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240710s2024 xx |||||o 00| ||eng c |
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|a 10.1093/jxb/erae291
|2 doi
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|a eng
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|a Zhu, Chen
|e verfasserin
|4 aut
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|a Genotype × environment × management analysis to define allometric rules between leaves and stems in wheat
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|c 2024
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|a Text
|b txt
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 30.10.2024
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|a Date Revised 27.11.2024
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|a published: Print
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|a Citation Status MEDLINE
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|a © The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For commercial re-use, please contact reprintsoup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.
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|a Allometric rules provide insights into structure-function relationships across species and scales and are commonly used in ecology. The fields of agronomy, plant phenotyping, and modeling also need simplifications such as those provided by allometric rules to reconcile data at different temporal and spatial levels (organs/canopy). This study explores the variations in relationships for wheat in terms of the distribution of crop green area between leaves and stems, and the allocation of above-ground biomass between leaves and stems during the vegetative period, using a large dataset covering different years, countries, genotypes, and management practices. The results showed that the relationship between leaf and stem area was linear, genotype-specific, and sensitive to radiation. The relationship between leaf and stem biomass depended on genotype and nitrogen fertilization. The mass per area, associating area and biomass for both leaf and stem, varied strongly by developmental stage and was significantly affected by environment and genotype. These allometric rules were evaluated and shown to have satisfactory performance, and their potential use is discussed with regard to current phenotyping techniques and plant/crop models. Our results enable the definition of models and minimum datasets required for characterizing diversity panels and making predictions in various genotype × environment × management contexts
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|a Journal Article
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|a Triticum aestivum
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|a Allometric rules
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| 650 |
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|a biomass
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|a crop management
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|a genotype × environment interaction
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|a leaf area
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| 650 |
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|a leaf mass per area
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| 650 |
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|a stem mass per area
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| 650 |
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|a wheat
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|a Liu, Shouyang
|e verfasserin
|4 aut
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|a Parent, Boris
|e verfasserin
|4 aut
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| 700 |
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|a Yin, Xiaogang
|e verfasserin
|4 aut
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| 700 |
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|a de Solan, Benoit
|e verfasserin
|4 aut
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| 700 |
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|a Jiang, Dong
|e verfasserin
|4 aut
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| 700 |
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|a Ding, Yanfeng
|e verfasserin
|4 aut
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|a Baret, Fred
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of experimental botany
|d 1985
|g 75(2024), 20 vom: 30. Okt., Seite 6388-6404
|w (DE-627)NLM098182706
|x 1460-2431
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|g volume:75
|g year:2024
|g number:20
|g day:30
|g month:10
|g pages:6388-6404
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|u http://dx.doi.org/10.1093/jxb/erae291
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