A 104-post collection

The Ecological Development of C4 Plants

C4 photosynthesis is a physiological phenomenon caused by a number of anatomical and metabolic components that work together to enhance CO2 concentrations near Rubisco while decreasing photorespiration. It developed numerous times independently, and C4 plants today dominate many biomes, particularly in the tropics and subtropics. Converting a C3 plant to »

Genome Engineering for Future Agriculture

Genome editing is widely used across plant species to generate and study the impact of functional mutations in crop improvement. However, transgene integration in plant genomes raises important legislative concerns regarding genetically modified organisms.Genome editing methods have been developed to introduce precise and predictable genome modifications into plants to »

Chicken: Sharing is Caring

For the development and proper growth of the human body, the necessity of protein is immense. Among the food items supplying this essential nutrition chicken is on the most favorite and preferable list. Because of its easy availability in the market and the taste it adds to any dish chicken »

Artificial Intelligence Applications for Smart Crop Breeding

Artificial intelligence (AI) is a branch of science concerned with creating computers and robots capable of reasoning, learning, and acting in ways that would ordinarily need human intelligence or that use data on a scale that people cannot analyze. AI is used in three critical components of phenomics data management: »

Viroscope: Plant virus identification using high-throughput sequencing data

Viroscope comprises an entire RNA high-throughput (HTS) data analysis pipeline that performs read assignment, de novo assembly with reference-based mapping, and pseudo-annotation to generate VGAC metrics (Viral Genome Assembly Coverage) and viral replica identification. The Viroscope pipeline comprises two independent phases for plant virus diagnostics based on HTS data. First, »

Sustainable Agriculture: Climate Change & Technologies

The biggest global food crisis in modern history is unfolding, driven by conflict, environmental shocks, and the approaching prospect of a global recession. Hundreds of millions of people are at risk of becoming hungry. Acute food insecurity is on the rise, with at least 222 million people in 53 countries »

Mutation Mapping Approaches for Crop Improvement

MutMap (Mutation Mapping) is a recently developed efficient and cost-effective genetic approach based on high-throughput next-generation sequencing. MutMap has been used for the first time in rice to map mutations that cause leaf color change and semi-dwarf plant structure. The mutant lines mostly carry recessive mutations and such mutations do »

Marker-Assisted Backcrossing for Gene Pyramiding

Marker-assisted backcrossing (MABC), a simplified version of marker-assisted selection, is now commonly used in molecular breeding. Marker-assisted backcrossing targets one or more genes or QTLs transferred from one donor parent into another superior cultivar or genotype to improve a targeted trait. Contrary to conventional backcrossing, MABC depends on the alleles »

Role of Bioinformatics in Crop Improvement

Bioinformatics is a new and growing field that combines the power of computers, mathematical algorithms, and statistics with principles from the life sciences to solve biological problems. It is a developing multidisciplinary field of science and technology that addresses biological data collecting and warehousing, data mining, database searches, analysis and »

Speed breeding- Increasing Crop Breeding in Less Time

Speed breeding accelerates plant breeding research, allowing for quicker varietal development, traits dissection, crossing, population mapping, backcrossing, a pyramiding of multiple traits into a single genotype for the development of multiple disease resistance, and the exploration of new phenotyping possibilities for specific desired traits as well as transgenic pipelines. Speed »

Genome-Wide Association Studies (GWAS)

Genome-wide association studies (GWAS) are investigations of relatively frequent single nucleotide variations to establish their connection with a particular phenotype or with a particular clinical condition. The approach includes analyzing the genomes of several populations in search of genomic variations that are more prevalent in individuals with a certain disease »