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Design and analysis of unreplicated plant breeding trials

Design and analysis of unreplicated plant breeding trials
未重复植物育种试验的设计和分析
批准号:
178695240
负责人:
Professor Dr. Hans-Peter Piepho
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2010
资助国家:
德国
项目状态:
已结题
起止时间:
2009-12-31 至 2014-12-31

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中文摘要
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英文摘要
Early generation plant breeding trials are often laid out according to unreplicated designs. Replicated checks may be used for error control, for example in augmented designs based on an incomplete block design for checks which are augmented with unreplicated entries. Traditional augmented designs require considerable resources to be spent on genotypes that are not themselves of interest. Therefore, it has been suggested to replace checks with partially replicated entries, leading to so-called prep designs. In the present proposal we suggest combining both ideas to develop what we call augmented prep designs. A non-trivial design problem arises when trials are to be performed at multiple locations. The main challenge then is how to augment the blocks so as to balance the number of pairwise concurrences. This task can be tackled in different ways based on the use (-arrays which are well-known as the basis for (-designs in fully replicated experiments. Furthermore, we also explore the refinement of designs when analysis by spatial models is envisioned. Robustness of the designs to the presence of genotype-environment interaction is also investigated.
期刊论文(2)
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会议论文
Visual Scorings of Drought Stress Intensity as Covariates for Improved Variety Trial Analysis
干旱胁迫强度的视觉评分作为改进品种试验分析的协变量
DOI: 10.1111/jac.12025
发表时间: 2013
期刊: Journal of Agronomy and Crop Science
影响因子: 3.5
作者: [Mühleisen, Maurer, Möhring, Piepho]
通讯作者: Piepho
DOI: 10.1007/s00122-014-2278-y
发表时间: 2014-05-01
期刊: THEORETICAL AND APPLIED GENETICS
影响因子: 5.4
作者: [Moehring, Jens, Williams, Emlyn R., Piepho, Hans-Peter]
通讯作者: Piepho, Hans-Peter
Optimal design and analysis for two-phase experiments with random block and treatment effects
Estimating heritability in plant breeding programs
Selecting the number of multiplicative terms in AMMI and GGE models
Linear model tools for high-throughput gene expression data
国内基金
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