Deregressing estimated breeding values and weighting information for genomic regression analyses.
about
Genetic variants related to gap junctions and hormone secretion influence conception rates in cowsA genome-wide association study reveals loci influencing height and other conformation traits in horsesGenome-Enabled Estimates of Additive and Nonadditive Genetic Variances and Prediction of Apple Phenotypes Across EnvironmentsThe nature, scope and impact of genomic prediction in beef cattle in the United StatesEstimates of missing heritability for complex traits in Brown Swiss cattleGenome-wide association study for birth weight in Nellore cattle points to previously described orthologous genes affecting human and bovine heightGenomic selection for fruit quality traits in apple (Malus×domestica Borkh.)Why breeding values estimated using familial data should not be used for genome-wide association studiesGenomic prediction of disease occurrence using producer-recorded health data: a comparison of methods.An Equation to Predict the Accuracy of Genomic Values by Combining Data from Multiple Traits, Populations, or Environments.Genome-wide association studies of growth traits in three dairy cattle breeds using whole-genome sequence data.Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens.Performance Gains in Genome-Wide Association Studies for Longitudinal Traits via Modeling Time-varied effects.Genetic variants in mammary development, prolactin signalling and involution pathways explain considerable variation in bovine milk production and milk composition.Concordance analysis for QTL detection in dairy cattle: a case study of leg morphology.International genomic evaluation methods for dairy cattleAccuracy of estimation of genomic breeding values in pigs using low-density genotypes and imputationTag SNP selection for prediction of tick resistance in Brazilian Braford and Hereford cattle breeds using Bayesian methodsRecombination locations and rates in beef cattle assessed from parent-offspring pairs.Genetic effects of PDGFRB and MARCH1 identified in GWAS revealing strong associations with semen production traits in Chinese Holstein bulls.High-resolution association mapping of number of teats in pigs reveals regions controlling vertebral development.Extension of the bayesian alphabet for genomic selection.Large-effect pleiotropic or closely linked QTL segregate within and across ten US cattle breeds.Improvement of prediction ability for genomic selection of dairy cattle by including dominance effectsGenome wide CNV analysis reveals additional variants associated with milk production traits in Holsteins.Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.).Selection in action: dissecting the molecular underpinnings of the increasing muscle mass of Belgian Blue CattleImproving the accuracy of genomic prediction in Chinese Holstein cattle by using one-step blendingEstimates of marker effects for measures of milk flow in the Italian brown Swiss dairy cattle population.A novel analytical method, Birth Date Selection Mapping, detects response of the Angus (Bos taurus) genome to selection on complex traitsCase-control association mapping by proxy using family history of disease.Breeding value prediction for production traits in layer chickens using pedigree or genomic relationships in a reduced animal model.Genome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approachGenome-wide association study reveals genetic architecture of eating behavior in pigs and its implications for humans obesity by comparative mapping.Stable carbon isotope discrimination is under genetic control in the C4 species maize with several genomic regions influencing trait expression.Genome-wide association and systems genetic analyses of residual feed intake, daily feed consumption, backfat and weight gain in pigsGenome-wide mapping of loci explaining variance in scrotal circumference in Nellore cattle.A combination of two variants in PRKAG3 is needed for a positive effect on meat quality in pigs.Genome-wide association study using deregressed breeding values for cryptorchidism and scrotal/inguinal hernia in two pig lines.Accounting for trait architecture in genomic predictions of US Holstein cattle using a weighted realized relationship matrix
P2860
Q24339561-C97E88D8-C751-4B98-B768-89D04DBEB5C4Q27302819-B27DEB56-3AAD-46A8-B88E-12E6E256D29EQ27347871-5D2D446A-657D-4CD0-BA7A-DEE2B7640187Q27496225-7D463E05-FAE1-4177-BB40-83B741DEF4ABQ28655031-169A24E2-1F78-4B65-89A7-ABCFB8271349Q28681381-41ABF529-F61B-4EA2-8260-EB9443F45BFAQ28730113-FDFF3102-F8C3-4899-BA43-F78AC84B4B64Q30722644-F7B163EC-E669-487E-A2EF-57E2FD80D7A9Q30946241-40E3ED62-61E3-4D79-BEB4-D0204BBA2B66Q31030312-55CFDAFF-75DF-4BCF-80DA-10AA2D5E5E0CQ31089142-D605FFC0-1196-4F39-960A-7430D5EC6DB3Q33658640-D188C787-1859-4EF5-82BD-EF80178C6BF7Q33674445-0F1A867F-C6AE-4102-984F-636F5FACC20BQ33676499-6048B4EE-6EBB-4CBF-8D31-CFC7BB1491EFQ33713077-E5E7F773-9E6D-4209-ABDB-FB1C68066F8EQ33741640-AE0E0E25-B97C-4A36-84E8-F357D92BB317Q33761684-BE60AD10-D229-45D8-BE32-BC58BE2C1322Q33801223-F64BB5AA-F78C-4237-A761-032921AA7792Q33809762-8715A3A1-91D6-421D-9B45-88750AD128A1Q33869250-FB8298B7-B604-4E79-AC43-784A13D686FAQ33883073-AC3980D9-5B7E-4066-A0FB-20B6DCBABDD7Q33909148-BE0FA377-6E1F-4D58-AF23-C4478FAB9A93Q33917276-43F2CDC7-8677-4FDB-BFE6-403C54F92E24Q33989546-F4925AA5-A5B7-4CDA-8522-E220E88CA839Q34123565-58337F21-8EE2-4818-9F19-03D890E290E9Q34137042-DFC5A835-8A26-4ABE-99B2-19CFD6596E4BQ34309991-2E387EB3-A117-4CD0-A37E-0D30A183CA9DQ34333846-4CF0EAB9-2FA8-4798-95E3-E185F4BF5D92Q34455683-9E1BEFFE-A820-4F97-81E9-0AD1E9B8983CQ34472561-354B595A-5474-4965-B0D9-043B6B9416F8Q34549400-6FD664C6-8E40-425D-BAF2-F9C0A8976BA0Q34564266-DA3224E7-FC76-4982-9B71-0445C23336B4Q34759421-F2007D7D-BA7A-4F9B-BD36-AEC4237A067FQ34971320-038440A3-4291-4BD9-A5AB-ECD3482CADC2Q35054565-5AE1866C-13F0-4708-A84A-2799BD0BAF57Q35095734-15463E35-74AC-4D53-9790-CCCD75713FDDQ35099595-FF0D18B9-79D8-4FE3-B8C3-AA8735C26DADQ35104778-13B78194-713A-47D1-A9DD-B260BA8CB510Q35201200-88970242-89A2-4709-AD90-B8E25E31726FQ35238334-0615A1B0-E9A5-42CB-9332-8F787C6EA751
P2860
Deregressing estimated breeding values and weighting information for genomic regression analyses.
description
2009 nî lūn-bûn
@nan
2009 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Deregressing estimated breedin ...... r genomic regression analyses.
@ast
Deregressing estimated breedin ...... r genomic regression analyses.
@en
type
label
Deregressing estimated breedin ...... r genomic regression analyses.
@ast
Deregressing estimated breedin ...... r genomic regression analyses.
@en
prefLabel
Deregressing estimated breedin ...... r genomic regression analyses.
@ast
Deregressing estimated breedin ...... r genomic regression analyses.
@en
P2093
P2860
P356
P1476
Deregressing estimated breedin ...... r genomic regression analyses.
@en
P2093
Dorian J Garrick
Jeremy F Taylor
Rohan L Fernando
P2860
P2888
P356
10.1186/1297-9686-41-55
P577
2009-12-31T00:00:00Z
P5875
P6179
1004549609