ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2015
Inter-block information: to recover or not to recover it?
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Integrating marker-assisted identification and multi-environment trait stability models to select superior rice restorer lines for hybrid breeding.Frontiers in plant science · 2026Article
- Probabilistic ranking of plant cultivars: stability explains differences from mean rank.Frontiers in plant science · 2025Article
- Genotypic selection and trait variation in sweet orange (Data in brief · 2024Article
- Hierarchical modelling of variance components makes analysis of resolvable incomplete block designs more efficient.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- GWAS for Early-Establishment QTLs and Their Linkage to Major Phenology-Affecting Genes (Genes · 2023Article
- Novel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- Identifying Effective Design Approaches to Allocate Genotypes in Two-Phase Designs: A Case Study inFrontiers in plant science · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
key messageComparing standard errors of treatment differences using fixed or random block effects with the approximation of Kackar and Harville helps in choosing the preferable assumption for blocks in the analysis of field experiments. Blocked designs are common in plant breeding field trials. Depending on the precision of variance estimates, recovery of inter-block information via random block effects may be worthwhile. A challenge in practice is to decide when recovery of information should be pursued. To investigate this question, a series of sugar beet trials laid out as α-designs were analysed assuming fixed or random block effects. Additionally, small trials laid out as α-designs or partially replicated designs were simulated and analysed assuming fixed or random block effects. Nine decision rules, including the Kackar-Harville adjustment, were used for choosing the better assumption regarding the block effects. In general, use of the Kackar-Harville adjustment works well and is recommended for partially replicated designs. For α-designs, using inter-block information is preferable for designs with four or more blocks.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.