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Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials
Research article (Theoretical and Applied Genetics, 2024) · cited 32× · AI/ML
Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials
Summary
Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials is a scholarly article[1].
Key Facts
Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-machine-learning-to-combine-genetic-and-environmental-data-for-maize-grain-yield-predictions-across-multi-environm
MLA“Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-machine-learning-to-combine-genetic-and-environmental-data-for-maize-grain-yield-predictions-across-multi-environm.
BibTeX@misc{4ortxyz_using-machine-learning-to-combine-genetic-and-environmental-data-for-maize-grain-yield-predictions-across-multi-environm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials}}, year = {2026}, url = {https://4ort.xyz/entity/using-machine-learning-to-combine-genetic-and-environmental-data-for-maize-grain-yield-predictions-across-multi-environm}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials — https://4ort.xyz/entity/using-machine-learning-to-combine-genetic-and-environmental-data-for-maize-grain-yield-predictions-across-multi-environm (retrieved 2026-05-24)
