Genetic analysis of the yield and physical quality of wheat revealed complex genetic control, including strong effects of photoperiod-sensitivity loci. Environmental conditions such as moisture deficit and high temperatures during the growing period affect the grain yield and grain characteristics of bread wheat (Triticum aestivum L.). The aim of this study was to map quantitative trait loci (QTL) for grain yield and grain quality traits using a Drysdale/Gladius bread wheat mapping population grown under a range of environmental conditions in Australia and Mexico. In general, yield and grain quality were reduced in environments exposed to drought and/or heat stress. Despite large effects of known photoperiod-sensitivity loci (Ppd-B1 and Ppd-D1) on crop development, grain yield and grain quality traits, it was possible to detect QTL elsewhere in the genome. Some of these QTL were detected consistently across environments. A locus on chromosome 6A (TaGW2) that is known to be associated with grain development was associated with grain width, thickness and roundness. The grain hardness (Ha) locus on chromosome 5D was associated with particle size index and flour extraction and a region on chromosome 3B was associated with grain width, thickness, thousand grain weight and yield. The genetic control of grain length appeared to be largely independent of the genetic control of the other grain dimensions. As expected, effects on grain yield were detected at loci that also affected yield components. Some QTL displayed QTL-by-environment interactions, with some having effects only in environments subject to water limitation and/or heat stress.

Armillaria species are important root rot pathogens with a wide host range and a worldwide distribution. The taxonomy of these fungi has been problematic for many years but the understanding of the relationships between them has been substantially improved through the application of DNA sequence comparisons. In this study, relationships between different Armillaria species were determined using elongation factor 1-alpha DNA sequence data for the first time. A total of 42 isolates, representing the majority of Armillaria species, with diverse geographic distributions and hosts, were included in this study. PCR amplification yielded products of 600 bp for all the isolates. Phylogenetic trees resulting from parsimony analysis showed that this gene region is useful for studying relationships between species. Generally, results were similar to those emerging from previous comparisons using ITS and IGS-1 sequence data. Phylogenetic trees generated from the dataset grouped the African taxa in a strongly supported clade, basal to the rest of the Armillaria species included in the study. The Armillaria species originating from the Northern Hemisphere formed a monophyletic group. Within this group, isolates of A. mellea constituted four subclades, representing their geographical origin. The phylogenetic relationships among species from the Southern Hemisphere were not entirely resolved. However, A. pallidula, A. fumosa and A. hinnulea grouped in a strongly supported clade and isolates of A. limonea formed a sister clade with those of A. luteobubalina. This is the first time a single-copy protein coding gene has been used to study phylogenetic relationships in Armillaria, and overall the data support previously held views regarding the relationships between species.

HighlightWe describe new quantitative trait loci for growth and transpiration in wheat under two water regimes using an imaging platform, and co-location with loci for yield components in the field.

ORCID IDs: 0000-0002-7600-9592 (B.P.); 0000-0003-3851-8617 (J.B.); 0000-0001-9494-400X (P.L.); 0000-0002-7077-4103 (D.F.).Yield is subject to strong genotype-by-environment (G 3 E) interactions in the field, especially under abiotic constraints such as soil water deficit (drought [D]) and high temperature (heat [H]). Since environmental conditions show strong fluctuations during the whole crop cycle, geneticists usually do not consider environmental measures as quantitative variables but rather as factors in multienvironment analyses. Based on 11 experiments in a field platform with contrasting temperature and soil water deficit, we determined the periods of sensitivity to drought and heat constraints in wheat (Triticum aestivum) and determined the average sensitivities for major yield components. G 3 E interactions were separated into their underlying components, constitutive genotypic effect (G), G 3 D, G 3 H, and G 3 H 3 D, and were analyzed for two genotypes, highlighting contrasting responses to heat and drought constraints. We then tested the constitutive and responsive behaviors of two strong quantitative trait loci (QTLs) associated previously with yield components. This analysis confirmed the constitutive effect of the chromosome 1B QTL and explained the G 3 E interaction of the chromosome 3B QTL by a benefit of one allele when temperature rises. In addition to the method itself, which can be applied to other data sets and populations, this study will support the cloning of a major yield QTL on chromosome 3B that is highly dependent on environmental conditions and for which the climatic interaction is now quantified.