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Back to the future for drought tolerance.
Guadarrama-Escobar, Luis M; Hunt, James; Gurung, Allison; Zarco-Tejada, Pablo J; Shabala, Sergey; Camino, Carlos; Hernandez, Pilar; Pourkheirandish, Mohammad.
Afiliação
  • Guadarrama-Escobar LM; School of Agriculture, Food and Ecosystem Sciences (SAFES), University of Melbourne, Melbourne, Vic., 3010, Australia.
  • Hunt J; School of Agriculture, Food and Ecosystem Sciences (SAFES), University of Melbourne, Melbourne, Vic., 3010, Australia.
  • Gurung A; School of Agriculture, Food and Ecosystem Sciences (SAFES), University of Melbourne, Melbourne, Vic., 3010, Australia.
  • Zarco-Tejada PJ; School of Agriculture, Food and Ecosystem Sciences (SAFES), University of Melbourne, Melbourne, Vic., 3010, Australia.
  • Shabala S; Department of Infrastructure Engineering (IE), Faculty of Engineering and Information Technology (FEIT), University of Melbourne, Melbourne, Vic., 3010, Australia.
  • Camino C; Institute for Sustainable Agriculture (IAS), Spanish Council for Scientific Research (CSIC), Cordoba, 14004, Spain.
  • Hernandez P; School of Biological Sciences, University of Western Australia, Perth, WA, 6009, Australia.
  • Pourkheirandish M; International Research Centre for Environmental Membrane Biology, Foshan University, Foshan, 528000, China.
New Phytol ; 242(2): 372-383, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38429882
ABSTRACT
Global agriculture faces increasing pressure to produce more food with fewer resources. Drought, exacerbated by climate change, is a major agricultural constraint costing the industry an estimated US$80 billion per year in lost production. Wild relatives of domesticated crops, including wheat (Triticum spp.) and barley (Hordeum vulgare L.), are an underutilized source of drought tolerance genes. However, managing their undesirable characteristics, assessing drought responses, and selecting lines with heritable traits remains a significant challenge. Here, we propose a novel strategy of using multi-trait selection criteria based on high-throughput spectral images to facilitate the assessment and selection challenge. The importance of measuring plant capacity for sustained carbon fixation under drought stress is explored, and an image-based transpiration efficiency (iTE) index obtained via a combination of hyperspectral and thermal imaging, is proposed. Incorporating iTE along with other drought-related variables in selection criteria will allow the identification of accessions with diverse tolerance mechanisms. A comprehensive approach that merges high-throughput phenotyping and de novo domestication is proposed for developing drought-tolerant prebreeding material and providing breeders with access to gene pools containing unexplored drought tolerance mechanisms.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Produtos Agrícolas / Resistência à Seca Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Produtos Agrícolas / Resistência à Seca Idioma: En Ano de publicação: 2024 Tipo de documento: Article