Plant Physiology and Biochemistry· 2026Q1
İHA Fenomik ve GWAS, Buğdayda (Triticum aestivum L.) Erken Kuraklık Toleransının Genetik Mimarisini Ortaya Çıkardı
UAV Phenomics and GWAS Uncover Genetic Architecture of Early Drought Tolerance in Wheat (Triticum aestivum L.)
- 1atıf
- Q1SCImago
- 2026yıl
Kısa özet
İHA tabanlı çok spektrumlu görüntüleme, buğdayda erken kuraklık toleransıyla ilişkili 115 anlamlı kantitatif özellik nükleotidi (QTN) belirledi; 26 pleiotropik lokus ve altı aday gen tespit edildi.
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Ana noktalar
- İHA ile çok spektrumlu görüntüleme, buğdayda kuraklık koşulları altında erken kanopi stresini etkili bir şekilde tespit etti.
- Genom çapında ilişkilendirme çalışmaları, sulanan ve kuraklık koşulları altındaki vejetatif indekslerle ilişkili 115 anlamlı QTN belirledi.
- Koşullar arasında pleiotropik etkilere sahip 26'sı dahil olmak üzere yetmiş dört lokus belirlendi.
- İki tanesi (HSP70 ve ZmMDAR3) kuraklık altında farklı ifade gösteren altı aday gen tanımlandı.
Yapay zekâ ile başlık ve abstract'tan üretildi; tam metin okunmaz.
Özet (abstract)
Abstract Recent advances in unmanned aerial vehicles (UAVs) and multispectral sensor technologies have transformed high-throughput phenotyping as an efficient alternative to traditional approaches. In this study, we employed UAV-based multispectral imaging to monitor early-stage drought stress in wheat. A panel of 221 historical spring wheat cultivars from Pakistan, representing over a century of breeding history, were evaluated under irrigated and drought conditions. UAV flights were conducted twice at early growth stages to capture multispectral imagery, which was processed in Pix4D mapper for image alignment and orthomosaic generation. Plot segmentation and trait extraction were performed in QGIS. Eight drought-responsive vegetative indices (VIs) were analyzed to assess genotypic variation. Significant to highly significant differences were observed among genotypes, treatments, and their interactions across all VIs. Broad-sense heritability estimates were moderate to high for most traits, with predominantly additive gene action. Vegetative indices such as NDVI, GNDVI, EVI, and SAVI showed strong correlations with each other and effectively detected early canopy stress under drought. Principal component analysis based on 23.897K SNPs indicated a mixed genetic population. Genome-wide association studies identified 115 significant QTNs linked to VIs under both conditions, corresponding to 74 loci, including 26 pleiotropic loci. Of these, 10 pleiotropic loci detected under drought were annotated and six putative candidate genes were identified which showed expression in multiple tissues based on transcriptome data. Two genes i.e., TraesCS1D01G217600.1 ( HSP70 ) and TraesCS6D01G254000.1 ( ZmMDAR3 ), showed differential expression pattern among control and drought treatment. These findings highlight the potential of UAV-based phenotyping for early drought detection and provide candidate genes for improving drought tolerance in wheat. Future research should focus on the functional roles of these genes under drought stress.
Yazarların özeti; kaynağından alınmıştır. Plant Physiology and Biochemistry, 2026 · DOI ↗
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