Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Vanessa S. Windhausen"'
Autor:
José Crossa, Vanessa S. Windhausen, Andres Zambelli, Ky L. Mathews, Susanne Dreisigacker, Raman Babu, Sarah Hearne, Martin Grondona, Boddupalli M. Prasanna, John M. Hickey, Gregor Gorjanc
Publikováno v:
Crop Science. 54:1476-1488
Genomic selection offers great potential for increasing the rate of genetic improvement in plant breeding programs. This research used simulation to evaluate the effectiveness of dif-ferent strategies for genotyping and phenotyp-ing to enable genomic
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:
Vanessa S. Windhausen, Juan Burgueño, George Mahuku, Jill E. Cairns, Dan Makumbi, Gary Atlin, Biswajit Das, Aida Z. Kebede, Albrecht E. Melchinger, Cosmos Magorokosho, Felix San Vicente
Publikováno v:
Plant Breeding. 132:299-304
The exchange of elite breeding materials across regions is an important way in which multinational maize breeding programmes access new genetic variation, improve efficiency and reduce costs. Our objectives were to examine whether CIMMYT's breeding p
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
Autor:
Bindiganavile S. Vivek, Vanessa S. Windhausen, Cosmos Magorokosho, Albrecht E. Melchinger, Silke Wagener, Gary N. Atlin, Hans-Peter Piepho, Dan Makumbi
Publikováno v:
Crop Science. 52:2143-2152
To develop stable and high-yielding maize (Zea mays L.) hybrids for a diverse target population of environments (TPE), breeders have to decide whether greater gains result from selection across the undivided TPE or within more homogeneous subregions.