Zobrazeno 1 - 2
of 2
pro vyhledávání: '"John M. Hickey"'
Autor:
Raman Babu, Marco A. Lopez Cruz, Semagn Kassa, Juan Burgueño, Yoseph Beyene, Paulino Pérez, José Crossa, Jean-Luc Jannink, Gustavo de los Campos, John M. Hickey, Edward S. Buckler, Charles Chen, Vanessa S. Windhausen
Publikováno v:
G3: Genes|Genomes|Genetics
Crossa, J, Beyene, Y, Kassa, S, Pérez, P, Hickey, J M, Chen, C, de Los Campos, G, Burgueño, J, Windhausen, V S, Buckler, E, Jannink, J-L, Lopez Cruz, M A & Babu, R 2013, ' Genomic Prediction in Maize Breeding Populations with Genotyping-by-Sequencing ', G3: Genes | Genomes | Genetics, vol. 3, no. 11, pp. 1903-1926 . https://doi.org/10.1534/g3.113.008227
Crossa, J, Beyene, Y, Kassa, S, Pérez, P, Hickey, J M, Chen, C, de Los Campos, G, Burgueño, J, Windhausen, V S, Buckler, E, Jannink, J-L, Lopez Cruz, M A & Babu, R 2013, ' Genomic Prediction in Maize Breeding Populations with Genotyping-by-Sequencing ', G3: Genes | Genomes | Genetics, vol. 3, no. 11, pp. 1903-1926 . https://doi.org/10.1534/g3.113.008227
Genotyping-by-sequencing (GBS) technologies have proven capacity for delivering large numbers of marker genotypes with potentially less ascertainment bias than standard single nucleotide polymorphism (SNP) arrays. Therefore, GBS has become an attract
Autor:
Amsal Tarekegne, Kassa Semagn, Vanessa S. Windhausen, Frank Technow, Babu Raman, José Crossa, John M. Hickey, Yoseph Beyene, Pichet Grudloyma, Albrecht E. Melchinger, Mark E. Sorrells, Gary Atlin, Christian Riedelsheimer, Jill E. Cairns, Jean-Luc Jannink
Publikováno v:
Windhausen, V S, Atlin, G N, Hickey, J M, Crossa, J, Jannink, J-L, Sorrells, M E, Raman, B, Cairns, J E, Tarekegne, A, Semagn, K, Beyene, Y, Grudloyma, P, Technow, F, Riedelsheimer, C & Melchinger, A E 2012, ' Effectiveness of Genomic Prediction of Maize Hybrid Performance in Different Breeding Populations and Environments ', G3: Genes | Genomes | Genetics, vol. 2, no. 11, pp. 1427-1436 . https://doi.org/10.1534/g3.112.003699
G3: Genes|Genomes|Genetics
G3: Genes|Genomes|Genetics
Genomic prediction is expected to considerably increase genetic gains by increasing selection intensity and accelerating the breeding cycle. In this study, marker effects estimated in 255 diverse maize (Zea mays L.) hybrids were used to predict grain