FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2987013644> ?p ?o ?g. }

• W2987013644 endingPage "544" @default.
• W2987013644 startingPage "529" @default.
• W2987013644 abstract "Bias in genetic evaluations has been a constant concern in animal genetics. The interest in this topic has increased in the last years, since many studies have detected overestimation (bias) in estimated breeding values (EBV). Detecting the existence of bias, and the realized accuracy of predictions, is therefore of importance, yet this is difficult when studying small data sets or breeds. In this study, we tested by simulation the recently presented method Linear Regression (LR) for estimation of bias, slope, and accuracy of pedigree EBV. The LR method computes statistics by comparing EBV from a data set containing old, partial information with EBV from a data set containing all information (old and new, a whole data set) for the same individuals. The method proposes an estimator for bias (Δpˆ), an estimator of slope (bpˆ), and 3 estimators related to accuracies: the ratio between accuracies (bw,pˆ), the reliability of the partial data set (accp2ˆ), and the ratio of reliabilities (ρp,w2ˆ). We simulated a dairy scheme for low (0.10) and moderate (0.30) heritabilities. In both cases, we checked the behavior of the estimators for 3 scenarios: (1) when the evaluation model is the same as the model used to simulate the data; (2) when the evaluation model uses an incorrect heritability; and (3) when the data includes an environmental trend. For scenarios in which the evaluation model was correct, the LR method was capable of correctly estimating bias, slope, and accuracies, with better performance for higher heritability [i.e., corr(bp,bpˆ) was 0.45 for h2 = 0.10 and 0.59 for h2 = 0.30]. In cases of the use of incorrect heritabilities in the evaluation model, the bias was correctly estimated in direction but not in magnitude. In the same way, the magnitudes of bias and of slope were underestimated in scenarios with environmental trends in data, except for cases in which contemporary groups were random and greatly shrunken. In general, accuracies were well estimated in all scenarios. The LR method is capable of checking bias and accuracy in all cases, if the evaluation model is reasonably correct or robust, and its estimations are more precise with more information (e.g., high heritability). If the model uses an incorrect heritability or a hidden trend exists in the data, it is still possible to estimate the direction and existence of bias and slope but not always their magnitudes." @default.
• W2987013644 created "2019-11-22" @default.
• W2987013644 creator A5003213201 @default.
• W2987013644 creator A5029951723 @default.
• W2987013644 creator A5074319488 @default.
• W2987013644 date "2020-01-01" @default.
• W2987013644 modified "2023-10-15" @default.
• W2987013644 title "Behavior of the Linear Regression method to estimate bias and accuracies with correct and incorrect genetic evaluation models" @default.
• W2987013644 cites W1502338185 @default.
• W2987013644 cites W1916093925 @default.
• W2987013644 cites W1978208556 @default.
• W2987013644 cites W1994540986 @default.
• W2987013644 cites W1995827139 @default.
• W2987013644 cites W2040735036 @default.
• W2987013644 cites W2076396561 @default.
• W2987013644 cites W2087934204 @default.
• W2987013644 cites W2134772616 @default.
• W2987013644 cites W2145591754 @default.
• W2987013644 cites W2158376448 @default.
• W2987013644 cites W2408305149 @default.
• W2987013644 cites W2416610161 @default.
• W2987013644 cites W2553232847 @default.
• W2987013644 cites W2615885285 @default.
• W2987013644 cites W2777046204 @default.
• W2987013644 cites W2899673678 @default.
• W2987013644 cites W4293258550 @default.
• W2987013644 doi "https://doi.org/10.3168/jds.2019-16603" @default.
• W2987013644 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31704008" @default.
• W2987013644 hasPublicationYear "2020" @default.
• W2987013644 type Work @default.
• W2987013644 sameAs 2987013644 @default.
• W2987013644 citedByCount "27" @default.
• W2987013644 countsByYear W29870136442020 @default.
• W2987013644 countsByYear W29870136442021 @default.
• W2987013644 countsByYear W29870136442022 @default.
• W2987013644 countsByYear W29870136442023 @default.
• W2987013644 crossrefType "journal-article" @default.
• W2987013644 hasAuthorship W2987013644A5003213201 @default.
• W2987013644 hasAuthorship W2987013644A5029951723 @default.
• W2987013644 hasAuthorship W2987013644A5074319488 @default.
• W2987013644 hasBestOaLocation W29870136441 @default.
• W2987013644 hasConcept C105795698 @default.
• W2987013644 hasConcept C121332964 @default.
• W2987013644 hasConcept C161890455 @default.
• W2987013644 hasConcept C163258240 @default.
• W2987013644 hasConcept C177264268 @default.
• W2987013644 hasConcept C185429906 @default.
• W2987013644 hasConcept C199360897 @default.
• W2987013644 hasConcept C33923547 @default.
• W2987013644 hasConcept C41008148 @default.
• W2987013644 hasConcept C43214815 @default.
• W2987013644 hasConcept C48921125 @default.
• W2987013644 hasConcept C54355233 @default.
• W2987013644 hasConcept C58489278 @default.
• W2987013644 hasConcept C62520636 @default.
• W2987013644 hasConcept C83546350 @default.
• W2987013644 hasConcept C86803240 @default.
• W2987013644 hasConceptScore W2987013644C105795698 @default.
• W2987013644 hasConceptScore W2987013644C121332964 @default.
• W2987013644 hasConceptScore W2987013644C161890455 @default.
• W2987013644 hasConceptScore W2987013644C163258240 @default.
• W2987013644 hasConceptScore W2987013644C177264268 @default.
• W2987013644 hasConceptScore W2987013644C185429906 @default.
• W2987013644 hasConceptScore W2987013644C199360897 @default.
• W2987013644 hasConceptScore W2987013644C33923547 @default.
• W2987013644 hasConceptScore W2987013644C41008148 @default.
• W2987013644 hasConceptScore W2987013644C43214815 @default.
• W2987013644 hasConceptScore W2987013644C48921125 @default.
• W2987013644 hasConceptScore W2987013644C54355233 @default.
• W2987013644 hasConceptScore W2987013644C58489278 @default.
• W2987013644 hasConceptScore W2987013644C62520636 @default.
• W2987013644 hasConceptScore W2987013644C83546350 @default.
• W2987013644 hasConceptScore W2987013644C86803240 @default.
• W2987013644 hasIssue "1" @default.
• W2987013644 hasLocation W29870136441 @default.
• W2987013644 hasLocation W29870136442 @default.
• W2987013644 hasLocation W29870136443 @default.
• W2987013644 hasLocation W29870136444 @default.
• W2987013644 hasLocation W29870136445 @default.
• W2987013644 hasOpenAccess W2987013644 @default.
• W2987013644 hasPrimaryLocation W29870136441 @default.
• W2987013644 hasRelatedWork W1903055531 @default.
• W2987013644 hasRelatedWork W1967267633 @default.
• W2987013644 hasRelatedWork W2072090478 @default.
• W2987013644 hasRelatedWork W2168585428 @default.
• W2987013644 hasRelatedWork W2319615168 @default.
• W2987013644 hasRelatedWork W2330836630 @default.
• W2987013644 hasRelatedWork W2360629477 @default.
• W2987013644 hasRelatedWork W2387185921 @default.
• W2987013644 hasRelatedWork W3122861356 @default.
• W2987013644 hasRelatedWork W4378714989 @default.
• W2987013644 hasVolume "103" @default.
• W2987013644 isParatext "false" @default.
• W2987013644 isRetracted "false" @default.
• W2987013644 magId "2987013644" @default.
• W2987013644 workType "article" @default.