Results 11 to 20 of about 26,736 (301)

Single-step genomic BLUP with many metafounders

Frontiers in Genetics, 2022
Single-step genomic BLUP (ssGBLUP) model for routine genomic prediction of breeding values is developed intensively for many dairy cattle populations. Compatibility between the genomic (G) and the pedigree (A) relationship matrices remains an important challenge required in ssGBLUP.
Koivula, Minna, Aamand, Gert P., Strandén, Ismo, Mäntysaari, Esa, A., Kudinov, Andrei A.   +5 more
openaire   +5 more sources

Modeling missing pedigree in single-step genomic BLUP [PDF]

Journal of Dairy Science, 2019
The objective was to compare methods of modeling missing pedigree in single-step genomic BLUP (ssGBLUP). Options for modeling missing pedigree included ignoring the missing pedigree, unknown parent groups (UPG) based on A (the numerator relationship matrix) or H (the unified pedigree and genomic relationship matrix), and metafounders.
Bradford, H.L., Masuda, Y., Vanraden, P.M., Legarra, Andres, Misztal, I.   +4 more
openaire   +6 more sources

Avoiding the misuse of BLUP in behavioural ecology [PDF]

Behavioral Ecology, 2017
Having recognized that variation around the population-level "Golden Mean" of labile traits contains biologically meaningful information, behavioural ecologists have focused increasingly on exploring the causes and consequences of individual variation in behaviour.
Houslay, TM, Wilson, A
openaire   +4 more sources

Comparison of the Efficiency of BLUP and GBLUP in Genomic Prediction of Immune Traits in Chickens

Animals, 2020
: Poultry diseases pose a large threat to poultry production. Selection to improve immune traits is a feasible way to prevent and control avian diseases.
Jin Zhang, Jie Wang, Qinghe Li, Qiao Wang, Jie Wen, Guiping Zhao   +5 more
doaj   +2 more sources

Estimation of individual animal SNP-BLUP reliability using full Monte Carlo sampling

JDS Communications, 2021
Calculation of individual animal reliability of estimated genomic breeding value by SNP-BLUP requires inversion of the mixed model equations (MME). When the SNP-BLUP model includes a residual polygenic (RPG) effect, the size of the MME will be at least ...
H. Ben Zaabza, E.A. Mäntysaari, I. Strandén   +2 more
doaj   +2 more sources

Comparative Study of AMMI- and BLUP-Based Simultaneous Selection for Grain Yield and Stability of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes [PDF]

Frontiers in Plant Science, 2022
Finger millet, an orphan crop, possesses immense potential in mitigating climate change and could offer threefold security in terms of food, fodder, and nutrition.
N Anuradha, Tssk Patro, Ashok Singamsetti, Y Sandhya Rani, U Triveni, Abha Kumari, Nagappa Govanakoppa, T. Lakshmi Pathy, Vilas A. Tonapi   +8 more
openalex   +2 more sources

Performance of Bayesian and BLUP alphabets for genomic prediction: analysis, comparison and results [PDF]

Heredity, 2022
Prabina Kumar Meher, Sachin Rustgi, Anuj Kumar   +2 more
openalex   +2 more sources

Don't BLUP Twice

G3: Genes, Genomes, Genetics
James B Holland, Hans-Peter Piepho
openaire   +3 more sources

HIBLUP: an integration of statistical models on the BLUP framework for efficient genetic evaluation using big genomic data

Nucleic Acids Research, 2023
Human diseases and agricultural traits can be predicted by modeling a genetic random polygenic effect in linear mixed models. To estimate variance components and predict random effects of the model efficiently with limited computational resources has ...
Lilin Yin, Haohao Zhang, Zhenshuang Tang, Dong Yin, Yuhua Fu, Xiaohui Yuan, Xinyun Li, Xiaolei Liu, S. Zhao   +8 more
semanticscholar   +1 more source

Stability analysis and selection of sugar beet (Beta vulgaris L.) genotypes using AMMI, BLUP, GGE biplot and MTSI

Scientific Reports, 2023
The methods utilized to analyze genotype by environment interaction (GEI) and assess the stability and adaptability of genotypes are constantly changing and developing.
D. Taleghani, A. Rajabi, Ali Saremirad, P. Fasahat   +3 more
semanticscholar   +1 more source