Models for genome-wide prediction and association studies usually target a single phenotypic trait. However, in animal and plant genetics it is common to record information on multiple phenotypes for each individual that will be genotyped. Modeling traits individually disregards the fact that they are most likely associated due to pleiotropy and shared biological basis, thus providing only a pa...

Although markers identified by genome-wide association studies have individually strong statistical significance, their performance in prediction remains limited. Our goal was to use animal breeding genomic prediction models to predict additive genetic contributions for systolic blood pressure (SBP) using whole genome sequencing data with different validation designs. The additive genetic contr...

The study investigated genetic architecture and predictive ability using genomic annotation of residual feed intake (RFI) and its component traits (daily feed intake [DFI], ADG, and back fat [BF]). A total of 1,272 Duroc pigs had both genotypic and phenotypic records, and the records were split into a training (968 pigs) and a validation dataset (304 pigs) by assigning records as before and aft...

The aim of this study was to evaluate genomic information inclusion in genetic parameter estimation standardized body weight at birth and 240, 365, 450 days age, visual scores for structure, precocity, muscularity, measured as yearlings Nelore cattle. We compared parameters, (co)variance components (estimated from Bayesian inference Gibbs sampling), breeding value accuracies, trends, principal ...

Ryegrass single plants, bi-parental family pools, and multi-parental family pools are often genotyped, based on allele-frequencies using genotyping-by-sequencing (GBS) assays. GBS assays can be performed at low-coverage depth to reduce costs. However, reducing the coverage depth leads to a higher proportion of missing data, and leads to a reduction in accuracy when identifying the allele-freque...

A common type of rearing in aquaculture selective breeding programs is to keep families separate tanks until fish large enough be individually tagged. This introduces an environmental effect the members same family which can difficult disentangled from genetic effects when traditional BLUP evaluation used. The use genomic could lead a better prediction these as markers capture more accurately r...

Abstract Genetic improvement of quality traits in tea ( Camellia sinensis (L.) O. Kuntze) through conventional breeding methods has been limited, because is a difficult and expensive trait to measure. Genomic selection (GS) suitable for predicting such complex traits, as it uses genome wide markers estimate the genetic values individuals. We compared prediction accuracies six genomic models inc...

This article traces the 90-yr history and speculates on future applications of predictive breeding in maize (Zea mays L.). Predictive started 1930s when superior double-cross hybrids were identified based mean four nonparental single crosses. The advent recurrent selection 1940s led to methods predict next cycle selection. shift single-cross 1960s necessitated their performance, genomic best li...