نتایج جستجو برای: genomic breeding value
تعداد نتایج: 896304 فیلتر نتایج به سال:
Plant geneticists and breeders have used marker technology since the 1980s in quantitative trait locus (QTL) identification. Marker-assisted selection is effective for large-effect QTL but has been challenging to use with traits controlled by multiple minor effect alleles. Therefore, genomic (GS) was proposed estimate all markers simultaneously, thereby capturing their effects. However, breedin...
Background Growing demand for food and fiber, and a rapidly changing climate will require that plant breeders accelerate the improvement of germplasm adapted to new sources of biotic and abiotic stress. In trees, the threat from climate change is more evident and the solutions more challenging than in any other plant species, due to the complexity and cost of breeding programs, and the long bre...
Context Genomic-based technologies are allowing commercial beef producers to predict the genetic merit of individual animals unknown pedigree with increased ease and accuracy. Genomic selection tools that can accurately feedlot carcass performance steers have potential improve profitability for supply chain. Aims To validate ability Angus SteerSELECT genomic product differences in Australian st...
The main goal in animal breeding is to select individuals that have high breeding values for traits of interest as parents to produce the next generation and to do so as quickly as possible. To date, most programs rely on statistical analysis of large data bases with phenotypes on breeding populations by linear mixed model methodology to estimate breeding values on selection candidates. However...
Introgression of novel genetic variation into breeding populations is frequently required to facilitate response to new abiotic or biotic pressure. This is particularly true for the introduction of host pathogen resistance in plant breeding. However, the number and genomic location of loci contributed by donor parents are often unknown, complicating efforts to recover desired agronomic phenotyp...
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