Resumen:
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[EN] Identification of novel genotypes with enhanced nitrogen use efficiency (NUE) is a key challenge for a sustainable tomato production. In this respect, the performance of a panel of thirty tomato accessions were evaluated ...[+]
[EN] Identification of novel genotypes with enhanced nitrogen use efficiency (NUE) is a key challenge for a sustainable tomato production. In this respect, the performance of a panel of thirty tomato accessions were evaluated under high (HN; 5 mM N) and low (LN; 0.5 mM N) nitrogen irrigation solutions. For each treatment, when 50% of plants reached the first flower bud stage, plant growth and biomass traits, chlorophyll, flavonol and anthocyanin indexes, nitrogen balance index (NBI), C:N ratio in leaves, stems, and roots, and NUE were evaluated. Significant (p < 0.05) effects were observed for accession, N treatment, and their interaction across all the traits. Under LN, plants showed a delayed development (40 days for HN vs. 65 days for LN) and reduced growth and biomass. On average, LN condition led to 41.8% decrease in nitrogen uptake efficiency (NUpE) but also 189.0% increase in NUtE, resulting in 62.2% overall increase in NUE. A broad range of variation among accessions was observed under both HN and LN conditions. Under LN conditions, chlorophyll index and NBI decreased, while flavonol and anthocyanin indexes increased. Leaf C:N ratio was positively correlated with nitrogen utilisation efficiency (NUtE) in both N treatments. Multi-trait analyses identified top-performing accessions under each condition, allowing to identify one accession among top performers under both conditions. Correlation analysis revealed that high root biomass and leaf C:N ratio are useful markers for selecting high NUE accessions. These findings offer valuable insights for improving tomato NUE under varying nitrogen fertilization conditions and for breeding high-NUE cultivars.
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Agradecimientos:
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This work was supported by the project SOLNUE in the framework of the H2020 call SusCrop-ERA-Net (ID#47) , which was funded by MCIN/AEI/10.13039/501100011033 (PCI2019-103375) and co-funded by the European Union. Funding ...[+]
This work was supported by the project SOLNUE in the framework of the H2020 call SusCrop-ERA-Net (ID#47) , which was funded by MCIN/AEI/10.13039/501100011033 (PCI2019-103375) and co-funded by the European Union. Funding was also received from grant CIPROM/2021/020 funded by Conselleria d'Educacio, Universitats i Ocupacio of the Generalitat Valenciana, and from grant TED2021-129296B-I00 funded by MCIN/AEI/10.13039/501100011033 and the European Union through NextGeneration EU/PRTR. MF-S is grateful to Conselleria d'Educaci o, Universitats i Ocupacio of the Generalitat Valenciana for a pre-doctoral grant within the Santiago Grisolia program (GRISOLIAP/2021/151) . GV has received a predoctoral (PRE2019-089256) funded by MCIN/AEI/10.13039/501100011033 and by "ESF Investing in your future". PG has received a postdoctoral grant (RYC2021-031999-I) funded by MCIN/AEI/10.13039/501100011033 and by "European Union through NextGeneration EU/PRTR".
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