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Abstract
This article tackled a rigorous review of plant anatomy and its history. The anatomy of the plant is significantly essential, and it is grown all over the world. However, most of it is produced in tropical and subtropical countries, and just a few of its species are grown in temperate zones. The anatomical studies are preliminary studies that come before the critical studies of these plants and fulfill the necessary learning for those studies. Although only a small number of plant taxa have really been explored physically up to this point, more species have likely been investigated chemically. This article provides a comprehensive look at the history of plant anatomy tools as well as anatomical investigations that have been conducted on plants
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References
- Albrechtová, J. (1994). Quantitative analysis of leaves of sun and shade ecotypes of Solanum dulcamara
- L. Acta Stereologica.
- Pang, Y., Li, L., & Bian, F. (2020). Photosynthetic and ultrastructural adaptability of Anemone shikokiana
- leaves to heterogeneous habitats. Brazilian Journal of Botany, 43(4), 979-988.
- Yu, L., Fujiwara, K., & Matsuda, R. (2022). Recent levels of daily photosynthetic photon flux density
- have a larger influence on the light acclimation responses of cucumber leaves than earlier. Horticulture,
- Environment, and Biotechnology, 63(1), 55-63.
- Baker, C. R., Stewart, J. J., Amstutz, C. L., Ching, L. G., Johnson, J. D., Niyogi, K. K., ... & Demmig‐
- Adams, B. (2022). Genotype‐dependent contribution of CBF transcription factors to long‐term acclimation
- to high light and cool temperature. Plant, Cell & Environment, 45(2), 392-411.
- Yu, L., Fujiwara, K., & Matsuda, R. (2021). Estimating Light Acclimation Parameters of Cucumber
- Leaves Using Time-Weighted Averages of Daily Photosynthetic Photon Flux Density. Frontiers in plant
- science, 12, 809046-809046.
- ALBRECHTOVA, J., & KUBlNOVA, L. U. C. I. E. (1991). Quantitative analysis of the structure of
- etiolated barley leaf using stereological methods. Journal of experimental botany, 42(10), 1311-1314.
- Hunt, L., Fuksa, M., Klem, K., Lhotáková, Z., Oravec, M., Urban, O., & Albrechtová, J. (2021). Barley
- Genotypes Vary in Stomatal Responsiveness to Light and CO2 Conditions. Plants, 10(11), 2533.
- Kubínová, Z. (2019). Study of quantitative parameters of Norway spruce needle structure under the effect
- of elevated CO₂ concentration and different irradiance.
- Böszörményi, A., Dobi, A., Skribanek, A., Pávai, M., & Solymosi, K. (2020). The effect of light on plastid
- differentiation, chlorophyll biosynthesis, and essential oil composition in rosemary (Rosmarinus
- officinalis) leaves and cotyledons. Frontiers in plant science, 11, 196.
- Sathasivam, M., Hosamani, R., & Swamy, B. K. (2021). Plant responses to real and simulated
- microgravity. Life Sciences in Space Research, 28, 74-86.
- Ali, A., & Arif, W. P. (2019). Developing of guidance for laboratory practice of islamic science-integrated
- plant anatomy-physiology. Biosfer: Jurnal Pendidikan Biologi, 12(1), 70-82.
- Legland, D., Devaux, M. F., & Guillon, F. (2018). Quantitative imaging of plants: multi-scale data for
- better plant anatomy. Journal of Experimental Botany, 69(3), 343-347.
- Daniel, A. D. I., & Tawakaltu, I. N. (2019, October). Effects of Pseudocedrela kotschyi stem bark on blood
- chemistry and histology of some organs in rats. In Science Forum (Journal of Pure and Applied
- Sciences) (Vol. 16, No. 1, pp. 1-1). Faculty of Science, Abubakar Tafawa Balewa University Bauchi.
- Pappas, M. L., Baptista, P., Broufas, G. D., Dalakouras, A., Djobbi, W., Flors, V., ... & Papadopoulou, K.
- (2020). Biological and molecular control tools in plant defense. In Plant defence: biological control (pp.
- -43). Springer, Cham.
- Poorter, H., Niinemets, Ü., Ntagkas, N., Siebenkäs, A., Mäenpää, M., Matsubara, S., & Pons, T. (2019).
- A meta‐analysis of plant responses to light intensity for 70 traits ranging from molecules to whole plant
- performance. New Phytologist, 223(3), 1073-1105.
- Doležal, J., Dvorský, M., Börner, A., Wild, J., & Schweingruber, F. H. (2018). Anatomy, age and ecology
- of high mountain plants in Ladakh, the Western Himalaya. Springer.
- Steven, B., Huntley, R. B., & Zeng, Q. (2018). The influence of flower anatomy and apple cultivar on the
- apple flower phytobiome. Phytobiomes, 2(3), 171-179.
- Song, Q., Jiang, P., Zheng, S., Kong, Y., Zhao, Y., & Shen, G. (2019). Dynamic Semi-Quantitative Risk
- Research in Chemical Plants. Processes, 7(11), 849.
- He, T., Marco, J., Soares, R., Yin, Y., & Wiedenhoeft, A. C. (2019). Machine learning models with
- quantitative wood anatomy data can discriminate between Swietenia macrophylla and Swietenia
- mahagoni. Forests, 11(1), 36.
- Xie, F., Shi, Z., Zhang, G., Zhang, C., Sun, X., Yan, Y., ... & Chen, Y. (2020). Quantitative leaf anatomy
- and photophysiology systems of C3 and C4 turfgrasses in response to shading. Scientia
- Horticulturae, 274, 109674.
- Chen, G., Weng, Q., Hay, G. J., & He, Y. (2018). Geographic object-based image analysis (GEOBIA):
- Emerging trends and future opportunities. GIScience & Remote Sensing, 55(2), 159-182.