Genetic mapping of cattle aims to identify genetic forms that are linked to quantitative trait loci (QTL) which are important for breeding purposes. Sirja Viitala charted scanned the genome of the Finnish Ayrshire cattle in the first phase of her doctoral thesis. Among the many chromosomal areas found to affect milk production, Viitala focused further on the impacts of chromosome 20.
Viitala pinpointed two genes as candidates for the effects in this chromosome and studied what influence polymorphisms in them had on milk production. A polymorphism in the gene encoding growth hormone receptor was found to have a direct impact on the dry matter content of milk. A polymorphism in the gene encoding prolactin receptor, in turn, was associated with the protein yield of milk. Patent protection has been sought for both discoveries.
The results were statistically verified using a separate data set which represents the current Finnish Ayrshire population.
Good dairy cows detected at embryo level
Besides genetic mapping, the research also developed a method for the genetic screening of bovines. The team developed a multiplication technology that allows researchers to extract enough material from a small sample to study several chromosomal areas. This way it is possible to extract a sample from an embryo without harming it, enabling researchers to determine the gender and several genes affecting milk production. The method allows researchers to select embryos containing the desired genes.
Genetic screening speeds up bovine breeding and makes it more efficient. The role of coincidence and the need to collect phenotypic data is reduced when the animals carrying the desired genes are identified very early, optimally before embryo transfer.
Ulla Jauhiainen | alfa
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The quantum world is fragile; error correction codes are needed to protect the information stored in a quantum object from the deteriorating effects of noise. Quantum physicists in Innsbruck have developed a protocol to pass quantum information between differently encoded building blocks of a future quantum computer, such as processors and memories. Scientists may use this protocol in the future to build a data bus for quantum computers. The researchers have published their work in the journal Nature Communications.
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