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

期刊

JOURNAL OF EXPERIMENTAL BOTANY
卷 73, 期 10, 页码 3173-3188

出版社

OXFORD UNIV PRESS
DOI: 10.1093/jxb/erac109

关键词

Canopy traits; crop model; electron transport; QTL; source-sink relationships; trait synergy; yield improvement

资金

  1. European Union [817690]
  2. CropBooster-P project via XY's participation
  3. H2020 Societal Challenges Programme [817690] Funding Source: H2020 Societal Challenges Programme

向作者/读者索取更多资源

Exploiting photosynthetic natural variation can significantly improve crop yield by improving electron transport, nitrogen uptake, and morpho-physiological components. Breeding for improved leaf photosynthesis is considered as a viable approach to increase crop yield. Additionally, traits for both photosynthetic rate and sustaining it during grain filling were strongly related to nitrogen-related traits.
Exploiting photosynthetic natural variation can significantly improve yield if electron transport, nitrogen uptake, and morpho-physiological components are improved synergistically. 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.

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