Person: Mondal, S.
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Mondal
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S.
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Mondal, S.
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0000-0002-8582-88996 results
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- Sparse kernel models provide optimization of training set design for genomic prediction in multiyear wheat breeding data(John Wiley & Sons Inc., 2022) Lopez-Cruz, M.; Dreisigacker, S.; Crespo Herrera, L.A.; Bentley, A.R.; Singh, R.P.; Poland, J.; Shrestha, S.; Huerta-Espino, J.; Velu, G.; Juliana, P.; Mondal, S.; Pérez-Rodríguez, P.; Crossa, J.
Publication - Implementation of genomic selection in the CIMMYT Global Wheat Program, findings from the past 10 years(Hapres, 2021) Dreisigacker, S.; Crossa, J.; Pérez-Rodríguez, P.; Montesinos-Lopez, O.A.; Rosyara, U.; Juliana, P.; Mondal, S.; Crespo Herrera, L.A.; Velu, G.; Singh, R.P.; Braun, H.J.
Publication - Incorporating genome-wide association mapping results into genomic prediction models for grain yield and yield stability in CIMMYT spring bread wheat(Frontiers, 2020) Sehgal, D.; Rosyara, U.; Mondal, S.; Singh, R.P.; Poland, J.; Dreisigacker, S.
Publication - Genomic selection for grain yield in the CIMMYT Wheat Breeding Program—status and perspectives(Frontiers, 2020) Juliana, P.; Singh, R.P.; Braun, H.J.; Huerta-Espino, J.; Crespo Herrera, L.A.; Velu, G.; Mondal, S.; Poland, J.; Shrestha, S.
Publication - Combining high-throughput phenotyping and genomic information to increase prediction and selection accuracy in wheat breeding(Crop Science Society of America, 2018) Crain, J.; Mondal, S.; Rutkoski, J.; Singh, R.P.; Poland, J.Genomics and phenomics have promised to revolutionize the field of plant breeding. The integration of these two fields has just begun and is being driven through big data by advances in next-generation sequencing and developments of field-based high-throughput phenotyping (HTP) platforms. Each year the International Maize and Wheat Improvement Center (CIMMYT) evaluates tens-of-thousands of advanced lines for grain yield across multiple environments. To evaluate how CIMMYT may utilize dynamic HTP data for genomic selection (GS), we evaluated 1170 of these advanced lines in two environments, drought (2014, 2015) and heat (2015). A portable phenotyping system called ‘Phenocart’ was used to measure normalized difference vegetation index and canopy temperature simultaneously while tagging each data point with precise GPS coordinates. For genomic profiling, genotyping-by-sequencing (GBS) was used for marker discovery and genotyping. Several GS models were evaluated utilizing the 2254 GBS markers along with over 1.1 million phenotypic observations. The physiological measurements collected by HTP, whether used as a response in multivariate models or as a covariate in univariate models, resulted in a range of 33% below to 7% above the standard univariate model. Continued advances in yield prediction models as well as increasing data generating capabilities for both genomic and phenomic data will make these selection strategies tractable for plant breeders to implement increasing the rate of genetic gain.
Publication - Harnessing diversity in wheat to enhance grain yield, climate resilience, disease and insect pest resistance and nutrition through conventional and modern breeding approaches(Frontiers, 2016) Mondal, S.; Rutkoski, J.; Velu, G.; Singh, P.K.; Crespo Herrera, L.A.; Guzman, C.; Bhavani, S.; Lan, C.; Xinyao He; Singh, R.P.Current trends in population growth and consumption patterns continue to increase the demand for wheat, a key cereal for global food security. Further, multiple abiotic challenges due to climate change and evolving pathogen and pests pose a major concern for increasing wheat production globally. Triticeae species comprising of primary, secondary, and tertiary gene pools represent a rich source of genetic diversity in wheat. The conventional breeding strategies of direct hybridization, backcrossing and selection have successfully introgressed a number of desirable traits associated with grain yield, adaptation to abiotic stresses, disease resistance, and bio-fortification of wheat varieties. However, it is time consuming to incorporate genes conferring tolerance/resistance to multiple stresses in a single wheat variety by conventional approaches due to limitations in screening methods and the lower probabilities of combining desirable alleles. Efforts on developing innovative breeding strategies, novel tools and utilizing genetic diversity for new genes/alleles are essential to improve productivity, reduce vulnerability to diseases and pests and enhance nutritional quality. New technologies of high-throughput phenotyping, genome sequencing and genomic selection are promising approaches to maximize progeny screening and selection to accelerate the genetic gains in breeding more productive varieties. Use of cisgenic techniques to transfer beneficial alleles and their combinations within related species also offer great promise especially to achieve durable rust resistance.
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