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
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:
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