FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048366608> ?p ?o ?g. }

• W3048366608 abstract "Abstract Background Bias has been reported in genetic or genomic evaluations of several species. Common biases are systematic differences between averages of estimated and true breeding values, and their over- or under-dispersion. In addition, comparing accuracies of pedigree versus genomic predictions is a difficult task. This work proposes to analyse biases and accuracies in the genetic evaluation of milk yield in Manech Tête Rousse dairy sheep, over several years, by testing five models and using the estimators of the linear regression method. We tested models with and without genomic information [best linear unbiased prediction (BLUP) and single-step genomic BLUP (SSGBLUP)] and using three strategies to handle missing pedigree [unknown parent groups (UPG), UPG with QP transformation in the $${mathbf{H}}$$ <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML> <mml:mi>H</mml:mi> </mml:math> matrix (EUPG) and metafounders (MF)]. Methods We compared estimated breeding values (EBV) of selected rams at birth with the EBV of the same rams obtained each year from the first daughters with phenotypes up to 2017. We compared within and across models. Finally, we compared EBV at birth of the rams with and without genomic information. Results Within models, bias and over-dispersion were small (bias: 0.20 to 0.40 genetic standard deviations; slope of the dispersion: 0.95 to 0.99) except for model SSGBLUP-EUPG that presented an important over-dispersion (0.87). The estimates of accuracies confirm that the addition of genomic information increases the accuracy of EBV in young rams. The smallest bias was observed with BLUP-MF and SSGBLUP-MF. When we estimated dispersion by comparing a model with no markers to models with markers, SSGBLUP-MF showed a value close to 1, indicating that there was no problem in dispersion, whereas SSGBLUP-EUPG and SSGBLUP-UPG showed a significant under-dispersion. Another important observation was the heterogeneous behaviour of the estimates over time, which suggests that a single check could be insufficient to make a good analysis of genetic/genomic evaluations. Conclusions The addition of genomic information increases the accuracy of EBV of young rams in Manech Tête Rousse. In this population that has missing pedigrees, the use of UPG and EUPG in SSGBLUP produced bias, whereas MF yielded unbiased estimates, and we recommend its use. We also recommend assessing biases and accuracies using multiple truncation points, since these statistics are subject to random variation across years." @default.
• W3048366608 created "2020-08-18" @default.
• W3048366608 creator A5003213201 @default.
• W3048366608 creator A5013776748 @default.
• W3048366608 creator A5017121787 @default.
• W3048366608 creator A5029951723 @default.
• W3048366608 creator A5063601848 @default.
• W3048366608 creator A5088472236 @default.
• W3048366608 date "2020-08-12" @default.
• W3048366608 modified "2023-10-15" @default.
• W3048366608 title "Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups" @default.
• W3048366608 cites W1004089168 @default.
• W3048366608 cites W1916093925 @default.
• W3048366608 cites W1964595184 @default.
• W3048366608 cites W1969227236 @default.
• W3048366608 cites W1978208556 @default.
• W3048366608 cites W2007994203 @default.
• W3048366608 cites W2036156662 @default.
• W3048366608 cites W2038279432 @default.
• W3048366608 cites W2040735036 @default.
• W3048366608 cites W2046914833 @default.
• W3048366608 cites W2067715889 @default.
• W3048366608 cites W2068696160 @default.
• W3048366608 cites W2071430437 @default.
• W3048366608 cites W2076396561 @default.
• W3048366608 cites W2087934204 @default.
• W3048366608 cites W2108978337 @default.
• W3048366608 cites W2124142797 @default.
• W3048366608 cites W2130488467 @default.
• W3048366608 cites W2132327345 @default.
• W3048366608 cites W2142220815 @default.
• W3048366608 cites W2149385055 @default.
• W3048366608 cites W2150306499 @default.
• W3048366608 cites W2162851056 @default.
• W3048366608 cites W2164050502 @default.
• W3048366608 cites W2164265116 @default.
• W3048366608 cites W2323498444 @default.
• W3048366608 cites W2395745953 @default.
• W3048366608 cites W2593513855 @default.
• W3048366608 cites W2785602857 @default.
• W3048366608 cites W2789689270 @default.
• W3048366608 cites W2887355069 @default.
• W3048366608 cites W2899673678 @default.
• W3048366608 cites W2901088777 @default.
• W3048366608 cites W2910268889 @default.
• W3048366608 cites W2958731357 @default.
• W3048366608 cites W2987013644 @default.
• W3048366608 cites W2996659013 @default.
• W3048366608 cites W4241494029 @default.
• W3048366608 cites W4293258550 @default.
• W3048366608 doi "https://doi.org/10.1186/s12711-020-00567-1" @default.
• W3048366608 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7425573" @default.
• W3048366608 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32787772" @default.
• W3048366608 hasPublicationYear "2020" @default.
• W3048366608 type Work @default.
• W3048366608 sameAs 3048366608 @default.
• W3048366608 citedByCount "35" @default.
• W3048366608 countsByYear W30483666082021 @default.
• W3048366608 countsByYear W30483666082022 @default.
• W3048366608 countsByYear W30483666082023 @default.
• W3048366608 crossrefType "journal-article" @default.
• W3048366608 hasAuthorship W3048366608A5003213201 @default.
• W3048366608 hasAuthorship W3048366608A5013776748 @default.
• W3048366608 hasAuthorship W3048366608A5017121787 @default.
• W3048366608 hasAuthorship W3048366608A5029951723 @default.
• W3048366608 hasAuthorship W3048366608A5063601848 @default.
• W3048366608 hasAuthorship W3048366608A5088472236 @default.
• W3048366608 hasBestOaLocation W30483666081 @default.
• W3048366608 hasConcept C103545067 @default.
• W3048366608 hasConcept C105795698 @default.
• W3048366608 hasConcept C120665830 @default.
• W3048366608 hasConcept C121332964 @default.
• W3048366608 hasConcept C136764020 @default.
• W3048366608 hasConcept C154945302 @default.
• W3048366608 hasConcept C177562468 @default.
• W3048366608 hasConcept C185429906 @default.
• W3048366608 hasConcept C33923547 @default.
• W3048366608 hasConcept C37616216 @default.
• W3048366608 hasConcept C41008148 @default.
• W3048366608 hasConcept C81917197 @default.
• W3048366608 hasConcept C86803240 @default.
• W3048366608 hasConceptScore W3048366608C103545067 @default.
• W3048366608 hasConceptScore W3048366608C105795698 @default.
• W3048366608 hasConceptScore W3048366608C120665830 @default.
• W3048366608 hasConceptScore W3048366608C121332964 @default.
• W3048366608 hasConceptScore W3048366608C136764020 @default.
• W3048366608 hasConceptScore W3048366608C154945302 @default.
• W3048366608 hasConceptScore W3048366608C177562468 @default.
• W3048366608 hasConceptScore W3048366608C185429906 @default.
• W3048366608 hasConceptScore W3048366608C33923547 @default.
• W3048366608 hasConceptScore W3048366608C37616216 @default.
• W3048366608 hasConceptScore W3048366608C41008148 @default.
• W3048366608 hasConceptScore W3048366608C81917197 @default.
• W3048366608 hasConceptScore W3048366608C86803240 @default.
• W3048366608 hasIssue "1" @default.
• W3048366608 hasLocation W30483666081 @default.
• W3048366608 hasLocation W30483666082 @default.
• W3048366608 hasLocation W30483666083 @default.
• W3048366608 hasLocation W30483666084 @default.
• W3048366608 hasOpenAccess W3048366608 @default.

• next