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Tremendous progress has been made in variety development and host plant resistance to mitigate the impact of Fusarium head blight (FHB) since the disease manifested in the southeastern United States in the early 2000s. Much of this improvement was made possible through the establishment of and recurring support from the US Wheat & Barley Scab Initiative (USWBSI). Since its inception in 1997, the USWBSI has enabled land‐grant institutions to make advances in reducing the annual threat of devastating FHB epidemics. A coordinated field phenotyping effort for annual germplasm screening has become a staple tool for selection in public and private soft red winter wheat (SRWW) breeding programmes. Dedicated efforts of many SRWW breeders to identify and utilize resistance genes from both native and exotic sources provided a strong foundation for improvement. In recent years, implementation of genomics‐enabled breeding has further accelerated genetic gains in FHB resistance. This article reflects on the improvement of FHB resistance in southern SRWW and contextualizes the monumental progress made by collaborative, persistent, and good old‐fashioned cultivar development. [ABSTRACT FROM AUTHOR]

The presence or absence of awns—whether wheat heads are 'bearded' or 'smooth' – is the most visible phenotype distinguishing wheat cultivars. Previous studies suggest that awns may improve yields in heat or water-stressed environments, but the exact contribution of awns to yield differences remains unclear. Here we leverage historical phenotypic, genotypic, and climate data for wheat (Triticum aestivum) to estimate the yield effects of awns under different environmental conditions over a 12-year period in the southeastern USA. Lines were classified as awned or awnless based on sequence data, and observed heading dates were used to associate grain fill periods of each line in each environment with climatic data and grain yield. In most environments, awn suppression was associated with higher yields, but awns were associated with better performance in heat-stressed environments more common at southern locations. Wheat breeders in environments where awns are only beneficial in some years may consider selection for awned lines to reduce year-to-year yield variability, and with an eye towards future climates. [ABSTRACT FROM AUTHOR]

Focus on local food production and supply chains has heightened in recent years, as evidenced and amplified by the COVID-19 pandemic. This study aimed to assess the suitability of soft red winter (SRW) wheat breeding lines for local artisan bakers interested in locally sourced, strong gluten wheat for bread. Seventy-six genotyped SRW wheat breeding lines were milled into whole wheat flour and baked into small loaves. Bread aroma, flavor, and texture were evaluated by a sensory panel, and bread quality traits, including sedimentation volume, dough extensibility, and loaf volume, were measured to estimate heritability. SE-HPLC was performed on white flour, and breeding lines were characterized for different protein fraction ratios. Heritability of loaf volume was moderately high (h2 = 0.68), while heritability of sedimentation volume, a much easier trait to measure, was slightly lower (h2 = 0.55). Certain protein fraction ratios strongly related to loaf volume had high heritability (h2 = 0.7). Even though only a moderate heritability estimate of dough extensibility was found in our study, high positive correlations were found between this parameter and sedimentation volume (r = 0.6) and loaf volume (r = 0.53). This low-input and highly repeatable parameter could be useful to estimate dough functionality characteristics. Flavor and texture heritability estimates ranged from 0.16 to 0.37, and the heritability estimate of aroma was not significantly different from zero. However, the sensorial characteristics were significantly correlated with each other, suggesting that we might be able to select indirectly for aroma by selecting for flavor or texture characteristics. From a genome-wide association study (GWAS), we identified six SNPs (single nucleotide polymorphisms) associated with loaf volume that could be useful in breeding for this trait. Producing high-quality strong gluten flour in our high rainfall environment is a challenge, but it provides local growers and end users with a value-added opportunity. [ABSTRACT FROM AUTHOR]

Reducing generation time is critical to achieving the goals of genetic gain in important crops like wheat (Triticum aestivum). Speed breeding (SB) has been shown to considerably reduce generation times in crop plants. Unlike spring wheat cultivars, winter wheat varieties require typically 6–9 weeks of cold treatment, called vernalization, for flowering which extends the generation time for the development of improved winter wheat cultivars. Here, we optimized the SB method using a set of 48 diverse soft red winter wheat (SRWW) cultivars by testing vernalization duration, light and temperature requirements, and the viability of seeds harvested after different durations post‐anthesis under extended daylight conditions. We have found that using a 22‐h setting (22 h day/2 h night, 25°C/22°C) in high‐density 50‐cell trays results in rapid generation advancement. We used genotypic data for a panel of soft red winter wheat varieties from the regional programs to determine the impact of photoperiod and vernalization alleles on the efficiency of the SB approach. Using a set of 48 SRWW cultivars and germplasm from Maryland and four other public breeding programs, we establish that this protocol can allow for the advancement of four generations per year in controlled conditions for winter wheat varieties, experimental lines, or emerging cultivars. Our work shows the potential to reduce generation time by ∼30 days per generation faster than what had been reported in the SB strategies for winter wheat, thus allowing for a quicker turnaround time from original cross to genetically stable experimental genotypes that can be tested in field settings. Core Ideas: The pace of generating improved winter wheat cultivars is enhanced using the speed breeding (SB) approach.Genetic gain is enhanced using the SB approach.The optimization of the SB method for diverse soft red winter wheat cultivars is illustrated. [ABSTRACT FROM AUTHOR]

Kentucky's wheat (Triticum aestivum L.) crop is planted into a rotation in which corn (Zea mays L.) is followed by wheat, which is followed by double‐crop soybean [Glycine max (L.) Merr.]. The causal agent of Fusarium head blight (FHB), Fusarium graminearum Schwabe, overwinters in corn stubble; thus, the Kentucky wheat crop is always at risk for FHB. The preeminent goal of the University of Kentucky wheat breeding program is releasing FHB‐resistant winter wheat cultivars. 'Pembroke 2021' (Reg. no. CV‐1198, PI 701381) is an early‐maturing, semi‐dwarf, soft red winter wheat cultivar developed and released in 2020 by the Kentucky Agricultural Experiment Station for FHB resistance, high yield and test weight potential, and lodging resistance. Pembroke 2021, tested as KY 07C‐1145‐94‐12‐5, was developed from the cross 'IL99‐15867'/B990081//KY97C‐0554‐04‐05. The pedigree of the KY parent is VA94‐54‐549/Roane//Kristy. Pembroke 2021 was named for the Pembroke silt loam soil series prevalent in the main wheat‐producing area of Kentucky. Pembroke 2021 was selected from F4:5 head rows using a modified bulk breeding method; selected rows carried the resistance allele at the following FHB resistance quantitative trait loci: 1B Jamestown, 1A Neuse, 4A Neuse, and 3B Massey. Pembroke 2021 was tested in Kentucky in multi‐location replicated yield trials, the Uniform Eastern Soft Red Winter Wheat Nursery, the Mason‐Dixon nursery, the Uniform Northern Winter Wheat Scab Nursery, and the Kentucky Wheat Variety Trial. Core Ideas: Scab resistance is essential in wheat cultivars grown in Kentucky.Small‐effect scab resistance QTL can be pyramided to confer acceptable resistance.Low deoxynivalenol levels are still the best indicator of effective scab resistance. [ABSTRACT FROM AUTHOR]

Breeding wheat (Triticum aestivum L.) has resulted in small gains in improved nutrient acquisition and use as numerous traits are involved. In this study, we evaluated the impact of breeding on P-acquisition and identified both plant and soil variables that could be used to inform the selection of germplasm with increased P acquisition efficiency. We previously screened a historic panel of winter wheat cultivars for root system architecture and root tip organic acid content when grown in P-deficient solution/agar and used these characteristics together with breeding history to develop a predicted P extraction potential (PEP). We tested the validity of the PEP classification by growing cultivars under sufficient and insufficient soil P conditions. Old, wild-type cultivars had the greatest P utilization efficiency (PUtE) when grown under insufficient P, likely a result of the chemical potential of wild-type (with respect to Rht-B1) cultivars (greater organic acid production) rather than root system size. Wild-type plants had differences in rhizosphere microbial community structure, rhizosphere bicarbonate-extractable P, and bulk soil Fe and Al, indicating the utilization of typically less available P pools. The PEP classification based on the presence of dwarfing allele and era of release offers a path forward for breeding for improved P acquisition. [ABSTRACT FROM AUTHOR]

Wheat is a globally important crop and one of the “big three” US field crops. But unlike the other two (maize and soybean), in the United States its development is commercially unattractive, and so its breeding takes place primarily in public universities. Troublingly, the incentive structures within these universities may be hindering genetic improvement just as climate change is complicating breeding efforts. “Business as usual” in the US public wheat-breeding infrastructure may not sustain productivity increases. To address this concern, we held a multidisciplinary conference in which researchers from 12 US (public) universities and one European university shared the current state of knowledge in their disciplines, aired concerns, and proposed initiatives that could facilitate maintaining genetic improvement of wheat in the face of climate change. We discovered that climate-change- oriented breeding efforts are currently considered too risky and/or costly for most university wheat breeders to undertake, leading to a relative lack of breeding efforts that focus on abiotic stressors such as drought and heat. We hypothesize that this risk/cost burden can be reduced through the development of appropriate germplasm, relevant screening mechanisms, consistent germplasm characterization, and innovative models predicting the performance of germplasm under projected future climate conditions. However, doing so will require coordinated, longer-term, inter-regional efforts to generate phenotype data, and the modification of incentive structures to consistently reward such efforts. [ABSTRACT FROM AUTHOR]

Use of genetic resistance is one of the most important strategies to manage the devastating disease Fusarium head blight (FHB) in wheat. Numerous quantitative trait loci (QTL) having varying effects on reducing FHB and the mycotoxin deoxynivalenol (DON) accumulation have been reported from Asian, European, or distant sources such as wild relatives of wheat (Triticum aestivum L.). However, coming from nonadapted backgrounds, the incorporation of such QTL into regional breeding programs has often resulted in the simultaneous transfer of other undesirable traits. Therefore, it is important to identify, characterize, and deploy sources of genetic resistance that do not suffer from poor adaptability and/or linkage drag. In the present work, QTL associated with FHB resistance in a high‐yielding, moderately resistant soft red winter wheat cultivar 'Jamestown' were mapped and validated. The QTL mapping was done using a recombinant inbred line (RIL) population of Pioneer '25R47' × Jamestown having 186 individuals. Phenotyping over 2 yr at three locations, and genotyping using the 90K single nucleotide polymorphism (SNP) platform identified two new QTL, named QFHB.vt‐1B.1 and QFHB.vt‐1B.2, on the chromosome 1B long arm. The QTL contributed to FHB incidence, FHB severity, Fusarium‐damaged kernels, and DON content. Independent mapping of these QTL using two additional RIL populations of FG95195 × Jamestown (170 RILs) and Jamestown × LA97113UC‐124 (77 RILs) validated their stability and effectiveness in different genetic backgrounds. Kompetitive allele specific polymerase chain reaction (KASP) assays were developed using linked SNPs for marker‐assisted selection of the QTL. These QTL are being used in breeding programs to develop FHB‐resistant, high‐yielding varieties. [ABSTRACT FROM AUTHOR]

Fusarium head blight (FHB) is a destructive disease in wheat (Triticum aestivum) and other small grains. Morphological traits can act as barrier between pathogen and plant and provide a passive form of resistance to disease. The objectives were: (1) to phenotype 250 soft red winter wheat (SRWW) breeding lines and cultivars for morphological traits in 2015–2016; (2) to estimate their correlations with disease resistance; and (3) to identify QTL for morphological traits associated with FHB resistance through genome-wide association study (GWAS). Morphological traits measured were anther extrusion, plant height, peduncle length, spike length (SL), spikelet number (SN), spike density (SD), spike inclination (SI). Agronomic traits included heading date and yield. Disease traits were: FHB-rating, incidence, severity, FHB-index, Fusarium damaged kernels and deoxynivalenol (DON) concentration. There were significant (p < 0.01) differences among genotypes for all morphological traits measured. Moderate heritabilities (0.41–0.66) for spike traits were estimated. Morphological and disease traits were generally negatively correlated; e.g. there was a significant (p < 0.01) negative correlation between spike inclination and DON. GWAS identified 29 significant (p < 0.001) SNPs associated with morphological traits, ranging from − 3.54 to 9.58% of the trait mean. Potential SNPs for yield were located on chromosomes 1B, 3B and 6A. Despite the small effects identified for the SNPs, several morphological traits should be considered for phenotypic and/or genomic selection in FHB resistance breeding programs. [ABSTRACT FROM AUTHOR]

Fusarium head blight (FHB) is an important disease of wheat (Triticum aestivum L.) that has caused billions of dollars in losses in recent decades. Although a massive breeding effort has been undertaken on multiple continents, there are no wheat cultivars with immunity to the disease. Resistance is conditioned by multiple loci and is further complicated by the role of the environment in expression of the disease phenotype. The objectives of our study were (i) to evaluate the phenotypic response to FHB in a large, diverse soft red winter wheat mapping panel; and (ii) to identify promising quantitative trait loci (QTL) associated with FHB resistance based on a genome‐wide association study (GWAS). We evaluated the mapping panel in 2014–2015 and 2015–2016 in an irrigated, inoculated scab nursery near Lexington, KY. Traits evaluated were heading date, plant height, FHB rating, severity, incidence, index, Fusarium‐damaged kernels (FDK), and deoxynivalenol (DON). There were significant (p < 0.05) differences among genotypes for all traits measured. The GWAS (based on 2‐yr entry means) identified 16 significant (p < 0.001) single nucleotide polymorphisms (SNPs) associated with disease traits on multiple chromosomes. Single nucleotide polymorphism association ranged from −2.14 to 4.01% of the mean of a given trait. We detected SNPs associated with FDK and DON on chromosomes 4A, 5B and 6B, and these SNPs decreased DON levels by 1.5, 2.1 and 3.2 mg kg−1, respectively. Our study demonstrated that even small‐effect QTL can potentially decrease disease levels and thus be useful in breeding programs. [ABSTRACT FROM AUTHOR]

The majority of studies evaluating genomic selection (GS) for plant breeding have used single‐trait, single‐site models that ignore genotype × environment interaction (GEI) effects. However, such studies do not accurately reflect the complexities of many applied breeding programs, and previous papers have found that models that incorporate GEI effects and multiple traits can increase the accuracy of genomic estimated breeding values (GEBVs). This study's goal was to test GS methods for prediction in scenarios that simulate early‐generation yield testing by correcting for field spatial variation, and fitting multienvironment and multitrait models on data for 14 traits of varying heritability evaluated in unbalanced designs across four environments. Corrections for spatial variation increased across‐environment trait heritability by 25%, on average, but had little effect on model predictive ability. Results between all models were generally equivalent when predicting the performance of newly introduced genotypes. However, models incorporating GEI information and multiple traits increased prediction accuracy by up to 9.6% for low‐heritability traits when phenotypic data were sparsely collected across environments. The results suggest that GS models using multiple traits and incorporating GEI effects may best be suited to predicting line performance in new environments when phenotypic data have already been collected across a subset of the total testing environments. [ABSTRACT FROM AUTHOR]

Grain yield is a trait of paramount importance in the breeding of all cereals. In wheat (Triticum aestivum L.), yield has steadily increased since the Green Revolution, though the current rate of increase is not forecasted to keep pace with demand due to growing world population and increasing affluence. While several genome-wide association studies (GWAS) on yield and related component traits have been performed in wheat, the previous lack of a reference genome has made comparisons between studies difficult. In this study, a GWAS for yield and yield-related traits was carried out on a population of 322 soft red winter wheat lines across a total of four rain-fed environments in the state of Virginia using single-nucleotide polymorphism (SNP) marker data generated by a genotyping-by-sequencing (GBS) protocol. Two separate mixed linear models were used to identify significant marker-trait associations (MTAs). The first was a single-locus model utilizing a leave-one-chromosome-out approach to estimating kinship. The second was a sub-setting kinship estimation multi-locus method (FarmCPU). The single-locus model identified nine significant MTAs for various yield-related traits, while the FarmCPU model identified 74 significant MTAs. The availability of the wheat reference genome allowed for the description of MTAs in terms of both genetic and physical positions, and enabled more extensive post-GWAS characterization of significant MTAs. The results indicate a number of promising candidate genes contributing to grain yield, including an ortholog of the rice aberrant panicle organization (APO1) protein and a gibberellin oxidase protein (GA2ox-A1) affecting the trait grains per square meter, an ortholog of the Arabidopsis thaliana mother of flowering time and terminal flowering 1 (MFT) gene affecting the trait seeds per square meter, and a B2 heat stress response protein affecting the trait seeds per head. [ABSTRACT FROM AUTHOR]

Breeding for resilience to climate change is a daunting prospect. Crop and climate models tell us that global wheat yields are likely to decline as the climate warms, causing a significant risk to global food security. High temperatures are known to affect crop development yet breeding for tolerance to heat stress is difficult to achieve in field environments. We conducted an active warming study over two years to quantify the effects of heat stress on genetic variation of soft red winter (SRW) wheat (Triticum aestivum L.). Forty SRW cultivars and breeding lines were chosen based on marker genotypes at photoperiod sensitivity and reduced height loci. These genotypes were planted in a randomized complete block design replicated twice across two environments, ambient and artificially warmed. Average heading date occurred 5 days earlier in the warmed environment than in the ambient environment over both years (p ≤ 0.05). On average, grain yield was significantly reduced in the warmed environment by 211.41 kg/ha (p ≤ 0.05) or 4.84%, though we identified 13 genotypes with increased yield in response to warming in both years. Of these genotypes, eight had significantly increased N uptake while six showed significantly increased N utilization efficiency under warming. Under warming, genotypes with wild‐type alleles at the Rht‐D1 locus display significantly greater yields (p ≤ 0.01) and biomass (p ≤ 0.001) than genotypes with reduced height alleles. Of the 13 genotypes with higher (p ≤ 0.01) yields under warming, nine have the wild‐type allele at the Rht‐D1 locus in addition to being photoperiod insensitive. The next steps will be to validate these findings in other populations and to develop an efficient breeding/phenotyping scheme that will lead to more resilient cultivars. Increasing global temperatures will reduce wheat yield and productivity. To identify genetic variation for resilience to warming, we screened a set of diverse wheat genotypes in a warmed and a control environment. On average, grain yield was significantly (p < 0.05) reduced in the warmed environment though we identified genotypes which had higher yields in response to warming in both years. [ABSTRACT FROM AUTHOR]

Within the United States, end-use quality of soft wheat (Triticum aestivum L.) is determined by several genetically controlled components: milling yield, flour particle size, and baking characteristics related to flour water absorption. In 2007 and 2008, we measured the soft wheat quality of 187 soft winter wheat cultivars, released from 1801 to 2005, for the eastern United States. Wheat cultivars were grown in nine eastern United States environments. Quality traits included test weight, flour yield, softness equivalent (an estimator of break flour yield), flour protein concentration, solvent retention capacity (SRC) of flour, and sugar-snap cookie quality. All of the traits had large variance components due to genotype. Flour milling characteristics had the largest ratio of genotype variance to genotype × environment interaction variance. Based on multivariate analysis of the trait correlation structure, breeders should focus on milling yield, flour softness equivalent, and sucrose SRC, as they predict long-flow flour milling performance and have value for commercial milling and baking. These traits also have large genetic variance relative to genotype × environment interactions and represent distinct aspects of quality. Although some improvement in soft wheat milling and baking quality has been observed over the past 200 yr, the dominant effect of selection appears to be a stable standard of quality that is associated with the soft wheat classes of the eastern United States. [ABSTRACT FROM AUTHOR]

Fusarium head blight (FHB) caused by Fusarium graminearum Schwabe causes losses in wheat (Triticum aestivum L.) seed quality and yield. Field studies were conducted in 2000 and 2001 to investigate F. graminearum seed infection (SI) and its relationship to seed germination and vigor and the production of the mycotoxin deoxynivalenol (DON). Seeds from four soft red winter wheat cultivars having different levels of Type II resistance to F. graminearum were harvested at frequent intervals during development and maturity. Low levels of SI occurred late in seed development in 2000, which resulted in high seed quality. In 2001, under heavy disease pressure, F. graminearum increased from <20% at 10 d after anthesis (DAA) to >98% at maturity in both resistant and susceptible cultivars, resulting in unacceptable standard germination (SG) (<80%) and seed vigor [<70% accelerated aging (AA) germination] early in seed development. Although fungicide seed treatment improved the SG of all cultivars, it still remained below acceptable commerdal seed quality (80%). Deoxynivalenol was present at significant levels (5 to 25 mg kg[sup -1]) throughout seed development and maturation in all cultivars in 2001. Although the resistant cultivar P25R18 had reduced levels of DON and lower seed damage compared with susceptible P2552, resistance had no effect on SI and seed quality. Therefore, under severe disease pressure, Type II resistance offers little advantage to seed producers in reducing SI and improving seed quality during severe FHB epidemics. [ABSTRACT FROM AUTHOR]

Soft red winter wheat (SRW) is characterized by high yield and relatively low protein content. In Kentucky, there is growing demand from local artisan bread bakers for regionally produced flour, requiring production of grain with increased protein content and/or strength. The objective of this two-year field experiment was to evaluate the effect of nitrogen (N) management on five cultivars of winter wheat on yield and bread baking quality traits of modern and landrace SRW cultivars (Triticum aestivum L.). All five cultivars were evaluated using two N application rates in conventional and organic production systems. All traits measured were significantly affected by the agricultural production system and N rate, although plant height and other quality traits varied by study year. Significantly higher yields were achieved in the conventional system at a relatively low N rate (67.2 kg ha−1) in both study years (2017–2019) (p < 0.01). Results were variable by cultivar and a locally bred, high-yielding cultivar (Pembroke 2014) had the highest lactic acid solvent retention capacity score and thousand kernel weight of the cultivars evaluated. In addition, a landrace cultivar (Purple Straw) had the highest grain N and plant height. A French soft wheat, Soissons, had the highest sedimentation value and Pembroke 2016 achieved the highest yield. The findings from this study suggest the possibility of attaining a desirable grain with quality traits of SRW wheat that meets the needs of local bread wheat production in Kentucky through improving the optimization of cultivar selection, N management and specific considerations for conventional and organic systems. [ABSTRACT FROM AUTHOR]

Crop losses to weeds can be exacerbated in modern agricultural systems because modern crop cultivars have high population yields but low individual competitiveness. High density cropping systems offer the possibility of effectively suppressing weeds by increasing the initial size-asymmetric advantage of crops over the weeds. We tested this hypothesis in an outdoor mesocosm experiment with two old (Cultivar Heshangtou (HST) and Jinbaoyin (JBY)) and two modern (Xihan2 (XH2) and Xihan3 (XH3)) cultivars of spring wheat (Triticum aestivum L.), grown in a uniform pattern at four sowing densities under high weed pressure. Two annuals (Brassica napus and Linum usitatissimum) were used as model weeds sown at the same density in all treatments. Weed growth decreased and wheat yield increased with increasing crop density for all the cultivars, although yield levelled off at the highest densities. The old cultivars suppressed weeds better than the new cultivars at low density, reflecting the decline in individual competitiveness in modern cultivars. At high crop density, however, the modern XH3 suppressed the weeds as well as the old cultivars, supporting the hypothesis that traits that promote weed suppression are different at low vs. high density. Increasing crop density can be an effective way to suppress weed growth in many agricultural systems, and there is great potential for developing genotypes that can do this and produce high yields much better than the cultivars currently available. [ABSTRACT FROM AUTHOR]

Increases in global mean temperature since 1960 are largely attributed to the rise in minimum nighttime temperatures thereby decreasing diurnal temperature variation. Increased night temperatures are known to affect crop development. A multi-year study investigating the effects of increased night temperatures on soft red winter wheat (Triticum aestivum L.) varieties was conducted during the 2015-2016 growing seasons at the University of Kentucky Spindletop Research Farm in Lexington, KY. Thirty-six cultivars and breeding lines were chosen based on their genotypes at photoperiod and vernalization loci. This material was planted in a randomized complete block experiment with two replications and two environments, control and passively warmed. To create a passively warmed environment, thermal covers were mounted to frames in plots and connected to a datalogger programmed to cover plants from dusk to dawn based on coordinate location. Night temperature increases ranged from 0.27–0.75 °C above ambient temperature. Grain yield, averaged across genotypes, was significantly reduced in the passively warmed environment by 224 kg ha−1 (p ≤ 0.05) or 6.44%; however, yield response to environment varied among genotypes with several genotypes displaying an increased yield in the warmed environment. Yield reductions may reflect reduced nitrogen utilization (9.4%; p ≤ 0.001) under increased night temperatures. [ABSTRACT FROM AUTHOR]

Wheat (Triticum aestivum L.) has a low sulfur (S) requirement compared with other macronutrients, such as nitrogen (N) and potassium (K), and similar to that of magnesium (Mg), phosphorus (P) or calcium (Ca). However, a lack of this nutrient can affect yield and protein concentration and composition, determining the characteristics of the flour. Sulfur deficiency in cropping systems is increasingly reported worldwide, but the effects of S fertilizer are inconsistent among studies depending upon genotype, environment, and management factors. Therefore, our goals were to analyze the results from published studies through a meta-analysis to quantify the effect of S fertilizer on protein concentration and yield of wheat, and to identify environmental, genotypic and management factors behind the response of protein concentration and yield to S fertilizer. This meta-analysis summarizes 22 studies reporting protein concentration, from which 15 also reported yield, most of them published in the 2000's. We calculated the effect size as the natural log of the response ratio, with the response ratio determined as protein concentration (or yield) with S fertilizer application relative to protein concentration (or yield) without S fertilizer application. On average, S fertilizer increased protein concentration by 5.4 % and yield by 16.2 %. Sulfur fertilizer impact on protein concentration and yield increased with the relatively low soil S levels of our dataset (under 7.20 mg S kg-1), under wet weather conditions (above historical precipitation average), no-till practices, or following legumes. Furthermore, ensuring a balanced nutrition by the co-application of N was a determining factor in achieving a response to S fertilizer, which increased with higher N rates. Interestingly, we found a consistent positive response to S fertilizer for yield among all bread-making quality categories, and only a positive response for protein in high and low breadmaking quality, but not in the medium quality category. Overall, this meta-analysis provides an extensive evaluation of protein and yield response to S fertilization in wheat, and how these responses are influenced by genotypic, environmental, and management factors. • S fertilizer increased wheat protein content by 5.4 % and yield by 16.2 %. • Co-application of N fertilizer is needed to get a response to S fertilizer. • The effect of S fertilizer is greater when wheat is grown under no-till and following a legume. • Yield and protein increase can be simultaneously achieved by S fertilizer application. [ABSTRACT FROM AUTHOR]