The production of dairy, meat, and fiber by ruminant animals relies on the biological
processes occurring in soils, forage plants, and the animals' rumens. Each of these …

Machine learning techniques for crop genomic selections, especially for single-environment
plants, are well-developed. These machine learning models, which use dense genome …

Abstract Genotyping-by-Sequencing (GBS) is a low-cost, high-throughput genotyping
method that relies on restriction enzymes to reduce genome complexity. GBS is being widely …

Association mapping panels represent foundational resources for understanding the genetic
basis of phenotypic diversity and serve to advance plant breeding by exploring genetic …

Genomic prediction (GP) is now routinely performed in crop plants to predict unobserved
phenotypes. The use of predicted phenotypes to make selections is an active area of …

Vertical transmission of symbiotic Epichloë endophytes from host grasses into progeny seed
is the primary mechanism by which the next generation of plants is colonized. This process …

In perennial ryegrass (Lolium perenne L), annual and seasonal dry matter yield (DMY) and
nutritive quality of herbage are high-priority traits targeted for improvement through selective …

Lucerne (Medicago sativa L.) can enhance the economic and environmental sustainability of
crop-livestock systems in the western Mediterranean basin, but requires improved …

Breeding schemes that utilize modern breeding methods like genomic selection (GS) and
speed breeding (SB) have the potential to accelerate genetic gain for different crops. We …

Pedigree information is necessary for the maintenance of diversity for wild and captive
populations. Accurate pedigree is determined by molecular marker-based parentage …