The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …

Predicting phenotype with genomic and environmental information is critically needed and
challenging. Machine learning methods have emerged as powerful tools to make accurate …

Phytophthora infestans is the causal agent of late blight in potato. The occurrence of P.
infestans with both A1 and A2 mating types in the field may result in sexual reproduction and …

Genomic prediction plays an increasingly important role in modern animal breeding, with
predictive accuracy being a crucial aspect. The classical linear mixed model is gradually …

As a fundamental global staple crop, rice plays a pivotal role in human nutrition and
agricultural production systems. However, its complex genetic architecture and extensive …

This study addresses defects in electrical power systems, focusing on short circuits that can
disrupt normal operation. The method emphasis is on hybrid microgrid systems connected to …

In this paper, we present an original evolutionary approach for Mycobacterium tuberculosis
lineages classification. We use a protein frequency analysis in order to transform the …

Genomic selection (GS) is a breeding technique that uses genomic markers to predict the
genetic value of crops and animals. It is an effective method to accelerate the improvement …

Understanding the relative frequencies of nucleotide base pairs in bacterial genomes is
fundamental to unraveling their genetic composition and functional attributes. To provide …

The age of big data has brought exciting opportunities to elicit new insights in many scientific
fields. In Genetics, big data-driven technologies can be transformative. Although big data …