Genetic control of complex traits, with a focus on reproduction in pigs.
Louisa J ZakAnn Helen GaustadAlfonso BolarinMarleen L W J BroekhuijseGrant A WallingEgbert F KnolPublished in: Molecular reproduction and development (2017)
Reproductive traits are complex, and desirable reproductive phenotypes, such as litter size or semen quality, are true polygenetic traits determined by multiple gene regulatory pathways. Each individual gene contributes to the overall variation in these traits, so genetic improvements can be achieved using conventional selection methodology. In the past, a pedigree-based-relationship matrix was used; this is now replaced by a combination of pedigree-based- and genomic-relationship matrices. The heritability of reproductive traits is low to moderate, so large-scale data recording is required to identify specific, selectable attributes. Male reproductive traits-including ejaculate volume and sperm progressive motility-are moderately heritable, and could be used in selection programs. A few high-merit artificial-insemination boars can impact many sow populations, so additional knowledge about male reproduction-specifically pre-pubertal detection of infertility and the technologies of semen cryopreservation and sex sorting-should further improve global breeding efforts. Conversely, female pig reproduction is currently a limiting factor of genetic improvement. Litter size and farrowing interval are the main obstacles to increasing selection intensity and to reducing generation interval in a breeding program. Age at puberty and weaning-to-estrus interval can be selected for, thereby reducing the number of non-productive days. The number of piglets born alive and litter weights are also reliably influenced by genetic selection. Characterization of genotype-environment interactions will provide opportunities to match genetics to specific farm systems. Continued investment to understand physiological models for improved phenotyping and the development of technologies to facilitate pig embryo production for genetic selection are warranted to ensure optimal breeding in future generations.
Keyphrases
- genome wide
- copy number
- dna methylation
- quality improvement
- public health
- multiple sclerosis
- healthcare
- gene expression
- type diabetes
- high intensity
- escherichia coli
- machine learning
- big data
- skeletal muscle
- intensive care unit
- pregnant women
- adipose tissue
- preterm infants
- gestational age
- cystic fibrosis
- mechanical ventilation
- sensitive detection
- polycystic ovary syndrome
- loop mediated isothermal amplification