 | Up a level |
Isha, I and Singh, S and Jha, U and Laxuman, C and Kudapa, H and Varshney, R K and Thudi, M (2024) Meta-QTL analysis enabled identification of candidate genes and haplotypes for enhancing biotic stress resistance in chickpea. Journal of Plant Biochemistry and Biotechnology. ISSN 0971-7811
Kumar, A S and Singh, Satinder and Sharma, P and Singh, I and Salaria, S and Srinivasan, S and Thudi, M and Gill, B S and Singh, Sarvjeet (2024) Identifying phosphorus use efficient genotypes by evaluating a chickpea reference set across different phosphorus regimes. Plant Genetic Resources: Characterization and Utilization (TSI). pp. 1-10. ISSN 1479-2621
Kumar, R and Sharma, V K and Rangari, S K and Jha, U C and Sahu, A and Paul, P J and Gupta, S and Gangurde, S S and Kudapa, H and Mir, R R and Gaur, P M and Varshney, R K and Elango, D and Thudi, M (2023) High confidence QTLs and key genes identified using Meta-QTL analysis for enhancing heat tolerance in chickpea (Cicer arietinum L.). Frontiers in Plant Science (TSI), 14. 01-09. ISSN 1664-462X
Naik, Y D and Zhao, C and Channale, S and Nayak, S N and Bhutia, K L and Gautam, A and Kumar, R and Niranjan, V and Shah, T M and Mott, R and Punnuri, S and Pandey, M K and Wang, X and Varshney, R K and Thudi, M (2024) Bioinformatics for Plant Genetics and Breeding Research. In: Frontier Technologies for Crop Improvement. Sustainability Sciences in Asia and Africa . Springer, Singapore, pp. 35-64. ISBN 978-981-99-4673-0