Using of Molecular Markers in Prediction of Wheat (Triticum aestivum L.) Hybrid Grain Yield Based on Artificial Intelligence Methods and Multivariate Statistics
Author:
Publisher
Pleiades Publishing Ltd
Subject
Genetics
Link
https://link.springer.com/content/pdf/10.1134/S102279542205009X.pdf
Reference32 articles.
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4. Cassman, K.G., Ecological intensification of cereal production systems: yield potential, soil quality, and precision agriculture, Proc. Natl. Acad. Sci. U.S.A., 1999, vol. 96, no. 11, pp. 5952—5959. https://doi.org/10.1073/pnas.96.11.5952
5. Crain, J., Mondal, S., Rutkoski, J., et al., Combining high-throughput phenotyping and genomic information to increase prediction and selection accuracy in wheat breeding, Plant Genome, 2018, vol. 11, no. 1, p. 170043. https://doi.org/10.3835/plantgenome2017.05.0043
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