Leaf Blade Dimensions of Rice (Oryza sativa L. and Oryza glaberrima Steud.). Relationships between Tillers and the Main Stem

Tivet, Florent; Pinheiro, B. da S.; Raı̈ssac, Marcel De; Dingkuhn, Michaël

doi:10.1006/anbo.2001.1447

Cited by 54 publications

(41 citation statements)

References 19 publications

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“…TT n 1 (Ta-Tb), (Eq.1) where Ta is the daily averaged air temperature (˚C) and Tb the base temperature below which plant development stops (assumed to be 13˚C, Tivet et al, 2001). Data were processed to analyze the following growth traits and their plasticity: -The phyllochron (time in degree day, ˚D, separating the appearance of two successive leaves on the main stem), considered as a measure of plant development rate that varies among genotypes but is little affected by environment (Tivet et al, 2001).…”

Section: Methodsmentioning

confidence: 99%

Phenotypic Plasticity of Rice Seedlings: Case of Phosphorus Deficiency

Luquet

Zhang²,

Dingkuhn

et al. 2005

Plant Production Science

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Section: Methodsmentioning

confidence: 99%

Phenotypic Plasticity of Rice Seedlings: Case of Phosphorus Deficiency

Luquet

Zhang²,

Dingkuhn

et al. 2005

Plant Production Science

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“…For example, in wheat (Fournier et al 2003;Evers et al 2005), rice (Tivet et al 2001) or barley (Buck-Sorlin 2002) tillers reproduce the patterns of the main stem, for all organ types (laminae, sheath and internode), provided a given offset (or shift), which may be non-integer, is added to the phytomer rank (Figure 3). Fournier et al 2003) …”

Section: Architectural Patternsmentioning

confidence: 99%

Functional-Structural Modelling of Gramineae

Fournier¹,

Andrieu²,

Buck-Sorlin³

et al. 2007

Functional-Structural Plant Modelling in Crop Production

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Abstract. The Gramineae have been a pioneer group among non-woody plants to be modelled with the approach of functional-structural plant modelling (FSPM). During the past decade, models have focussed on morphological aspects of plant development. They now provide crop scientists with general guidelines for building new cereal models. We present some of them here, considering the different aspects of cereal architectural modelling: plant development, pattern formation and plant geometry. We also review some significant examples that illustrate the different types of uses of these models for agronomic research. We conclude that the next generation of cereal models should be based on a less empirical modelling of the processes that control morphogenesis.

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“…A generalized leaf area equation LA = α × L × W for maize plants was proposed by Montgomery, (1911), based on a rectangle area L × W (L -leaf length, W -leaf width) and on a weighing factor (α) equal to 0.75. However, several authors indicated that the weighting factor may vary depending on the maize variety (Bange et al, 2000;Carvalho and Christoffoleti, 2007;Tivet et al, 2001), plant development stage (Bange et al, 2000), environmental conditions and agronomic practices (Elings, 2000;Sezer et al, 2009). Therefore, application of this classic equation requires a measurement of length and width of all leaves on a plant, which is very labour and time consuming, and can be a source of errors.…”

Section: Introductionmentioning

confidence: 99%

Maize leaf area estimation in different growth stages based on allometric descriptors

Mananze¹,

Pôças²,

Cunha³

2018

Afr. J. Agric. Res.

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The literature points out the need for leaf area (LA) calibration models that are suitable for specific varieties (variety-specific). These models should be capable of coping with different crop conditions, growth stages, and agronomic practices. The objective of the current study was to develop a model for estimating the LA of maize (Zea mays L.), considering the entire growth cycle, based on non-destructive allometric measurements. The proposed model was derived from a multiple regression analysis of LA data obtained from digital image processing, including the number of leaves per plant (NL) and the product of major leaf length per major leaf width of the greater leaf (MLL × MLW). A high percent of data variability in the LA of maize plants was explained by the model, both in the calibration and validation phases (R 2 = 0.90; n = 30). Overall, the selected model presented good performance in the estimation of LA of maize, variety PAN 53, cultivated under the conditions of the present study area. Additionally, the model enabled the estimation of LA at different stages of the crop cycle. The results indicated a positive potential for using the developed model to support several maize cultural practices.

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Leaf Blade Dimensions of Rice (Oryza sativa L. and Oryza glaberrima Steud.). Relationships between Tillers and the Main Stem

Cited by 54 publications

References 19 publications

Phenotypic Plasticity of Rice Seedlings: Case of Phosphorus Deficiency

Phenotypic Plasticity of Rice Seedlings: Case of Phosphorus Deficiency

Functional-Structural Modelling of Gramineae

Maize leaf area estimation in different growth stages based on allometric descriptors

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