Person: Roorkiwal, M.
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Roorkiwal
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M.
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Roorkiwal, M.
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0000-0001-6595-281X 8 results
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- Celebrating Professor Rajeev K. Varshney's transformative research odyssey from genomics to the field on his induction as Fellow of the Royal Society(Wiley-Blackwell Publishing Ltd., 2024) Garg, V.; Barmukh, R.; Annapurna Chitikineni; Roorkiwal, M.; Ojiewo, C.O.; Abhishek Bohra; Thudi, M.; Singh, V.K.; Kudapa, H.; Saxena, R.K.; Fountain, J.C.; Mir, R.; Chellapilla Bharadwaj; Xiaoping Chen; Xin Liu; Pandey, M.K.
Publication - Author Correction: A chickpea genetic variation map based on the sequencing of 3,366 genomes (Nature, (2021), 599, 7886, (622-627), 10.1038/s41586-021-04066-1)(Nature Publishing Group, 2022) Varshney, R.K.; Roorkiwal, M.; Shuai Sun; Bajaj, P.; Annapurna Chitikineni; Thudi, M.; Singh, N.P.; Xiao Du; Upadhyaya, H.D.; Khan, A.W.; Yue Wang; Garg, V.; Guangyi Fan; Cowling, W.A.; Crossa, J.; Gentzbittel, L.; Voss-Fels, K.P.; Valluri, V.K.; Sinha, P.; Singh, V.K.; Ben, C.; Abhishek Rathore; Punna, R.; Muneendra K. Singh; Tar’an, B.; Chellapilla Bharadwaj; Yasin, M.; Pithia, M.S.; Singh, S.; Soren, K.R.; Kudapa, H.; Jarquin, D.; Cubry, P.; Hickey, L.; Dixit, G.P.; Thuillet, A.C.; Hamwieh, A.; Kumar, S.; Deokar, A.; Chaturvedi, S.K.; Francis, A.; Howard, R.; Chattopadhyay, D.; Edwards, D.; Lyons, E.; Vigouroux, Y.; Hayes, B.J.; Von Wettberg, E.; Datta, S.; Huanming Yang; Nguyen, H.T.; Jian Wang; Siddique, K.H.M.; Mohapatra, T.; Bennetzen, J.L.; Xun Xu; Xin Liu
Publication - A chickpea genetic variation map based on the sequencing of 3,366 genomes(Nature Publishing Group, 2021) Varshney, R.K.; Roorkiwal, M.; Shuai Sun; Bajaj, P.; Annapurna Chitikineni; Thudi, M.; Singh, N.P.; Xiao Du; Upadhyaya, H.D.; Khan, A.W.; Yue Wang; Garg, V.; Guangyi Fan; Cowling, W.A.; Crossa, J.; Gentzbittel, L.; Voss-Fels, K.P.; Valluri, V.K.; Sinha, P.; Singh, V.K.; Ben, C.; Abhishek Rathore; Punna, R.; Muneendra K. Singh; Tar’an, B.; Chellapilla Bharadwaj; Yasin, M.; Pithia, M.S.; Singh, S.; Soren, K.R.; Kudapa, H.; Jarquin, D.; Cubry, P.; Hickey, L.; Dixit, G.P.; Thuillet, A.C.; Hamwieh, A.; Kumar, S.; Deokar, A.; Chaturvedi, S.K.; Francis, A.; Howard, R.; Chattopadhyay, D.; Edwards, D.; Lyons, E.; Vigouroux, Y.; Hayes, B.J.; Von Wettberg, E.; Datta, S.; Huanming Yang; Nguyen, H.T.; Jian Wang; Siddique, K.H.M.; Mohapatra, T.; Bennetzen, J.L.; Xun Xu; Xin Liu
Publication - Fast-forward breeding for a food-secure world(Elsevier, 2021) Varshney, R.K.; Abhishek Bohra; Roorkiwal, M.; Barmukh, R.; Cowling, W.A.; Annapurna Chitikineni; Hon-Ming Lam; Hickey, L.; Croser, J.; Bayer, P.E.; Edwards, D.; Crossa, J.; Weckwerth, W.; Millar, A.H.; Kumar, A.; Bevan, M.; Siddique, K.H.M.
Publication - Breeding custom-designed crops for improved drought adaptation(Wiley, 2021) Varshney, R.K.; Barmukh, R.; Roorkiwal, M.; Yiping Qi; Kholova, J.; Tuberosa, R.; Reynolds, M.P.; Tardieu, F.; Siddique, K.H.M.
Publication - Genome-enabled prediction models for yield related traits in chickpea(Frontiers, 2016) Roorkiwal, M.; Abhishek Rathore; Das, R.R.; Muneendra K. Singh; Ankit Jain; Samineni Srinivasan; Gaur, P.; Chellapilla Bharadwaj; Tripathi, S.; Yongle Li; Hickey, J.; Lorenz, A.J.; Sutton, T.; Crossa, J.; Jannink, J.L.; Varshney, R.K.
Publication - Strategies for effective use of genomic information in crop breeding programs serving Africa and South Asia(Frontiers, 2020) Santantonio, N.; Atanda, A.S.; Beyene, Y.; Varshney, R.K.; Olsen, M.; Jones, E.; Roorkiwal, M.; Gowda, M.; Chellapilla Bharadwaj; Gaur, P.; Xuecai Zhang; Dreher, K.; Ayala Hernández, C.; Crossa, J.; Pérez-Rodríguez, P.; Abhishek Rathore; Yanxin Gao; Mccouch, S.; Robbins, K.
Publication - Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea(Nature Research, 2018) Roorkiwal, M.; Jarquin, D.; Muneendra K. Singh; Gaur, P.; Chellapilla Bharadwaj; Abhishek Rathore; Howard, R.; Samineni Srinivasan; Ankit Jain; Garg, V.; Kale, S.; Annapurna Chitikineni; Shailesh Tripathi; Jones, E.; Robbins, K.; Crossa, J.; Varshney, R.K.Genomic selection (GS) by selecting lines prior to field phenotyping using genotyping data has the potential to enhance the rate of genetic gains. Genotype × environment (G × E) interaction inclusion in GS models can improve prediction accuracy hence aid in selection of lines across target environments. Phenotypic data on 320 chickpea breeding lines for eight traits for three seasons at two locations were recorded. These lines were genotyped using DArTseq (1.6 K SNPs) and Genotyping-by-Sequencing (GBS; 89 K SNPs). Thirteen models were fitted including main effects of environment and lines, markers, and/or naïve and informed interactions to estimate prediction accuracies. Three cross-validation schemes mimicking real scenarios that breeders might encounter in the fields were considered to assess prediction accuracy of the models (CV2: incomplete field trials or sparse testing; CV1: newly developed lines; and CV0: untested environments). Maximum prediction accuracies for different traits and different models were observed with CV2. DArTseq performed better than GBS and the combined genotyping set (DArTseq and GBS) regardless of the cross validation scheme with most of the main effect marker and interaction models. Improvement of GS models and application of various genotyping platforms are key factors for obtaining accurate and precise prediction accuracies, leading to more precise selection of candidates.
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