Sentence examples for breeding errors from inspiring English sources

We identified lines with breeding errors and cousin lines generated by splitting incipient lines into two or more cousin lines at early generations of inbreeding.

This result could be explained by breeding errors (the missing founder was never present in the line), selection against a given CC founder genome, or chance.

This analysis revealed a small number of lines with breeding errors, such as missing founders, but also confirmed previous analysis showing that the founder haplotypes are inherited at expected frequencies.

Our analysis also benefits from consistency in genotyping and analyses; the MUGA genotyping platform was primarily designed as a tool to help accelerate inbreeding and detect breeding errors during the generation of the CC population.

Given that one of our main goals seeks to compare the genome composition of the final CC population to what may be expected based on the genome of the CC founders, we established a set of criteria to identify CC lines with breeding errors and to identify related lines in the CC-TAU population ("cousin" lines and sister lines of CC-TAU lines sent to UNC for MAI).

On the contrary, the use of large numbers of dams per sire in broiler chicken breeding causes standard errors to approach their theoretical minimum (Equation  4).

Evangeline Villegas and Surinder Vasal of the International Maize and Wheat Improvement Center (CIMMYT) in Mexico City used traditional trial-and-error breeding techniques to incorporate a newly discovered gene into plants that had the same yield and pest resistance as traditional strains.

But contemporary errors in breeding and overfarming also tend to loom large, while past struggles, misconceptions and disasters are forgotten.

Genomic prediction aims at reducing prediction errors at breeding age by exploiting information on the transmission of chromosome fragments from parents to selection candidates, in conjunction with knowledge on the value of every chromosome fragment.

Germplasm labeling errors have impeded breeding and confounded the interpretation of diversity analyses.

Genomic estimated breeding values and their standard errors were calculated using the single-step genomic BLUP (GBLUP) methodology of Misztal et al. (2009) which utilises an expectation-maximisation algorithm.