Allometric Relationships of Maize Organ Development under Different Water Regimes and Plant Densities

Song, Youhong; Birch, CJ; Rui, Yukui; Hanan, Jim

doi:10.1626/pps.18.1

Cited by 13 publications

(11 citation statements)

References 49 publications

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“…It has since long attracted the attention of breeders, as the prediction of morphology (in an effort to achieve the ideal plant architecture) could be a tool for improving the grain yield. Maize organ allometry is an approach that represents the robust linkage between the morphology and the physiological processes at the organ level, enabling crop models to represent crop growth and development more faithfully to the underlying biological processes ( Song et al, 2015 ). In a previous study ( Sher et al, 2016 ), the effect of plant density on canopy morphology was quantified using linear and polynomial regression equations between two consecutive plant densities.…”

Section: Discussionmentioning

confidence: 99%

“…The data were collected according to Song et al (2015 , 2016 ) and Sher et al (2016) as discussed below. From each subplot, 10 representative plants were chosen when the plants had five visible leaves (three fully expanded) to guide distinctive samplings of canopy development.…”

Section: Methodsmentioning

confidence: 99%

“…Minimum number of tillers were observed in all plant densities and the analyses of plant data were based on the sampled plants without any tillers. After emergence, a base temperature of 8°C related to the thermal time was used to determine the plant organ development ( Song et al, 2015 , 2016 ; Sher et al, 2016 ).…”

Section: Methodsmentioning

confidence: 99%

“…The phenotypes of grasses show differences depending on their growth conditions and are affected by abiotic environments ( Maddonni and Otegui, 1996 ; Dingkuhn et al, 2006 ; Manschadi et al, 2006 ; Song et al, 2015 ) and ontogenic contingency ( Watson et al, 1995 ). Architectural plasticity has been widely discussed ( Schlichting, 1986 ; Sultan, 2000 ; Niklas, 2003 ; Vandenbussche et al, 2005 ), and as formulated by de Kroon et al (2005) , can be expressed at the level of individual plant subunits, the whole plant reaction being an integrative by-product.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of the Effect of Increased Plant Density on Canopy Morphology and Stalk Lodging Risk

et al. 2018

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Plants react to the environment and to management interventions by undergoing architectural and structural modifications. A field trial was conducted in China in 2016 to study the effects of the plant population on morphological development of the maize canopy. The main objectives of the current study were (i) to characterize the effects of increased plant density on canopy morphology and stalk lodging and (ii) to explore the relationships between organ morphology and stalk lodging. The field experiment was composed of five plant densities (4.5, 6, 7.5, 9, and 15 plants m−2) of three cultivars: Zhengdan 958 (lodging-resistant cultivar), Longping 206 and Jinqiu 119 (lodging-susceptible cultivars). In response to plant densities of all the three cultivars, the lamina and sheath lengths increased in lower phytomers but decreased in upper phytomers. The lamina width and internode diameter decreased for all phytomers in response to plant densities for all the cultivars. The correlation between organ morphology, plant density and stalk lodging was linear. Data obtained from characterization used in this study (that is, canopy morphology, correlation of organ morphology with stalk lodging traits in response to various plant densities for different cultivars, etc.) will be useful in future modeling studies to predict the morphology characteristics of the canopy affected by interplant competition and stalk lodging.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Characterization of the Effect of Increased Plant Density on Canopy Morphology and Stalk Lodging Risk

et al. 2018

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“…Several studies have focused on deciphering the coordination rules between organs to predict the balance between biomass accumulation and organ size (Song et al, 2015), the timing of plant growth (Fournier et al, 2005;Verdenal et al, 2008;Zhu et al, 2014), and the final size of organs (Evers et al, 2005). These relationships are parameterized mainly in FSPMs, which are descriptive models that need to be calibrated in each new condition.…”

Section: Discussionmentioning

confidence: 99%

A Model of Leaf Coordination to Scale-Up Leaf Expansion from the Organ to the Canopy

Martre

Dambreville

2017

Plant Physiol.

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Process-based crop growth models are popular tools with which to analyze and understand the impact of crop management, genotype-by-environment interactions, or climate change. The ability to predict leaf area development is critical to predict crop growth, particularly under conditions of limited resources. Here, we aimed at deciphering growth coordination rules between wheat () plant organs (i.e. between leaves within a stem, between laminae and sheaths, and between the mainstem and axillary tillers) to model the dynamics of canopy development. We found a unique relationship between laminae area and leaf rank for the mainstem and its tillers, which was robust across a range of sowing dates and plant densities. Robust relationships between laminae and sheath areas also were found, highlighting the tight control of organ growth within and between phytomers. These relationships identified at the phytomer scale were used to develop a simulation model of leaf area dynamics at the canopy level that was integrated in the wheat model SiriusQuality. The model was then evaluated using several independent experiments. The model accurately predicts leaf area dynamics under different scenarios of nitrogen and water limitations. It accounted for 85%, 64%, and 73% of the variability of the surface area of leaf cohorts, total leaf area index, and total green area index, respectively. The process-based model of the dynamics of leaf area described here is a key element to quantify the value of candidate traits for use in plant breeding and to project the impact of climate change on wheat growth.

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Root and Shoot Relation of the Quinoa and Forage Plants in Salt-Affected Clay Soil

Mamedov

Gasimova

Husiyev

et al. 2020

Environment &Amp; Policy

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Allometric Relationships of Maize Organ Development under Different Water Regimes and Plant Densities

Cited by 13 publications

References 49 publications

Characterization of the Effect of Increased Plant Density on Canopy Morphology and Stalk Lodging Risk

Characterization of the Effect of Increased Plant Density on Canopy Morphology and Stalk Lodging Risk

A Model of Leaf Coordination to Scale-Up Leaf Expansion from the Organ to the Canopy

Root and Shoot Relation of the Quinoa and Forage Plants in Salt-Affected Clay Soil

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