Horticulture | Open Access | DOI: https://doi.org/10.37547/tajhfr/Volume08Issue07-02

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

Views: 0   |   Downloads: 0

Copyright License

Download Citations

How to Cite

Shaykhova Dilnoza, & Abdullayeva Khilola. (2026). Multivariate Assessment of Leaf Pigment Profiles in Strawberry Cultivars and Breeding Hybrids. The American Journal of Horticulture and Floriculture Research, 8(07), 18–26. https://doi.org/10.37547/tajhfr/Volume08Issue07-02