BREEDING AND GENETICS SYMPOSIUM: Really big data: Processing and analysis of very large data sets1
出版年份 2011 全文链接
标题
BREEDING AND GENETICS SYMPOSIUM: Really big data: Processing and analysis of very large data sets1
作者
关键词
-
出版物
JOURNAL OF ANIMAL SCIENCE
Volume 90, Issue 3, Pages 723-733
出版商
Oxford University Press (OUP)
发表日期
2011-11-19
DOI
10.2527/jas.2011-4584
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Use of the Illumina Bovine3K BeadChip in dairy genomic evaluation1
- (2012) G.R. Wiggans et al. JOURNAL OF DAIRY SCIENCE
- A genome-wide association study of direct gestation length in US Holstein and Italian Brown populations
- (2011) C. Maltecca et al. ANIMAL GENETICS
- Bias in genomic predictions for populations under selection
- (2011) Z. G. VITEZICA et al. Genetics Research
- Use of haplotypes to estimate Mendelian sampling effects and selection limits
- (2011) J.B. Cole et al. JOURNAL OF ANIMAL BREEDING AND GENETICS
- Efficient computation of the genomic relationship matrix and other matrices used in single-step evaluation
- (2011) I. Aguilar et al. JOURNAL OF ANIMAL BREEDING AND GENETICS
- A single nucleotide polymorphism-derived regulatory gene network underlying puberty in 2 tropical breeds of beef cattle1
- (2011) M. R. S. Fortes et al. JOURNAL OF ANIMAL SCIENCE
- The use of mid-infrared spectrometry to predict body energy status of Holstein cows1
- (2011) S. McParland et al. JOURNAL OF DAIRY SCIENCE
- Multiple trait genomic evaluation of conception rate in Holsteins
- (2011) I. Aguilar et al. JOURNAL OF DAIRY SCIENCE
- Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins
- (2011) S. Tsuruta et al. JOURNAL OF DAIRY SCIENCE
- The genomic evaluation system in the United States: Past, present, future
- (2011) G.R. Wiggans et al. JOURNAL OF DAIRY SCIENCE
- Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries
- (2011) H. Soyeurt et al. JOURNAL OF DAIRY SCIENCE
- Bovine Genome Database: supporting community annotation and analysis of the Bos taurus genome
- (2010) Justin T Reese et al. BMC GENOMICS
- Visualization of results from genomic evaluations
- (2010) J.B. Cole et al. JOURNAL OF DAIRY SCIENCE
- Genomic predictions for New Zealand dairy bulls and integration with national genetic evaluation
- (2010) B.L. Harris et al. JOURNAL OF DAIRY SCIENCE
- On the use of physical activity monitoring for estrus detection in dairy cows
- (2010) P. Løvendahl et al. JOURNAL OF DAIRY SCIENCE
- Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score1
- (2010) I. Aguilar et al. JOURNAL OF DAIRY SCIENCE
- Genetic association between body energy measured throughout lactation and fertility in dairy cattle
- (2009) G. Banos et al. Animal
- Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information
- (2009) I. Misztal et al. JOURNAL OF DAIRY SCIENCE
- A relationship matrix including full pedigree and genomic information
- (2009) A. Legarra et al. JOURNAL OF DAIRY SCIENCE
- Invited review: Genomic selection in dairy cattle: Progress and challenges
- (2009) B.J. Hayes et al. JOURNAL OF DAIRY SCIENCE
- Invited review: Milk protein polymorphisms in cattle: Effect on animal breeding and human nutrition
- (2009) A.M. Caroli et al. JOURNAL OF DAIRY SCIENCE
- Physiological basis for residual feed intake1
- (2008) R. M. Herd et al. JOURNAL OF ANIMAL SCIENCE
- Relationship Between Individual Herd-Heritability Estimates and Sire Misidentification Rate
- (2008) C.D. Dechow et al. JOURNAL OF DAIRY SCIENCE
- Efficient Methods to Compute Genomic Predictions
- (2008) P.M. VanRaden JOURNAL OF DAIRY SCIENCE
- Invited Review: Reliability of genomic predictions for North American Holstein bulls
- (2008) P.M. VanRaden et al. JOURNAL OF DAIRY SCIENCE
- reCAPTCHA: Human-Based Character Recognition via Web Security Measures
- (2008) Luis von Ahn et al. SCIENCE
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