Genetic variation in eggplant for Nitrogen Use Efficiency under contrasting NO 3 - supply

Eggplant (Solanum melongena L.) yield is highly sensitive to N fertilization, the excessive use of which is responsible for environmental and human health damage. Lowering N input together with the selection of improved Nitrogen-Use-Efficiency (NUE) genotypes, more able to uptake, utilize, and remob...

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Veröffentlicht in:Journal of integrative plant biology 2020-04, Vol.62 (4), p.487-508
Hauptverfasser: Mauceri, Antonio, Bassolino, Laura, Lupini, Antonio, Badeck, Franz, Rizza, Fulvia, Schiavi, Massimo, Toppino, Laura, Abenavoli, Maria Rosa, Rotino, Giuseppe L, Sunseri, Francesco
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Sprache:eng
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Zusammenfassung:Eggplant (Solanum melongena L.) yield is highly sensitive to N fertilization, the excessive use of which is responsible for environmental and human health damage. Lowering N input together with the selection of improved Nitrogen-Use-Efficiency (NUE) genotypes, more able to uptake, utilize, and remobilize N available in soils, can be challenging to maintain high crop yields in a sustainable agriculture. The aim of this study was to explore the natural variation among eggplant accessions from different origins, in response to Low (LN) and High (HN) Nitrate (NO ) supply, to identify NUE-contrasting genotypes and their NUE-related traits, in hydroponic and greenhouse pot experiments. Two eggplants, AM222 and AM22, were identified as N-use efficient and inefficient, respectively, in hydroponic, and these results were confirmed in a pot experiment, when crop yield was also evaluated. Overall, our results indicated the key role of N-utilization component (NUtE) to confer high NUE. The remobilization of N from leaves to fruits may be a strategy to enhance NUtE, suggesting glutamate synthase as a key enzyme. Further, omics technologies will be used for focusing on C-N metabolism interacting networks. The availability of RILs from two other selected NUE-contrasting genotypes will allow us to detect major genes/quantitative trait loci related to NUE.
ISSN:1672-9072
1744-7909
DOI:10.1111/jipb.12823