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Integrating Taguchi design and machine learning models for trait stability and predicting forage quality in naturally occurring grass pea (Lathyrus spp.)

Crossref DOI link: https://doi.org/10.1186/s12870-026-08991-z

Published Online: 2026-05-20

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Çatal, Muhammed İkbal

Sancak, Cengiz

Ali, Seyid Amjad

Aasim, Muhammad
Funding

Funding for this research was provided by:

Recep Tayyip Erdogan Üniversitesi (02026002024142)
License Information

Text and Data Mining valid from 2026-05-20

Version of Record valid from 2026-07-13
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Article History

Received: 8 July 2025

Accepted: 13 May 2026

First Online: 20 May 2026

Declarations

:

: Not applicable.

: The authors declare no competing interests.

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