Results 41 to 50 of about 4,045,535 (372)

A Practical Application of Genomic Predictions for Mastitis Resistance in Italian Holstein Heifers

Animals, 2022
Heifers are a fundamental resource on farms, and their importance is reflected in both farm management and economy. Therefore, the selection of heifers to be reared on a farm should be carefully performed to select only the best animals.
Riccardo Moretti, Stefania Chessa, Stefano Sartore, Dominga Soglia, Daniele Giaccone, Francesca Tiziana Cannizzo, Paola Sacchi   +6 more
doaj   +1 more source

Selection Acting on Genomes [PDF]

, 2019
Populations evolve as mutations arise in individual organisms and, through hereditary transmission, may become "fixed" (shared by all individuals) in the population. Most mutations are lethal or have negative fitness consequences for the organism.
Kosiol, Carolin, Anisimova, Maria
openaire   +3 more sources

Trends in genetic diversity and the effect of inbreeding in American Angus cattle under genomic selection

Genetics Selection Evolution, 2021
While the adoption of genomic evaluations in livestock has increased genetic gain rates, its effects on genetic diversity and accumulation of inbreeding have raised concerns in cattle populations.
E. Lozada-Soto, C. Maltecca, D. Lu, S. Miller, J. Cole, F. Tiezzi   +5 more
semanticscholar   +1 more source

Functional Allium fistulosum Centromeres Comprise Arrays of a Long Satellite Repeat, Insertions of Retrotransposons and Chloroplast DNA

Frontiers in Plant Science, 2020
The centromere is a unique part of the chromosome combining a conserved function with an extreme variability in its DNA sequence. Most of our knowledge about the functional centromere organization is obtained from species with small and medium genome ...
Ilya Kirov, Ilya Kirov, Sergey Odintsov, Murad Omarov, Murad Omarov, Sofya Gvaramiya, Pavel Merkulov, Maxim Dudnikov, Alexey Ermolaev, Katrijn Van Laere, Alexander Soloviev, Ludmila Khrustaleva, Ludmila Khrustaleva   +12 more
doaj   +1 more source

The effect of genomic information on optimal contribution selection in livestock breeding programs [PDF]

, 2013
BACKGROUND: Long-term benefits in animal breeding programs require that increases in genetic merit be balanced with the need to maintain diversity (lost due to inbreeding). This can be achieved by using optimal contribution selection. The availability of
Clark, Samuel A, Hickey, John M, Kinghorn, Brian P, van der Werf, Julius Hj   +3 more
core   +2 more sources

Improving the efficiency of genomic selection [PDF]

Statistical Applications in Genetics and Molecular Biology, 2013
17 pages, 5 ...
Scutari, M, Mackay, I, Balding, D
openaire   +4 more sources

Genomic selection in rubber tree breeding: A comparison of models and methods for managing G×E interactions [PDF]

, 2019
Several genomic prediction models combining genotype × environment (G×E) interactions have recently been developed and used for genomic selection (GS) in plant breeding programs. G×E interactions reduce selection accuracy and limit genetic gains in plant
Francisco, Felipe O., Fritsche-Neto, Roberto, Gonçalves, Paulo De Souza, Le Guen, Vincent, Scaloppi Junior, Erivaldo José, Souza, Anete Pereira, Souza, Livia Moura   +6 more
core   +2 more sources

Effect of genomic selection on rate of inbreeding and coancestry and effective population size of Holstein and Jersey cattle populations.

Journal of Dairy Science, 2020
Genetic diversity in livestock populations is a significant contributor to the sustainability of animal production. Also, genetic diversity allows animal production to become more responsive to environmental changes and market demands.
B. Makanjuola, F. Miglior, E. Abdalla, C. Maltecca, F. Schenkel, C. Baes   +5 more
semanticscholar   +1 more source

Comparing Genomic Prediction Models by Means of Cross Validation

Frontiers in Plant Science, 2021
In the two decades of continuous development of genomic selection, a great variety of models have been proposed to make predictions from the information available in dense marker panels.
Matías F. Schrauf, Matías F. Schrauf, Gustavo de los Campos, Sebastián Munilla, Sebastián Munilla   +4 more
doaj   +1 more source

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.
Amer, P. R., Banos, G.
core   +1 more source