Browsing by Subject "Wheat"

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Combining remote sensing and crop modeling techniques to derive a nitrogen fertilizer application strategy
(2020) Röll, Georg; Graeff-Hönninger, Simone
The crucial question in this thesis was how can remote sensing data and crop models be used to derive a N fertilizer strategy that is capable to lower the environmental side effects of N fertilizer application. This raised the following detailed objectives: The first objective (i) how N content determination via spectral reflectance is influenced by different leaves and positions on the leaf was investigated in Publication I. Different wheat plants were cultivated under different N levels and under drought stress in two hydroponic greenhouse trials. Spectral reflectance measurements were taken from three leaves and at three positions on the leaf for each plant. In total, 16 vegetation indices broadly used in the literature were calculated based on the spectral reflectance for each combination of leaf and position. The plant N content was determined by lab analyses. Neither the position on the leaf nor leaf number had an impact on the accuracy of plant N determination via spectral reflectance measurements. Therefore measurements taken at the canopy level seem to be a valid approach. However, if other stress symptoms like drought or disease infection occur, a differentiation between leaves and positions on the leaf might play a more crucial role. Publication II dealt with the second objective on (ii), how to incorporate leaf disease into the DSSAT wheat model to enable the simulation of the impact of leaf disease on yield. An integration of sensor information in crop growth models requires the update of model state variables. A model extension was developed by adding a pest damage module to the existing wheat model. The approach was tested on a two-year dataset from Argentina with different wheat cultivars and on a one-year dataset from Germany with different inoculum levels of septoria tritici blotch (STB). After the integration of disease infection, the accuracy of the simulated yield and leaf area index (LAI) was improved. The Root mean squared error (RMSE) values for yield (1144 kg ha−1) and LAI (1.19 m2 m−2) were reduced by half (499 kg ha−1) for yield and LAI (0.69 m2 m−2). A sensitivity analysis also showed a strong responsiveness of the model by the integration of different STB disease infection scenarios. Increasing the modeling accuracy even further a MM approach seems to be suitable. Assembling more models increases the complexity of the simulation and the involved calibration procedure especially if the user is not familiar with all models. To avoid these conflicts, Publication III evaluated the third objective (iii) if an automatic calibration procedure in a MM approach for winter wheat can eliminate the subjectivity factor in model calibration. The model calibration was performed on a 4-yr N wheat fertilizer trial in southwest Germany. The evaluation mean showed satisfying results for the calibration (d-Index 0.93) and evaluation dataset (d-Index 0.81). This lead to the fourth (iv) objective to use a MM approach to improve the overall modeling accuracy. The evaluation of a fertilizer trial showed an improved modeling accuracy in most cases, especially in the drought season 2018. Based on the combination of a MM approach and the incorporation of sensor data, a Nitrogen Application Prescription System (NAPS) was developed. The initial NAPS setup requires long term recorded data (yield, weather, and soil) to ensure proper MM calibration. After calibration, the current growing season conditions are required (weather, management information) until the N application date. Afterward, the NAPS incorporates remote sensing information and generated weather for running future N application scenarios. The selection of the proper amount of N is determined by economic and ecological criteria. Furthermore, in order to account for differences in in-field variabilities and to deliver a N prescription site-specifically, the NAPS concept has to be applied on a geospatial scale by adjusting soil parameters spatially. The NAPS concept has the potential to adjust the N application more economically and ecologically by using current sensor data, historical yield records, and future weather prediction to derive a more precise N application strategy. Finally, this concept exhibits the potential for reconciliation of the issue of an economic, agricultural production without harming the environment.
Deciphering the potential of large-scale proteomics to improve product quality and nutritional value in different wheat species
(2022) Afzal, Muhammad; Longin, Friedrich
Wheat (Triticum aestivum) is one of the most important staple crops globally, which provides on average ~20% of the dietary intake of protein, starch and further important ingredients like fiber, minerals, vitamins, and essential amino acids for humans. Besides common wheat, there exist further wheat species with global to only local importance, i.e., durum, spelt, emmer and einkorn. Common wheat and durum are relatively widely cultivated whereas the other three species are cultivated only in specific regions. Apart from other functions, wheat proteins largely influence the end-use quality of products such as bread and pasta quality. Furthermore, wheat proteins can induce inflammatory reactions in humans such as celiac disease, wheat allergy and non-celiac wheat sensitivity. Thus, proteome profiles of different wheat species and cultivars within these species are of high relevance for stakeholders along the wheat supply chain. Proteomic technology has made breakthrough advancements in the recent times capable of quantifying thousands of proteins in 1.5–2 hours. Also, the wheat reference genome has been published and extended recently. These developments are extremely helpful in studying the wheat proteome at a high resolution. However, the modern large-scale proteomics has yet neither been applied to perform comparative investigation of the proteomes of different wheat species nor to study the proteomes of different types of breads and flours nor to study its application in the context of plant breeding. Therefore, we utilized modern large-scale proteomics to fill these gaps within the framework of this PhD work. First of all, an optimized data analysis pipeline was designed to deal with big proteomics data. This was necessary to estimate a multitude of quantitative genetics parameters for each protein and perform a comparative investigation of the proteomes. Optimization included implementation of data filtering based on the quantification of a protein in a given proportion of the samples, cultivars and environments. Different tests such as test for normal distribution of each protein in the context of statistical modelling and test to check the equality of variance between groups to apply the appropriate t-test were incorporated into a semi-automated workflow. In parallel, we adjusted and improved the lab methodology to deal with hundreds of samples within a short time period. We introduced a novel hybrid liquid chromatography-mass spectrometry (LC-MS) approach that combines quantification concatamer (QconCAT) technology with short microflow LC gradients and data-independent acquisition (DIA). The proposed approach measures the proteome by label-free quantification (LFQ) while concurrently providing accurate QconCAT-based absolute quantification of the key amylase/trypsin inhibitors (ATIs). These methods were then applied to compare different wheat species based on dozens of cultivars grown at multiple locations. First, we compared common wheat and spelt and identified 3,050 proteins overall. Of total proteins, 1,555 proteins in spelt and 1,166 in common wheat were only detected in a subset of the field locations. There were 1,495 and 1,604 proteins in spelt and common wheat, respectively, which were consistently expressed across all test locations in at least one cultivar. Finally, there were 84 and 193 unique proteins for spelt and common wheat, respectively, as well as 396 joint proteins, which were significantly differentially expressed between the two species. Using potentially allergenic proteins – annotated as amylase/trypsin inhibitors, serpins, and wheat germ agglutinin – we calculated an equally weighted “allergen index” that largely varied across cultivars ranging from –13.32 to 10.88 indicating the potential to select for cultivars with favorable proteome profiles. Next, we examined the proteomes of six different flours (wholegrain and superfine flours) and 14 different bread types (yeast and sourdough fermented breads and common wheat breads plus/minus bread improver) from common wheat, spelt and rye. Proteins that could cause allergies were functionally classified and comparatively measured by LFQ in flours and breads. Our findings showed that allergenic proteins were more prevalent in common wheat and spelt than rye and were not specifically degraded during bread manufacturing. In terms of abundance of the allergenic proteins, there was almost no difference between spelt and common wheat and the type of grain is likely more important for allergenicity than milling or traditional fermentation techniques. In a further study, we generated the flour reference proteomes for five wheat species, identifying at least 2,540 proteins in each species. More than 50% of the proteins significantly differed between species. Particularly, einkorn expressed 5.4 and 7.2 times less allergens and amylase/trypsin inhibitors than common wheat, respectively, emerging as a potential alternative cereal crop for people with sensitivities to cereal allergens. Lastly, we studied the application of large-scale proteomics for plant breeding. We found a significant impact of the environmental factors on protein expression. Only a fraction of proteins was stably expressed in all environments in at least one cultivar. Environmental influence was observed not only in the form of absolute expression or suppression of a certain protein at one or more environments but also in the form of low heritability (H2). High coefficients of variation across wheat cultivars indicate that the protein profiles of different cultivars vary considerably. Although, heritability was low for many proteins, we were able to identify hundreds of proteins with H²>0.5 – including key proteins for baking quality and human health. It should be possible to specifically manipulate the expression of functionally important proteins with high heritability by selecting and breeding for superior wheat cultivars along the wheat supply chain. Nevertheless, a successful implementation in plant breeding programs needs an improvement in the speed of protein quantification methods and in the validation of protein functions and annotations. In a nutshell, high number of proteins can be quantified in cereal grains utilizing cutting-edge proteomics techniques, opening new avenues for their use in the wheat supply chain. We generated lists of intriguing candidate proteins for further investigations on wheat sensitivity, and proteins with high heritability and important biological functions. Current research work has significant implications for the scientific and business communities across multiple disciplines including breeding, agriculture, cereal technology, nutritional science, health, and medicine. Political decision-makers and stakeholders in the food supply chain can benefit from the findings of this PhD project.
Differences in yield performance and yield stability between hybrids and inbred lines of wheat, barley, and triticale
(2015) Mühleisen, Jonathan; Reif, Jochen Christoph
Hybrids of wheat, barley, and triticale are expected to possess higher yield performance and yield stability compared to inbred lines. Assessment of yield performance as well as yield stability requires the evaluation of genotypes in plot-based yield trials across multiple environments. Evaluation of genotypes under stress conditions can be associated with increased field heterogeneity, which may result in imprecise estimates of genotypic values. The assessment of yield stability requires intensive testing in many environments, and it would be interesting to know how many test environments are required to reliably estimate yield stability. The key objectives of the present thesis were to (1) investigate optimal strategies to analyze field trials with high error variance due to spatially varying drought stress, (2) identify the required number of test environments to precisely estimate yield stability of individual barley genotypes, and (3) examine yield performance and yield stability of wheat, barley, and triticale hybrids and lines. Drought stress at two locations of a winter triticale trial caused increased field heterogeneity, resulting in lower heritabilities compared to the four non-stress locations. It was found that heritability could be increased by modeling incomplete block and row effects, by using visual scorings of drought stress intensity as covariates in an analysis of covariance, and by modeling a spatial covariance between adjacent plots. The most suitable model can be identified using the Akaike Information Criterion. In addition, it has to be ensured that the covariate is independent from genotypic effects and that it is linearly related with the response variable. Dynamic yield stability of genotypes was frequently found to depend strongly on the specific set of test environments. When the genotypes were evaluated in different environments, e.g. in the following year, the ranking in yield stability could be different. This would result in a low heritability. Theoretical assumptions and empirical studies showed that heritability can be increased when the number of test environments is increased. Five series of barley registration trials with a reduced number of 16 to 27 genotypes evaluated in 39 to 45 environments were used to investigate the relationship between magnitude of heritability of yield stability and number of test environments. Based on a cross-validation approach, it was found, that at least 40 test environments should be used to obtain a heritability of 0.5. Magnitude of heritability, however, varied strongly within and between series. Therefore, depending on the respective set of environments and genotypes, more or less test environments can be needed. Yield performance of wheat hybrids produced using chemical hybridizing agents (CHA) or cytoplasmic male sterility (CMS) was well investigated in other studies reporting around 10% midparent heterosis for grain yield. In the present thesis, CMS-based barley hybrids were compared with parental inbred lines and unrelated commercial inbred lines in breeding and registration trials. Midparent heterosis was around 10%. The comparison with commercial inbred lines in the registration trials revealed that hybrids could compete with and partially surpass outstanding inbred lines. Triticale hybrids, produced using CMS, were evaluated for grain yield at up to 20 environments with their parents and commercial inbred lines. Midparent heterosis amounted to 3% and no hybrid outyielded the best inbred line. The low yield performance of triticale hybrids is probably associated with CMS-system, since CHA-based triticale hybrids showed a midparent heterosis around 10% in early studies, which is comparable to the midparent heterosis found in wheat and barley. Yield stability of CHA-based wheat as well as CMS-based hybrids of barley and triticale was compared with yield stability of parental and commercial inbred lines on group level. The wheat and barley hybrids showed on average significantly higher dynamic yield stability compared to inbred lines, but the triticale hybrids did not. In the barley registration trials, hybrids had the highest dynamic yield stability on average. The CMS-based triticale hybrids, however, showed on average significantly lower dynamic yield stability as their female parents and the commercial inbred lines across 20 environments. In conclusion, hybrids of wheat and barley possessed an increased yield potential as well as an enhanced dynamic yield stability. In contrast, the CMS-based triticale hybrids showed only marginal yield advantages coupled with low dynamic yield stability. Further research is required to increase economical competitiveness of hybrids in all three crops, to identify and eliminate the reasons for poor performance of CMS-based triticale hybrids and to investigate the suitability of dynamic yield stability measures to identify vigorous and stress tolerant genotypes.
Einfluss verschiedener Getreidearten und Herstellungsverfahren auf den Gehalt immunogener Substanzen in Brot sowie in vivo auf die Verträglichkeit an der Maus und im Menschen
(2022) Zimmermann, Julia; Bischoff, Stephan C.
There are three medical conditions that are triggered by consumption of cereals. Celiac disease, wheat allergy and non-celiac wheat sensitivity (NCWS). While the underlying triggers and mechanisms of the first two entities have been extensively studied, there is still uncertainty in this regard for NCWS. Symptoms are nonspecific and diagnostic markers are lacking. Besides bacterial fermentable carbohydrates (FODMAPs), selected cereal proteins such as gluten or α-amylase trypsin inhibitors (ATIs) are in the focus of research as triggers. The aim of the present work was firstly to investigate the influence of the choice of cereal (common wheat, spelt, rye) and the production of bread (degree of milling and choice between yeast and sourdough) on the presence of potentially immunogenic proteins based on proteomic analysis. In a second step, the tolerability of selected breads should be investigated in a transgenic mouse model with intestinal inflammation and in a human study in patients with NCWS and subjective spelt tolerance. This was to narrow down possible triggers of NCWS and to investigate underlying mechanisms. Within the project, protein composition of bread and flour samples was analyzed based on a quantitative proteomics method (nano-UHPLC-ESI-MS based). In addition, a list of known and potentially immunogenic cereal proteins was generated based on Pfam annotation, which was used for the analysis of allergens in flour and bread. This showed that neither the absolute number nor the abundance of these allergenic proteins were dependent on the degree of milling of the flour or the fermentation process of the dough, which means that they are not selectively degraded during bread production. However, such proteins were identified in higher numbers and higher relative amounts in spelt and wheat samples compared to rye samples. Furthermore, different bread types from the proteome analysis were investigated in a mouse model with intestinal inflammation. This did not demonstrate better tolerability of rye bread compared to spelt and wheat bread. Instead, there was a trend for sourdough bread to have less negative effects on intestinal inflammation compared to yeast dough bread. It also turned out that inflammation was increased independently of gluten. No differences were found between wheat and spelt in either the proteomic analysis or the animal studies in this project. However, in a subgroup of NCWS patients, spelt bread is subjectively better tolerated than wheat bread, which could be due to both genetics and the different production of wheat and spelt bread. In order to verify the phenomenon and identify underlying mechanisms, if any, a clinical study was conducted in patients of this subgroup. The aim of the blinded study was to investigate whether spelt bread is actually better tolerated than wheat bread and whether the production process (16h dough or 1h dough + baking agent) has an influence. After each bread (4 days each + 3 days washout), gastrointestinal symptoms were assessed using the Irritable Bowel Syndrome Severity Scoring System (IBS-SSS) questionnaire. Extraintestinal symptoms and various blood and stool parameters were also analyzed. It was found that spelt bread was not better tolerated compared to wheat bread after blinded consumption and that FODMAP-rich bread was not worse tolerated compared to FODMAP-poor bread.
The functional diversity of the high-affinity nitrate transporter gene family in hexaploid wheat: Insights from distinct expression profiles
(2023) Sigalas, Petros P.; Buchner, Peter; Kröper, Alex; Hawkesford, Malcolm J.
High-affinity nitrate transporters (NRT) are key components for nitrogen (N) acquisition and distribution within plants. However, insights on these transporters in wheat are scarce. This study presents a comprehensive analysis of the NRT2 and NRT3 gene families, where the aim is to shed light on their functionality and to evaluate their responses to N availability. A total of 53 NRT2s and 11 NRT3s were identified in the bread wheat genome, and these were grouped into different clades and homoeologous subgroups. The transcriptional dynamics of the identified NRT2 and NRT3 genes, in response to N starvation and nitrate resupply, were examined by RT-qPCR in the roots and shoots of hydroponically grown wheat plants through a time course experiment. Additionally, the spatial expression patterns of these genes were explored within the plant. The NRT2s of clade 1, TaNRT2.1-2.6, showed a root-specific expression and significant upregulation in response to N starvation, thus emphasizing a role in N acquisition. However, most of the clade 2 NRT2s displayed reduced expression under N-starved conditions. Nitrate resupply after N starvation revealed rapid responsiveness in TaNRT2.1-2.6, while clade 2 genes exhibited gradual induction, primarily in the roots. TaNRT2.18 was highly expressed in above-ground tissues and exhibited distinct nitrate-related response patterns for roots and shoots. The TaNRT3 gene expression closely paralleled the profiles of TaNRT2.1-2.6 in response to nitrate induction. These findings enhance the understanding of NRT2 and NRT3 involvement in nitrogen uptake and utilization, and they could have practical implications for improving nitrogen use efficiency. The study also recommends a standardized nomenclature for wheat NRT2 genes, thereby addressing prior naming inconsistencies.
Genetic architecture of quality traits in wheat
(2021) Rapp, Matthias; Longin, Friedrich
Quality traits in wheat are of great importance, as they are required for the production of a wide range of food products. In Europe, bread wheat (Triticum aestivum ssp. aestivum) for human consumption is primarily used in pastries. For durum wheat (Triticum turgidum ssp. durum) that is used almost exclusively for pasta production, quality traits are at least as important as in bread wheat. In Central Europe, the bread wheat subspecies spelt (Triticum aestivum ssp. spelta) is characterized by a different quality compared to bread wheat. In addition, it is produced for a niche market with a particular focus on the final product quality. The high number of demanded quality traits of a wheat variety represents a great challenge for wheat breeders. Thus, knowledge about the genetic architecture and interrelation of quality traits is of high value for wheat breeding. Due to the long list of quality traits in wheat, we focused on currently important quality traits in each of the three wheat species. In durum wheat, I was interested in traits with a high importance for durum millers and pasta producers. The protein content and the sedimentation volume are of high importance for pasta producers as they influence the firmness of cooked pasta, better known as “al dente”. A low falling number may lead to brown instead of light yellow pasta, which goes back to an increased maillard reaction during pasta production and drying. The vitreousity, representing the glassy appearance of durum grains, and the thousand kernel mass influence the semolina yield and are therefore of great interest for durum millers. In the genome-wide association mapping, I identified several putative QTL for these quality traits. For the sedimentation volume, a genomic region on chromosome 1B appeared to be important. A BLAST search against the reference genomes of emmer and bread wheat revealed the Glu-B3 gene as a likely candidate. For vitreousity, genomic regions on chromosome 7A explained a larger proportion of the genotypic variance. One of these QTL, possibly related to the Pinb-2 locus, also slightly influenced the protein content. Thus, this genomic region might be a genomic reason for the positive correlation between vitreousity and protein content. For TKM we detected a putative QTL, which explained a large proportion of the genetic variance, but could not be attributed to a known gene. Besides a good performance for quality traits, a modern durum wheat variety should be complemented by a good agronomic performance, in particular a high grain yield. This poses a great challenge for plant breeders, since grain yield and protein content are negatively correlated. With regard to simultaneously improving grain yield and protein content, the protein yield or the grain protein deviation (GPD) were proposed. We evaluated those and further selection indices for their potential to be utilized for the simultaneous improvement of grain yield and protein content. Our results indicated that a simultaneous improvement of the two traits grain yield and protein content by means of an index seems possible. However, its efficiency largely depends on the weighting of the single traits. The selection for a high GPD would mainly increase the protein content whereas a selection based on protein yield would mainly improve the grain yield. Nevertheless, a combination of different indices allows balancing this selection. Compared to the primary traits grain yield and protein content, the selection indices did not essentially differ in the complexity of their genetic architecture. In bread wheat, we focused on the acrylamide precursor asparagine. Acrylamide is formed in potentially harmful concentrations when cereals are treated with high temperatures over a long period during the processing to food products. A promising strategy to reduce the acrylamide formation would be to decrease the precursors in the raw material. The wide range of variation for asparagine content showed that variety selection might have a large influence on the occurrence of acrylamide in the final product. In addition, the moderately high heritability suggested that successful breeding for lower asparagine content is possible. This conclusion is supported by the observation of no strong negative correlations between asparagine content and a number of other important traits. The genome-wide association mapping resulted in the detection of eight putative QTL, which jointly explained 78.5% of the genetic variance. A putative QTL on chromosome 7B explained with, 18.4%, the highest proportion of the genetic variance for a single marker. For spelt wheat, we assessed a high number of quality traits but placed a special emphasis on the flavor and odor of bread produced from 30 different varieties. Interestingly, we observed a significant genetic variation for bread flavor and a heritability estimate of moderate magnitude. This suggests that even for bread flavor a successful selection appears possible. Taken together, for most traits the genome-wide association mapping resulted in the detection of a high number of putative QTL. This indicates a complex genetic architecture, typical for predominantly quantitatively inherited traits. However, few of the putative QTL explained a large proportion of the genetic variance, so that they might have the potential to be used in marker-assisted selection. In order to examine the potential of genomic selection, I performed a five-fold cross validation for the different quality traits. I could confirm previous findings that the integration of QTL information as fixed effects in the genomic prediction model increased the prediction abilities considerably. The average prediction abilities for most traits suggested a high potential for genomic selection in breeding programs. In conclusion or results form a good basis for further research but more importantly already deliver valuable knowledge that can be used as guideline to advance wheat breeding programs for improved quality.
Genetics of resistance to ear diseases and mycotoxin accumulation in the pathosystems maize/Fusarium and wheat/Fusarium
(2010) Messerschmidt, Martin; Miedaner, Thomas
Infection of ears of maize with Fusarium graminearum (FG) reduces yield and, more important, contaminate the harvest with mycotoxins. F. verticillioides (FV) is an economically important cause of ear rot. Among other mycotoxins, FV produces the fumonisins (FUM) and FG produces deoxynivalenol (DON) and zearalenone (ZEA). All three mycotoxins are harmful to humans and animals. Therefore, the European Union released legally enforceable limits. One alternative to reduce ear rot severity and mycotoxin concentrations is breeding and growing varieties resistant to Fusarium infections. However, few is known about breeding parameters for resistance to Fusarium infections and mycotoxin accumulation in European maize breeding material. The main objective of this thesis was to draw conclusions for breeding of resistance to ear rot and mycotoxin accumulation with special attention on three European maize maturity groups. We investigated methodical aspects like (1) the comparison of natural and artificial inoculation to evaluate ear rot resistance and (2) the necessity of separate testing of FV and FG. Furthermore, quantitative-genetic parameters like heritabilities and correlations were estimated to draw conclusions about (3a) genetic variation in line and testcross performance and the relationships (3b) between ear rot severity and mycotoxin concentrations in lines and testcrosses and (3c) between line and testcross performance. Three maturity groups (early, mid-late, late) each comprising about 150 maize inbred lines were evaluated for ear rot resistance to FV. The same genotypes of the early maturity group were additionally evaluated for resistance to FG in separate, but adjacent trials. Field evaluation was conducted in two to six environments with silk channel inoculation and natural infection, respectively. In the late maturity group kernel inoculation was conducted additionally. Out of the 150 lines, 50 to 60 lines per maturity group were crossed with two unrelated testers of the opposite heterotic group. The concentrations of toxins FUM, DON and ZEA of the chosen lines and their testcrosses were analyzed by immunotests. Despite significant genotypic differences among the inbred lines after inoculation or natural infections, inoculation was found to be superior due to easier visual differentiation and increased accuracy. Therefore, inoculation should be conducted. In the late maturity group silk channel inoculation (simulating infection over the silks) and kernel inoculation (simulating secondary infection after wounding) were appropriate since both caused similar ear rot severity. However, both inoculation methods should be tested separately due to only moderate correlations between them. In the early maturity group resistance to FG or FV should be tested separately due to moderate correlations. Significant genotypic variances in large sets and subsets of lines and also in testcrosses revealed that there is genetic variation in all maturity groups and also within heterotic groups. In the flint group less lines were resistant to FV and FG than in dents indicating that resistance needs improvement, i.e. by introgression of resistance alleles followed by recurrent selection. Significant genotype x environment interactions may complicate selection and, therefore, multi-environmental trials are required for an accurate selection. High genotypic correlations between ear rot rating and mycotoxin concentrations were found among lines and testcrosses. The cost efficient indirect selection for mycotoxin concentrations based on ear rot rating could increase response to selection by testing more genotypes and/or in more test environments assuming a fixed budget. This should increase selection intensity and/or heritability. Moderate genotypic correlations between line and testcross performance were. One moderately to highly susceptible tester is sufficient due to high genotypic correlations between testcrosses of different testers. Both indicates a mainly additive gene action, but also non-additive gene action may play a role in some crosses. Selection for testcross performance based on line performance was less effective when calculating relative efficiencies. Different scenarios have been identified: (1) In Central Europe mainly resistance to ear rot in lines needs to be tested to ensure high seed quality, whereas resistance in testcrosses is not important due to low natural infection. (2) In Southern Europe, where high natural infections occur regularly, parallel selection for resistance to ear rot in lines and testcrosses is important. One susceptible tester should be used for creation of testcrosses. For selection in lines all parental lines should be inoculated but only lines selected out of testcrosses for agronomic traits would be rated afterwards saving resources. This is feasible due to later harvest date of lines than of testcrosses.
Genetische und physiologische Einflußfaktoren sowie deren Wechselwirkungen auf die Trichothecenbildung bei Roggen, Triticale und Weizen nach Inokulation mit Fusarium culmorum (W. G. Sm.) Sacc.
(2002) Reinbrecht, Carsten; Geiger, Hartwig H.
Fusarium culmorum causes specific hazards of cereal quality by the producion of trichothecenes. Prophylaxis by plant breeding can be highly effective. The aim of this study was to investigate the accumulation of trichothecenes in cereals with regard to host and fungal genotype, to physiological factors and the resulting interactions. To determine the effects of 6 environments (E), 2 inoculation dates (ID), 2 fungal isolates (I), and 5 conidia concentrations (C) and their interactions, field trials with up to 12 rye, 6 triticale, and 8 wheat genotypes (G) were conducted in 1995-1997. Kinetics of trichothecene in the heads were described with 6 harvest dates (H) in 2 host genotypes each. In a growth chamber, 2 levels of temperature (T) and 2 of relative humidity (R) were investigated by using 2 host genotypes each. Average deoxynivalenol (DON) accumulation of rye, triticale, and wheat was 41, 46, and 82 mg kg-1, respectively. Genotypes differed significantly in rye and wheat. In all cereal species, GxE interactions were important. In wheat, DON content was highly correlated to all resistance traits, whereas in rye only a tight correlation existed to the relative specific grain weight. In triticale and wheat, inoculation at full anthesis resulted in higher DON contents than inoculation at heading. In rye, no effect of inoculation date was found. In contrast, GxID interaction was significant in rye. The nivalenol (NIV) producing isolate led to lower trichothecene contents than the DON producing isolate. This effect was found to be significant only in rye and triticale. Significant GxI interactions occurred in wheat only. Even one week after inoculation, considerable DON concentrations could be obtained in harvested heads, especially in wheat. Maximum DON contents were observed between 3 and 6 weeks after inoculation (in wheat: partially above 300 mg kg-1). NIV contents were always lower than DON contents. Until full ripening, DON contents slightly decreased, whereas NIV contents increased continuously. HxE and HxI interactions were most important. Trichothecene content in chaff and spindles was 2-4 fold higher than in the respective kernels at 6 and 8 weeks after inoculation. With higher conidia concentrations, increasing contents of DON+3-Acetyl-DON were measured. GxC interactions were highly significant. Highest heritabilities were found in the upper concentration levels. When the relative humidity was high, trichothecene concentrations of kernels were superior. With the temperature, an inverse effect was obtained. It seems that GxT interaction contributed most to GxE in rye and wheat, in triticale also the GxR interaction. In conclusion, assisting resistance traits may replace an expensive quantification of trichothecenes in early generations. In advanced generations, tests should be conducted in several environments with high conidia concentrations, and a toxin analysis should be carried out directly.
Impacts of temperature increase and change in precipitation pattern on ecophysiology, biomass allocation and yield quality of selected crops
(2023) Drebenstedt, Ireen; Högy, Petra
Climate change poses a challenge for the production of crops in the twenty-first century due to alterations in environmental conditions. In Central Europe, temperature will be increased and precipitation pattern will be altered, thereby influencing soil moisture content, physiological plant processes and crop development in agricultural areas, with impacts on crop yield and the chemical composition of seeds. Warming and drought often occur simultaneously. The combination of multiple abiotic stresses can be synergistic, leading to additive negative effects on crop productivity. To date, little information is available from multi-factor experiments analyzing interactive effects of warming and reduced precipitation in an arable field. In addition, one major issue of studying climate change effects on crop development in the long-term is that weather conditions can vary strongly between years, e.g., with hot and dry summers in comparison to cool and wet ones, which directly affects soil moisture content and indirectly affects crop development. Thus, considering yearly weather conditions seems to be important for the analyses of climate change effects on aboveground biomass and harvestable yield of crops. The aim of the present work was to identify single and combined effects of soil warming (+2.5 °C), reduced summer precipitation amount (-25%), and precipitation frequency (-50%) on crop development, ecophysiology, aboveground biomass and yield as well as on yield quality of wheat, barley, and oilseed rape grown in the Hohenheim Climate Change (HoCC) field experiment. This thesis presents novel results from the HoCC experiment in the long-term perspective. Thus, aboveground biomass and yield data (2009-2018) of the three crops were analyzed with regard to their inter-annual variability, including annual fluctuations in weather conditions.This thesis consists of three publications. In the first and second publication a field experiment within the scope of the HoCC experiment was conducted with spring barley (Hordeum vulgare L. cv. RGT Planet) and winter oilseed rape (Brassica napus L. cv. Mercedes) in 2016 and 2017. The objective was to investigate the impacts of soil warming, altered precipitation pattern and their interactions on biomass production and crop yield. In addition, it was examined, whether the simulated climate changes affecting barley photosynthesis and the seed quality compounds of oilseed rape. In the third publication, long-term plant productivity data of wheat, barley, and oilseed rape were evaluated, including aboveground biomass and yield data from the field experiment in 2018 with winter wheat (Triticum aestivum L. cv. Rebell).
The importance of Fusarium head blight resistance in the cereal breeding industry: Case studies from Germany and Austria
(2023) Miedaner, Thomas; Flamm, Clemens; Oberforster, Michael
Fusarium head blight (FHB) resistance in wheat and triticale has a high priority in the European Union because of the strict guidelines for the major mycotoxins deoxynivalenol (DON) and zearalenone (ZON) and the admission policy of the regulatory authorities. Potentially 70% of the arable land in Germany and about 60% in Austria can be affected by Fusarium. Although epidemics occur only in some years and/or some regions, DON and ZON are detected every year in varying amounts in wheat, rye and maize. Despite a high significance of FHB resistance in breeding companies, as validated by a recent survey, breeding progress in wheat is basically absent for FHB resistance in both countries. The main reasons are the complex inheritance of FHB resistance and the high proportions of the dwarfing allele Rht‐D1b in high‐yielding varieties promoting susceptibility. Despite this, some varieties with high FHB resistance (score 2–3 on the 1–9 scale) have been released that account, however, only for 11% and 18% of the multiplication area in Germany and Austria, respectively. For triticale, an official testing system for FHB resistance in terms of DON content exists in Germany and Austria, but not for the other cereals. Susceptibility to maize ear rot has been described in Austria, but not in Germany. Additionally, a testing system for stalk rot resistance in both countries should be established.
Improving host resistance to Fusarium head blight in wheat (Triticum aestivum L.) and Gibberella ear rot in maize (Zea mays L.)
(2023) Akohoue, Félicien; Miedaner, Thomas
Fusarium head blight (FHB) in wheat and Fusarium (FER) and Gibberella ear rot (GER) in maize are major cereal diseases which reduce yield and contaminate kernels with several mycotoxins. In Europe, these diseases contribute to significant yield gaps and high mycotoxin risks across countries. However, existing management strategies related to agronomic practices are not fully effective, with some of them being cost-prohibitive. Enhancing host plant resistance is additionally required for managing the diseases more effectively and sustainably. Unfortunately, breeding for FHB resistance is challenged by complex interactions with morphological traits and the quantitative nature of the trait. In maize, available genetic resources have not been fully exploited to improve GER resistance in elite materials. In this work, we elucidated the complex interactions between FHB resistance and morphological traits, like plant height (PH) and anther retention (AR) in wheat. The effect of reduced height (Rht) gene Rht24 on AR and the contribution of genomic background (GB) to FHB resistance in semi-dwarf genotypes were also assessed. GB refers to all genomic loci, except major Rht genes, that affect the traits. To achieve this, 401 winter wheat cultivars were evaluated across five environments (location × year combination). All cultivars were genotyped using Illumina 25 K Infinium single-nucleotide polymorphism array. We performed correlation and path coefficient analysis, and combined single and multi-trait genome-wide association studies (GWAS). Our findings revealed significant genotypic correlations and path effects between FHB severity with PH and AR, which were controlled by several pleiotropic loci. FHB severity and PH shared both negatively and positively acting pleiotropic loci, while only positively acting pleiotropic loci were detected between FHB severity and AR. Rht-D1 is a major pleiotropic gene which exerted a negative effect on FHB resistance. These pleiotropic loci contribute to our understanding of the complex genetic basis of FHB resistance, and their exploitation can help to simultaneously select for FHB resistance with PH and AR. Contrary to Rht-D1b, Rht24b had no negative effect on FHB resistance and AR. This exhibits Rht24 as an important FHB-neutral Rht gene which can be integrated into breeding programs. Genomic estimated breeding values (GEBV) were calculated for each cultivar to assess GB. We observed highly negative GEBV for FHB severity within resistant wheat cultivars. Susceptible cultivars exhibited positive GEBV. Genomic prediction has a great potential and can be exploited by selecting for semi-dwarf winter wheat genotypes with higher FHB resistance due to their genomic background resistance. To tackle maize ear rot diseases, refined and stable quantitative trait loci (QTL) harboring candidate genes conferring resistances to FER and GER were identified. The effectiveness of introgression of two European flint landraces, namely “Kemater Gelb Landmais” (KE) and “Petkuser Ferdinand Rot” (PE) was evaluated. The prediction accuracy of using line performance as a predictor of hybrid performance for GER resistance was also evaluated within the two landraces. We applied a meta-QTL (MQTL) analysis based on 15 diverse SNP-based QTL mapping studies and performed gene expression analysis using published RNA-seq data on GER resistance. In total, 40 MQTL were identified, of which 14 most refined MQTL harbored promising candidate genes for use in breeding programs for improving FER and GER resistances. 28 MQTL were common to both FER and GER, with most of them being shared between silk (channel) and kernel resistances. This highlights the co-inheritance of FER and GER resistances as well as types of active resistance. Resistance genes can be transferred into elite cultivars by integrating refined MQTL into genomics-assisted breeding strategies. Afterwards, four GER resistant doubled haploid (DH) lines from both KE and PE landraces were crossed with two susceptible elite lines to generate six bi-parental populations with a total of 534 DH lines which were evaluated for GER resistance. GER severity within the six landrace-derived populations were reduced by 39−61% compared to the susceptible elite lines. Moderate to high genetic advance was observed within each population, and the use of KE landrace as a donor was generally more effective than PE landrace. This shows promise in enhancing resistance to GER in elite materials using the European flint landraces as donors. Furthermore, per se performance of 76 DH lines from both landraces was used to predict GER resistance of their corresponding testcrosses (TC). Moderate phenotypic and genomic prediction accuracy between TC and line per se performance was found for GER resistance. This implies that pre-selecting lines for GER resistance is feasible; however, TC should be additionally tested on a later selection stage to aim for GER-resistant hybrid cultivars.
Multiomics based association mapping in wheat reveals genetic architecture of quality and allergenic related proteins
(2023) El Hassouni, Khaoula; Afzal, Muhammad; Steige, Kim A.; Sielaff, Malte; Curella, Valentina; Neerukonda, Manjusha; Tenzer, Stefan; Schuppan, Detlef; Longin, Carl Friedrich Horst; Thorwarth, Patrick
Wheat is an important staple crop since its proteins contribute to human and animal nutrition and are important for its end-use quality. However, wheat proteins can also cause adverse human reactions for a large number of people. We performed a genome wide association study (GWAS) on 114 proteins quantified by LC-MS-based proteomics and expressed in an environmentally stable manner in 148 wheat cultivars with a heritability > 0.6. For 54 proteins, we detected quantitative trait loci (QTL) that exceeded the Bonferroni-corrected significance threshold and explained 17.3–84.5% of the genotypic variance. Proteins in the same family often clustered at a very close chromosomal position or the potential homeolog. Major QTLs were found for four well-known glutenin and gliadin subunits, and the QTL segregation pattern in the protein encoding the high molecular weight glutenin subunit Dx5 could be confirmed by SDS gel-electrophoresis. For nine potential allergenic proteins, large QTLs could be identified, and their measured allele frequencies open the possibility to select for low protein abundance by markers as long as their relevance for human health has been conclusively demonstrated. A potential allergen was introduced in the beginning of 1980s that may be linked to the cluster of resistance genes introgressed on chromosome 2AS from Triticum ventricosum. The reported sequence information for the 54 major QTLs can be used to design efficient markers for future wheat breeding.
No difference in tolerance between wheat and spelt bread in patients with suspected non-celiac wheat sensitivity
(2022) Zimmermann, Julia; Longin, Friedrich H.; Schweinlin, Anna; Basrai, Maryam; Bischoff, Stephan C.
Individuals with suspected non-celiac wheat sensitivity (NCWS) often report better tolerance of spelt (Triticum aestivum ssp. spelta) compared to wheat (Triticum aestivum ssp. aestivum) bakery products. This experience has neither been validated nor explained on a molecular level. Therefore, we performed blinded wheat and spelt bread challenge in this patient group. Twenty-four adults with a history of NCWS but suspected spelt tolerance were challenged in a single-blinded crossover design over six weeks with six different study breads each at 300 g per day for 4 days followed by a washout phase of 3 days. Study breads comprised spelt and wheat breads made either after a traditional (T) or a current (C) recipe, resulting in four bread types plus a gluten-free bread with 1.5% added oligosaccharides (+FODMAP) and a gluten-free bread with 5% added wheat gluten (+Gluten). The main outcome parameter was the Irritable Bowel Syndrome—Severity Scoring System, which was higher than self-estimated by the participants after spelt bread consumption (p = 0.002 for T; p = 0.028 for C) and lower for wheat bread (p = 0.052 for T; p = 0.007 for C), resulting in no difference between wheat and spelt bread tolerance. The +FODMAP bread was better tolerated than both T breads (p = 0.003 for spelt; p = 0.068 for wheat) and equally well tolerated as both C breads and +Gluten breads after normalization to the washout scores. Neither signs of inflammation nor markers for intestinal barrier integrity were influenced. Our data do not confirm, on an objective basis, the differences in expected symptoms resulting from wheat and spelt products, suggesting a strong nocebo effect for wheat and a placebo effect for spelt.
Phenotypic and genotypic assessment of traits with relevance for hybrid breeding in European winter wheat
(2015) Langer, Simon Martin; Würschum, Tobias
Hybrid breeding in wheat has recently received increased interest, especially in Europe, and large public and private projects investigating hybrid wheat breeding have been launched. Hybrid breeding has been a great success story for allogamous crops and is seen as a promising approach to increase the yield potential in wheat. Wheat covers more of the world’s surface than any other food crop and is the second main staple crop for human consumption. It can be produced under widely varying conditions and is grown all around the globe, yet, yield gain has declined and is lagging behind the needs of the constantly growing human population. Future challenges in wheat breeding such as the establishment of hybrid varieties and the adaptation of breeding germplasm to increasing stresses caused by climatic changes also in Europe require knowledge-based improvements of relevant traits and phenotyping approaches suited for applied high-throughput plant breeding. A major limitation for the establishment and the production of hybrid wheat is the lack of a cost-efficient hybrid seed production system. This requires the generation of parental ideotypes which maximize the cross-fertilization capability. Male parents should have an extended time of flowering, extrude anthers and widely shed large amounts of viable pollen. Females need increased receptivity for male pollen by opening the glumes and extruding stigmatic hair. Furthermore, male plants should be taller than females and a synchronized timing of flowering between the two parents is also of utmost importance. Employing a set of European elite winter wheat lines, we developed and evaluated phenotyping methods for important floral and flowering traits with relevance for improved cross-pollination (Publication I). We observed high heritabilities for important traits such as ‘pollen mass’ (h2=0.72) and ‘anther extrusion’ (h2=0.91). In addition, genotypic variances were significant which warrants further breeding success. Positive correlations were found among important flowering and floral characteristics which enables the improvement of outcrossing by indirect selection. ‘Pollen mass’ for example, was associated with ‘anther extrusion’, ‘anther length’ and ‘plant height’. Our findings suggest the utility of the developed phenotyping approaches for applied plant breeding and the potential of the traits to assist in the design of the male ideotype for increased cross-fertilization. We investigated the genetic architecture of flowering time and plant height (Publication II and III). A panel of 410 European winter wheat varieties was genotyped by a genotyping-by-sequencing approach and in addition, analyzed for the effects of specific candidate genes. The major factor affecting flowering time was the photoperiod regulator Ppd-D1 (58.2% of explained genotypic variance) followed by Ppd-B1 copy number variation (3.2%). For plant height, the two candidate loci Rht-D1 (37.0%) and Rht-B1 (14.0%) had the largest effects on the trait but contrary to reports in the literature did not contribute to flowering time control. In addition, we identified several small effect QTL and epistatic QTL responsible for fine-adjustments of these two traits. Population structure and genetic relatedness in European elite wheat lines was assessed using different types of markers (Publication IV). Results for relatedness differed for the marker types but consistently showed the absence of a major population structure. Regarding the large wheat genome our results revealed that a high number of markers is necessary as there are regions with only low coverage. Concordantly, we were not able to identify the major flowering locus Ppd-D1 without targeted candidate gene analysis. Observations on the findings on population structure could be confirmed in Publication II and III and in addition, the geographical distribution of important flowering time and plant height genes displayed the historical development of wheat breeding in Europe. This information on genetic relatedness among lines can also be employed to assist the establishment of hybrid wheat.
Prospects of genomic selection for disease resistances in winter wheat (Triticum aestivum L.)
(2019) Grote, Cathérine Pauline; Miedaner, Thomas
Die Ziele dieser Arbeit waren (i) die erstmalige Evaluierung des Effekts des Zwerggens Rht24 auf FHB- und STB-Resistenzen, Wuchshöhe und Ährenschieben im Vergleich zum weit genutzten Locus Rht-D1, (ii) die Untersuchung des Potenzials der nichtadaptierten QTL Fhb1 und Fhb5 für die Entwicklung von Kurzstrohweizen, (iii) die Analyse der Vorhersagegenauigkeit von GS innerhalb und zwischen Familien durch die Anwendung der beiden Modelle RR-BLUP (ridge-regression best linear unbiased prediction) und wRR-BLUP (weighted RR-BLUP) und (iv) die Berechnung des Selektionsgewinns bzw. die Bestimmung der korrekt selektierten Top-10 %-Genotypen für FHB- und STB-Resistenzen durch GS. Die Ergebnisse dieser Studie zeigten, dass das gibberellinsäuresensitive Zwerggen Rht24 auf Chromosom 6 die Wuchshöhe um durchschnittlich 8,96 cm senkte, ohne dabei die FHB- und STB-Resistenzen oder den Zeitpunkt des Ährenschiebens ungünstig zu beeinflussen. Demgegenüber senkte das weitläufig verwendete Allel Rht-D1b die FHB-Resistenz um durchschnittlich 10,05 Prozentpunkte in einer Winterweizenpopulation bestehend aus acht biparentalen Familien, die für diese Resistenzloci segregierten. Diese Arbeit hat zusätzlich aufgezeigt, dass die Resistenzallele von Fhb1 und Fhb5 die FHB-Anfälligkeit um 6,54 bzw. 11,33 Prozentpunkte reduzierten und somit bereits allein das nicht-adaptierte Allel Fhb5b in der Lage ist, den negativen Effekt von Rht-D1b auf die FHB-Resistenz im untersuchten Material auszugleichen. Das verdeutlicht, dass die Wahl der Zwerg- und Resistenzgene in Zuchtprogrammen, in denen FHB-Resistenz ein Selektionsmerkmal ist, von entscheidender Bedeutung ist. In dieser Studie wurde des Weiteren das Potenzial der GS innerhalb und zwischen Familien untersucht. Die Vorhersagegenauigkeiten innerhalb einer Familie waren für alle Zielmerkmale höher als die zwischen Familien und unterschieden sich zwischen den einzelnen Familien und Vorhersagekonstellationen. Die stärkere Gewichtung von signifikanten Markern durch das wRR-BLUP-Modell führte zu einer Verbesserung der Vorhersagegenauigkeit im Vergleich zum weit genutzten RR-BLUP-Modell, wenn einzelne Gene, wie Rht-D1, oder Major-QTL, wie Fhb5, vorhanden waren. In dieser Studie wurden die genomisch geschätzten Zuchtwerte (GEBVs) von 2.500 ungeprüften Genotypen bestimmt, basierend auf einer partiell verwandten Trainingspopulation von 1.120 Genotypen. Die 10 % FHB- und STB-resistentesten Linien und eine zufällige Stichprobe wurden unter Berücksichtigung der Wuchshöhe genomisch selektiert und phänotypisch in einem vierortigen Feldversuch evaluiert. Für die FHB-Resistenz wurde ein Selektionserfolg von 10,62 Prozentpunkten relativ zur zufällig selektierten Populationsstichprobe ermittelt. Die GS erhöhte die STB-Resistenz allerdings nur um 2,14 Prozentpunkte. Auch die Selektion von neuen Kreuzungseltern auf der Basis von GS erscheint nicht ausreichend zuverlässig, da nur 19 % der Top-10 %-Individuen korrekt selektiert wurden. Zusammenfassend stellt die GS ein wertvolles Werkzeug dar, um den Zuchtfortschritt für die komplex vererbte FHB-Resistenz über kürzere Zyklen und größere Populationen zu unterstützen. In Kombination mit der Nutzung geeigneter Zwerggene und des nicht adaptierten QTL Fhb5 kann dadurch eine Steigerung der FHB-Resistenz im Winterweizen erzielt werden.
Superior glucose metabolism supports NH4+ assimilation in wheat to improve ammonium tolerance
(2024) Hu, Jinling; Zheng, Qiaomei; Neuhäuser, Benjamin; Dong, Chaofeng; Tian, Zhongwei; Dai, Tingbo
The use of slow-release fertilizers and seed-fertilizers cause localized high-ammonium (NH4 +) environments in agricultural fields, adversely affecting wheat growth and development and delaying its yield. Thus, it is important to investigate the physiological responses of wheat and its tolerance to NH4 + stress to improve the adaptation of wheat to high NH4 + environments. In this study, the physiological mechanisms of ammonium tolerance in wheat (Triticum aestivum) were investigated in depth by comparative analysis of two cultivars: NH4 +-tolerant Xumai25 and NH4 +-sensitive Yangmai20. Cultivation under hydroponic conditions with high NH4 + (5 mM NH4 +, AN) and nitrate (5 mM NO3 -, NN), as control, provided insights into the nuanced responses of both cultivars. Compared to Yangmai20, Xumai25 displayed a comparatively lesser sensitivity to NH4 + stress, as evident by a less pronounced reduction in dry plant biomass and a milder adverse impact on root morphology. Despite similarities in NH4 + efflux and the expression levels of TaAMT1.1 and TaAMT1.2 between the two cultivars, Xumai25 exhibited higher NH4 + influx, while maintaining a lower free NH4 + concentration in the roots. Furthermore, Xumai25 showed a more pronounced increase in the levels of free amino acids, including asparagine, glutamine, and aspartate, suggesting a superior NH4 + assimilation capacity under NH4 + stress compared to Yangmai20. Additionally, the enhanced transcriptional regulation of vacuolar glucose transporter and glucose metabolism under NH4 + stress in Xumai25 contributed to an enhanced carbon skeleton supply, particularly of 2-oxoglutarate and pyruvate. Taken together, our results demonstrate that the NH4 + tolerance of Xumai25 is intricately linked to enhanced glucose metabolism and optimized glucose transport, which contributes to the robust NH4 + assimilation capacity.
Transporters mediating ammonium uptake in plants and their regulation by the abiotic stress signaling pathway
(2023) Porras Murillo, Romano; Ludewig, Uwe
Nitrogen nutrition refers to the uptake, assimilation, and utilization of ammonium, nitrate, and organic nitrogen sources. Ammonium is energetically a more cost-effective nitrogen source than nitrate but can be toxic for plants, and its use by plants is regulated at different levels. Ammonium transporters (AMTs) take up ammonium and are localized primarily in plant roots, working as trimers in the plasma membrane. Under high external ammonium concentrations, phosphorylation in AMTs C-termini shuts down transport to avoid toxicity. This phosphorylation is performed by CIPK23, a kinase shown to be inhibited by Clade A PP2Cs. This study aimed to characterize AMTs from wheat and analyze their transcriptional response to ammonium. Another aim was to determine the role of clade A PP2Cs and PYR/PYL receptor proteins for abscisic acid in ammonium nutrition. Chapter I describes the physiological responses of winter wheat to different nitrogen sources and ammonium concentrations. The plants mainly used root morphological responses to adapt to differences in the nitrogen source. High external concentrations of ammonium reduced plant growth, while these conditions induced the expression of TaAMT1;1 and TaAMT1;2. In Chapter II, we studied the capacity of TaAMT2s to transport ammonium and their transcriptional responsiveness to ammonium nutrition. From the six TaAMT2s, only TaAMT2;1 could transport ammonium in a yeast complementation line. Besides, its expression in roots is lower under ammonium than under nitrate. The expression pattern among the remaining TaAMT2s (TaAMT2;2-TaAMT2;6) is similar, with higher expression under ammonium, in both roots and leaves, compared to nitrate. Chapter III focused on the role of the PP2C phosphatase ABI1 (ABA-insensitive 1) in ammonium nutrition and the effect of external ammonium concentrations on ABA concentrations. Ammonium increased ABA concentrations in roots by activating ABA-GE, meaning ammonium toxicity could be sensed as abiotic stress through ABA. Without ammonium, ABI1 dephosphorylates AMTs and inhibits CIPK23; with ammonium, ABA-PYR/PYL complex-mediated inhibition of ABI1 releases CIPK23 to phosphorylate AMTs and avoids ammonium toxicity. Finally, in Chapter IV, we studied the role of AIP1 and its ammonium-dependent regulator, PYL8, in nitrogen nutrition. We described the function of AIP1, which was redundant to ABI1 in AMT regulation. Based on ammonium-dependent root architecture changes, and higher auxin accumulation in pyl8-1 root tips compared to the wild type, we suggest that PYL8 is involved in root-phenotype modulation in an ammonium-dependent manner.
Understanding and addressing food loss and waste : a multidimensional analysis of wheat loss and bread waste in Iran
(2023) Ghaziani, Shahin; Reiner, Doluschitz
Food loss and waste (FLW) is a global issue with significant environmental and economic consequences, threatening food security. Reports show that 14% of global food production is lost in production and supply chains, while 17% is wasted at the consumption stage. Despite this, theres a lack of knowledge, especially in developing countries like Iran, facing challenges due to sanctions, environmental issues, and water scarcity. This doctoral study focuses on FLW in Iran, adopting a lifecycle approach, with wheat and wheat bread in Fars province as the main focus. The research aims to quantify and analyze food waste, identify hotspots, enhance quantification methods, and explore causes and solutions. The study includes mapping the wheat lifecycle, analyzing loss and waste factors, and proposing interventions. Data collection involves surveys and a laboratory experiment. The first survey in October 2018 used value stream mapping to overview the wheat and bread lifecycle. It identified farms, foodservice establishments, and households as major hotspots, revealing data gaps. The second survey, from December 2018 to August 2019, focused on household bread waste (HBW) in Shiraz. The survey involved 419 households and included a self-assessment questionnaire, a food frequency questionnaire for dietary data collection, and a socioeconomic status section. Findings led to three articles. The third article addressed underestimation in self-assessment methods using a lab experiment, improving accuracy. A lab experiment simulated common consumption recipes and measured resulting waste. Comparing the lab results with HBW estimates from the questionnaire survey, the article presents underestimation ratios ranging from 1.24 to 1.80. The fourth article reveals HBW in Shiraz at 1.80%, with traditional bread waste at 1.70% and non-traditional bread waste at 2.50%. However, these percentages do not consider the underestimation inherent in the self-assessment method. Adjusting for underestimation within this study population, traditional bread waste increases to 3.06%, and non-traditional bread waste rises to 3.58%. Outdated data from previous Iranian reports was highlighted. The final article uses multiple regression modeling to predict HBW based on household dietary patterns and socioeconomic scores. It emphasizes the need for consumer-focused interventions to address household food waste effectively, such as developing FLW reduction policies targeting specific consumers grouped based on waste-related characteristics. In conclusion, the dissertation provides a comprehensive analysis of wheat loss and bread waste in Iran, offering insights into environmental, economic, and food security implications. It guides improvements in agricultural productivity, farmer cooperation, and consumer-focused strategies for sustainable consumption. The research contributes methodological advancements and informs decision-making for reducing wheat loss and bread waste, fostering responsible production and consumption.
Understanding the role of the Calcineurin B-like (CBL) proteins and the CBL-Interacting Protein Kinases (CIPK) of wheat (Triticum aestivum) in the regulation of its high affinity ammonium transporters
(2021) Ijato, Toyosi; Ludewig, Uwe
Ammonium is an important nitrogen source whose potential for toxicity (in plants) has been a limitation to its use as a fertilizer. In this work, the response of wheat to ammonium nutrition and the regulatory mechanism governing its high affinity ammonium transporters was investigated. Wheat was able to utilize sole ammonium in the 1 mM range just like sole nitrate. An elevated ammonium concentration of 10 mM caused ammonium induced toxicity effects. Unexpectedly, the wheat seedlings failed to downregulate TaAMT1;1 and TaAMT1;2 in response to elevated ammonium concentration. Nevertheless, TaAMT1;1 and TaAMT1;2 complement ammonium transport in the mep yeast strain (lacking endogenous ammonium transporters). The Voltage dependent ammonium induced currents of the transporters saturated in a concentration dependent manner with Km AMT1;1 = 76 μM and Km AMT1;2 = 196 μM. The affinity of the transporters for ammonium was voltage dependent and indicated that ammonium passes around 35 % of the membrane electric field before rate limiting deprotonation in both transporters. Furthermore, phospho-proteomics study showed the differential phosphorylation of TaAMT1;1 and TaAMT1;2 specific proteotypic phosphopetides. Interestingly, a mutation that mimics phosphorylation at the conserved threonine T453 (T453D) was able to inactivate the ammonium transport function of the transporters. Additionally TaCBL1, and TaCBL2 were able to independently regulate the activity of TaAMT1;1, while TaCBL1, TaCBL2 and TaCBL6 were able to independently impair the ammonium induced current of TaAMT1;2. Subsequently, TaCBL1, TaCBL2 and TaCBL6 interacted with TaCIPK9 to further reduce the ammonium induce current caused by the single TaCBLs proteins on TaAMT1s. TaCIPK23 and TaCIPK32 were only able to regulate TaAMT1;2 by interacting with both TaCBL2 and TaCBL6. Thus, the robust response of wheat to ammonium N was shown to include the phospho-regulation of its high affinity ammonium transporters in a manner that recruits the activity of its TaCBL and TaCIPK proteins.
Use of modeling to characterize phenology and associated traits among wheat cultivars
(2008) Herndl, Markus; Claupein, Wilhelm
Predicting phenology of wheat is important for many aspects of wheat production as for example facilitating accurate timing of pesticides, fertilizers and irrigation, avoiding stress at critical growth stages, and adapting cultivar characteristics to specific environmental constraints or global changes in climate. The aim of the dissertation was to characterize and test the impact of wheat phenology on agronomic traits through integrated use of crop models and information on the genetic makeup of cultivars. In an initial study, cultivar differences in vernalization requirement, photoperiod response and earliness per se were distinguished by field-based indices and compared with corresponding model parameters in CSM-Cropsim-CERES-Wheat model Version 4.0.2.0. To determine whether field-based indices can provide accurate characterization of vernalization requirement, photoperiod response and earliness per se, 26 winter wheat cultivars were evaluated under field conditions at Ihinger Hof, Germany using two natural photoperiod regimes (from different transplanting dates) and vernalization pre-treatments. Results indicated that combining planting dates with vernalization pre-treatments can permit reliable, quantitative characterization of vernalization requirement, photoperiod response and earliness per se of wheat cultivars. Furthermore, genotypic model parameters appeared to be reliable estimates of cultivar differences in response to vernalization and photoperiod. In a second study, the model parameters for vernalization requirement (P1V) and photoperiod response (P1D) were estimated using gene information. To estimate these model parameters through integrating effects of Vrn and Ppd loci, flowering data obtained for 29 cultivars tested in the International Winter Wheat Performance Nursery (IWWPN) were used. Summarizing, results indicated that gene-based estimation of model coefficients was effective for prediction of phenology over a wide range of environments and appears feasible for studying wheat response to environment. To assist plant breeding with crop models, a possibility could be to assess model parameters for designing improved plant types (ideotypes). CMS-Cropsim-CERES-Wheat was used in a third study to test model parameters concerning plant development and grain yield. In ideotyping sequences, the parameters were varied and the model was run in four different scenarios in the North China Plain. The parameter G1 (corresponding trait: kernel number per spike) showed the highest influence on yield over all scenarios followed by G2 (corresponding trait: kernel weight). Results obtained in this study could help breeders to select the relevant traits and integrate them in their breeding program for a specific population of environments. To investigate the coherences between pre-anthesis phenology and grain protein content in a fourth study the statistical analysis of causal relationships with genotypic model parameters was used. It was tested whether model-based characterizations of vernalization requirement, photoperiod response and earliness per se can help explain genotype x environment interactions for grain protein content. Twenty four winter wheat and five spring wheat cultivars (IWWPN) and twelve winter wheat cultivars (of a two year field study at Ihinger Hof, Germany) were characterized using CSM-Cropsim-CERES-Wheat. Covariance analyses indicated that vernalization requirement, photoperiod response, and earliness per se all influenced grain protein content, but their effects varied with site and year within region. Path analyses using data from two seasons in Germany confirmed that grain protein content increased with a shorter pre-anthesis phase and indicated in accordance with the covariance analyses the environmental dependence of this trait. The results proposed that efforts to improve grain protein content should target levels of vernalization requirement, photoperiod sensitivity and earliness per se to specific populations of environments and seek to reduce the apparent large influence of environment on grain protein content. The improved understanding of traits affecting phenology and the linkage with genotypic model parameters can be applied e.g. in China to solve arising and existing agricultural challenges. Model-based analyses can help adapting cropping systems to global warming. In the North China plain a more accurate timing of N-fertilizers and irrigation, as a result of modeling, can ensure a sustainable resource use while maintaining high yields. Summarizing, the findings of this dissertation showed that traits affecting phenology in wheat can be successfully characterized by field-based indices, genotypic model parameters and gene-based estimates of genotypic model parameters. Furthermore, the research showed how genotypic model parameters can be used for breeding purposes, and to test causal relationships both at regional and local geographic scales.