Understanding Gene Action, Combining Ability, and Heterosis to Identify Superior Aromatic Rice Hybrids Using Artificial Neural Network

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dc.contributor.authorSunny, A
dc.contributor.authorChakraborty, N.R
dc.contributor.authorKumar, A
dc.contributor.authorSingh, B.K
dc.contributor.authorPaul, A
dc.contributor.authorMaman, S
dc.contributor.authorSebastian, A
dc.contributor.authorDarko, D.A
dc.date.accessioned2023-03-08T13:12:14Z
dc.date.available2023-03-08T13:12:14Z
dc.date.issued2022
dc.descriptionResearch Articleen_US
dc.identifier.otherhttps://doi.org/10.1155/2022/9282733
dc.identifier.urihttp://ugspace.ug.edu.gh:8080/handle/123456789/38735
dc.language.isoenen_US
dc.publisherJournal of Food Qualityen_US
dc.subjectUnderstanding Gene Actionen_US
dc.subjectAromatic Rice Hybridsen_US
dc.subjectRice Hybridsen_US
dc.subjectArtificial Neural Networken_US
dc.titleUnderstanding Gene Action, Combining Ability, and Heterosis to Identify Superior Aromatic Rice Hybrids Using Artificial Neural Networken_US
dc.typeArticleen_US

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