Integrating Taguchi design and machine learning models for trait stability and predicting forage quality in naturally occurring grass pea (Lathyrus spp.).
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| Title: | Integrating Taguchi design and machine learning models for trait stability and predicting forage quality in naturally occurring grass pea (Lathyrus spp.). |
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| Authors: | Çatal Mİ; Department of Field Crops, Faculty of Agriculture, University of Recep Tayyip Erdogan, Rize, Türkiye., Sancak C; Department of Field Crops, Faculty of Agriculture, Ankara University, Ankara, Türkiye. sancak@ankara.edu.tr., Ali SA; Department of Information Systems and Technologies, Bilkent University, Ankara, Türkiye., Aasim M; Department of Precision Agriculture and Agricultural Robots, Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Türkiye. maasim@sivas.edu.tr. |
| Source: | BMC plant biology [BMC Plant Biol] 2026 May 20; Vol. 26 (1). Date of Electronic Publication: 2026 May 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100967807 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2229 (Electronic) Linking ISSN: 14712229 NLM ISO Abbreviation: BMC Plant Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1471-2229 |
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| DOI: | 10.1186/s12870-026-08991-z |
