Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea
Tipo:
Título:
Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea
Autor:
Roorkiwal, M.;
Jarquín, D.;
Muneendra K. Singh;
Pooran M. Gaur;
Chellapilla Bharadwaj;
Rathore, A.;
Howard, R.;
Samineni Srinivasan;
Ankit Jain;
Garg, V.;
Sandip Kale;
Annapurna Chitikineni;
Shailesh Tripathi;
Jones, E.;
Robbins, K.;
Crossa, J.;
Varshney, R.K.
Jarquín, D.;
Muneendra K. Singh;
Pooran M. Gaur;
Chellapilla Bharadwaj;
Rathore, A.;
Howard, R.;
Samineni Srinivasan;
Ankit Jain;
Garg, V.;
Sandip Kale;
Annapurna Chitikineni;
Shailesh Tripathi;
Jones, E.;
Robbins, K.;
Crossa, J.;
Varshney, R.K.
Año:
2018
Copyright:
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Revista:
Scientific Reports
Volumen de la Revista:
8
No de Revista:
art. 11701
Lugar de publicación:
London
Editor:
Nature Research; Springer Nature
Cita:
Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea. 2018. Roorkiwal, M.; Jarquín, D.; Muneendra K. Singh; Pooran M. Gaur; Chellapilla Bharadwaj; Rathore, A.; Howard, R.; Samineni Srinivasan; Ankit Jain; Garg, V.; Sandip Kale; Annapurna Chitikineni; Shailesh Tripathi; Jones, E.; Robbins, K.; Crossa, J.; Varshney, R.K. 8 (art. 11701) DOI: 10.1038/s41598-018-30027-2 Nature Research. Springer Nature.