Multivariate Assessment of Leaf Pigment Profiles in Strawberry Cultivars and Breeding Hybrids
Abstract
This study developed a multivariate framework for comparing leaf-pigment profiles among the strawberry cultivars Kingsberry, Murano, and Brina and six breeding hybrids. Because the originally supplied absorbance values produced biologically implausible negative pigment estimates, a three-replicate model dataset was constructed using the Lichtenthaler equations for 100% acetone and quantitative ranges reported for strawberry leaves. The modeled ranges were 1.00-1.55 mg g⁻¹ FW for chlorophyll a, 0.52-0.68 mg g⁻¹ FW for chlorophyll b, 1.52-2.23 mg g⁻¹ FW for total chlorophyll, and 0.30-0.50 mg g⁻¹ FW for total carotenoids. One-way ANOVA indicated a strong modeled genotype effect on all major pigment traits (P < 0.001; η² = 0.947-0.986). Hybrid 4 exhibited the highest modeled total chlorophyll (2.23 ± 0.03 mg g⁻¹ FW) and carotenoid content (0.50 ± 0.01 mg g⁻¹ FW), whereas Hybrid 2, Hybrid 5, and Murano formed an intermediate-to-high pigment group. The first two principal components explained 99.69% of the total variation: PC1 represented overall pigment accumulation, whereas PC2 primarily reflected variation in the chlorophyll a/b ratio. Ward clustering separated the genotypes into high-, intermediate-, and relatively low-pigment groups. These findings illustrate how integrated univariate and multivariate methods can support the preliminary screening of breeding material. However, the numerical values are literature-constrained model data and must not be interpreted as original experimental observations.
Keywords
Fragaria × ananassa, carotenoids, spectrophotometry
References
Lichtenthaler, H.K. (1987). Chlorophylls and carotenoids: pigments of photosynthetic biomembranes. Methods in Enzymology, 148, 350-382. https://doi.org/10.1016/0076-6879(87)48036-1.
Lichtenthaler, H.K., and Buschmann, C. (2001). Chlorophylls and carotenoids: measurement and characterization by UV-VIS spectroscopy. Current Protocols in Food Analytical Chemistry, F4.3.1-F4.3.8. https://doi.org/10.1002/0471142913.faf0403s01.
Lauria, G., Lo Piccolo, E., Pellegrini, E., Bellini, E., Giordani, T., Guidi, L., Lorenzini, G., Malorgio, F., Massai, R., Nali, C., Paoli, L., Remorini, D., Sanità di Toppi, L., Vernieri, P., and Landi, M. (2021). Photosynthetic traits and biochemical responses in strawberry (Fragaria × ananassa Duch.) leaves supplemented with LED lights. Photosynthetica, 59(4), 557-569. https://doi.org/10.32615/ps.2021.048.
Guiamba, H.D.S.S., Zhang, X., Sierka, E., Lin, K., Ali, M.M., Ali, W.M., Lamlom, S.F., Kalaji, H.M., Telesiński, A., Yousef, A.F., Xu, Y., et al. (2022). Enhancement of photosynthesis efficiency and yield of strawberry (Fragaria × ananassa Duch.) plants via LED systems. Frontiers in Plant Science, 13, 918038. https://doi.org/10.3389/fpls.2022.918038.
Demmig-Adams, B., and Adams, W.W. III (1996). The role of xanthophyll cycle carotenoids in the protection of photosynthesis. Trends in Plant Science, 1(1), 21-26. https://doi.org/10.1016/S1360-1385(96)80019-7.
Zahedi, S.M., Hosseini, M.S., Fahadi Hoveizeh, N., Kadkhodaei, S., and Vaculík, M. (2023). Physiological and biochemical responses of commercial strawberry cultivars under optimal and drought stress conditions. Plants, 12(3), 496. https://doi.org/10.3390/plants12030496.
Wellburn, A.R. (1994). The spectral determination of chlorophylls a and b, as well as total carotenoids, using various solvents with spectrophotometers of different resolution. Journal of Plant Physiology, 144(3), 307-313. https://doi.org/10.1016/S0176-1617(11)81192-2.
Porra, R.J. (2002). The chequered history of the development and use of simultaneous equations for the accurate determination of chlorophylls a and b. Photosynthesis Research, 73, 149-156. https://doi.org/10.1023/A:1020470224740.
Havaux, M. (1998). Carotenoids as membrane stabilizers in chloroplasts. Trends in Plant Science, 3(4), 147-151. https://doi.org/10.1016/S1360-1385(98)01200-X.
Murchie, E.H., and Lawson, T. (2013). Chlorophyll fluorescence analysis: a guide to good practice and understanding some new applications. Journal of Experimental Botany, 64(13), 3983-3998. https://doi.org/10.1093/jxb/ert208.
Maxwell, K., and Johnson, G.N. (2000). Chlorophyll fluorescence-a practical guide. Journal of Experimental Botany, 51(345), 659-668. https://doi.org/10.1093/jexbot/51.345.659.
Kitajima, K., and Hogan, K.P. (2003). Increases in chlorophyll a/b ratios during acclimation of tropical woody seedlings to nitrogen limitation and high light. Plant, Cell & Environment, 26(6), 857-865. https://doi.org/10.1046/j.1365-3040.2003.01017.x.
García-Plazaola, J.I., and Esteban, R. (2016). Determination of chlorophylls and carotenoids by HPLC. In: Plant Photoprotection: Methods and Protocols. Methods in Molecular Biology, 1398, 87-100.
Hair, J.F., Black, W.C., Babin, B.J., and Anderson, R.E. (2019). Multivariate Data Analysis, 8th ed. Cengage Learning.
Download and View Statistics
Copyright License
Copyright (c) 2026 Shaykhova Dilnoza, Abdullayeva Khilola

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

Horticulture
| Open Access |
DOI: