The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Albert Vandenberg - One of the best experts on this subject based on the ideXlab platform.
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Defense responses of lentil (Lens culinaris) genotypes carrying non-allelic Ascochyta blight resistance genes to Ascochyta lentis infection.
PloS one, 2018Co-Authors: Ehsan Sari, Albert Vandenberg, Judith Lichtenzveig, Vijai Bhadauria, Larissa Ramsay, M. Hossein Borhan, Kirstin E. Bett, Sabine BannizaAbstract:Ascochyta blight of lentil is an important fungal disease in many lentil-producing regions of the world causing major yield and grain quality losses. Quick shifts in aggressiveness of the population of the causal agent Ascochyta lentis mandates developing germplasm with novel and durable resistance. In the absence of complete resistance, lentil genotypes CDC Robin and 964a-46 have frequently been used as sources of partial resistance to Ascochyta blight and carry non-allelic Ascochyta blight resistance genes. RNA-seq analysis was conducted to identify differences in the transcriptome of CDC Robin, 964a-46 and the susceptible check Eston after inoculation with A. lentis. Candidate defense genes differentially expressed among the genotypes had hypothetical functions in various layers of plant defense, including pathogen recognition, phytohormone signaling pathways and downstream defense responses. CDC Robin and 964a-46 activated cell surface receptors (e.g. receptor like kinases) tentatively associated with pathogen-associated molecular patterns (PAMP) recognition and nucleotide-binding site leucine-rich repeat (NBS-LRR) receptors associated with intracellular effector recognition upon A. lentis infection, and differed in their activation of salicylic acid, abscisic acid and jasmonic acid / ethylene signal transduction pathways. These differences were reflected in the differential expression of downstream defense responses such as pathogenesis-related proteins, and genes associated with the induction of cell death and cell-wall reinforcement. A significant correlation between expression levels of a selection of genes based on quantitative real-time PCR and their expression levels estimated through RNA-seq demonstrated the technical and analytical accuracy of RNA-seq for identification of genes differentially expressed among genotypes. The presence of different resistance mechanisms in 964a-46 and CDC Robin indicates their value for pyramiding gene leading to more durable resistance to Ascochyta blight.
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Genotype-dependent interaction of lentil lines with Ascochyta lentis.
Frontiers in plant science, 2017Co-Authors: Ehsan Sari, Albert Vandenberg, Vijai Bhadauria, Sabine BannizaAbstract:Ascochyta blight of lentil is a prevalent disease in many lentil producing regions and can cause major yield and grain quality losses. The most environmentally acceptable and economically profitable method of control is to develop varieties with high levels of durable resistance. Genetic studies to date suggest that Ascochyta blight resistance genes in lentil lines CDC Robin, ILL 7537, 964a-46 and ILL 1704 are non-allelic. To understand how different resistance genes manifest resistance in these genotypes and an accession of Lens ervoides, L-01-827A, with high level of resistance to Ascochyta blight, cellular and molecular defense responses were compared after inoculation with the causal pathogen Ascochyta lentis. Pathogenicity testing of the resistant lines to A. lentis inoculation revealed significantly lower disease severity on CDC Robin and ILL 7537 compared to ILL 1704 and 964a-46, and no symptoms of disease were observed on L-01-827A. Histological examinations indicated that cell death triggered by the pathogen might be perturbed as a mechanism of resistance in CDC Robin. In contrast, limiting colonization of epidermal cells by A. lentis is a suggested mechanism of resistance in 964a-46. A time-series comparison of the expressions of hallmark genes in salicylic acid (SA) and jasmonic acid signal transduction pathways between CDC Robin and 964a-46 was conducted. These partially resistant genotypes differed in the timing and the magnitude of SA and JA signaling pathway activation. The SA signaling pathway was only triggered in 964a-46, whereas the JA pathway was triggered in both partially resistant genotypes CDC Robin and 964a-46. The expression of JA-associated genes was lower in 964a-46 than CDC Robin. These observations corroborate the existence of diverse Ascochyta blight resistance mechanisms in lentil genotypes carrying different resistance genes.
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Fast track genetic improvement of Ascochyta blight resistance and double podding in chickpea by marker-assisted backcrossing.
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2013Co-Authors: Bunyamin Tar’an, Thomas D Warkentin, Albert VandenbergAbstract:Ascochyta blight (AB) caused by the fungus Ascochyta rabiei Pass. Lab. is one of the major diseases of chickpea worldwide and a constraint to production in western Canada. The use of varieties with high levels of resistance is considered the most economical solution for long-term Ascochyta blight management in chickpea. QTL for resistance to Ascochyta blight have been identified in chickpea. The availability of molecular markers associated with QTL for Ascochyta blight resistant and double podding provides an opportunity to apply marker-assisted backcrossing to introgress the traits into adapted chickpea cultivars. In the present study, molecular markers that were linked to the QTL for Ascochyta blight resistance and the double podding trait, and those unlinked to the resistance were used in foreground and background selection, respectively, in backcrosses between moderately resistant donors (CDC Frontier and CDC 425-14) and the adapted varieties (CDC Xena, CDC Leader and FLIP98-135C). The strategy included two backcrosses and selection for two QTL for Ascochyta blight resistance and a locus associated with double podding. The fixation of the elite genetic background was monitored with 16–22 SSR markers to accelerate restoration of the genetic background at each backcross. By the BC2F1 generation, plants with improved Ascochyta blight resistance and double podding were identified. The selected plants possessed the majority of elite parental type SSR alleles on all fragments analyzed except the segment of LG 4, LG 6 and LG 8 that possessed the target QTL. The results showed that the adapted variety could be efficiently converted into a variety with improved resistance in two backcross generations.
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genetic mapping of Ascochyta blight resistance in chickpea cicer arietinum l using a simple sequence repeat linkage map
Genome, 2007Co-Authors: Bunyamin Taran, A Tullu, Thomas D Warkentin, Albert VandenbergAbstract:Ascochyta blight, caused by the fungus Ascochyta rabiei (Pass.) Lab., is one of the most devastating diseases of chickpea (Cicer arietinum L.) worldwide. Research was conducted to map genetic factors for resistance to Ascochyta blight using a linkage map constructed with 144 simple sequence repeat markers and 1 morphological marker (fc, flower colour). Stem cutting was used to vegetatively propagate 186 F2 plants derived from a cross between Cicer arietinum L. ‘ICCV96029’ and ‘CDC Frontier’. A total of 556 cutting-derived plants were evaluated for their reaction to Ascochyta blight under controlled conditions. Disease reaction of the F1 and F2 plants demonstrated that the resistance was dominantly inherited. A Fain’s test based on the means and variances of the Ascochyta blight reaction of the F3 families showed that a few genes were segregating in the population. Composite interval mapping identified 3 genomic regions that were associated with the reaction to Ascochyta blight. One quantitative trait locu...
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genetic mapping of Ascochyta blight resistance in chickpea cicer arietinum l using a simple sequence repeat linkage map
Genome, 2007Co-Authors: Bunyamin Taran, A Tullu, Thomas D Warkentin, Albert VandenbergAbstract:Ascochyta blight, caused by the fungus Ascochyta rabiei (Pass.) Lab., is one of the most devastating diseases of chickpea (Cicer arietinum L.) worldwide. Research was conducted to map genetic factors for resistance to Ascochyta blight using a linkage map constructed with 144 simple sequence repeat markers and 1 morphological marker (fc, flower colour). Stem cutting was used to vegetatively propagate 186 F2 plants derived from a cross between Cicer arietinum L. 'ICCV96029' and 'CDC Frontier'. A total of 556 cutting-derived plants were evaluated for their reaction to Ascochyta blight under controlled conditions. Disease reaction of the F1 and F2 plants demonstrated that the resistance was dominantly inherited. A Fain's test based on the means and variances of the Ascochyta blight reaction of the F3 families showed that a few genes were segregating in the population. Composite interval mapping identified 3 genomic regions that were associated with the reaction to Ascochyta blight. One quantitative trait locus (QTL) on each of LG3, LG4, and LG6 accounted for 13%, 29%, and 12%, respectively, of the total estimated phenotypic variation for the reaction to Ascochyta blight. Together, these loci controlled 56% of the total estimated phenotypic variation. The QTL on LG4 and LG6 were in common with the previously reported QTL for Ascochyta blight resistance, whereas the QTL on LG3 was unique to the current population.
Bunyamin Taran - One of the best experts on this subject based on the ideXlab platform.
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qtl sequencing strategy to map genomic regions associated with resistance to Ascochyta blight in chickpea
Plant Biotechnology Journal, 2019Co-Authors: Amit Deokar, Ketema Daba, Mandeep Sagi, Bunyamin TaranAbstract:Whole-genome sequencing-based bulked segregant analysis (BSA) for mapping quantitative trait loci (QTL) provides an efficient alternative approach to conventional QTL analysis as it significantly reduces the scale and cost of analysis with comparable power to QTL detection using full mapping population. We tested the application of next-generation sequencing (NGS)-based BSA approach for mapping QTLs for Ascochyta blight resistance in chickpea using two recombinant inbred line populations CPR-01 and CPR-02. Eleven QTLs in CPR-01 and six QTLs in CPR-02 populations were mapped on chromosomes Ca1, Ca2, Ca4, Ca6 and Ca7. The QTLs identified in CPR-01 using conventional biparental mapping approach were used to compare the efficiency of NGS-based BSA in detecting QTLs for Ascochyta blight resistance. The QTLs on chromosomes Ca1, Ca4, Ca6 and Ca7 overlapped with the QTLs previously detected in CPR-01 using conventional QTL mapping method. The QTLs on chromosome Ca4 were detected in both populations and overlapped with the previously reported QTLs indicating conserved region for Ascochyta blight resistance across different chickpea genotypes. Six candidate genes in the QTL regions identified using NGS-based BSA on chromosomes Ca2 and Ca4 were validated for their association with Ascochyta blight resistance in the CPR-02 population. This study demonstrated the efficiency of NGS-based BSA as a rapid and cost-effective method to identify QTLs associated with Ascochyta blight in chickpea.
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genetic mapping of Ascochyta blight resistance in chickpea cicer arietinum l using a simple sequence repeat linkage map
Genome, 2007Co-Authors: Bunyamin Taran, A Tullu, Thomas D Warkentin, Albert VandenbergAbstract:Ascochyta blight, caused by the fungus Ascochyta rabiei (Pass.) Lab., is one of the most devastating diseases of chickpea (Cicer arietinum L.) worldwide. Research was conducted to map genetic factors for resistance to Ascochyta blight using a linkage map constructed with 144 simple sequence repeat markers and 1 morphological marker (fc, flower colour). Stem cutting was used to vegetatively propagate 186 F2 plants derived from a cross between Cicer arietinum L. ‘ICCV96029’ and ‘CDC Frontier’. A total of 556 cutting-derived plants were evaluated for their reaction to Ascochyta blight under controlled conditions. Disease reaction of the F1 and F2 plants demonstrated that the resistance was dominantly inherited. A Fain’s test based on the means and variances of the Ascochyta blight reaction of the F3 families showed that a few genes were segregating in the population. Composite interval mapping identified 3 genomic regions that were associated with the reaction to Ascochyta blight. One quantitative trait locu...
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genetic mapping of Ascochyta blight resistance in chickpea cicer arietinum l using a simple sequence repeat linkage map
Genome, 2007Co-Authors: Bunyamin Taran, A Tullu, Thomas D Warkentin, Albert VandenbergAbstract:Ascochyta blight, caused by the fungus Ascochyta rabiei (Pass.) Lab., is one of the most devastating diseases of chickpea (Cicer arietinum L.) worldwide. Research was conducted to map genetic factors for resistance to Ascochyta blight using a linkage map constructed with 144 simple sequence repeat markers and 1 morphological marker (fc, flower colour). Stem cutting was used to vegetatively propagate 186 F2 plants derived from a cross between Cicer arietinum L. 'ICCV96029' and 'CDC Frontier'. A total of 556 cutting-derived plants were evaluated for their reaction to Ascochyta blight under controlled conditions. Disease reaction of the F1 and F2 plants demonstrated that the resistance was dominantly inherited. A Fain's test based on the means and variances of the Ascochyta blight reaction of the F3 families showed that a few genes were segregating in the population. Composite interval mapping identified 3 genomic regions that were associated with the reaction to Ascochyta blight. One quantitative trait locus (QTL) on each of LG3, LG4, and LG6 accounted for 13%, 29%, and 12%, respectively, of the total estimated phenotypic variation for the reaction to Ascochyta blight. Together, these loci controlled 56% of the total estimated phenotypic variation. The QTL on LG4 and LG6 were in common with the previously reported QTL for Ascochyta blight resistance, whereas the QTL on LG3 was unique to the current population.
Sukhjiwan Kaur - One of the best experts on this subject based on the ideXlab platform.
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snp discovery and high density genetic mapping in faba bean vicia faba l permits identification of qtls for Ascochyta blight resistance
Plant Science, 2014Co-Authors: Sukhjiwan Kaur, Rohan B. E. Kimber, Noel O I Cogan, John W Forster, Michael Materne, J G PaullAbstract:Abstract Ascochyta blight, caused by the fungus Ascochyta fabae Speg., is a common and destructive disease of faba bean (Vicia faba L.) on a global basis. Yield losses vary from typical values of 35–40% to 90% under specific environmental conditions. Several sources of resistance have been identified and used in breeding programs. However, introgression of the resistance gene determinants into commercial cultivars as a gene pyramiding approach is reliant on selection of closely linked genetic markers. A total of 14,552 base variants were identified from a faba bean expressed sequence tag (EST) database, and were further quality assessed to obtain a set of 822 high-quality single nucleotide polymorphisms (SNPs). Sub-sets of 336 EST-derived simple sequence repeats (SSRs) and 768 SNPs were further used for high-density genetic mapping of a biparental faba bean mapping population (Icarus × Ascot) that segregates for resistance to Ascochyta blight. The linkage map spanned a total length of 1216.8 cM with 12 linkage groups (LGs) and an average marker interval distance of 2.3 cM. Comparison of map structure to the genomes of closely related legume species revealed a high degree of conserved macrosynteny, as well as some rearrangements. Based on glasshouse evaluation of Ascochyta blight resistance performed over two years, four genomic regions controlling resistance were identified on Chr-II, Chr-VI and two regions on Chr-I.A. Of these, one (QTL-3) may be identical with quantitative trait loci (QTLs) identified in prior studies, while the others (QTL-1, QTL-2 and QTL-4) may be novel. Markers in close linkage to Ascochyta blight resistance genes identified in this study can be further validated and effectively implemented in faba bean breeding programs.
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genetic marker discovery intraspecific linkage map construction and quantitative trait locus analysis of Ascochyta blight resistance in chickpea cicer arietinum l
Molecular Breeding, 2014Co-Authors: Amber Stephens, Maria Lombardi, Noel O I Cogan, John W Forster, Kristy Hobson, Michael Materne, Sukhjiwan KaurAbstract:Ascochyta blight, caused by the fungus Ascochyta rabiei (Pass.) Labr., is a highly destructive disease of chickpea (Cicer arietinum L.) on a global basis, and exhibits considerable natural variation for pathogenicity. Different sources of Ascochyta blight resistance are available within the cultivated species, suitable for pyramiding to improve field performance. Robust and closely linked genetic markers are desirable to facilitate this approach. A total of 4,654 simple sequence repeat (SSR) and 1,430 single nucleotide polymorphism (SNP) markers were identified from a chickpea expressed sequence tag (EST) database. Subsets of 143 EST–SSRs and 768 SNPs were further used for validation and subsequent high-density genetic mapping of two intraspecific mapping populations (Lasseter × ICC3996 and S95362 × Howzat). Comparison of the linkage maps to the genome of Medicago truncatula revealed a high degree of conserved macrosynteny. Based on field evaluation of Ascochyta blight incidence performed over 2 years, two genomic regions containing resistance determinants were identified in the Lasseter × ICC3996 family. In the S95362 × Howzat population, only one quantitative trait locus (QTL) region was identified for both phenotypic evaluation trials, which on the basis of bridging markers was deduced to coincide with one of the Lasseter × ICC3996 QTLs. Of the two QTL-containing regions identified in this study, one (ab_QTL1) was predicted to be in common with QTLs identified in prior studies, while the other (ab_QTL2) may be novel. Markers in close linkage to Ascochyta blight resistance genes that have been identified in this study can be further validated and effectively implemented in chickpea breeding programs.
Michael Materne - One of the best experts on this subject based on the ideXlab platform.
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snp discovery and high density genetic mapping in faba bean vicia faba l permits identification of qtls for Ascochyta blight resistance
Plant Science, 2014Co-Authors: Sukhjiwan Kaur, Rohan B. E. Kimber, Noel O I Cogan, John W Forster, Michael Materne, J G PaullAbstract:Abstract Ascochyta blight, caused by the fungus Ascochyta fabae Speg., is a common and destructive disease of faba bean (Vicia faba L.) on a global basis. Yield losses vary from typical values of 35–40% to 90% under specific environmental conditions. Several sources of resistance have been identified and used in breeding programs. However, introgression of the resistance gene determinants into commercial cultivars as a gene pyramiding approach is reliant on selection of closely linked genetic markers. A total of 14,552 base variants were identified from a faba bean expressed sequence tag (EST) database, and were further quality assessed to obtain a set of 822 high-quality single nucleotide polymorphisms (SNPs). Sub-sets of 336 EST-derived simple sequence repeats (SSRs) and 768 SNPs were further used for high-density genetic mapping of a biparental faba bean mapping population (Icarus × Ascot) that segregates for resistance to Ascochyta blight. The linkage map spanned a total length of 1216.8 cM with 12 linkage groups (LGs) and an average marker interval distance of 2.3 cM. Comparison of map structure to the genomes of closely related legume species revealed a high degree of conserved macrosynteny, as well as some rearrangements. Based on glasshouse evaluation of Ascochyta blight resistance performed over two years, four genomic regions controlling resistance were identified on Chr-II, Chr-VI and two regions on Chr-I.A. Of these, one (QTL-3) may be identical with quantitative trait loci (QTLs) identified in prior studies, while the others (QTL-1, QTL-2 and QTL-4) may be novel. Markers in close linkage to Ascochyta blight resistance genes identified in this study can be further validated and effectively implemented in faba bean breeding programs.
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genetic marker discovery intraspecific linkage map construction and quantitative trait locus analysis of Ascochyta blight resistance in chickpea cicer arietinum l
Molecular Breeding, 2014Co-Authors: Amber Stephens, Maria Lombardi, Noel O I Cogan, John W Forster, Kristy Hobson, Michael Materne, Sukhjiwan KaurAbstract:Ascochyta blight, caused by the fungus Ascochyta rabiei (Pass.) Labr., is a highly destructive disease of chickpea (Cicer arietinum L.) on a global basis, and exhibits considerable natural variation for pathogenicity. Different sources of Ascochyta blight resistance are available within the cultivated species, suitable for pyramiding to improve field performance. Robust and closely linked genetic markers are desirable to facilitate this approach. A total of 4,654 simple sequence repeat (SSR) and 1,430 single nucleotide polymorphism (SNP) markers were identified from a chickpea expressed sequence tag (EST) database. Subsets of 143 EST–SSRs and 768 SNPs were further used for validation and subsequent high-density genetic mapping of two intraspecific mapping populations (Lasseter × ICC3996 and S95362 × Howzat). Comparison of the linkage maps to the genome of Medicago truncatula revealed a high degree of conserved macrosynteny. Based on field evaluation of Ascochyta blight incidence performed over 2 years, two genomic regions containing resistance determinants were identified in the Lasseter × ICC3996 family. In the S95362 × Howzat population, only one quantitative trait locus (QTL) region was identified for both phenotypic evaluation trials, which on the basis of bridging markers was deduced to coincide with one of the Lasseter × ICC3996 QTLs. Of the two QTL-containing regions identified in this study, one (ab_QTL1) was predicted to be in common with QTLs identified in prior studies, while the other (ab_QTL2) may be novel. Markers in close linkage to Ascochyta blight resistance genes that have been identified in this study can be further validated and effectively implemented in chickpea breeding programs.
John W Forster - One of the best experts on this subject based on the ideXlab platform.
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snp discovery and high density genetic mapping in faba bean vicia faba l permits identification of qtls for Ascochyta blight resistance
Plant Science, 2014Co-Authors: Sukhjiwan Kaur, Rohan B. E. Kimber, Noel O I Cogan, John W Forster, Michael Materne, J G PaullAbstract:Abstract Ascochyta blight, caused by the fungus Ascochyta fabae Speg., is a common and destructive disease of faba bean (Vicia faba L.) on a global basis. Yield losses vary from typical values of 35–40% to 90% under specific environmental conditions. Several sources of resistance have been identified and used in breeding programs. However, introgression of the resistance gene determinants into commercial cultivars as a gene pyramiding approach is reliant on selection of closely linked genetic markers. A total of 14,552 base variants were identified from a faba bean expressed sequence tag (EST) database, and were further quality assessed to obtain a set of 822 high-quality single nucleotide polymorphisms (SNPs). Sub-sets of 336 EST-derived simple sequence repeats (SSRs) and 768 SNPs were further used for high-density genetic mapping of a biparental faba bean mapping population (Icarus × Ascot) that segregates for resistance to Ascochyta blight. The linkage map spanned a total length of 1216.8 cM with 12 linkage groups (LGs) and an average marker interval distance of 2.3 cM. Comparison of map structure to the genomes of closely related legume species revealed a high degree of conserved macrosynteny, as well as some rearrangements. Based on glasshouse evaluation of Ascochyta blight resistance performed over two years, four genomic regions controlling resistance were identified on Chr-II, Chr-VI and two regions on Chr-I.A. Of these, one (QTL-3) may be identical with quantitative trait loci (QTLs) identified in prior studies, while the others (QTL-1, QTL-2 and QTL-4) may be novel. Markers in close linkage to Ascochyta blight resistance genes identified in this study can be further validated and effectively implemented in faba bean breeding programs.
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genetic marker discovery intraspecific linkage map construction and quantitative trait locus analysis of Ascochyta blight resistance in chickpea cicer arietinum l
Molecular Breeding, 2014Co-Authors: Amber Stephens, Maria Lombardi, Noel O I Cogan, John W Forster, Kristy Hobson, Michael Materne, Sukhjiwan KaurAbstract:Ascochyta blight, caused by the fungus Ascochyta rabiei (Pass.) Labr., is a highly destructive disease of chickpea (Cicer arietinum L.) on a global basis, and exhibits considerable natural variation for pathogenicity. Different sources of Ascochyta blight resistance are available within the cultivated species, suitable for pyramiding to improve field performance. Robust and closely linked genetic markers are desirable to facilitate this approach. A total of 4,654 simple sequence repeat (SSR) and 1,430 single nucleotide polymorphism (SNP) markers were identified from a chickpea expressed sequence tag (EST) database. Subsets of 143 EST–SSRs and 768 SNPs were further used for validation and subsequent high-density genetic mapping of two intraspecific mapping populations (Lasseter × ICC3996 and S95362 × Howzat). Comparison of the linkage maps to the genome of Medicago truncatula revealed a high degree of conserved macrosynteny. Based on field evaluation of Ascochyta blight incidence performed over 2 years, two genomic regions containing resistance determinants were identified in the Lasseter × ICC3996 family. In the S95362 × Howzat population, only one quantitative trait locus (QTL) region was identified for both phenotypic evaluation trials, which on the basis of bridging markers was deduced to coincide with one of the Lasseter × ICC3996 QTLs. Of the two QTL-containing regions identified in this study, one (ab_QTL1) was predicted to be in common with QTLs identified in prior studies, while the other (ab_QTL2) may be novel. Markers in close linkage to Ascochyta blight resistance genes that have been identified in this study can be further validated and effectively implemented in chickpea breeding programs.
