The study of traits in crops enables breeders to guide strategies for selecting and
accelerating the progress of genetic breeding. Although the simultaneous evaluation of …

In confirmatory factor analysis (CFA), model parameters are usually estimated by iteratively
minimizing the Maximum Likelihood (ML) fit function. In optimal circumstances, the ML …

The observable phenotype is the manifestation of information that is passed along different
organization levels (transcriptional, translational, and metabolic) of a biological system. The …

Abstract Machine learning and computational intelligence are rapidly emerging in plant
breeding, allowing the exploration of big data concepts and predicting the importance of …

Background Plant breeders seek to develop cultivars with maximal agronomic value, which
is often assessed using numerous, often genetically correlated traits. As intervention on one …

The animal's reaction to human handling (ie, temperament) is critical for work safety,
productivity, and welfare. Subjective phenotyping methods have been traditionally used in …

Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …

Baby chicks administered a fecal transplant from adult chickens are resistant to Salmonella
colonization by competitive exclusion. A two-pronged approach was used to investigate the …

Root system architecture (RSA) is a crucial factor in resource acquisition and plant
productivity. Roots are difficult to phenotype in the field, thus new tools for predicting …

This research investigates the relationship between Pedagogical Innovation (PED),
Curricular Adaptation (CUR), Local Wisdom Approach (LWA), and Digital Literacy (DIGLI) in …