The predictive value of estimates of quantitative genetic parameters in breeding of autogamous crops

J.W. van Ooijen

Research output: Thesisinternal PhD, WU


Quantitative genetic theory provides models to predict the probability to obtain superior recombinant inbreds in the offspring of a cross between two pure breeding lines. The prediction procedure is prone to various types of error, which possibly invalidate the prediction procedure: 1) stochastic variation, 2) incorrectness of the genetic assumptions, on which the theory is founded, and 3) genotype- environment interaction, in particular intergenotypic competition. The predictive value of the procedure is evaluated by studying the effects of the individual sources of error.

Chapter 2 deals with stochastic variation; it establishes the superiority of an alternative estimator of the additive genotypic variance under most practical circumstances. Chapter 2 also presents a method to optimize the population design (number of lines, size of the lines) with respect to the accuracy of the estimator.

Chapter 3 investigates various violations of the assumptions, on which the theory is founded, such as non-normality of genotypic effects, heteroscedasticity, and fixed versus random effects.

Chapters 4 and 5 investigate the bias on the estimates of the F∞- mean and -variance, respectively, caused by intergenotypic competition.

Original languageDutch
QualificationDoctor of Philosophy
Awarding Institution
  • Parlevliet, J.E., Promotor
  • Stam, P., Promotor, External person
Award date29 Nov 1989
Place of PublicationS.l.
Publication statusPublished - 1989


  • quantitative genetics
  • plant breeding
  • methodology

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