%0 Journal Article
%A Behn, Helen
%A Ballvora, Agim
%A Bendig, Juliane
%A Ispizua Yamati, Facundo R.
%A Koua, Ahossi Patrice
%A Mahlein, Anne-Katrin
%A Mason, Annaliese S.
%A Rascher, Uwe
%A Sadeqi, Mohammad Bahman
%A Léon, Jens
%T UAV-based multispectral image analysis revealed stay-green haplotypes in wheat specific for different soil nitrogen levels
%J BMC plant biology
%V 25
%N 1
%@ 1471-2229
%C London
%I BioMed Central
%M FZJ-2025-04395
%P 1405
%D 2025
%X The so-called stay-green trait, a delay in onset and progression of leaf senescence, is associated with slower chlorophyll degradation and higher photosynthesis rates during maturation resulting in higher crop yields. Understanding the genetic and physiological basis of the stay-green trait and breeding cultivars with stable stay-green behaviour across a range of different nitrogen (N) conditions and specifically under low N availability can contribute to ensuring wheat yields and reducing N fertilizer application. The goal of this study was therefore to identify haplotypes associated with high stay-green capacity under different N availability conditions in wheat. A diverse set of 221 wheat cultivars was grown under three different N levels and phenotyped by uncrewed aerial vehicle (UAV)-based multispectral imaging to characterise genetic and environmental variation in stay-green. Haplotypes associated with stay-green were identified across N levels and specifically under low N availability.
%F PUB:(DE-HGF)16
%9 Journal Article
%R 10.1186/s12870-025-07441-6
%U https://juser.fz-juelich.de/record/1047569