Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method

Yusuf Güzel Demiray; Remzi Ekinci

doi:10.31015/2025.4.15

Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method

Abstract

Advanced cotton lines developed by double-cross hybridization were evaluated for two years for seed cotton yield (SCY), ginning outturn (GOT), Hundred seed weight (HSW) and spinning consistency index (SCI) in this study. 12 advanced lines and 3 commercial cotton varieties were used as plant material in the research. The results revealed significant variation among genotypes in both morphological and technological traits. The 18G genotype, in particular, demonstrated superior performance in both SCY and SCI, demonstrating indicating a strong adaptive potential. Principal component analysis (PCA biplot) revealed that the advanced lines were clearly distinct from standard varieties and that there was significant genetic diversity among these genotypes. PC1 and PC2 explained 83.2% of the total variance. SCY and SCI were identified as the most effective variables in explaining genotypic differences and could be considered primary selection criteria in cotton breeding programs. Overall, the study findings demonstrate that multivariate analysis approaches, such as PCA biplot, which can perform multi-trait evaluations, provide significant benefits to decision-makers in genotype classification and variety selection. In this context, it is recommended that genotypes 18G, 18E, 18F, 11, and 3B be registered and evaluated in further adaptation trials. These genotypes are considered important candidates that could contribute to sustainable cotton production and the development of high-quality varieties.

Keywords

Biplot analysis, Cotton, Double-cross, Genotypic variation, PC analysis

Supporting Institution

It was funded through the General Directorate of Agricultural Research and Policies (TAGEM) under project number TAGEM/TBAD/15/A04/P02/07.

Project Number

TAGEM/TBAD/15/A04/P02/07

Thanks

The project titled "Development of Cotton Varieties Suitable for the GAP Region Using the Double Hybrid Method" was carried out with the contributions of the GAP International Agricultural Research and Training Center. I sincerely thank both institutions for their contributions and support.

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Details

Primary Language

English

Subjects

Industrial Crops, Crop and Pasture Breeding

Journal Section

Research Article

Authors

Yusuf Güzel Demiray ^*
0000-0002-4113-5855
Türkiye

Remzi Ekinci
0000-0003-4165-6631
Türkiye

Early Pub Date

December 16, 2025

Publication Date

December 26, 2025

Submission Date

September 14, 2025

Acceptance Date

December 5, 2025

Published in Issue

Year 2025 Volume: 9 Number: 4

DOI

https://doi.org/10.31015/2025.4.15

IZ

https://izlik.org/JA96JP82SE

APA

Demiray, Y. G., & Ekinci, R. (2025). Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method. International Journal of Agriculture Environment and Food Sciences, 9(4), 1132-1140. https://doi.org/10.31015/2025.4.15

AMA

1.Demiray YG, Ekinci R. Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method. int. j. agric. environ. food sci. 2025;9(4):1132-1140. doi:10.31015/2025.4.15

Chicago

Demiray, Yusuf Güzel, and Remzi Ekinci. 2025. “Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method”. International Journal of Agriculture Environment and Food Sciences 9 (4): 1132-40. https://doi.org/10.31015/2025.4.15.

EndNote

Demiray YG, Ekinci R (December 1, 2025) Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method. International Journal of Agriculture Environment and Food Sciences 9 4 1132–1140.

IEEE

[1]Y. G. Demiray and R. Ekinci, “Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method”, int. j. agric. environ. food sci., vol. 9, no. 4, pp. 1132–1140, Dec. 2025, doi: 10.31015/2025.4.15.

ISNAD

Demiray, Yusuf Güzel - Ekinci, Remzi. “Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method”. International Journal of Agriculture Environment and Food Sciences 9/4 (December 1, 2025): 1132-1140. https://doi.org/10.31015/2025.4.15.

JAMA

1.Demiray YG, Ekinci R. Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method. int. j. agric. environ. food sci. 2025;9:1132–1140.

MLA

Demiray, Yusuf Güzel, and Remzi Ekinci. “Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method”. International Journal of Agriculture Environment and Food Sciences, vol. 9, no. 4, Dec. 2025, pp. 1132-40, doi:10.31015/2025.4.15.

Vancouver

1.Yusuf Güzel Demiray, Remzi Ekinci. Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method. int. j. agric. environ. food sci. 2025 Dec. 1;9(4):1132-40. doi:10.31015/2025.4.15

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Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method

Multidimensional Evaluation of Yield-Quality Performance of Double-Cross Hybrid Lines in Cotton Using PCA Biplot Method

Abstract

Keywords

Supporting Institution

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Thanks

References

Details

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Subjects

Journal Section

Authors

Early Pub Date

Publication Date

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Acceptance Date

Published in Issue

DOI

IZ

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