Crossmark

Integrative multivariate and machine learning analyses reveals trait architecture and selection potential in guava (Psidium Guajava L.)

Crossref DOI link: https://doi.org/10.1186/s12870-026-08216-3

Published Online: 2026-02-04

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

Authors

Mishra, Daya Shankar https://orcid.org/0009-0006-1885-6861
Yadav, Vikas https://orcid.org/0000-0002-0786-0375
Berwal, M. K. https://orcid.org/0000-0001-9348-0397
Ravat, Prakashbhai https://orcid.org/0009-0009-5165-7954
Singh, Anshuman https://orcid.org/0000-0002-7689-9134
Rane, Jagadish https://orcid.org/0000-0001-8238-0219
Kaushik, Prashant https://orcid.org/0000-0002-3145-2849
Patel, Priyanshu J. https://orcid.org/0009-0004-0169-5331
Rao, V. V. Appa https://orcid.org/0000-0002-9936-1783
Kumar, Prabhat https://orcid.org/0000-0002-0920-913X
Goswami, A. K. https://orcid.org/0000-0002-5847-7421
Chaturvedi, Kanupriya https://orcid.org/0000-0002-1604-5401
Kumar, Prakash https://orcid.org/0000-0003-0790-4558
License Information

Text and Data Mining valid from 2026-02-04

Accepted Manuscript valid from 2026-02-04
More Information

Article History

Received: 18 September 2025

Accepted: 19 January 2026

First Online: 4 February 2026

Declarations

:

: Not Applicable.

: Not applicable

: Not Applicable.

: The authors declare no competing interests.