Crops

Abstract: Leaf area estimation is an important biometrical trait for evaluating leaf development and plant growth analysis in field study of horticultural as well as other species of crop plants. These measurements can be made either destructively and/or non-destructively by using a variety of sensitive instruments as INTRODUCTIONCrop growth, productivity and quality are directly related to leaf area (LA) as leaves constitute the most important aerial organ of the plant, playing a major role in the photosynthetic assimi… Show more

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Cited by 12 publications
(16 citation statements)
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“…Leaf area per plant (cm 2 ) (LA) was measured according to the model available in the literature [17,18], which states:…”
Section: Discussionmentioning
confidence: 99%
“…Leaf area per plant (cm 2 ) (LA) was measured according to the model available in the literature [17,18], which states:…”
Section: Discussionmentioning
confidence: 99%
“…For instance, data on leaf characteristics can be incorporated into databases [11,12] and employed to validate time-series quantification of leaf morphology (e.g., [13,14]) and to determine the performance of computer-assisted imaging systems and machine learning algorithms used to classify/recognize phenotypic traits of specific genotypes [15].Leaf area is generally measured with destructive or non-destructive methods [16], the latter often preferred as they are faster, cheaper, and non-invasive (i.e., no excision of leaves is required), therefore, permitting repeated and simultaneous measurements of LA and other physiological parameters (e.g., leaf gas exchange or fluorescence) on the same leaves.Collected information, such as leaf blade length (L) and width (W) [17][18][19][20][21][22][23][24][25] or the shape ratio of the leaf (L:W) [26], can be useful for characterizing leaf functions and structure, based only on proxy variables. In particular, the leaf shape ratio is of particular importance in horticultural sciences as it is regulated by several genetic factors and mutations [27], whose diversity can be analyzed in functional [28] and evolutionary terms [29].Thus far, numerous models have been proposed and applied with respect to both leaf (e.g., [20,30,31]) and shoot level [31-41] morphology of several fruit, vegetable, ornamental, medicinal, and aromatic crops [42]. Currently, LA models for aromatic and medicinal plants comprise several species such as basil, winter red Bergenia, or purple bergenia, calamint, coffee, cherry laurel, bush-willows, jimson weed, wild cucumber, horse-eye bean, lemon balm, peppermint, oleander, mountain mint, opium poppy, ground-cherry, or winter cherry, picrorhiza or kutka, saffron, sugar leaf, snowbell, summer snowflake, tea, common nettle, orange mullein [42], valeriana [43], and pepper plants [44].The world production of medicinal and aromatic plants (MAPs) is expected to rise up to 5 trillion US$ by 2050 [45].…”
mentioning
confidence: 99%
“…Thus far, numerous models have been proposed and applied with respect to both leaf (e.g., [20,30,31]) and shoot level [31-41] morphology of several fruit, vegetable, ornamental, medicinal, and aromatic crops [42]. Currently, LA models for aromatic and medicinal plants comprise several species such as basil, winter red Bergenia, or purple bergenia, calamint, coffee, cherry laurel, bush-willows, jimson weed, wild cucumber, horse-eye bean, lemon balm, peppermint, oleander, mountain mint, opium poppy, ground-cherry, or winter cherry, picrorhiza or kutka, saffron, sugar leaf, snowbell, summer snowflake, tea, common nettle, orange mullein [42], valeriana [43], and pepper plants [44].…”
mentioning
confidence: 99%
“…The main advantages of the use of allometric models for the estimation of the foliar area [6] [7] [8] are summarized in the following sections:…”
Section: Introductionmentioning
confidence: 99%
“…As a main disadvantage [6] it has been pointed out that an untrustworthy equation can create biases in the analyses derived from the models; so it is necessary to take into account the moments or stages for the measurement, which must correspond with the objectives of the studies that are intended to be carried out. It must be added that the sample must cover the entire range of values that will be used in the future; otherwise, the behavior of models outside the range for which they were built would be unknown.…”
Section: Introductionmentioning
confidence: 99%