Items where Author is "Singh, M K"

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Number of items: 7.

15 March 2016

Gaur, P M and Singh, M K and Samineni, S and Sajja, S and Jukanti, A K and Kamatam, S and Varshney, R K (2016) Inheritance of protein content and its relationships with seed size, grain yield and other traits in chickpea. Euphytica, 209. pp. 253-260. ISSN 1573-5060

22 November 2016

Roorkiwal, M and Rathore, A and Das, R R and Singh, M K and Jain, A and Samineni, S and Gaur, P M and Chellapilla, B and Tripathi, S and Li, Y and Hickey, J M and Lorenz, A and Sutton, T and Crossa, J and Jannink, J L and Varshney, R K (2016) Genome-Enabled Prediction Models for Yield Related Traits in Chickpea. Frontiers in Plant Science, 7 (1666). 01-13. ISSN 1664-462X

February 2017

Roorkiwal, M and Jarquin, D and Jain, A and Garg, V and Kale, S M and Singh, M K and Samineni, S and Gaur, P M and Rathore, A and Chellapilla, B and Tripathi, S and Crossa, J and Varshney, R K (2017) Genomic-enabled prediction model with genotype × environment interaction in elite chickpea lines. In: InterDrought-V, February 21-25, 2017, Hyderabad, India.

April 2018

Singh, J and Kumar, A and Abdul Fiyaz, R and Singh, M K (2018) Stability analysis of pigeon pea genotypes by deployment of AMMI model under rainfed environment. Legume Research (TSI), 41 (2). pp. 182-188. ISSN 0976-0571

August 2018

Roorkiwal, M and Jarquin, D and Singh, M K and Gaur, P M and Bharadwaj, C and Rathore, A and Howard, R and Srinivasan, S and Jain, A and Garg, V and Kale, S M and Chitikineni, A and Tripathi, S and Jones, E and Robbins, K R and Crossa, J and Varshney, R K (2018) Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea. Scientific Reports (TSI), 8 (1) (11701). pp. 1-11. ISSN 2045-2322

10 November 2021

Varshney, R K and Roorkiwal, M and Sun, S and Bajaj, P and Chitikineni, A and Thudi, M and Singh, N P and Du, X and Upadhyaya, H D and Khan, A W and Wang, Y and Garg, V and Fan, G and Cowling, W A and Crossa, J and Gentzbittel, L and Voss-Fels, K P and Valluri, V K and Sinha, P and Singh, V K and Ben, C and Rathore, A and Punna, R and Singh, M K and Tar’an, B and Bharadwaj, C and Yasin, M and Pithia, M S and Singh, S and Soren, K R and Kudapa, H and Jarquín, D and Cubry, P and Hickey, L T and Dixit, G P and Thuillet, A and Hamwieh, A and Kumar, S and Deokar, A A and Chaturvedi, S K and Francis, A and Howard, R and Chattopadhyay, D and Edwards, D and Lyons, E and Vigouroux, Y and Hayes, B J and Wettberg, E v and Datta, S K and Yang, H and Nguyen, H T and Wang, J and Siddique, K H M and Mohapatra, T and Bennetzen, J L and Xu, X and Liu, X (2021) A chickpea genetic variation map based on the sequencing of 3,366 genomes. Nature, 599. pp. 622-627. ISSN 1476-4687

26 August 2022

Singh, M K and Roorkiwal, M and Rathore, A and Soren, K R and Pithia, M S and Yasin, M and Barpete, S and Singh, S and Barmukh, R and Das, R R and Gangwar, P and Chetariya, C P and Joshi, P and Chaturvedi, S K and Javia, R M and Ramani, V V and Hamwieh, A and Kumar, S and Bharadwaj, C and Singh, N P and Varshney, R K (2022) Evaluation of Global Composite Collection Reveals Agronomically Superior Germplasm Accessions for Chickpea Improvement. Agronomy (TSI), 12 (9). pp. 1-30. ISSN 2073-4395

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