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231225s2022 xx |||||o 00| ||eng c |
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|a 10.1093/jxb/erac076
|2 doi
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|a pubmed24n1125.xml
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Theeuwen, Tom P J M
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Genetics as a key to improving crop photosynthesis
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|c 2022
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 25.05.2022
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|a Date Revised 03.08.2022
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|a published: Print
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|a Citation Status MEDLINE
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|a © The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Experimental Biology.
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|a Since the basic biochemical mechanisms of photosynthesis are remarkably conserved among plant species, genetic modification approaches have so far been the main route to improve the photosynthetic performance of crops. Yet, phenotypic variation observed in wild species and between varieties of crop species implies there is standing natural genetic variation for photosynthesis, offering a largely unexplored resource to use for breeding crops with improved photosynthesis and higher yields. The reason this has not yet been explored is that the variation probably involves thousands of genes, each contributing only a little to photosynthesis, making them hard to identify without proper phenotyping and genetic tools. This is changing, though, and increasingly studies report on quantitative trait loci for photosynthetic phenotypes. So far, hardly any of these quantitative trait loci have been used in marker assisted breeding or genomic selection approaches to improve crop photosynthesis and yield, and hardly ever have the underlying causal genes been identified. We propose to take the genetics of photosynthesis to a higher level, and identify the genes and alleles nature has used for millions of years to tune photosynthesis to be in line with local environmental conditions. We will need to determine the physiological function of the genes and alleles, and design novel strategies to use this knowledge to improve crop photosynthesis through conventional plant breeding, based on readily available crop plant germplasm. In this work, we present and discuss the genetic methods needed to reveal natural genetic variation, and elaborate on how to apply this to improve crop photosynthesis
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|a Journal Article
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| 650 |
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|a Research Support, Non-U.S. Gov't
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| 650 |
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4 |
|a Bi- and multiparental populations
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| 650 |
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4 |
|a diversity panels
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| 650 |
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4 |
|a gene validation
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| 650 |
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4 |
|a genome wide association studies (GWAS)
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| 650 |
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4 |
|a improving photosynthesis
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| 650 |
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4 |
|a natural genetic variation
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| 650 |
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4 |
|a quantitative trait locus (QTL) mapping
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| 700 |
1 |
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|a Logie, Louise L
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Harbinson, Jeremy
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Aarts, Mark G M
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Journal of experimental botany
|d 1985
|g 73(2022), 10 vom: 23. Mai, Seite 3122-3137
|w (DE-627)NLM098182706
|x 1460-2431
|7 nnns
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| 773 |
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|g volume:73
|g year:2022
|g number:10
|g day:23
|g month:05
|g pages:3122-3137
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| 856 |
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|u http://dx.doi.org/10.1093/jxb/erac076
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