Person: Miralles, D.
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Miralles
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D.
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Miralles, D.
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0000-0001-6762-2902 4 results
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- A high-yielding traits experiment for modeling potential production of wheat: field experiments and AgMIP-Wheat multi-model simulations(Wageningen Academic Publishers, 2023) Guarin, J.R.; Martre, P.; Ewert, F.; Webber, H.; Dueri, S.; Calderini, D.; Reynolds, M.P.; Molero, G.; Miralles, D.; Garcia, G.; Slafer, G.; Giunta, F.; Pequeno, D.N.L.; Stella, T.; Mukhtar Ahmed; Alderman, P.D.; Basso, B.; Berger, A.G.; Bindi, M.; Bracho-Mujica, G.; Cammarano, D.; Yi Chen; Dumont, B.; Rezaei, E.E.; Fereres, E.; Ferrise, R.; Gaiser, T.; Yujing Gao; Garcia-Vila, M.; Gayler, S.; Hochman, Z.; Hoogenboom, G.; Hunt, L.A.; Kersebaum, K.C.; Nendel, C.; Olesen, J.E.; Palosuo, T.; Priesack, E.; Pullens, J.W.M.; Rodríguez, A.; Rötter, R.P.; Ruiz Ramos, M.; Semenov, M.A.; Senapati, N.; Siebert, S.; Srivastava, A.K.; Stockle, C.; Supit, I.; Fulu Tao; Thorburn, P.J.; Wang, E.; Weber, T.K.D.; Liujun Xiao; Zhao Zhang; Chuang Zhao; Jin Zhao; Zhigan Zhao; Yan Zhu; Asseng, S.
Publication - Wheat crop traits conferring high yield potential may also improve yield stability under climate change(Oxford University Press, 2023) Stella, T.; Webber, H.; Rezaei, E.E.; Asseng, S.; Martre, P.; Dueri, S.; Guarin, J.R.; Pequeno, D.N.L.; Calderini, D.; Reynolds, M.P.; Molero, G.; Miralles, D.; Garcia, G.; Slafer, G.; Giunta, F.; Kim, Y.U.; Chenzhi Wang; Ruane, A.C.; Ewert, F.
Publication - Evidence for increasing global wheat yield potential(IOP Publishing, 2022) Guarin, J.R.; Martre, P.; Ewert, F.; Webber, H.; Dueri, S.; Calderini, D.; Reynolds, M.P.; Molero, G.; Miralles, D.; Garcia, G.; Slafer, G.; Giunta, F.; Pequeno, D.N.L.; Stella, T.; Mukhtar Ahmed; Alderman, P.D.; Basso, B.; Berger, A.G.; Bindi, M.; Bracho-Mujica, G.; Cammarano, D.; Yi Chen; Dumont, B.; Rezaei, E.E.; Fereres, E.; Ferrise, R.; Gaiser, T.; Yujing Gao; Garcia-Vila, M.; Gayler, S.; Hochman, Z.; Hoogenboom, G.; Hunt, L.A.; Kersebaum, K.C.; Nendel, C.; Olesen, J.E.; Palosuo, T.; Priesack, E.; Pullens, J.W.M.; Rodríguez, A.; Rötter, R.P.; Ruiz Ramos, M.; Semenov, M.A.; Senapati, N.; Siebert, S.; Srivastava, A.K.; Stöckle, C.; Supit, I.; Fulu Tao; Thorburn, P.J.; Wang, E.; Weber, T.K.D.; Liujun Xiao; Zhao Zhang; Chuang Zhao; Zhao, J.; Zhigan Zhao; Yan Zhu; Asseng, S.
Publication - Genetic dissection of grain size and grain number trade-offs in CIMMYT Wheat Germplasm(Public Library of Science, 2015) Griffiths, S.; Wingen, L.U.; Pietragalla, J.; García, G.; Hasan, A.K.; Miralles, D.; Calderini, D.; Jignaben Bipinchandra Ankleshwaria; Leverington Waite, M.; Simmonds, J.; Snape, J.; Reynolds, M.P.Grain weight (GW) and number per unit area of land (GN) are the primary components of grain yield in wheat. In segregating populations both yield components often show a negative correlation among themselves. Here we use a recombinant doubled haploid population of 105 individuals developed from the CIMMYT varieties Weebill and Bacanora to understand the relative contribution of these components to grain yield and their interaction with each other. Weebill was chosen for its high GW and Bacanora for high GN. The population was phenotyped in Mexico, Argentina, Chile and the UK. Two loci influencing grain yield were indicated on 1B and 7B after QTL analysis. Weebill contributed the increasing alleles. The 1B effect, which is probably caused by to the 1BL.1RS rye introgression in Bacanora, was a result of increased GN, whereas, the 7B QTL controls GW. We concluded that increased in GW from Weebill 7B allele is not accompanied by a significant reduction in grain number. The extent of the GW and GN trade-off is reduced. This makes this locus an attractive target for marker assisted selection to develop high yielding bold grain varieties like Weebill. AMMI analysis was used to show that the 7B Weebill allele appears to contribute to yield stability.
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