Carbon Isotope Composition and the NDVI as Phenotyping Approaches for Drought Adaptation in Durum Wheat: Beyond Trait Selection
Autor: | José Luis Araus, Roberto Tuberosa, Jeffrey W. White, Rut Sanchez-Bragado, Richard W. Ward, Fadia Chairi, Maria Newcomb, Maria Dolors Serret Molins, Marco Maccaferri, Giuseppe Emanuele Condorelli |
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Přispěvatelé: | Sanchez-Bragado R., Newcomb M., Chairi F., Condorelli G.E., Ward R.W., White J.W., Maccaferri M., Tuberosa R., Araus J.L., Serret Molins M.D. |
Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
Irrigation Drought stress NDVI Biomassa Biology 01 natural sciences Normalized Difference Vegetation Index lcsh:Agriculture 03 medical and health sciences Geologia isotòpica Bioma Anthesis wheat Biomass 030304 developmental biology carbon isotope composition 0303 health sciences Biomass (ecology) biomass Phenology fungi drought stress lcsh:S food and beverages Phenotypic trait Irrigation canals and flumes Agronomy Wheat Trait Drought stre Adaptation Agronomy and Crop Science Isotope geology 010606 plant biology & botany Carbon isotope composition Sèquies |
Zdroj: | Dipòsit Digital de la UB Universidad de Barcelona Repositorio Abierto de la UdL Universitad de Lleida Recercat. Dipósit de la Recerca de Catalunya instname Recercat: Dipósit de la Recerca de Catalunya Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) Agronomy, Vol 10, Iss 1679, p 1679 (2020) Agronomy Volume 10 Issue 11 |
Popis: | High-throughput phenotyping platforms provide valuable opportunities to investigate biomass and drought-adaptive traits. We explored the capacity of traits associated with drought adaptation such as aerial measurements of the Normalized Difference Vegetation Index (NDVI) and carbon isotope composition (&delta 13C) determined at the leaf level to predict genetic variation in biomass. A panel of 248 elite durum wheat accessions was grown at the Maricopa Phenotyping platform (US) under well-watered conditions until anthesis, and then irrigation was stopped and plot biomass was harvested about three weeks later. Globally, the &delta 13C values increased from the first to the second sampling date, in keeping with the imposition of progressive water stress. Additionally, &delta 13C was negatively correlated with final biomass, and the correlation increased at the second sampling, suggesting that accessions with lower water-use efficiency maintained better water status and, thus, performed better. Flowering time affected NDVI predictions of biomass, revealing the importance of developmental stage when measuring the NDVI and the effect that phenology has on its accuracy when monitoring genotypic adaptation to specific environments. The results indicate that in addition to choosing the optimal phenotypic traits, the time at which they are assessed, and avoiding a wide genotypic range in phenology is crucial. |
Databáze: | OpenAIRE |
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