Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea.

MLA

Roorkiwal, Manish, et al. “Genomic-Enabled Prediction Models Using Multi-Environment Trials to Estimate the Effect of Genotype × Environment Interaction on Prediction Accuracy in Chickpea.” Scientific Reports, vol. 8, no. 1, Aug. 2018, p. 1. EBSCOhost, https://doi.org/10.1038/s41598-018-30027-2.

APA

Roorkiwal, M., Jarquin, D., Singh, M. K., Gaur, P. M., Bharadwaj, C., Rathore, A., Howard, R., Srinivasan, S., Jain, A., Garg, V., Kale, S., Chitikineni, A., Tripathi, S., Jones, E., Robbins, K. R., Crossa, J., & 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, 8(1), 1. https://doi.org/10.1038/s41598-018-30027-2

Chicago

Roorkiwal, Manish, Diego Jarquin, Muneendra K. Singh, Pooran M. Gaur, Chellapilla Bharadwaj, Abhishek Rathore, Reka Howard, et al. 2018. “Genomic-Enabled Prediction Models Using Multi-Environment Trials to Estimate the Effect of Genotype × Environment Interaction on Prediction Accuracy in Chickpea.” Scientific Reports 8 (1): 1. doi:10.1038/s41598-018-30027-2.