Results 11 to 20 of about 3,979,334 (274)

Strategies Using Genomic Selection to Increase Genetic Gain in Breeding Programs for Wheat

Frontiers in Genetics, 2020
Conventional wheat-breeding programs involve crossing parental lines and subsequent selfing of the offspring for several generations to obtain inbred lines. Such a breeding program takes more than 8 years to develop a variety.
Biructawit Bekele Tessema, Huiming Liu, Anders Christian Sørensen, Jeppe Reitan Andersen, Just Jensen   +4 more
doaj   +2 more sources

Introgression of a major QTL from an inferior into a superior population using genomic selection [PDF]

Genetics Selection Evolution, 2009
Background Selection schemes aiming at introgressing genetic material from a donor into a recipient line may be performed by backcross-breeding programs combined with selection to preserve the favourable characteristics of the donor population.
Yazdi M Hossein, Sonesson Anna K, Ødegård Jørgen, Meuwissen Theo HE   +3 more
doaj   +2 more sources

Non-additive Effects in Genomic Selection [PDF]

Frontiers in Genetics, 2018
In the last decade, genomic selection has become a standard in the genetic evaluation of livestock populations. However, most procedures for the implementation of genomic selection only consider the additive effects associated with SNP (Single Nucleotide
L. Varona, A. Legarra, M. Toro, Z. Vitezica   +3 more
semanticscholar   +9 more sources

Hydrophobic bile acids, genomic instability, Darwinian selection, and colon carcinogenesis

Clinical and Experimental Gastroenterology, 2008
Claire M Payne, Carol Bernstein, Katerina Dvorak, Harris BernsteinDepartment of Cell Biology and Anatomy, College of Medicine, University of Arizona, Tucson, Arizona, USAAbstract: Sporadic colon cancer is caused predominantly by dietary factors.
Claire M Payne, Carol Bernstein, Katerina Dvorak, Harris Bernstein   +3 more
doaj   +3 more sources

Polymorphisms associated with resistance to infectious diseases in different breeds of pigs of the Belgorod Region of Russia [PDF]

E3S Web of Conferences, 2023
Using the PCR-RFLP method, we genotyped pigs for the genes GBP1 (mutation c. [10A>G; 11A>G]), FUT1 (mutation G307A) and MUC4(A243G) associated with resistance to infectious diseases.
Snegin Eduard A., Sychev Anton A., Artemchuk Olesya Y., Barkhatov Anatoliy S., Snegina Elena A., Yusupov Sergey R., Yusupova Aleksandra Y.   +6 more
doaj   +1 more source

Low density marker‐based effectiveness and efficiency of early‐generation genomic selection relative to phenotype‐based selection in dolichos bean (Lablab purpureus L. Sweet) [PDF]

The Plant Genome
Genomic prediction has been demonstrated to be an efficient approach for the selection of candidates based on marker information in many crops. However, efforts to understand the efficiency of genomic selection over phenotype‐based selection in ...
Mugali Pundalik Kalpana, Sampangi Ramesh, Chindi Basavaraj Siddu, Gonal Basanagouda, K. Madhusudan, Hosakoti Sathish, Dinesh Sindhu, Munegowda Kemparaju, C. Anilkumar   +8 more
doaj   +2 more sources

Searching for a Needle in a Haystack: Cas9-Targeted Nanopore Sequencing and DNA Methylation Profiling of Full-Length Glutenin Genes in a Big Cereal Genome

Plants, 2021
Sequencing and epigenetic profiling of target genes in plants are important tasks with various applications ranging from marker design for plant breeding to the study of gene expression regulation.
Ilya Kirov, Ekaterina Polkhovskaya, Maxim Dudnikov, Pavel Merkulov, Anastasia Vlasova, Gennady Karlov, Alexander Soloviev   +6 more
doaj   +1 more source

Changes in genetic trends in US dairy cattle since the implementation of genomic selection.

Journal of Dairy Science, 2022
Genomic selection increases accuracy and decreases generation interval, accelerating genetic changes in populations. Assumptions of genetic improvement must be addressed to quantify the magnitude and direction of change. Genetic trends of US dairy cattle
F. Guinan, G. Wiggans, H. Norman, J. Dürr, J. Cole, C. V. Van Tassell, I. Misztal, D. Lourenço   +7 more
semanticscholar   +1 more source

A review of deep learning applications for genomic selection

BMC Genomics, 2021
Several conventional genomic Bayesian (or no Bayesian) prediction methods have been proposed including the standard additive genetic effect model for which the variance components are estimated with mixed model equations.
O. Montesinos-López, A. Montesinos-López, P. Pérez-Rodríguez, José Alberto Barrón-López, J. Martini, S. Fajardo-Flores, L. Gaytán-Lugo, P. C. Santana-Mancilla, J. Crossa   +8 more
semanticscholar   +1 more source

Genomic selection [PDF]

Journal of Animal Breeding and Genetics, 2007
SummaryGenomic selection is a form of marker‐assisted selection in which genetic markers covering the whole genome are used so that all quantitative trait loci (QTL) are in linkage disequilibrium with at least one marker. This approach has become feasible thanks to the large number of single nucleotide polymorphisms (SNP) discovered by genome ...
Goddard, M. E., Hayes, B. J.
openaire   +4 more sources