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        Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops 

        Virlet, Nicolas; Lyra, Danilo H.; Hawkesford, Malcolm J. (2022)
        The revolution in digital phenotyping combined with the new layers of omics and envirotyping tools offers great promise to improve selection and accelerate genetic gains for crop improvement. This chapter examines the ...
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        Modifying mesophyll conductance to optimise photosynthesis in crops 

        Salesse-Smith, Coralie E.; Driever, Steven M.; Clarke, Victoria C. (2023)
        Mesophyll conductance (gm), the ease with which carbon dioxide can diffuse into and through plant cells, is a promising target for improving photosynthetic rates in plants. Barriers including cell walls, membranes, liquid ...
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        Integrated weed management in grasslands 

        Schaffner, Urs; Müller-Schärer, Heinz; Lüscher, Andreas (2022)
        This chapter describes the current status of IWM for grasslands. Its focus is on management practices available to influence transitions in a weed’s life cycle: from the soil seed bank to seedling establishment, from the ...
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        Relaxing non-photochemical quenching (NPQ) to improve photosynthesis in crops 

        Kromdijk, Johannes; Walter, Julia (2023)
        Sunlight intercepted by crop plants drives photosynthesis and growth. However, the light-harvesting antenna complexes that capture light energy for photosynthesis can also absorb too much light, which enhances the formation ...
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        Advances in managing organic matter in turfgrass ecosystems 

        Kowalewski, Alec; Schmid, Charles; Wang, Ruying; Braithwaite, Emily (2023)
        Organic matter (OM) management is a critical component in sustainable turfgrass management. Organic matter improves the soils’ ability to hold nutrients and water. However, when OM accumulation is excessive, several ...
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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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