Since the inception of the theory and conceptual framework of genomic selection (GS),
extensive research has been done on evaluating its efficiency for utilization in crop …

Rice (Oryza sativa) provides a staple food source for more than half the world population.
However, the current pace of rice breeding in yield growth is insufficient to meet the food …

Abstract Background Productivity of cowpea [Vigna unguiculata (L.) Walp] in sub-Sahara
Africa is curtailed by a lack of farmer-preferred and improved cultivars and modern …

Main conclusion Genomic selection and its importance in crop breeding. Integration of GS
with new breeding tools and developing SOP for GS to achieve maximum genetic gain with …

Breeding for resilience to climate change requires considering adaptive traits such as plant
architecture, stomatal conductance and growth, beyond the current selection for yield …

Developing high yielding rice varieties that are tolerant to drought stress is crucial for the
sustainable livelihood of rice farmers in rainfed rice cropping ecosystems. Genomic …

After a basic description of the different sets of genetic tools and genomic approaches most
relevant for modern crop breeding (eg, QTL mapping, GWAS and genomic selection; …

Genomic selection (GS) is a statistical and breeding methodology designed to improve
genetic gain. It has proven to be successful in animal breeding; however, key points of …

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

Evidence that genomic selection (GS) is a technology that is revolutionizing plant breeding
continues to grow. However, it is very well documented that its success strongly depends on …