Quantifying senescence in bread wheat using multispectral imaging from an unmanned aerial vehicle and QTL mapping.

ABSTRACT: Environmental stresses from climate change can alter source-sink relations during plant maturation, leading to premature senescence and decreased yields. Elucidating the genetic control of natural variations for senescence in wheat (Triticum aestivum) can be accelerated using recent developments in unmanned aerial vehicle (UAV)-based imaging techniques. Here, we describe the use of UAVs to quantify senescence in wheat using vegetative indices (VIs) derived from multispectral images. We detected senescence with high heritability, as well as its impact on grain yield (GY), in a doubled-haploid population and parent cultivars at various growth time points (TPs) after anthesis in the field. Selecting for slow senescence using a combination of different UAV-based VIs was more effective than usi

SUBMITTER: Hassan MA 

PROVIDER: S-EPMC8644761 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature