Previous Article in Journal
Transformer-Model-Based Automatic Aquifer Generalization Using Borehole Logs: A Case Study in a Mining Area in Xingtai, Hebei Province, China
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Assessing Stability and Correlations Among Cotton Seed Quality Traits Across Multiple Environments Using the Stability Index

by
Vasileios Greveniotis
1,2,*,
Elisavet Bouloumpasi
3,
Adriana Skendi
3,
Dimitrios Kantas
4 and
Constantinos G. Ipsilandis
5
1
Institute of Industrial and Forage Crops, Hellenic Agricultural Organization Demeter (ELGO-Dimitra), 41335 Larissa, Greece
2
National Center for Quality Control, Classification & Standardization of Cotton, Hellenic Agricultural Organization Demeter (ELGO-Dimitra), 1st km Karditsa-Mitropolis, 43100 Karditsa, Greece
3
Department of Viticulture and Oenology, Democritus University of Thrace, 66100 Drama, Greece
4
Department of Animal Science, University of Thessaly, Campus Gaiopolis, 41500 Larissa, Greece
5
Regional Administration of West Macedonia, 50131 Kozani, Greece
*
Author to whom correspondence should be addressed.
Appl. Sci. 2026, 16(2), 984; https://doi.org/10.3390/app16020984 (registering DOI)
Submission received: 25 December 2025 / Revised: 15 January 2026 / Accepted: 16 January 2026 / Published: 18 January 2026
(This article belongs to the Section Agricultural Science and Technology)

Abstract

The stability of seed quality traits is a key factor for developing reliable cotton cultivars with consistent performance across diverse environments. This study evaluated six seed traits (1000-seed weight, crude protein, oil, ash, crude fiber, and moisture) across five commercial upland cotton cultivars grown in four distinct environments in Greece. Field trials were conducted in ten independent commercial fields per cultivar within each environment, with four samples collected from each field. Seed quality traits were analyzed using recommended official methods, and the Stability Index (SI) was calculated for each trait to quantify consistency across environments and cultivars. Traits such as 1000-seed weight, oil, and crude protein exhibited more consistent expression across environments and cultivars, whereas crude fiber and moisture showed substantial variation in stability across environments and cultivar × environment combinations, reflecting strong genotype × environment effects. Evaluation of relationships between traits revealed significant positive associations between 1000-seed weight and oil, and between crude protein and ash, as well as negative associations between 1000-seed weight and moisture and between crude protein and oil, indicating potential trade-offs among seed traits. Principal component analysis further highlighted trait associations and variability patterns across genotypes and environments. Overall, the combined use of Stability Index assessments and multivariate analyses provides a robust descriptive framework for evaluating cultivar performance and supporting cultivar selection under diverse agro-ecological conditions.
Keywords: seed quality; stability index; genotype × environment interaction; multi-environment trials; cultivar evaluation seed quality; stability index; genotype × environment interaction; multi-environment trials; cultivar evaluation

Share and Cite

MDPI and ACS Style

Greveniotis, V.; Bouloumpasi, E.; Skendi, A.; Kantas, D.; Ipsilandis, C.G. Assessing Stability and Correlations Among Cotton Seed Quality Traits Across Multiple Environments Using the Stability Index. Appl. Sci. 2026, 16, 984. https://doi.org/10.3390/app16020984

AMA Style

Greveniotis V, Bouloumpasi E, Skendi A, Kantas D, Ipsilandis CG. Assessing Stability and Correlations Among Cotton Seed Quality Traits Across Multiple Environments Using the Stability Index. Applied Sciences. 2026; 16(2):984. https://doi.org/10.3390/app16020984

Chicago/Turabian Style

Greveniotis, Vasileios, Elisavet Bouloumpasi, Adriana Skendi, Dimitrios Kantas, and Constantinos G. Ipsilandis. 2026. "Assessing Stability and Correlations Among Cotton Seed Quality Traits Across Multiple Environments Using the Stability Index" Applied Sciences 16, no. 2: 984. https://doi.org/10.3390/app16020984

APA Style

Greveniotis, V., Bouloumpasi, E., Skendi, A., Kantas, D., & Ipsilandis, C. G. (2026). Assessing Stability and Correlations Among Cotton Seed Quality Traits Across Multiple Environments Using the Stability Index. Applied Sciences, 16(2), 984. https://doi.org/10.3390/app16020984

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop