Results 21 to 30 of about 3,428,811 (256)

Implications of avoiding overlap between training and testing data sets when evaluating genomic predictions of genetic merit [PDF]

, 2010
The aim of this study was to evaluate and quantify the importance of avoiding overlap between training and testing subsets of data when evaluating the effectiveness of predictions of genetic merit based on genetic markers.
G. Banos, Amer, P. R., P.R. Amer, Banos, G.   +3 more
core   +1 more source

Identification of Genomic Regions Associated with Phenotypic Variation between Dog Breeds using Selection Mapping [PDF]

, 2011
The extraordinary phenotypic diversity of dog breeds has been sculpted by a unique population history accompanied by selection for novel and desirable traits.
Derrien, Thomas, Tove Fall, Battaille, Géraldine, Lequarre, Anne Sophie, Ratnakumar, Abhirami, Quilez, Javier, Vaysse Amaury, Eija H. Seppälä, Hansen, Mark, H., Lawley, Cindy T, Hannes Lohi, Ahonen, Saija, Seppälä Eija H., Sundberg, Katarina, Webster, Matthew Thomas,, Matthew T Webster, Hedhammar, A., Francis Galibert, Carles Vilà, Sargan, David, Farnir, Frédéric, Snaevar Sigurdsson, Hansson, Jeanette, Kyöstilä, Kaisa, Höglund, Katja, Rosengren Pielberg, Gerli, Lawley, C.T., Rothwell, Simon, Meadows, Jennifer, Kerstin Lindblad-Toh, Lathrop, Mark, null null, Galibert Francis, Hansen Mark S. T., Copeland-Stephenson, Hannah, Karlsson, E K, Aguirre-Hernandez, Jesus, Lindblad-Toh Kerstin, Galibert, Francis, Kierczak, Marcin, Catherine André, Karlsson, Elinor, K., Dukes-McEwan, Joanna, Philipp, Ute, Axelsson Erik, Millar, Kate, Vaysse, A., Owczarek-Lipska, Marta, Elinor K. Karlsson, Axelsson, Erik, Hansen, Mark S. T., Barrio, Álvaro Martínez, Seppälä, E.H., Fall, Tove, Bannasch, Danika, Melin, Malin, Rosengren Pielberg, G, Georges, Michel, Storengen, Linn Mari, Cindy T. Lawley, Wolf, Johanna, Kämpe, Olle, Peeters, Dominique, Gouni, Vassiliki, Bannasch, D, Andersson, Göran, Ake Hedhammar, Fieten, Hille, Dahlgren, Stina, Jens Häggström, Sigurdsson, Snaevar, Lingaas, Frode, Karlsson, Elinor K., Sigurdsson Snaevar, Sigurdsson, S., Hytönen, Marjo, Mogensen, Mette Sloth, Thomas, Anne, Lindblad-Toh, Kerstin, Massey, Jonathan, Axelsson, E., Momozawa, Yukihide, Sigurdsson, S, Fredholm Merete, Hansen, Mark S T, Danika Bannasch, Fall, Tove,, Pamplona, Marilou Ramos, Häggström, J, Rosengren Pielberg, Gerli,, Seppälä, E H, Vilà, Carles, Ratnakumar, A, Abhirami Ratnakumar, Lohi Hannes, Ahlgren, Kerstin, Vilà, Carles, Webster, M T, Erik Axelsson, Leegwater, Peter, Starkey, Mike, Quinnell, Rupert J, Mark S. T. Hansen, Derrien Thomas, Axelsson, Erik,, Andersson, Leif, Björnerfeldt, Susanne, Lohi, Hannes, Mark S T Hansen, Bannasch Danika, Leeb, Tosso, Ratnakumar Abhirami, Karlsson Elinor K., Karlsson, Elinor, LUPA Consortium, Boerkamp, Kim, Pielberg, Gerli Rosengren, Bannasch, Danika L., Hendricks, Anke, Ratnakumar, A., Webster, M.T., Derrien, T, Van Steenbeek, Frank, Hansen, M.S.T., Vaysse, Amaury, Faust, Nathalie, Häggström Jens, Hedhammar, A, Arendt, Maja, Bannasch, D., Vilà, C, Ratnakumar, Abhirami,, Elinor K, André, Catherine, Courtay-Cahen, Celine, Lohi, H., Eija H Seppälä, Elinor K Karlsson, Matthew T. Webster, Clercx, Cécile, Zelenika, Diana, Karlsson, Elinor K, Häggström, Jens, Bonastre, Armand Sánchez, Pielberg, G.R., Karlsson, E.K., Vaysse, A, Galibert, F., Webster, Matthew Thomas, Lohi, H, Hansen, M S, Hitte, C., Vaysse, Amaury, Hansen, Mark S.T., Hitte Christophe, Rutteman, Gerard, Hitte, Christophe, Lawley, C T, Wiik, Caroline, Fall, T, Ollier, William, André Catherine, Fredholm, M., Lawley, Cindy, T., Thomas Derrien, Cindy T Lawley, André, C, Boland, Anne, Lawley, Cindy T., Madsen, Majbritt Busk, Vilà Carles, Druet, Tom, Gerli Rosengren Pielberg, Lindblad-Toh, K, Christophe Hitte, Rosengren Pielberg Gerli, Nevalainen, Elisa, Amaury Vaysse, Fall Tove, Nolan, Catherine, Tengvall, Katarina, Callanan, Sean, Webster Matthew T., Seppälä, Eija H., Ljungvall, Ingrid, Johansson, Cecilia, Fredholm, Merete, Derrien, T., Lindblad-Toh, Kerstin,, Gustafsson, Susanne, Axelsson, E, Merveille, Anne Christine, Fall, T., Haggstrom, J., Mellersh, Cathryn, Webster, Matthew T., Webster, Matthew, T., Lawley Cindy T., Andre, C., Tiret, Laurent, Kennedy, Lorna; id_orcid, Hansen, M.S., Favrot, Claude, Seppälä, Eija, H., Hedhammar, Åke, Galibert, F, Chetboul, Valérie, Merete Fredholm, Hitte, C, Fredholm, M, Carlborg, Örjan, Wess, Gerhard, Catchpole, Brian, Lindblad-Toh, Kerstin, Seppälä, Eija H, Hedhammar Åke, Hansen, Mark,, Karlsson, Elinor,, Webster, Matthew,, Hansen, MST, Häggström, Jens,, Lawley, Cindy,, Lawley, CT, Seppälä, Eija,, Sveriges lantbruksuniversitet., Hedhammar, Åke,, Fall, T,, Pielberg, GR, Seppala, EH, André, Catherine,, Sigurdsson, Snaevar,, Hitte, Christophe,, The Lupa Consortium   +232 more
core   +1 more source

Genetic control of tomato fruit quality: from QTL mapping to Genome Wide Association studies and breeding

Comptes Rendus Biologies, 2022
Consumers began to complain about the taste of tomato varieties in the late 1990’s. Although tomato taste is influenced by environmental and post-harvest conditions, varieties show a large diversity for fruit quality traits. We herein review our past and
Causse, Mathilde, Bénéjam, Juliette, Bineau, Estelle, Bitton, Frédérique, Brault, Marie, Carretero, Yolande, Desaint, Henri, Hereil, Alexandre, Pellegrino, Karine, Pelpoir, Esther, Zhao, Jiantao   +10 more
doaj   +1 more source

The long-term effects of genomic selection: 1. Response to selection, additive genetic variance, and genetic architecture

Genetics Selection Evolution, 2022
Background Genomic selection has revolutionized genetic improvement in animals and plants, but little is known about its long-term effects. Here, we investigated the long-term effects of genomic selection on response to selection, genetic variance, and ...
Yvonne C. J. Wientjes, Piter Bijma, Mario P. L. Calus, Bas J. Zwaan, Zulma G. Vitezica, Joost van den Heuvel   +5 more
doaj   +1 more source

Genomic selection in white lupin [PDF]

, 2019
Genomic selection in white ...
Ferrari, Barbara, Nazzicari, Nelson, Annicchiarico, Paolo   +2 more
core   +3 more sources

A low-coverage skim-sequencing and imputation pipeline for genomic selection. [PDF]

Plant Genome
Genomic selection (GS) can accelerate plant breeding gains by reducing breeding cycle times, reducing phenotyping costs, or improving selection accuracy.
Sthapit SR, Crain J, Larson S, Anderson JA, Bajgain P, DeHaan LR, Poland J.   +6 more
europepmc   +2 more sources

Heterosis and Hybrid Crop Breeding: A Multidisciplinary Review

Frontiers in Genetics, 2021
Although hybrid crop varieties are among the most popular agricultural innovations, the rationale for hybrid crop breeding is sometimes misunderstood. Hybrid breeding is slower and more resource-intensive than inbred breeding, but it allows systematic ...
Marlee R. Labroo, Anthony J. Studer, Jessica E. Rutkoski   +2 more
doaj   +1 more source

A simulation framework for reciprocal recurrent selection-based hybrid breeding under transparent and opaque simulators

Frontiers in Plant Science, 2023
Hybrid breeding is an established and effective process to improve offspring performance, while it is resource-intensive and time-consuming for the recurrent process in reality.
Zerui Zhang, Zerui Zhang, Zerui Zhang, Lizhi Wang, Lizhi Wang   +4 more
doaj   +1 more source

Genome-Wide Association Analysis Dissects the Genetic Architecture of Maize Leaf Inclination Angle and Leaf Area Index

Agronomy
Leaf inclination angle (LIA) and leaf area index (LAI) are important components of crop population canopy structure, which affect population photosynthetic production via altering canopy light interception and transmittance, and gas diffusion.
Meiling Liu, Ke Ding, Xinru Dong, Shuwen Ji, Xinying Kong, Daqiu Sun, Huigang Chen, Yuan Gao, Cong Li, Chunming Bai, Ao Zhang, Yanye Ruan   +11 more
doaj   +1 more source

Accuracy of genomic breeding value prediction for intramuscular fat using different genomic relationship matrices in Hanwoo (Korean cattle) [PDF]

Asian-Australasian Journal of Animal Sciences, 2017
Objective Intramuscular fat is one of the meat quality traits that is considered in the selection strategies for Hanwoo (Korean cattle). Different methods are used to estimate the breeding value of selection candidates.
Taejeong Choi, Dajeong Lim, Byoungho Park, Aditi Sharma, Jong-Joo Kim, Sidong Kim, Seung Hwan Lee   +6 more
doaj   +1 more source