Results 251 to 260 of about 83,537 (273)
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Canadian Journal of Forest Research, 1999
The idea of postblocking a trial is well known and has been used to advantage by Patterson and Hunter (1983) as a means of studying the nature of spatial variation at trial sites. A more detailed assessment of postblocking was carried out by Ainsley et al.
E.R. Williams, Y.-B. Fu
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The idea of postblocking a trial is well known and has been used to advantage by Patterson and Hunter (1983) as a means of studying the nature of spatial variation at trial sites. A more detailed assessment of postblocking was carried out by Ainsley et al.
E.R. Williams, Y.-B. Fu
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Prediction of oil palm (Elaeis guineensis, Jacq.) agronomic performances using the best linear unbiased predictor (BLUP) [PDF]
Theoretical and Applied Genetics, 2001 Reciprocal recurrent selection (RRS) has been adopted for oil palm breeding in Indonesia.Due to a long selection cycle and the large area required, a satisfactory oil palm progeny trial is difficult to conduct.Knowledge of the parental genetic parametersis very important in achieving the expected genetic progress, but the evaluation of these parameters
Purba, Abdul Razak +3 more
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Asymptotic response to selection on best linear unbiased predictors of breeding values
Animal Science, 1992AbstractFormulas were derived to predict asymptotic response to selection on best linear unbiased predictors (BLUP) of breeding values that account for selection-induced gametic phase disequilibrium, also known as the ‘Bulmer’ effect. Breeding programmes in populations of infinite size and with discrete generations were considered.
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Estimation of the best linear unbiased predictor for the mean with unequal sample sizes
Statistical Methodology, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Canadian Journal of Forest Research, 1999
was deliberately set aside for the purpose of improving breeding efficiency. Such plain, unbalanced, incomplete block designs and mixed models, as described by Ericsson (1997), do not fulfill the prerequisites needed when it comes to using the methods discussed by Williams and Fu (1999).
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was deliberately set aside for the purpose of improving breeding efficiency. Such plain, unbalanced, incomplete block designs and mixed models, as described by Ericsson (1997), do not fulfill the prerequisites needed when it comes to using the methods discussed by Williams and Fu (1999).
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Animal Science, 1976
SUMMARYThe relationship between two methods of sire evaluation (Bar-Anan and Sacks's cumulative difference method (CD) and Henderson's best linear unbiased predictor method (BLUP)) is shown. This relationship suggests a modification, with more theoretical justification, to the CD method.
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SUMMARYThe relationship between two methods of sire evaluation (Bar-Anan and Sacks's cumulative difference method (CD) and Henderson's best linear unbiased predictor method (BLUP)) is shown. This relationship suggests a modification, with more theoretical justification, to the CD method.
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Query: Sire Evaluation with Best Linear Unbiased Predictors
Biometrics, 1982Daniel Gianola +2 more
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Journal of animal science, 2016
Combining purebreed and crossbreed information is beneficial for genetic evaluation of some livestock species. Genetic evaluations can use relationships based on genomic information, relying on allele frequencies that are breed specific. Single-step genomic BLUP (ssGBLUP) does not account for different allele frequencies, which could limit the genetic ...
D A L, Lourenco +5 more
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Combining purebreed and crossbreed information is beneficial for genetic evaluation of some livestock species. Genetic evaluations can use relationships based on genomic information, relying on allele frequencies that are breed specific. Single-step genomic BLUP (ssGBLUP) does not account for different allele frequencies, which could limit the genetic ...
D A L, Lourenco +5 more
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Ethiopian Journal of Agricultural Sciences, 2016
In multi-environment trials, accurate estimation of yields in individual environments and astute choice of models to extract and display gronomically relevant signals enhance genotype evaluation and accelerate breeding progress. The objective of this study is to (i) compare patterns of genotype × environment interaction (GE) using additive main effect
Sinebo, Woldeyesus, Taye, Girma
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In multi-environment trials, accurate estimation of yields in individual environments and astute choice of models to extract and display gronomically relevant signals enhance genotype evaluation and accelerate breeding progress. The objective of this study is to (i) compare patterns of genotype × environment interaction (GE) using additive main effect
Sinebo, Woldeyesus, Taye, Girma
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D-optimal joint best linear unbiased prediction of order statistics
Metrika, 2021Narayanaswamy Balakrishnan +1 more
exaly