Abstract
A method is presented to estimate the biometric parameters of a quantitative trait locus linked to a genetic marker when both loci are segregating in the F-2 generation of a cross between two inbred lines. The method, which assumes underlying normal distributions, is a combination of maximum likelihood and moments methods and uses the statistics of the genetic marker genotype samples for the quantitative trait to estimate the recombination frequency between the two loci and the means and variances of the genotypes of the quantitative trait locus. With this method, the genetic parameters of a locus affecting plant height linked to an electrophoretic marker for esterase were accurately estimated from a sample of 1596 F-2 progeny of a cross between two species of Lycopersicon (tomato). Linkage distance between the two loci was 38 map units and the effect of the quantitative trait locus was 1.6 phenotypic standard deviation units. Accurate estimates of the genetic parameters and linkage distance for populations of 2000 individuals simulated with a segregating codominant locus with an effect of 1.63 standard deviations linked to a genetic marker with .2 recombination were also derived by this method. The method is not effective in distinguishing between complete and partial linkage in samples of only 500 individuals or for quantitative loci with effects less than a phenotypic standard deviation. The method is more effective for codominant than for dominant loci.
Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 6
Claim · model-written summary
The method accurately estimated parameters for a plant-height locus in 1596 F-2 Lycopersicon progeny.
Verbatim
e0“With this method, the genetic parameters of a locus affecting plant height linked to an electrophoretic marker for esterase were accurately estimated from a sample of 1596 F-2 progeny of a cross between two species of Lycopersicon (tomato).”
Claim · model-written summary
The plant-height locus and marker were 38 map units apart.
- Taxon
- LycopersiconSolanum subgen. Lycopersicont0
- Outcome
- Linkage distancee0
- Value
- 38 map unitse0
Verbatim
e0“Linkage distance between the two loci was 38 map units and the effect of the quantitative trait locus was 1.6 phenotypic standard deviation units.”
t0“Lycopersicon (tomato)”
Claim · model-written summary
The quantitative trait locus effect was 1.6 phenotypic standard deviation units.
- Taxon
- LycopersiconSolanum subgen. Lycopersicont0
- Outcome
- effect of the quantitative trait locuse0
- Value
- 1.6 phenotypic standard deviation unitse0
Verbatim
e0“Linkage distance between the two loci was 38 map units and the effect of the quantitative trait locus was 1.6 phenotypic standard deviation units.”
t0“Lycopersicon (tomato)”
Claim · model-written summary
The method yielded accurate parameter and linkage estimates in simulated populations of 2000 individuals.
Not reportedTaxon
Verbatim
e0“Accurate estimates of the genetic parameters and linkage distance for populations of 2000 individuals simulated with a segregating codominant locus with an effect of 1.63 standard deviations linked to a genetic marker with .2 recombination were also derived by this method.”
Claim · model-written summary
The method could not effectively distinguish complete from partial linkage with 500 individuals or loci with effects below one phenotypic standard deviation.
- Outcome
- distinguishing between complete and partial linkagee0
- Value
- 500 individualse0
- Qualifier
- effects less than a phenotypic standard deviatione0
Not reportedTaxon
Verbatim
e0“The method is not effective in distinguishing between complete and partial linkage in samples of only 500 individuals or for quantitative loci with effects less than a phenotypic standard deviation.”
Claim · model-written summary
The method was more effective for codominant than dominant loci.
Not reportedTaxon
Verbatim
e0“The method is more effective for codominant than for dominant loci.”