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https://hdl.handle.net/2440/79206
Type: | Journal article |
Title: | Application of unsupervised weighting algorithms for identifying important attributes and factors contributing to grain and biological yields of wheat |
Author: | Bijanzadeh, E. Emam, Y. Ebrahimie, E. Ebrahimi, M. |
Citation: | Crop breeding journal, 2012; 2(2):111-117 |
Publisher: | Seed and Plant Improvement Institute |
Issue Date: | 2012 |
ISSN: | 2008-868X 2008-868X |
Statement of Responsibility: | E. Bijanzadeh, Y. Emam, E. Ebrahimi, and M. Ebrahimi |
Abstract: | To identify important attributes/factors that contribute to grain and biological yields of wheat, 9912 sets of diverse data from field studies were extracted, and supervised attribute-weighting models were employed. Results showed that when biological yield was the output, grain yield, nitrogen applied, rainfall, irrigation regime, and organic content were the most important factors/attributes, highlighted by 9, 7, 5, 3 and 3 weighting models, respectively. In contrast, when grain yield was the output, biological yield, location, and genotype were identified by 8, 6, and 5 weighting models, respectively. Also, five other features (cropping system, organic content, 1000-grain weight, spike number m-2 and soil texture) were selected by three models as the most important factors/attributes. Field water status, such as the irrigation regime or the amount of rainfall, was another important factor related to the biological or grain yield of wheat (weight ≥ 0.5). Our results showed that attribute/factor classification by unsupervised attribute-weighting models can provide a comprehensive view of the important distinguishing attributes/factors that contribute to wheat grain or biological yield. This is the first report on identifying the most important factors/attributes contributing to wheat grain and biological yields-using attribute-weighting algorithms. This study opened a new horizon in wheat production using data mining. |
Keywords: | attribute weighting data mining unsupervised model wheat |
Rights: | Copyright status unknown |
Published version: | http://cbjournal.spii.ir/browse.php?a_code=A-10-192-6&slc_lang=en&sid=1 |
Appears in Collections: | Aurora harvest Molecular and Biomedical Science publications |
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