A model-guided holistic review of exploiting natural variation of photosynthesis traits in crop improvement

Breeding for improved leaf photosynthesis is considered as a viable approach to increase crop yield. Whether it should be improved in combination with other traits has not been assessed critically. Based on the quantitative crop model GECROS that interconnects various traits to crop productivity, we review natural variation in relevant traits, from biochemical aspects of leaf photosynthesis to morpho-physiological crop characteristics. While large phenotypic variations (sometimes >2-fold) for leaf photosynthesis and its underlying biochemical parameters were reported, few quantitative trait loci (QTL) were identified, accounting for a small percentage of phenotypic variation. More QTL were reported for sink size (that feeds back on photosynthesis) or morpho-physiological traits (that affect canopy productivity and duration), together explaining a much greater percentage of their phenotypic variation. Traits for both photosynthetic rate and sustaining it during grain filling were strongly related to nitrogen-related traits. Much of the molecular basis of known photosynthesis QTL thus resides in genes controlling photosynthesis indirectly. Simulation using GECROS demonstrated the overwhelming importance of electron transport parameters, compared with the maximum Rubisco activity that largely determines the commonly studied light-saturated photosynthetic rate. Exploiting photosynthetic natural variation might significantly improve crop yield if nitrogen uptake, sink capacity, and other morpho-physiological traits are co-selected synergistically.

Saved in:
Bibliographic Details
Main Authors: Yin, Xinyou, Gu, Junfei, Dingkuhn, Michael, Struik, Paul C.
Format: article biblioteca
Language:eng
Subjects:F61 - Physiologie végétale - Nutrition, F30 - Génétique et amélioration des plantes, photosynthèse, amélioration des plantes, modèle, variation génétique, morphologie végétale, variation phénotypique, performance de culture, composition biochimique, http://aims.fao.org/aos/agrovoc/c_5812, http://aims.fao.org/aos/agrovoc/c_5956, http://aims.fao.org/aos/agrovoc/c_4881, http://aims.fao.org/aos/agrovoc/c_15975, http://aims.fao.org/aos/agrovoc/c_13434, http://aims.fao.org/aos/agrovoc/c_903c4959, http://aims.fao.org/aos/agrovoc/c_35199, http://aims.fao.org/aos/agrovoc/c_325cb76a,
Online Access:http://agritrop.cirad.fr/600784/
http://agritrop.cirad.fr/600784/7/600784.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-cirad-fr-600784
record_format koha
spelling dig-cirad-fr-6007842024-01-29T19:05:10Z http://agritrop.cirad.fr/600784/ http://agritrop.cirad.fr/600784/ A model-guided holistic review of exploiting natural variation of photosynthesis traits in crop improvement. Yin Xinyou, Gu Junfei, Dingkuhn Michael, Struik Paul C.. 2022. Journal of Experimental Botany, 73 (10) : 3173-3188.https://doi.org/10.1093/jxb/erac109 <https://doi.org/10.1093/jxb/erac109> A model-guided holistic review of exploiting natural variation of photosynthesis traits in crop improvement Yin, Xinyou Gu, Junfei Dingkuhn, Michael Struik, Paul C. eng 2022 Journal of Experimental Botany F61 - Physiologie végétale - Nutrition F30 - Génétique et amélioration des plantes photosynthèse amélioration des plantes modèle variation génétique morphologie végétale variation phénotypique performance de culture composition biochimique http://aims.fao.org/aos/agrovoc/c_5812 http://aims.fao.org/aos/agrovoc/c_5956 http://aims.fao.org/aos/agrovoc/c_4881 http://aims.fao.org/aos/agrovoc/c_15975 http://aims.fao.org/aos/agrovoc/c_13434 http://aims.fao.org/aos/agrovoc/c_903c4959 http://aims.fao.org/aos/agrovoc/c_35199 http://aims.fao.org/aos/agrovoc/c_325cb76a Breeding for improved leaf photosynthesis is considered as a viable approach to increase crop yield. Whether it should be improved in combination with other traits has not been assessed critically. Based on the quantitative crop model GECROS that interconnects various traits to crop productivity, we review natural variation in relevant traits, from biochemical aspects of leaf photosynthesis to morpho-physiological crop characteristics. While large phenotypic variations (sometimes >2-fold) for leaf photosynthesis and its underlying biochemical parameters were reported, few quantitative trait loci (QTL) were identified, accounting for a small percentage of phenotypic variation. More QTL were reported for sink size (that feeds back on photosynthesis) or morpho-physiological traits (that affect canopy productivity and duration), together explaining a much greater percentage of their phenotypic variation. Traits for both photosynthetic rate and sustaining it during grain filling were strongly related to nitrogen-related traits. Much of the molecular basis of known photosynthesis QTL thus resides in genes controlling photosynthesis indirectly. Simulation using GECROS demonstrated the overwhelming importance of electron transport parameters, compared with the maximum Rubisco activity that largely determines the commonly studied light-saturated photosynthetic rate. Exploiting photosynthetic natural variation might significantly improve crop yield if nitrogen uptake, sink capacity, and other morpho-physiological traits are co-selected synergistically. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/600784/7/600784.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1093/jxb/erac109 10.1093/jxb/erac109 info:eu-repo/semantics/altIdentifier/doi/10.1093/jxb/erac109 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1093/jxb/erac109 info:eu-repo/grantAgreement/EC/H2020/817690//(EU) Preparatory action to Boost Global Crop Yield for Food & Nutrition Security and fueling a Bioeconomy/CropBooster-P
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic F61 - Physiologie végétale - Nutrition
F30 - Génétique et amélioration des plantes
photosynthèse
amélioration des plantes
modèle
variation génétique
morphologie végétale
variation phénotypique
performance de culture
composition biochimique
http://aims.fao.org/aos/agrovoc/c_5812
http://aims.fao.org/aos/agrovoc/c_5956
http://aims.fao.org/aos/agrovoc/c_4881
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_13434
http://aims.fao.org/aos/agrovoc/c_903c4959
http://aims.fao.org/aos/agrovoc/c_35199
http://aims.fao.org/aos/agrovoc/c_325cb76a
F61 - Physiologie végétale - Nutrition
F30 - Génétique et amélioration des plantes
photosynthèse
amélioration des plantes
modèle
variation génétique
morphologie végétale
variation phénotypique
performance de culture
composition biochimique
http://aims.fao.org/aos/agrovoc/c_5812
http://aims.fao.org/aos/agrovoc/c_5956
http://aims.fao.org/aos/agrovoc/c_4881
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_13434
http://aims.fao.org/aos/agrovoc/c_903c4959
http://aims.fao.org/aos/agrovoc/c_35199
http://aims.fao.org/aos/agrovoc/c_325cb76a
spellingShingle F61 - Physiologie végétale - Nutrition
F30 - Génétique et amélioration des plantes
photosynthèse
amélioration des plantes
modèle
variation génétique
morphologie végétale
variation phénotypique
performance de culture
composition biochimique
http://aims.fao.org/aos/agrovoc/c_5812
http://aims.fao.org/aos/agrovoc/c_5956
http://aims.fao.org/aos/agrovoc/c_4881
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_13434
http://aims.fao.org/aos/agrovoc/c_903c4959
http://aims.fao.org/aos/agrovoc/c_35199
http://aims.fao.org/aos/agrovoc/c_325cb76a
F61 - Physiologie végétale - Nutrition
F30 - Génétique et amélioration des plantes
photosynthèse
amélioration des plantes
modèle
variation génétique
morphologie végétale
variation phénotypique
performance de culture
composition biochimique
http://aims.fao.org/aos/agrovoc/c_5812
http://aims.fao.org/aos/agrovoc/c_5956
http://aims.fao.org/aos/agrovoc/c_4881
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_13434
http://aims.fao.org/aos/agrovoc/c_903c4959
http://aims.fao.org/aos/agrovoc/c_35199
http://aims.fao.org/aos/agrovoc/c_325cb76a
Yin, Xinyou
Gu, Junfei
Dingkuhn, Michael
Struik, Paul C.
A model-guided holistic review of exploiting natural variation of photosynthesis traits in crop improvement
description Breeding for improved leaf photosynthesis is considered as a viable approach to increase crop yield. Whether it should be improved in combination with other traits has not been assessed critically. Based on the quantitative crop model GECROS that interconnects various traits to crop productivity, we review natural variation in relevant traits, from biochemical aspects of leaf photosynthesis to morpho-physiological crop characteristics. While large phenotypic variations (sometimes >2-fold) for leaf photosynthesis and its underlying biochemical parameters were reported, few quantitative trait loci (QTL) were identified, accounting for a small percentage of phenotypic variation. More QTL were reported for sink size (that feeds back on photosynthesis) or morpho-physiological traits (that affect canopy productivity and duration), together explaining a much greater percentage of their phenotypic variation. Traits for both photosynthetic rate and sustaining it during grain filling were strongly related to nitrogen-related traits. Much of the molecular basis of known photosynthesis QTL thus resides in genes controlling photosynthesis indirectly. Simulation using GECROS demonstrated the overwhelming importance of electron transport parameters, compared with the maximum Rubisco activity that largely determines the commonly studied light-saturated photosynthetic rate. Exploiting photosynthetic natural variation might significantly improve crop yield if nitrogen uptake, sink capacity, and other morpho-physiological traits are co-selected synergistically.
format article
topic_facet F61 - Physiologie végétale - Nutrition
F30 - Génétique et amélioration des plantes
photosynthèse
amélioration des plantes
modèle
variation génétique
morphologie végétale
variation phénotypique
performance de culture
composition biochimique
http://aims.fao.org/aos/agrovoc/c_5812
http://aims.fao.org/aos/agrovoc/c_5956
http://aims.fao.org/aos/agrovoc/c_4881
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_13434
http://aims.fao.org/aos/agrovoc/c_903c4959
http://aims.fao.org/aos/agrovoc/c_35199
http://aims.fao.org/aos/agrovoc/c_325cb76a
author Yin, Xinyou
Gu, Junfei
Dingkuhn, Michael
Struik, Paul C.
author_facet Yin, Xinyou
Gu, Junfei
Dingkuhn, Michael
Struik, Paul C.
author_sort Yin, Xinyou
title A model-guided holistic review of exploiting natural variation of photosynthesis traits in crop improvement
title_short A model-guided holistic review of exploiting natural variation of photosynthesis traits in crop improvement
title_full A model-guided holistic review of exploiting natural variation of photosynthesis traits in crop improvement
title_fullStr A model-guided holistic review of exploiting natural variation of photosynthesis traits in crop improvement
title_full_unstemmed A model-guided holistic review of exploiting natural variation of photosynthesis traits in crop improvement
title_sort model-guided holistic review of exploiting natural variation of photosynthesis traits in crop improvement
url http://agritrop.cirad.fr/600784/
http://agritrop.cirad.fr/600784/7/600784.pdf
work_keys_str_mv AT yinxinyou amodelguidedholisticreviewofexploitingnaturalvariationofphotosynthesistraitsincropimprovement
AT gujunfei amodelguidedholisticreviewofexploitingnaturalvariationofphotosynthesistraitsincropimprovement
AT dingkuhnmichael amodelguidedholisticreviewofexploitingnaturalvariationofphotosynthesistraitsincropimprovement
AT struikpaulc amodelguidedholisticreviewofexploitingnaturalvariationofphotosynthesistraitsincropimprovement
AT yinxinyou modelguidedholisticreviewofexploitingnaturalvariationofphotosynthesistraitsincropimprovement
AT gujunfei modelguidedholisticreviewofexploitingnaturalvariationofphotosynthesistraitsincropimprovement
AT dingkuhnmichael modelguidedholisticreviewofexploitingnaturalvariationofphotosynthesistraitsincropimprovement
AT struikpaulc modelguidedholisticreviewofexploitingnaturalvariationofphotosynthesistraitsincropimprovement
_version_ 1792500338409865216