Current limited water availability due to climate changes results in severe drought stress and desiccation in plants. Phenotyping drought tolerance remains challenging. In particular, our knowledge about the discriminating power of traits for capturing a plastic phenotype in high-throughput settings is scant. The study is designed to investigate the differential performance and broad-sense heritability of a battery set of morphological, physiological, and cellular traits to understand the adaptive phenotypic response to drought in spring wheat during the tillering stage. The potential of peroxisome abundance to predict the adaptive response under severe drought was assessed using a high-throughput technique for peroxisome quantification in plants. The research dissected the dynamic changes of some phenological traits during three successive phases of drought using two contrasting genotypes of adaptability to drought. The research demonstrates 5 main findings: (1) a reduction of the overall dimension of the phenological traits for robust phenotyping of the adaptive performance under drought; (2) the abundance of peroxisomes in response to drought correlate negatively with grain yield; (3) the efficiency of ROS homeostasis through peroxisome proliferation which seems to be genetically programmed; and (4) the dynamics of ROS homeostasis seems to be timing dependent mechanism, the tolerant genotype response is earlier than the susceptible genotype. This work will contribute to the identification of robust plastic phenotypic tools and the understanding of the mechanisms for adaptive behavior under drought conditions. Summary statement This study presents the estimated broad-sense heritability of 24 phenological traits under drought compared with non-stressed conditions. The results demonstrated a reduced model of the overall dimension of the phenological traits for phenotyping drought tolerant response including a novel trait (peroxisome abundance). Also, it displays that the adaptive mechanism through peroxisomes proliferation that is a genetic-dependent manner and related to the stress phase, since tolerant plants can sense the stress and maintain the cellular balance earlier than the sensitive plants.

Stripe (yellow) rust, caused by Puccinia striiformis f. sp. tritici, is a devastating disease of wheat (Triticum aestivum) worldwide. In commercial production, stripe rust reduces grain quality, grain yield, and forage yield. This study was conducted to identify quantitative trait locus (QTL) associated with field resistance to stripe rust in hard winter wheat. Stripe rust infection type and severity were rated in recombinant inbred lines (RILs, n = 204) derived from a cross between hard red winter wheat cultivars “Overley” and “Overland” in replicated field trials in the Great Plains and Pacific Northwest. RILs (n = 184) were genotyped with reduced representation sequencing to produce single nucleotide polymorphism (SNP) markers from alignment to the “Chinese Spring” reference sequence, IWGSC v2.1, and from alignment to the reference sequence for “Jagger,” which is a parent of Overley. Genetic linkage maps were developed independently from each set of SNP markers. QTL analysis identified genomic regions on chromosome arms 2AS, 2BS, 2BL, and 2DL that were associated with stripe rust resistance using multi‐environment best linear unbiased predictors for stripe rust infection type and severity. Results for the two linkage maps were very similar. PCR‐based SNP marker assays associated with the QTL regions were developed to efficiently identify these genomic regions in breeding populations.