Person: Sehgal, D.
Loading...
Email Address
Birth Date
Research Projects
Organizational Units
Job Title
Last Name
Sehgal
First Name
D.
Name
Sehgal, D.
ORCID ID
0000-0002-4141-1784 10 results
Search Results
Now showing 1 - 10 of 10
- Chapter 11. Genomic insights on global journeys of adaptive wheat genes that brought us to modern wheat(Springer Cham, 2024) Sehgal, D.; Dixon, L.; Pequeno, D.N.L.; Hyles, J.; Lacey, I.; Crossa, J.; Bentley, A.R.; Dreisigacker, S.
Publication - Capturing wheat phenotypes at the genome level(Frontiers Media S.A., 2022) Hussain, B.; Akpınar, B.A.; Alaux, M.; Algharib, A.M.; Sehgal, D.; Ali, Z.; Aradottir, G.I.; Batley, J.; Bellec, A.; Bentley, A.R.; Cagirici, H.B.; Cattivelli, L.; Choulet, F.; Cockram, J.; Desiderio, F.; Devaux, P.; Dogramaci, M.; Dorado, G.; Dreisigacker, S.; Edwards, D.; El Hassouni, K.; Eversole, K.; Fahima, T.; Figueroa, M.; Gálvez, S.; Gill, K.S.; Govta, L.; Gul, A.; Hensel, G.; Hernandez, P.; Crespo Herrera, L.A.; Ibrahim, A.M.H.; Kilian, B.; Korzun, V.; Krugman, T.; Yinghui Li; Shuyu Liu; Mahmoud, A.F.; Morgounov, A.; Muslu, T.; Naseer, F.; Ordon, F.; Paux, E.; Perovic, D.; Reddy, G.V.P.; Reif, J.C.; Reynolds, M.P.; Roychowdhury, R.; Rudd, J.C.; Sen, T.Z.; Sukumaran, S.; Bahar Sogutmaz Ozdemir; Tiwari, V.K.; Ullah, N.; Unver, T.; Yazar, S.; Appels, R.; Budak, H.
Publication - Validación del QTL HAP-6A-13 asociado a peso de grano en trigos harineros de primavera(Sociedad Mexicana de Fitogenetica, 2022) Garcia Barrios, G.; Dreisigacker, S.; Sehgal, D.; Cruz-Izquierdo, S.; Lobato-Ortiz, R.; Pacheco Gil, R.A,
Publication - Genome-wide association study: a powerful approach to discover novel alleles from germplasm collections(CIMMYT, [2021]) Sehgal, D.
Publication - Wheat genomics and breeding: bridging the gap(CABI, 2021) Hussain, B.; Akpınar, B.A.; Alaux, M.; Algharib, A.M.; Sehgal, D.; Ali, Z.; Appels, R.; Aradottir, G.I.; Batley, J.; Bellec, A.; Bentley, A.R.; Cagirici, H.B.; Cattivelli, L.; Choulet, F.; Cockram, J.; Desiderio, F.; Devaux, P.; Dogramaci, M.; Dorado, G.; Dreisigacker, S.; Edwards, D.; El Hassouni, K.; Eversole, K.; Fahima, T.; Figueroa, M.; Gálvez, S.; Gill, K.S.; Govta, L.; Gul, A.; Hensel, G.; Hernandez, P.; Crespo Herrera, L.A.; Ibrahim, A.M.H.; Kilian, B.; Korzun, V.; Krugman, T.; Yinghui Li; Shuyu Liu; Mahmoud, A.F.; Morgounov, A.; Muslu, T.; Naseer, F.; Ordon, F.; Paux, E.; Perovic, D.; Reddy, G.V.P.; Reif, J.C.; Reynolds, M.P.; Roychowdhury, R.; Rudd, J.C.; Sen, T.Z.; Sukumaran, S.; Tiwari, V.K.; Ullah, N.; Unver, T.; Yazar, S.; Budak, H.
Publication - Identification of genetic loci and candidate genes related to grain zinc and iron concentration using a zinc-enriched wheat ‘Zinc-Shakti’(Frontiers, 2021) Rathan, N.D.; Sehgal, D.; Thiyagarajan, K.; Singh, R.P.; Singh, A.M.; Velu, G.
Publication - Identification of genomic regions for grain yield and yield stability and their epistatic interactions(Nature Publishing, 2017) Sehgal, D.; Autrique, E.; Singh, R.P.; Ellis, M.H.; Singh, S.; Dreisigacker, S.The task of identifying genomic regions conferring yield stability is challenging in any crop and requires large experimental data sets in conjunction with complex analytical approaches. We report findings of a first attempt to identify genomic regions with stable expression and their individual epistatic interactions for grain yield and yield stability in a large elite panel of wheat under multiple environments via a genome wide association mapping (GWAM) approach. Seven hundred and twenty lines were genotyped using genotyping-by-sequencing technology and phenotyped for grain yield and phenological traits. High gene diversity (0.250) and a moderate genetic structure (five groups) in the panel provided an excellent base for GWAM. The mixed linear model and multi-locus mixed model analyses identified key genomic regions on chromosomes 2B, 3A, 4A, 5B, 7A and 7B. Further, significant epistatic interactions were observed among loci with and without main effects that contributed to additional variation of up to 10%. Simple stepwise regression provided the most significant main effect and epistatic markers resulting in up to 20% variation for yield stability and up to 17% gain in yield with the best allelic combination.
Publication - Identification of novel quantitative trait loci linked to crown rot resistance in spring wheat(MDPI, 2018) Erginbas Orakci, G.; Sehgal, D.; Sohail, Q.; Ogbonnaya, F.C.; Dreisigacker, S.; Pariyar, S.R.; Dababat, A.A.Crown rot (CR), caused by various Fusarium species, is a major disease in many cereal-growing regions worldwide. Fusarium culmorum is one of the most important species, which can cause significant yield losses in wheat. A set of 126 advanced International Maize and Wheat Improvement Center (CIMMYT) spring bread wheat lines were phenotyped against CR for field crown, greenhouse crown and stem, and growth room crown resistance scores. Of these, 107 lines were genotyped using Diversity Array Technology (DArT) markers to identify quantitative trait loci linked to CR resistance by genome-wide association study. Results of the population structure analysis grouped the accessions into three sub-groups. Genome wide linkage disequilibrium was large and declined on average within 20 cM (centi-Morgan) in the panel. General linear model (GLM), mixed linear model (MLM), and naïve models were tested for each CR score and the best model was selected based on quarantine-quarantine plots. Three marker-trait associations (MTAs) were identified linked to CR resistance; two of these on chromosome 3B were associated with field crown scores, each explaining 11.4% of the phenotypic variation and the third MTA on chromosome 2D was associated with greenhouse stem score and explained 11.6% of the phenotypic variation. Together, these newly identified loci provide opportunity for wheat breeders to exploit in enhancing CR resistance via marker-assisted selection or deployment in genomic selection in wheat breeding programs.
Publication - Identification of genomic associations for adult plant resistance in the background of popular South Asian wheat cultivar, PBW343(Frontiers, 2016) Huihui Li; Singh, S.; Bhavani, S.; Singh, R.P.; Sehgal, D.; Basnet, B.R.; Vikram, P.; Burgueño, J.; Huerta-Espino, J.Rusts, a fungal disease as old as its host plant wheat, has caused havoc for over 8000 years. As the rust pathogens can evolve into new virulent races which quickly defeat the resistance that primarily rely on race specificity, adult plant resistance (APR) has often been found to be race non-specific and hence is considered to be a more reliable and durable strategy to combat this malady. Over decades sets of donor lines have been identified at International Maize and Wheat Improvement Center (CIMMYT) representing a wide range of APR sources in wheat. In this study, using nine donors and a common parent “PBW343,” a popular Green Revolution variety at CIMMYT, the nested association mapping (NAM) population of 1122 lines was constructed to understand the APR genetics underlying these founder lines. Thirty-four QTL were associated with APR to rusts, and 20 of 34 QTL had pleiotropic effects on SR, YR and LR resistance. Three chromosomal regions, associated with known APR genes (Sr58/Yr29/Lr46, Sr2/Yr30/Lr27, and Sr57/Yr18/Lr34), were also identified, and 13 previously reported QTL regions were validated. Of the 18 QTL first detected in this study, 7 were pleiotropic QTL, distributing on chromosomes 3A, 3B, 6B, 3D, and 6D. The present investigation revealed the genetic relationship of historical APR donor lines, the novel knowledge on APR, as well as the new analytical methodologies to facilitate the applications of NAM design in crop genetics. Results shown in this study will aid the parental selection for hybridization in wheat breeding, and envision the future rust management breeding for addressing potential threat to wheat production and food security.
Publication - A high density GBS map of bread wheat and its application for dissecting complex disease resistance traits(BioMed Central, 2015) Huihui Li; Vikram, P.; Singh, R.P.; Kilian, A.; Carling, J.; Jie Song; Burgueño, J.; Bhavani, S.; Huerta-Espino, J.; Payne, T.S.; Sehgal, D.; Wenzl, P.; Singh, S.Genotyping-by-sequencing (GBS) is a high-throughput genotyping approach that is starting to be used in several crop species, including bread wheat. Anchoring GBS tags on chromosomes is an important step towards utilizing them for wheat genetic improvement. Here we use genetic linkage mapping to construct a consensus map containing 28644 GBS markers. Results: Three RIL populations, PBW343 × Kingbird, PBW343 × Kenya Swara and PBW343 × Muu, which share a common parent, were used to minimize the impact of potential structural genomic variation on consensus-map quality. The consensus map comprised 3757 unique positions, and the average marker distance was 0.88 cM, obtained by calculating the average distance between two adjacent unique positions. Significant variation of segregation distortion was observed across the three populations. The consensus map was validated by comparing positions of known rust resistance genes, and comparing them to wheat reference genome sequences recently published by the International Wheat Genome Sequencing Consortium, Rye and Ae. tauschii genomes. Three well-characterized rust resistance genes (Sr58/Lr46/Yr29, Sr2/Yr30/Lr27, and Sr57/Lr34/Yr18) and 15 published QTLs for wheat rusts were validated with high resolution. Fifty-two per cent of GBS tags on the consensus map were successfully aligned through BLAST to the right chromosomes on the wheat reference genome sequence. Conclusion: The consensus map should provide a useful basis for analyzing genome-wide variation of complex traits. The identified genes can then be explored as genetic markers to be used in genomic applications in wheat breeding.
Publication