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For linkage analysis, the double pseudo-test cross strategy was applied.
In constructing the map, the double pseudo-test cross strategy of Grattapaglia and Sederoff [ 63] was applied, using JoinMap4.0 (Kyazma).
The double pseudo-test cross strategy of Grattapaglia and Sederoff [ 29] was applied, using JoinMap® 4.0 software, during the map construction.
We tested whether a few cross strategy could succeed in rice and compared it with contemporaneous rice-breeding programmes that used the conventional many-cross approach.
The heterozygous nature of grape cultivars, makes linkage mapping to be performed in F1 populations and maps are constructed for each of the parental genotypes using a pseudo test cross strategy [ 54- 59].
With the realisation that SD markers can be used to generate genetic maps in polyploids [ 7] genetic maps were developed in sugarcane using a population of full-sib (F1) individuals (pseudo-test cross strategy) [ 8] with SD markers segregating 1 1 or by using a population created by selfing an individual and mapping SD markers segregating 3 1.
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By a crossing strategy, we successfully established stable Orco mutant lines.
Attention shifting was the fourth significant predictor, allowing pedestrians to adapt their crossing strategy to the oncoming road-traffic information.
Our initial crossing strategy involved the maintenance of both UAS-endoA* and the TM3 GAL4-Kr UAS-GFP Sbalancerer in the same flies.
A fewer-cross strategy greatly simplified the breeding scheme and saved resources.
Within realistic limits of resources, this was the best possible comparison to test the hypothesis inherent in the many-cross strategy that a programme based on few crosses, however chosen, will inevitably fail.
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