Reproducible results define the very core of scientific integrity in modern research. Yet,
legitimate concerns have been raised about the reproducibility of research findings, with …

Structural equation models allow causal effects between 2 or more variables to be
considered and can postulate unidirectional (recursive models; RM) or bidirectional …

The application of machine learning to agriculture is currently experiencing a “surge of
interest” from the academic community as well as practitioners from industry. This increased …

This meta-analysis aimed to identify knowledge gaps in the scientific literature on future fetal-
programming studies and to investigate the factors that determine the performance of beef …

Automated milk feeders (AMF) are an attractive option for producers interested in adopting
practices that offer greater behavioral freedom for calves and can potentially improve labor …

Understanding causal mechanisms among variables is critical to efficient management of
complex biological systems such as animal agriculture production. The increasing …

After the ban of battery cages in 1988, a welfare control programme for laying hens was
developed in Sweden. Its goal was to monitor and ensure that animal welfare was not …

Transportation losses of market-weight pigs are an animal welfare concern, and result in
direct economic impact for producers and abattoirs. Such losses are related to multiple …

Background Recursive models are a category of structural equation models that propose a
causal relationship between traits. These models are more parameterized than multiple trait …

With agriculture rapidly becoming a data-driven field, it is imperative to extract useful
information from large data collections to optimize the production systems. We compared the …