Bread Wheat Landraces Research Articles

Identification of Genomic Regions Conferring Enhanced Zn and Fe Concentration in Wheat Varieties and Introgression Lines Derived from Wild Relatives.

Wild and cultivated relatives of wheat are an important source of genetic factors for improving the mineral composition of wheat. In this work, a wheat panel consisting of modern bread wheat varieties, landraces, and introgression lines with genetic material of the wheat species Triticum timopheevii, T. durum, T. dicoccum, and T. dicoccoides and the synthetic line T. kiharae was used to identify loci associated with the grain zinc (GZnC) and iron (GFeC) content. Using a BLINK model, we identified 31 and 73 marker-trait associations (MTAs) for GZnC and GFeC, respectively, of which 19 were novel. Twelve MTAs distributed on chromosomes 1B, 2A, 2B, 5A, and 5B were significantly associated with GZnC, five MTAs on 2A, 2B, and 5D chromosomes were significantly associated with GFeC, and two SNPs located on 2A and 2B were related to the grain concentration of both trace elements. Meanwhile, most of these MTAs were inherited from At and G genomes of T. timopheevii and T. kiharae and positively affected GZnC and GFeC. Eight genes related to iron or zinc transporters, representing diverse gene families, were proposed as the best candidates. Our findings provide an understanding of the genetic basis of grain Zn and Fe accumulation in species of the Timopheevi group and could help in selecting new genotypes containing valuable loci.

Image-assisted quantification of high and low molecular weight glutenin fractions in wheat by SDS-PAGE

Gluten quality in bread wheat is mainly determined by gluten strength and protein content. Traditionally gluten quality has been predicted based only on allelic variation for HMW-GS characterized by SDS-PAGE- The ratio of high to low molecular weight glutenin subunits has received less attention despite its influence on gluten properties is acknowledge. That is mainly because accurate quantification of glutenin fractions is made by RP-HPLC, a more complex, expensive and time-consuming technology. In the present study, a methodology to estimate HMW/LMW glutenin subunit ratio by SDS-PAGE results was assessed. We used a segregating population derived from a cross between two Spanish bread wheat landraces (Richela Blanca and Jeja Pardilla) showing striking differences according to SDSS tests. Quantification of prolamins by RP-HPLC confirmed a wide range of variation in the HMW/LMW glutenin subunit ratio within the population. Then, we selected 22 lines that represented the available variation. Subsequently, we obtained high-quality SDS-PAGE images following a standard protocol to characterize glutenin allelic variants. Estimation of HMW/LMW-GS ratio was obtained by analyzing the intensity of HMW-GS and LMW-GS gel bands. Correlation between RP-HPLC and SDS-PAGE values was greater than 0.85 proving the suitability of the much simpler and cheaper electrophoretic-based alternative.

Genome wide association mapping of end-use gluten properties in bread wheat landraces (Triticum aestivum L.)

Numerous studies have aimed to dissect the genetic basis of wheat end-use quality, yet the consideration of gluten aggregation properties in this context has been limited despite its important role in determining the processing quality. This study has addressed the evaluation of the end-use quality of a collection of 189 Spanish bread wheat (Triticum aestivum L.) landraces. For phenotyping, we utilized the GlutoPeak methodology to assess gluten aggregation traits, the SDS-sedimentation test to measure gluten strength and NIR for grain protein content. In addition to previous genotyping data with numerous DArT-seq markers distributed across the entire wheat genome, we developed ten KASP-based molecular markers designed for GLU-1 loci, which encode high molecular weight glutenins (HMW-GS). The reliability of these markers was thoroughly assessed. Our genome-wide association analysis (GWAS) focused on gluten properties and protein content, revealed 89 marker-trait-associated loci (MTAs). These loci were further grouped into 50 MTA-QTLs across various chromosomes based on linkage disequilibrium. While some MTA-QTLs overlapped with regions identified in other studies, others represented novel genomic regions. Inside these regions, we identified several candidate genes with gluten quality-related annotated functions or grain-specific expression patterns, which represent potential targets for marker development and future wheat end-use quality improvement.

Determination of pre-harvest sprouting tolerance and quality traits of the bread wheat landraces

Determination of pre-harvest sprouting tolerance and quality traits of the bread wheat landraces

Pathogenicity of Puccinia striiformis f. sp. tritici and quantitative traits on bread wheat landraces in Ethiopia

AbstractBread wheat (Triticum aestivum L.) is severely affected by stripe rust caused by Puccinia striiformis Westend. f. sp. tritici (Pst). This study was conducted to investigate pathogenicity of Pst isolates to bread wheat landraces grown in Ethiopia, establish stripe rust yield loss models and estimate variability in bread wheat quantitative traits. A greenhouse pot experiment was setup to assess seedling stage responses of landraces to Pst and a field study was conducted for adult plant stage evaluation. Among dominant isolates of Pst, Kubsa was the most virulent. Apart from the detection of resistance at the seedling stage study, a broad range of adult‐stage resistance was also observed which can confer durable resistance. Among single‐point models, the onset of severe infection at the development of heading stage causes significant yield loss by stripe rust. The integral yield loss model predicted a strong negative linear relationship between agronomic traits and stripe rust. Hierarchical analysis revealed the presence of three distinct clusters of bread wheat landraces, each forming different stripe rust resistance groups. With the exception of the harvest index and the growth stage parameter of days to heading, all agronomic traits were significantly different for the various landraces. This suggests the presence of diverse genetic resources, which might have also led to different responses to the stripe rust in these materials. This work clarifies the many ways in which landraces of bread wheat react to Pst infection, revealing a range of resistance mechanisms that can be used for efficient disease management.

Resistance of old winter bread wheat landraces to tan spot

Background. The most effective and environmentally safe way to combat wheat diseases is to produce cultivars resistant to their pathogens. For this purpose, old landraces are often used as genetically diverse sources of traits important for breeding. In the process of wheat breeding for resistance to tan spot caused by the fungus Pyrenophora tritici-repentis (Died.) Drechs. (abbr. Ptr), selection is carried out against the dominant allele of Tsn1, the gene of sensitivity to the toxin Ptr ToxA, which induces necrosis and represents the main pathogenicity factor of Ptr controlled by the ToxA gene. The aim of the study was to characterize a set of bread wheat (Triticum aestivum L.) accessions from the VIR collection for resistance to various Ptr populations, genotype these accessions using Xfcp623 – a DNA marker of the Tsn1 gene, and identify sources of tan spot resistance.Materials and methods. Sixty-seven accessions of winter bread wheat landraces were studied. Seedling resistance to two Ptr populations was assessed using a 5-point scale adopted at VIZR. The allelic state of Tsn1 was identified by PCR.Results. Dominant alleles of Tsn1 were found for 55% of the studied accessions. Seventeen accessions were resistant or moderately resistant to two Ptr populations and an isolate from Krasnodar Territory previously used for their characterization. Nine of them had the tsn1tsn1 genotype, and 8 had Tsn1Tsn1. The accessions mainly belonged to three agroecological groups proposed by N. I. Vavilov: “steppe winter bread wheat (Banatka wheats)”, “North European forest awnless bread wheats (Sandomirka wheats)”, and “Caucasian mountain winter bread wheat”.Conclusion. The identified 17 accessions resistant to Ptr are potential breeding sources of resistance. In the studied set of accessions, no significant relationship was found between the allelic state of the Tsn1 gene in the accession and its response to the infection with pathogen populations, including isolates with the ToxA gene.

Genome wide association in Spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits

Key messageAssociation mapping conducted in 189 Spanish bread wheat landraces revealed six key genomic regions that constitute stable QTLs for yield and include 15 candidate genes.Genetically diverse landraces provide an ideal population to conduct association analysis. In this study, association mapping was conducted in a collection of 189 Spanish bread wheat landraces whose genomic diversity had been previously assessed. These genomic data were combined with characterization for yield-related traits, including grain size and shape, and phenological traits screened across five seasons. The association analysis revealed a total of 881 significant marker trait associations, involving 434 markers across the genome, that could be grouped in 366 QTLs based on linkage disequilibrium. After accounting for days to heading, we defined 33 high density QTL genomic regions associated to at least four traits. Considering the importance of detecting stable QTLs, 6 regions associated to several grain traits and thousand kernel weight in at least three environments were selected as the most promising ones to harbour targets for breeding. To dissect the genetic cause of the observed associations, we studied the function and in silico expression of the 413 genes located inside these six regions. This identified 15 candidate genes that provide a starting point for future analysis aimed at the identification and validation of wheat yield related genes.

Analysis of genetic diversity and genome-wide association study for drought tolerance related traits in Iranian bread wheat

BackgroundDrought is most likely the most significant abiotic stress affecting wheat yield. The discovery of drought-tolerant genotypes is a promising strategy for dealing with the world’s rapidly diminishing water resources and growing population. A genome-wide association study (GWAS) was conducted on 298 Iranian bread wheat landraces and cultivars to investigate the genetic basis of yield, yield components, and drought tolerance indices in two cropping seasons (2018–2019 and 2019–2020) under rainfed and well-watered environments.ResultsA heatmap display of hierarchical clustering divided cultivars and landraces into four categories, with high-yielding and drought-tolerant genotypes clustering in the same group. The results of the principal component analysis (PCA) demonstrated that selecting genotypes based on the mean productivity (MP), geometric mean productivity (GMP), harmonic mean (HM), and stress tolerance index (STI) can help achieve high-yield genotypes in the environment. Genome B had the highest number of significant marker pairs in linkage disequilibrium (LD) for both landraces (427,017) and cultivars (370,359). Similar to cultivars, marker pairs on chromosome 4A represented the strongest LD (r2 = 0.32). However, the genomes D, A, and B have the highest LD, respectively. The single-locus mixed linear model (MLM) and multi-locus random-SNP-effect mixed linear model (mrMLM) identified 1711 and 1254 significant marker-trait association (MTAs) (-log10 P > 3) for all traits, respectively. A total of 874 common quantitative trait nucleotides (QTNs) were simultaneously discovered by both MLM and mrMLM methods. Gene ontology revealed that 11, 18, 6, and 11 MTAs were found in protein-coding regions (PCRs) for spike weight (SW), thousand kernel weight (TKW), grain number per spike (GN), and grain yield (GY), respectively.ConclusionThe results identified rich regions of quantitative trait loci (QTL) on Ch. 4A and 5A suggest that these chromosomes are important for drought tolerance and could be used in wheat breeding programs. Furthermore, the findings indicated that landraces studied in Iranian bread wheat germplasm possess valuable alleles, that are responsive to water-limited conditions. This GWAS experiment is one of the few types of research conducted on drought tolerance that can be exploited in the genome-mediated development of novel varieties of wheat.

Characterization of some physiological traits of some bread wheat (Triticum aestivum) landraces for drought tolerance at late developmental stages

Characterization of some physiological traits of some bread wheat (Triticum aestivum) landraces for drought tolerance at late developmental stages

Bread Wheat Landraces Adaptability to Low-Input Agriculture.

Bread wheat landraces were an important source of biodiversity used in agriculture before the widespread adoption of high-yielding commercial cultivars adapted to high inputs. Could future agriculture exploit these landraces in different cropping systems in organic or lower-input environments? A two-year field trial was conducted to evaluate grain yield, agronomic performance, and grain quality of bread wheat landraces under different cropping systems, including low-input/organic/conventional environments. Significant variability was found for almost all characteristics among landraces, which makes landraces valuable sources of genetic variation for breeding programs aimed at achieving high and consistent production as well as high-quality products in low-input/organic environments. Additionally, landraces play a crucial role in expanding the genetic diversity of cultivated bread wheat and mitigating biodiversity erosion, thereby enabling crops to better withstand the challenges of low-input/organic agriculture. The landrace "Xilokastro Lamias" had the highest yield among the landraces evaluated in the first growing season (2.65 t·ha-1) and one of the highest yields (2.52 t·ha-1) of all genotypes in the second growing season, which shows promising potential as a starting material in breeding programs targeting high and stable yields. GGE biplot analysis identified the landrace "Xilokastro Lamias", along with commercial cultivars "Yecora E" and "Panifor", as suitable candidates for direct use in low-input/organic wheat farming systems to achieve enhanced productivity. In the conventional environment (C2-IPGRB), commercial cultivars showed the highest values (3.09 to 3.41 ton·ha-1). Of the landraces, only the X4 showed a high GY (3.10 ton·ha-1) while the other landraces had ~33-85% lower yield. In the organic environment (O2-IPGRB), the highest productivity was found in the commercial cultivar X5 and the landrace X4. Commercial cultivars X8 and X7 showed ~68% reduction in GY in the organic environment compared to the conventional, while this reduction was half for the landraces. Finally, the reduction in grain yield between conventional and organic environments was observed to be 45% for commercial cultivars, while it was only half for landraces. This finding confirms the adaptability of landraces to organic agriculture.

Characterization of Nepalese Bread Wheat Landraces Based on Morpho-Phenological and Agronomic Traits

Due to the presence of valuable genes that contribute to a variety of functional traits, landraces kept in Genebank can be extremely important in wheat breeding. A study was conducted based on agro-morphological traits of Nepalese bread wheat landraces to explore genetic diversity among them. Using a replicated rod row design, 200 landraces were evaluated during the winter season of 2018 and 2019 at Khumaltar, Lalitpur, Nepal. The degree of variations among landraces was determined using univariate and multivariate statistical tools. The Shannon-Weaver diversity index (H’) showed a wide range of variations among the studied landraces, ranging from 0.55 to 0.91 in quantitative traits and 0.63 to 0.85 in qualitative traits.Principal component (PC) analysis with an eigenvalue greater than 1 reveals that 68% of the variability for quantitative traits is contributed by the first five principal components whereas 67% of the variability of qualitative traits is governed by the first four principal components. UPGMA (Unweighted pair-groups methods through arithmetic average) clustered 202 landraces into five groups according to quantitative charterers.Identified advantageous adaptive traits through the analysis of variability within the accessions, will be used by breeders for crosses in the breeding or used directly by farmers.

Long-Term In Situ Conservation Drove Microevolution of Solina d'Abruzzo Wheat on Adaptive, Agronomic and Qualitative Traits.

Solina is an example of a bread wheat landrace that has been conserved in situ for centuries in Central Italy. A core collection of Solina lines sampled in areas at different altitudes and climatic conditions was obtained and genotyped. A clustering analysis based on a wide SNP dataset generated from DArTseq analysis outlined the existence of two main groups, which, after Fst analysis, showed polymorphism in genes associated with vernalization and photoperiod response. Starting from the hypothesis that the different pedoclimatic environments in which Solina lines were conserved may have shaped the population, some phenotypic characteristics were studied in the Solina core collection. Growth habit, low-temperature resistance, allelic variations at major loci involved in vernalization response, and sensitivity to photoperiod were evaluated, together with seed morphologies, grain colour, and hardness. The two Solina groups showed different responses to low temperatures and to photoperiod-specific allelic variations as well as the different morphology and technological characteristics of the grain. In conclusion, the long-term in situ conservation of Solina in environments sited at different altitudes has had an impact on the evolution of this landrace which, despite its high genetic diversity, remains clearly identifiable and distinct so as to be included in conservation varieties.

Exploring genomic regions involved in bread wheat resistance to leaf rust at seedling/adult stages by using GWAS analysis

BackgroundGlobal wheat productivity is seriously challenged by a range of rust pathogens, especially leaf rust derived from Puccinia triticina. Since the most efficient approach to control leaf rust is genetic resistance, many efforts have been made to uncover resistance genes; however, it demands an ongoing exploration for effective resistance sources because of the advent of novel virulent races. Thus, the current study was focused on detecting leaf rust resistance-related genomic loci against the P. triticina prevalent races by GWAS in a set of Iranian cultivars and landraces.ResultsEvaluation of 320 Iranian bread wheat cultivars and landraces against four prevalent rust pathotypes of P. triticina (LR-99–2, LR-98–12, LR-98–22, and LR-97–12) indicated the diversity in wheat accessions responses to P. triticina. From GWAS results, 80 leaf rust resistance QTLs were located in the surrounding known QTLs/genes on almost chromosomes, except for 1D, 3D, 4D, and 7D. Of these, six MTAs (rs20781/rs20782 associated with resistance to LR-97–12; rs49543/rs52026 for LR-98–22; rs44885/rs44886 for LR-98–22/LR-98–1/LR-99–2) were found on genomic regions where no resistance genes previously reported, suggesting new loci conferring resistance to leaf rust. The GBLUP genomic prediction model appeared better than RR-BLUP and BRR, reflecting that GBLUP is a potent model for genomic selection in wheat accessions.ConclusionsOverall, the newly identified MTAs as well as the highly resistant accessions in the recent work provide an opportunity towards improving leaf rust resistance.

Development and marker-trait relationships of functional markers for glutamine synthetase GS1 and GS2 homoeogenes in bread wheat

GS1 and GS2 genes encode, respectively, the main cytosolic and the plastidic isoforms of glutamine synthetase (GS). In the present study, the wheat GS1 and GS2 homoeogenes located in the A, B and D genome chromosomes have been sequenced in a group of 15 bread wheat varieties including landraces, old commercial varieties and modern cultivars. Phenotypic characterization by multi-environment field trials detected significant effects of specific GS homoeogenes on three of the seven agronomic and grain quality traits analyzed. Based on the gene sequence polymorphisms found, biallelic molecular markers that could facilitate marker-assisted breeding were developed for genes GS1A, GS2A and GS2D. The remaining genes encoding main wheat GS were excluded because of being monomorphic (GS1D) or too polymorphic (GS1B and GS2B) in the sequencing panel varieties. A collection of 187 Spanish bread wheat landraces was genotyped for these gene-based molecular markers. Data analyses conducted with phenotypic records reported for this germplasm collection in López-Fernández et al. (Plants-Basel 10: 620, 2021) have revealed the beneficial influence of some individual alleles on thousand-kernel weight (TKW), kernels per spike (KS) and grain protein content. Furthermore, genetic interactions between GS1A, a cytosolic GS isoform coding gene, and GS2A or GS2D, plastidic GS enzyme coding genes, were found to affect TKW and KS. The finding that some alleles at one locus may mask the effect of positive alleles at hypostatic GS loci should be kept in mind if gene pyramiding strategies are attempted for the improvement of N-use efficiency-related traits.

Cloning and characterization of vacuolar Na+/H+ antiporter gene promoter from wheat (Triticum aestivum) cv. Kharchia Local

Soil salinity is one of the significant abiotic stresses in plants. Few efficient stress-inducible promoters from plants, especially from monocotyledonous crops like wheat (Triticum aestivum L.) are available to drive stress-inducible expression of transgene. Therefore, an experiment was conducted at ICAR-National Institute for Plant Biotechnology, New Delhi, during 2017–18 to clone and characterize stress-inducible promoter from wheat. Results found a 418 bp long NHX1 promoter (TaUNHX) from a bread wheat landrace, Kharchia Local. In silico analysis of TaUNHX predicted several cis-acting regulatory elements, including CAAT, DOF, GATA motifs and some essential stress-responsive elements. To analyze the activity of TaUNHX, Agrobacterium-mediated transient GUS assay in tobacco (Nicotiana tabacum L.) leaves and stems was studied under various abiotic stresses like salt (300 mM NaCl), drought (20% PEG) and ABA (100 μM). Stress-responsive nature of this promoter can be used to drive the expression of transgene following exposure to various stresses. The study's finding has significant implications as the characterized promoter can be used to develop transgenics where the transgene expression can be induced following exposure to stress.

Genotypic differences for chlorophyll, ash and N contents and their relations with grain yield in Turkish bread wheat landraces

The genetic differences in the landraces are very important for plant breeding. The aim of this study was to determine the genetic differences for chlorophyll, ash and N contents and their relations with grain yield in Turkish bread wheat landraces. There were significant genetic differences for grain yield (GY), ash content of flag leaf at anthesis (AFLAC), ash content of spike at anthesis (ASAC), ash content of flag leaf at maturity (MFLAC), grain ash content (GAC), chlorophyll content at anthesis (ACC), chlorophyll content at early milk maturity (EMCC), chlorophyll content at late milk maturity (LMCC), chlorophyll content at early dough maturity (EDCC), N content of flag leaf at anthesis (FLN) and spike N contents (SN). The grain yield was positively and significantly related with AFLAC, ASAC, MFLAC and ACC, negatively and significantly related with GAC, EDCC and SN, not significantly related with EMCC, LMLC and FLN.

Genome-wide association mapping and genomic prediction of agronomical traits and breeding values in Iranian wheat under rain-fed and well-watered conditions

BackgroundThe markers detected by genome-wide association study (GWAS) make it possible to dissect genetic structure and diversity at many loci. This can enable a wheat breeder to reveal and used genomic loci controlling drought tolerance. This study was focused on determining the population structure of Iranian 208 wheat landraces and 90 cultivars via genotyping-by-sequencing (GBS) and also on detecting marker-trait associations (MTAs) by GWAS and genomic prediction (GS) of wheat agronomic traits for drought-tolerance breeding. GWASs were conducted using both the original phenotypes (pGWAS) and estimated breeding values (eGWAS). The bayesian ridge regression (BRR), genomic best linear unbiased prediction (gBLUP), and ridge regression-best linear unbiased prediction (rrBLUP) approaches were used to estimate breeding values and estimate prediction accuracies in genomic selection.ResultsPopulation structure analysis using 2,174,975 SNPs revealed four genetically distinct sub-populations from wheat accessions. D-Genome harbored the lowest number of significant marker pairs and the highest linkage disequilibrium (LD), reflecting different evolutionary histories of wheat genomes. From pGWAS, BRR, gBLUP, and rrBLUP, 284, 363, 359 and 295 significant MTAs were found under normal and 195, 365, 362 and 302 under stress conditions, respectively. The gBLUP with the most similarity (80.98 and 71.28% in well-watered and rain-fed environments, correspondingly) with the pGWAS method in the terms of discovered significant SNPs, suggesting the potential of gBLUP in uncovering SNPs. Results from gene ontology revealed that 29 and 30 SNPs in the imputed dataset were located in protein-coding regions for well-watered and rain-fed conditions, respectively. gBLUP model revealed genetic effects better than other models, suggesting a suitable tool for genome selection in wheat.ConclusionWe illustrate that Iranian landraces of bread wheat contain novel alleles that are adaptive to drought stress environments. gBLUP model can be helpful for fine mapping and cloning of the relevant QTLs and genes, and for carrying out trait introgression and marker-assisted selection in both normal and drought environments in wheat collections.

Genome-wide association study to identify genomic loci associated with early vigor in bread wheat under simulated water deficit complemented with quantitative trait loci meta-analysis.

A genome-wide association study (GWAS) was used to identify associated loci with early vigor under simulated water deficit and grain yield under field drought in a diverse collection of Iranian bread wheat landraces. In addition, a meta-quantitative trait loci (MQTL) analysis was used to further expand our approach by retrieving already published quantitative trait loci (QTL) from recombinant inbred lines, double haploids, back-crosses, and F2 mapping populations. In the current study, around 16%, 14%, and 16% of SNPs were in significant linkage disequilibrium (LD) in the A, B, and D genomes, respectively, and varied between 5.44% (4A) and 21.85% (6A). Three main subgroups were identified among the landraces with different degrees of admixture, and population structure was further explored through principal component analysis. Our GWAS identified 54 marker-trait associations (MTAs) that were located across the wheat genome but with the highest number found in the B sub-genome. The gene ontology (GO) analysis of MTAs revealed that around 75% were located within or closed to protein-coding genes. In the MQTL analysis, 23 MQTLs, from a total of 215 QTLs, were identified and successfully projected onto the reference map. MQT-YLD4, MQT-YLD9, MQT-YLD13, MQT-YLD17, MQT-YLD18, MQT-YLD19, and MQTL-RL1 contributed to the highest number of projected QTLs and were therefore regarded as the most reliable and stable QTLs under water deficit conditions. These MQTLs greatly facilitate the identification of putative candidate genes underlying at each MQTL interval due to the reduced confidence of intervals associated with MQTLs. These findings provide important information on the genetic basis of early vigor traits and grain yield under water deficit conditions and set the foundation for future investigations into adaptation to water deficit in bread wheat.

Türkiye’ye Ait Yerel Ekmeklik Buğday Çeşitlerinden Seçilen Saf Hatlar ile Bazı Tescilli Çeşitlerin Tane Kalite Özelliklerinin Belirlenmesi

Bread wheat landraces are considered among important gene sources for quality breeding programs. This study aims to compare thousand kernel weight crude protein ratio, dry gluten ratio, grain hardness and zeleny sedimentation results of 20 bread wheat lines selected from landraces to 5 registered cultivars in order to determine future candidates for quality breeding programs. Field experiments were conducted in the consequent 2012-2013 and 2013-2014 growing seasons in Çanakkale (Türkiye), according to randomized complete block design with three replications. ANOVA results indicated significant difference among genotypes, means were compared with Duncan’s test. Additionally, genotype × growing season interaction were significant for all parameters. Results of cluster and PCA Biplot analysis revealed a significant and positive relationship between crude protein ratio and dry gluten ratio while allowing for the selection of superior landrace pure lines. Our findings suggested that bread wheat varieties had higher TKW compared to landrace pure lines when pure lines had higher crude protein ratio, dry gluten ratio, sedimentation value with generally softer grains. Bread wheat landraces were concluded as being important variation sources.

Türkiye'nin Değişik İllerinden Toplanmış Yerel Kışlık Ekmeklik Buğday Çeşitlerinden Seçilen Saf Hatların Verim ve Verim Unsurlarının Belirlenmesi

Turkey’s flora contains a substantial genetic diversity of natural wheat landrace germplasm. This study aims to compare 20 bread wheat pure lines selected from landraces and 5 varieties by their yield and yield components to select promising genotypes. Field experiments are conducted in 2012-2013 and 2013-2014 growing seasons in Çanakkale (Türkiye), according to a randomized complete block experimental design with three replications. Plant height, spike length, the number of spikelets per spike, spike weight, grain weight per spike, the number of grains per spike, the number of spikes per square meter, the number of grains per square meter, biomass, harvest index and grain yield of all bread wheat genotypes were determined. ANOVA results indicated that differences between all genotypes were significant. Commercial varieties were found to have higher grain yield, harvest index, spike weight, grain weight per spike, number of grains per spike, and number of grains per square meter compared to the landrace-derived pure lines, when pure lines were found to have higher plant height, biomass, and number of spikelets per spike. Results suggested that bread wheat landraces tended to be superior to the varieties by vegetative traits but inferior by grain properties, which could be the result of breeding efforts aimed to improve the grain yield of wheat. In conclusion, pure lines with high grain yield, Hakkari TR 47982/5 and Kırklareli TR 38316/2 were suggested as candidates to be utilized in future breeding programs.