The Use of Near-Infrared Imaging (NIR) as a Fast Non-Destructive Screening Tool to Identify Drought-Tolerant Wheat Genotypes
Donatella Danzi,
Domenico De Paola,
Angelo Petrozza,
Stephan Summerer,
Francesco Cellini,
Domenico Pignone and
Michela Janni
Additional contact information
Donatella Danzi: Institute of Bioscience and Bioresources (IBBR), National Research Council (CNR), Via Amendola 165/A, 70126 Bari, Italy
Domenico De Paola: Institute of Bioscience and Bioresources (IBBR), National Research Council (CNR), Via Amendola 165/A, 70126 Bari, Italy
Angelo Petrozza: Centro Ricerche Metapontum Agrobios-Agenzia Lucana di Sviluppo e di Innovazione in Agricoltura (ALSIA), s.s. Jonica 106, km 448,2, Metaponto di Bernalda, 75010 Matera, Italy
Stephan Summerer: Centro Ricerche Metapontum Agrobios-Agenzia Lucana di Sviluppo e di Innovazione in Agricoltura (ALSIA), s.s. Jonica 106, km 448,2, Metaponto di Bernalda, 75010 Matera, Italy
Francesco Cellini: Centro Ricerche Metapontum Agrobios-Agenzia Lucana di Sviluppo e di Innovazione in Agricoltura (ALSIA), s.s. Jonica 106, km 448,2, Metaponto di Bernalda, 75010 Matera, Italy
Domenico Pignone: Institute of Bioscience and Bioresources (IBBR), National Research Council (CNR), Via Amendola 165/A, 70126 Bari, Italy
Michela Janni: Institute of Materials for Electronics and Magnetism (IMEM), National Research Council (CNR), Parco Area delle Scienze 37/A, 43124 Parma, Italy
Agriculture, 2022, vol. 12, issue 4, 1-8
Abstract:
Due to climate change, many agricultural areas will face shortages in water availability; thus, the mission of the upcoming decades is to ensure food security while improving agriculture sustainability. The development of wheat varieties that are more adaptable to the changing climate is mandatory to achieve this goal. Genetic resources can be the key to unlock a wide genetic potential, but faster, high throughput methods are needed to easily screen the huge amount of available genetic resources. Phenotyping is the central element to exploit wheat genetic resources as it allows us to identify superior genotypes and to achieve selection gain. To select contrasting phenotypes within a core set of 149 durum wheat genotypes, belonging to the National Research Council (CNR) germplasm collection, under drought stress conditions, we studied plant water status gained by NIR imaging. By the application of the present method, it was possible to rapidly identify and select a set of putative genotypes highly tolerant to drought, as well as a set of contrasting genotypes, for further studies and/or for breeding programs. This promising approach is scalable to a larger number of genotypes in pre-breeding program.
Keywords: durum wheat; genetic resources; NIR; phenotype selection; plant phenotyping (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
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