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Methods of Genetic Analysis for Triploid Endosperm Quality Traits for Unequal Experiment Design

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Author:
No author available
Journal Title:
JOURNAL OF BIOMATHEMATICS
Issue:
1
DOI:
10.3969/j.issn.1001-9626.2001.01.003
Key Word:
品质性状;非等试验设计;遗传分析;遗传模型;基因型×环境互作

Abstract: According to genetic model for triploid endosperms with interaction of genotype×environment proposed by Zhu Jun(1994, 1996), it had been proved by Monte Carlo Simulation that minumum norm quadratic unbiased estimation is feasible for quantitative genetic analysis of data from unequal experiment design. The results of Monte Carlo simulation indicated that the biases or power values of estimated genetic parameters did not exist significant difference between equal and unequal experiment design.Therefore, the unbalance data from unequal experiment designs could also be used as genetic analysis for estimating genetic variance components and genetic covariance components, and predicting genetic effect values.

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