ArticleFrontiers in plant science2024
High-throughput phenotyping using hyperspectral indicators supports the genetic dissection of yield in durum wheat grown under heat and drought stress.
Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Review
- Deciphering the genetic basis of yield components in wheat by integrating hyperspectral-based phenomes.Plant phenomics (Washington, D.C.) · 2026Article
- Genomics, Multi-Omics, and Emerging Artificial Intelligence for Combined Drought-Heat Stress Resilience in Plants: A Structured Narrative Review.Plants (Basel, Switzerland) · 2026Review
- Hyperspectral phenotyping and GWAS identify novel QTLs for soybean photosynthetic rate.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Beyond R-Genes: Dissecting Metabolic and Nutrient-Driven Wheat Rust Resistance Through Induced Mutagenesis.Plants (Basel, Switzerland) · 2026Review
- MGIDI-based ideotype selection and genetic variation for wheat agronomic traits and bread-making quality (BMQ) under drought stress condition.BMC plant biology · 2026Article
- VNIR Hyperspectral Signatures for Early Detection and Machine-Learning Classification of Wheat Diseases.Plants (Basel, Switzerland) · 2025Article
- Next-generation translational genomics for developing future crops.Functional & integrative genomics · 2025Review
- Article
- An Iterative Pseudo Label Generation framework for semi-supervised hyperspectral image classification using the Segment Anything Model.Frontiers in plant science · 2024Article
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12 authors.
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Abstract
High-throughput phenotyping (HTP) provides new opportunities for efficiently dissecting the genetic basis of drought-adaptive traits, which is essential in current wheat breeding programs. The combined use of HTP and genome-wide association (GWAS) approaches has been useful in the assessment of complex traits such as yield, under field stress conditions including heat and drought. The aim of this study was to identify molecular markers associated with yield (YLD) in elite durum wheat that could be explained using hyperspectral indices (HSIs) under drought field conditions in Mediterranean environments in Southern Spain. The HSIs were obtained from hyperspectral imagery collected during the pre-anthesis and anthesis crop stages using an airborne platform. A panel of 536 durum wheat lines were genotyped by sequencing (GBS, DArTseq) to determine population structure, revealing a lack of genetic structure in the breeding germplasm. The material was phenotyped for YLD and 19 HSIs for six growing seasons under drought field conditions at two locations in Andalusia, in southern Spain. GWAS analysis identified 740 significant marker-trait associations (MTAs) across all the durum wheat chromosomes, several of which were common for YLD and the HSIs, and can potentially be integrated into breeding programs. Candidate gene (CG) analysis uncovered genes related to important plant processes such as photosynthesis, regulatory biological processes, and plant abiotic stress tolerance. These results are novel in that they combine high-resolution hyperspectral imaging at the field scale with GWAS analysis in wheat. They also support the use of HSIs as useful tools for identifying chromosomal regions related to the heat and drought stress response in wheat, and pave the way for the integration of field HTP in wheat breeding programs.
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