Crop improvement is the process of developing plants with more desirable characteristics, such as higher yield, better nutritional quality, and greater resistance to pests, diseases, and environmental stress. It combines traditional approaches, including selection, hybridization, and the use of genetic diversity wit…
Crop improvement is the process of developing plants with more desirable characteristics, such as higher yield, better nutritional quality, and greater resistance to pests, diseases, and environmental stress. It combines traditional approaches, including selection, hybridization, and the use of genetic diversity within and among crop species, with modern tools such as molecular markers, genomics, and precision breeding. By enhancing the productivity and resilience of cultivated plants, crop improvement helps address food security, malnutrition, and the rising global demand for food and other plant-derived products, while supporting more sustainable agriculture in the face of challenges such as climate change and land degradation. Within this journal's focus on Plant Genetics and Crop Research, relevant work includes a study of genetic diversity and phylogenetic relationships in Assam chilli based on morphometric traits, a review of scientific and technological interventions for attaining precision in plant genetics and breeding, an agronomic review of the underutilized crop mauka, and analyses of the climate change, land degradation, and food security nexus and of strategies to improve fertilizer response and crop production. Together these illustrate how genetic characterization, breeding, and agronomy advance crop improvement. This page gathers peer-reviewed, open-access research relevant to the topic.
8 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 8 articles above have been cited 61 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
A sample of recent works citing this journal's research on Crop Improvement, linking to each citing work.