Dedicated professional specializing in cucurbits breeding with a focus on developing high-yield, disease-resistant cultivars. Expertise in R and machine learning facilitated the advancement of high-throughput AI model development at LSU AgCenter, leading to significant improvements in rice trait analysis. Proven track record of innovative genomic research at Punjab Agricultural University highlights strong analytical skills and a commitment to addressing agricultural challenges. Career aspirations include further enhancing crop quality and resilience through cutting-edge research.
Shedding Light on the Genotype x Year effect on the Genomic Selection Training Set Composition in Rice
Kashish Grover, Kajal Gupta, Adam Famoso, Brijesh Angira and Roberto Fritsche-Neto
2024 National Association for Plant Breeders, St. Louis, MI, USA
A New SNP Error Identification Tool May Improve Data Quality Of Downstream Analysis
Kajal Gupta, Kashish Grover, Brijesh Angira, Adam Famoso, Jonathan Richards and Roberto Fritsche-Neto
2024 National Association for Plant Breeders, St. Louis, MI, USA