APA (7th ed.) Citation

R, F., J, A., EJ, D. A., M, A., & MR, L. (2023). Improving hybrid rice breeding programs via stochastic simulations: Number of parents, number of hybrids, tester update, and genomic prediction of hybrid performance. TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 137(1), 3. https://doi.org/10.1007/s00122-023-04508-6

Chicago Style (17th ed.) Citation

R, Fritsche-Neto, Ali J, De Asis EJ, Allahgholipour M, and Labroo MR. "Improving Hybrid Rice Breeding Programs via Stochastic Simulations: Number of Parents, Number of Hybrids, Tester Update, and Genomic Prediction of Hybrid Performance." TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik 137, no. 1 (2023): 3. https://doi.org/10.1007/s00122-023-04508-6.

MLA (9th ed.) Citation

R, Fritsche-Neto, et al. "Improving Hybrid Rice Breeding Programs via Stochastic Simulations: Number of Parents, Number of Hybrids, Tester Update, and Genomic Prediction of Hybrid Performance." TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik, vol. 137, no. 1, 2023, p. 3, https://doi.org/10.1007/s00122-023-04508-6.