E. A. Al-Hadethi, M., S. H. Al-Marsoumi, F. (2024). MATHEMATICAL MODELS FOR ESTIMATING LEAF AREA OF APRICOT AND JUJUBE PLANTS BASED ON LEAF LENGTH AND WIDTH. , 22(2), 1610-1620. doi: 10.32649/ajas.2024.154368.1448
M. E. A. Al-Hadethi; F. S. H. Al-Marsoumi. "MATHEMATICAL MODELS FOR ESTIMATING LEAF AREA OF APRICOT AND JUJUBE PLANTS BASED ON LEAF LENGTH AND WIDTH". , 22, 2, 2024, 1610-1620. doi: 10.32649/ajas.2024.154368.1448
E. A. Al-Hadethi, M., S. H. Al-Marsoumi, F. (2024). 'MATHEMATICAL MODELS FOR ESTIMATING LEAF AREA OF APRICOT AND JUJUBE PLANTS BASED ON LEAF LENGTH AND WIDTH', , 22(2), pp. 1610-1620. doi: 10.32649/ajas.2024.154368.1448
E. A. Al-Hadethi, M., S. H. Al-Marsoumi, F. MATHEMATICAL MODELS FOR ESTIMATING LEAF AREA OF APRICOT AND JUJUBE PLANTS BASED ON LEAF LENGTH AND WIDTH. , 2024; 22(2): 1610-1620. doi: 10.32649/ajas.2024.154368.1448

MATHEMATICAL MODELS FOR ESTIMATING LEAF AREA OF APRICOT AND JUJUBE PLANTS BASED ON LEAF LENGTH AND WIDTH

Anbar Journal of Agricultural Sciences
Volume 22, Issue 2, December 2024, Pages 1610-1620    PDF (777.13 K)
Document Type: Research Paper
DOI: 10.32649/ajas.2024.154368.1448
Authors
M. E. A. Al-Hadethi* 1; F. S. H. Al-Marsoumi* 2
1Dept. of Hort. and Landscape, Coll. of Agricultural Engineering Sciences, University of Baghdad, Iraq
2Agricultural Research Office, Ministry of Agriculture, Iraq
Abstract
This research involved 14 apricot and 9 jujube cultivars from which 50 leaves each were taken for a total of 700 apricot and 450 jujube leaves. Leaf length and width were measured and leaf area (LA) calculated based on three methods: a square method drawing on graph paper; using a CI-202 area-meter device; and scanning and reading using a Digimizer program. The average leaf area from the three methods was calculated and linear regression analysis was used based on leaf length × width as independent variables. A mathematical model was then developed to calculate the leaf areas for both cultivar types. The coefficient of determination (R2) values of the leaves were 0.155 and 0.998 for the local Zaghinia and Hamwi cultivars, while the MSE values ​​were 0.071 and 34.273 for the Hamwi and Katy cultivars, respectively. For the LA models, the Hamwi cultivar model (LA= 0.6568 (LW) + 0.8683) was dominant. The general mathematical model estimated from this regression for the cultivars is LA= 0.6531 (LW) + 2.4147 with an R2 of 0.976. As for the jujube plants, results showed that R2 values were between 0.618 and 0.954 for the Basrah and Baghdad seed cultivars, while the MSE values were between 0.615 and 8.610 for the Mallasi and Tuffahy cultivars, respectively. Among the LR models, the Armouty cultivar (LA= 0.6648 (LW) +1.7625) stood out. The general mathematical model estimated from this regression using the jujube cultivars is LA= 0.7528 (LW) + 0.0241 with R2 of 0.987.
Keywords
Prunus armeniaca L; Zizphus spp; cultivars; regression LA
References
  1. Al-Asadi, M. H. S. (2019). Gen Stat for Agricultural Experiment Analysis. Al-Qasim Green University-Agriculture College. pp, 303.
  2. Al-Dulaimy, F. Z., A., and A. Jubair, N. (2024). Improving Chemical Content of Date Palm Cv. Khastawi Under Different Levels of Spraying with Micro-Elements, Gibberellic Acid and Salicylic Acid. Anbar Journal of Agricultural Sciences, 22(1): 147-159. https://doi.org/10.32649/ajas.2024.146174.1115.
  3. Al-Hadethi, M. E., and Almashhadani, B. M. (2019). Determination of some phenolic compounds in the leaves of some olive cultivars grown in Iraq. Plant Archives, 19(2): 4079-4083.
  4. Al-hayani, M. A., and Al-Hadethi, M. E. (2023). Effect of Amino Acids Addition and Spraying with Glutathione and Kaolin in Growth Apricot Transplants. In IOP Conference Series: Earth and Environmental Science, 1262(4): 042025. DOI: 10.1088/1755-1315/1262/4/042025.
  5. Alwan, J. M. (2017). Deciduous fruit technology. Propagation-cultivation-care and production (Part II).
  6. Boyacı, S., and Küçükönder, H. (2022). A research on non-destructive leaf area estimation modeling for some apple cultivars. Erwerbs-Obstbau, 64(1): 1-7. https://doi.org/10.1007/s10341-021-00619-w.
  7. Cirillo, C., Pannico, A., Basile, B., Rivera, C. M., Giaccone, M., Colla, G., ... and Rouphael, Y. (2017). A simple and accurate allometric model to predict single leaf area of twenty-one European apricot cultivars. J. Hortic. Sci, 82: 65-71. https://doi.org/10.17660/eJHS.2017/82.2.1.
  8. Elsahookie, M. M., and Wuhaib, K. M. (1990). Design and analysis of experiments. Univ. of Bagh. Dar al Hekma. pp.488.
  9. Fang, H., Baret, F., Plummer, S., and Schaepman‐Strub, G. (2019). An overview of global leaf area index (LAI): Methods, products, validation, and applications. Reviews of Geophysics, 57(3): 739-799. https://doi.org/10.1029/2018RG000608.
  10. Gonçalves, M. P., Ribeiro, R. V., and Amorim, L. (2022). Non-destructive models for estimating leaf area of guava cultivars. Bragantia, 81: e2822. https://doi.org/10.1590/1678-4499.20210342.
  11. Janick, J. (2005). The origins of fruits, fruit growing, and fruit breeding. Plant breeding reviews, 25(1): 255-320. DOI:10.1002/9780470650301.
  12. Keramatlou, I., Sharifani, M., Sabouri, H., Alizadeh, M., and Kamkar, B. (2015). A simple linear model for leaf area estimation in Persian walnut (Juglans regia L.). Scientia Horticulturae, 184: 36-39. https://doi.org/10.1016/j.scienta.2014.12.017.
  13. Leroy, C., Saint-André, L., and Auclair, D. (2007). Practical methods for non-destructive measurement of tree leaf area. Agroforestry systems, 71: 99-108. https://doi.org/10.1007/s10457-007-9077-2.
  14. Mhanna, M. A. (2020). Evaluation of new mathematical models for estimation of single olive leaves area. Agricultural Science and Technology, 12(2):144-147. DOI: 10.15547/ast.2020.02.024.
  15. Moghaddam, P. A. (2014). Quick estimation of apple (Red Delicious and Golden Delicious) leaf area and chlorophyll content. Iran Agricultural Research, 33(1): 53-62. https://doi.org/10.22099/iar.2014.2381.
  16. Nasri, M. B., and Nabli, M. A. (2006). Flora Biology study of Ziziphus lotus L. Acta Horticulture, 840.
  17. Öztürk, A., Cemek, B., Demirsoy, H., and Küçüktopcu, E. (2019). Modelling of the leaf area for various pear cultivars using neuro computing approaches. Spanish Journal of Agricultural Research, 17(4): e0206. https://doi.org/10.5424/sjar/2019174-14675.
  18. Pareek, O. P. (2001). Ber. International Centre for Under-utilized Crops, Southampton, UK.
  19. Parker, G. G. (2020). Tamm review: Leaf Area Index (LAI) is both a determinant and a consequence of important processes in vegetation canopies. Forest Ecology and Management, 477: 118496. https://doi.org/10.1016/j.foreco.2020.118496.
  20. Patil, P., Biradar, P., Bhagawathi, A. U., and Hejjegar, I. S. (2018). A review on leaf area index of horticulture crops and its importance. Int. J. Curr. Microbiol. App. Sci, 7(4): 505-513. https://doi.org/10.20546/ijcmas.2018.704.059.
  21. Williams, J. T. (2006). Introduction, taxonomy and history. In: Williams, J. T., Smith, R. W., Haq, N., and Dunsiger, Z. (Editors), Ber and Other Jujubes. Southampton Centre for Underutilized Crops., Chap. 9: 1-17.
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