Predictive modeling of sugar beet bolting via vernalization-intensity model and resilience assessment in diverse autumn cultivation environments.

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Bibliographic Details
Title: Predictive modeling of sugar beet bolting via vernalization-intensity model and resilience assessment in diverse autumn cultivation environments.
Authors: Sadeghzadeh Hemayati S; Sugar Beet Seed Institute (SBSI), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran., Saremirad A; Sugar Beet Seed Institute (SBSI), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran., Nooshkam A; Sugar Beet Research Department, Dezful Agricultural and Natural Resources Research and Education Center, AREEO, Dezful, Iran., Yar-Ahmadi S; Sugar Beet Research Department, Golestan Agricultural and Natural Resources Research and Education Center, AREEO, Gonbad, Iran., Abdipur M; Seed & Plant Research Department, Chahar-Mahal Bakhtiary Agricultural and Natural Resources Research and Education Center, AREEO, Gachsaran, Iran.
Source: PloS one [PLoS One] 2026 Feb 26; Vol. 21 (2), pp. e0339856. Date of Electronic Publication: 2026 Feb 26 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0339856