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1 Ergebnisse
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QTL and genomic prediction accuracy for grain yield and sec..:
Neiff, Nicolás
;
González Perez, Lorena
;
Mendoza Lugo, Jose Alberto
...
Neiff, N., González Pérez, L., Mendoza Lugo, J.A., Martínez, C., Kettler, B.A., Dhliwayo, T., Babu, R. and Trachsel, S. 2022. QTL and genomic prediction accuracy for grain yield and secondary traits in a maize population under heat and heat-drought stresses. Journal of Crop Improvement, 1–26.. , 2023
Link:
https://hdl.handle.net/10568/127591
RT Journal T1 <Title>QTL and genomic prediction accuracy for grain yield and secondary traits in a maize population under heat and heat-drought stresses</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftcgiar:oai:cgspace.cgiar.org:10568_127591&Exemplar=1&LAN=DE A1 Neiff, Nicolás A1 González Perez, Lorena A1 Mendoza Lugo, Jose Alberto A1 Martínez, Carlos A1 Kettler, Belén Araceli A1 Dhliwayo, Thanda A1 Babu, Raman A1 Trachsel, Samuel PB Informa UK Limited YR 2023 K1 maize K1 climate change K1 doubled haploids K1 plant breeding K1 drought stress JF Neiff, N., González Pérez, L., Mendoza Lugo, J.A., Martínez, C., Kettler, B.A., Dhliwayo, T., Babu, R. and Trachsel, S. 2022. QTL and genomic prediction accuracy for grain yield and secondary traits in a maize population under heat and heat-drought stresses. Journal of Crop Improvement, 1–26. LK http://dx.doi.org/https://hdl.handle.net/10568/127591 DO https://hdl.handle.net/10568/127591 SF ELIB - SuUB Bremen
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