Person:
Mondal, S.

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Mondal
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Mondal, S.

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Now showing 1 - 3 of 3
  • Meeting the challenges facing wheat production: The strategic research agenda of the Global Wheat Initiative
    (MDPI, 2022) Langridge, P.; Alaux, M.; Almeida, N.F.; Ammar, K.; Baum, M.; Bekkaoui, F.; Bentley, A.R.; Beres, B.L.; Berger, B.; Braun, H.J.; Brown-Guedira, G.; Burt, C.J.; Caccamo, M.; Cattivelli, L.; Charmet, G.; Civáň, P.; Cloutier, S.; Cohan, J.P.; Devaux, P.; Doohan, F.M.; Dreccer, M.F.; Ferrahi, M.; German, S.E.; Goodwin, S.B.; Griffiths, S.; Guzman, C.; Handa, H.; Hawkesford, M.J.; He Zhonghu; Huttner, E.; Ikeda, T.M.; Kilian, B.; King, I.P.; King, J.; Kirkegaard, J.; Lage, J.; Gouis, J. Le; Mondal, S.; Mullins, E.; Ordon, F.; Ortiz-Monasterio, I.; Ozkan, H.; Ozturk, I.; Pereyra, S.A.; Pozniak, C.; Quesneville, H.; Quincke, M.; Rebetzke, G.J.; Reif, J.C.; Saavedra-Bravo, T.; Schurr, U.; Sharma, S.; Singh, S.K.; Singh, R.P.; Snape, J.; Tadesse, W.; Tsujimoto, H.; Tuberosa, R.; Willis, T.G.; Xueyong Zhang
    Publication
  • 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
  • Bayesian multitrait kernel methods improve multienvironment genome-based prediction
    (Oxford University Press, 2022) Montesinos-Lopez, O.A.; Montesinos-Lopez, J.C.; Montesinos-López, A.; Ramirez-Alcaraz, J.M.; Poland, J.; Singh, R.P.; Dreisigacker, S.; Crespo Herrera, L.A.; Mondal, S.; Velu, G.; Juliana, P.; Huerta-Espino, J.; Shrestha, S.; Varshney, R.K.; Crossa, J.
    Publication