CMB_2026v16n2

Computational Molecular Biology 2026, Vol.16, No.2, 71-84 http://bioscipublisher.com/index.php/cmb 83 Deka B., Hazarika J., Borthakur P., Kotoky U., Saikia A., Kalita P., Gogoi B., Goswami S., Hazarika B., and Handique K., 2024, Influence of crop geometry, fruit thinning and nutrient management on yield and yield-related attributes of watermelon (Citrullus lanatus Thumb.), International Journal of Environment and Climate Change, 14(1): 854-862. https://doi.org/10.9734/ijecc/2024/v14i13854 Dhanani T., Dou T., Biradar K., Jifon J., Kurouski D., and Patil B., 2022, Raman spectroscopy detects changes in carotenoids on the surface of watermelon fruits during maturation, Frontiers in Plant Science, 13: 832522. https://doi.org/10.3389/fpls.2022.832522 Erniati E., Suhardiyanto H., Hasbullah R., and Supriyanto S., 2023, Artificial neural networks to predict melon (Cucumis melo L.) production in tropical greenhouse, Indonesia, Jurnal Keteknikan Pertanian, 11(2): 193-204. https://doi.org/10.19028/jtep.011.2.193-204 Fenn M., and Giovannoni J., 2020, Phytohormones in fruit development and maturation, The Plant Journal, 105(2): 446-458. https://doi.org/10.1111/tpj.15112 Gao W., She F., Sun Y., Han B., Wang X., and Xu G., 2023, Transcriptome analysis reveals the genes related to watermelon fruit expansion under low-light stress, Plants, 12(4): 935. https://doi.org/10.3390/plants12040935 Gebeyhu B., and Markos G., 2023, Assessment of soil mulching field management, and deficit irrigation effect on productivity of watermelon varieties, and AquaCrop model validation, Heliyon, 9(11): e21632. https://doi.org/10.1016/j.heliyon.2023.e21632 Gerhard D., and Moltchanova E., 2022, A Richards growth model to predict fruit weight, Australian and New Zealand Journal of Statistics, 64(4): 503-520. https://doi.org/10.1111/anzs.12380 Gülüt K., 2021, Nitrogen and boron nutrition in grafted watermelon I: impact on pomological attributes, yield and fruit quality, PLoS ONE, 16(6): e0252396. https://doi.org/10.1371/journal.pone.0252396 Hafiz M., Hassan M., Fakhrul M., Omar Z., Abbas H., Mahfuzah W., Ibrahim W., Ghazali N., Hamid M., and Hamid N., 2024, Development of water soluble NPK fertilizer for watermelon cultivation under rain shelter structure, Journal of Agrobiotechnology, 15(S1): 376-385. https://doi.org/10.37231/jab.2024.15.s1.376 Hossain M., Shibasaki Y., and Goto F., 2025, Enhancement of growth and quality of winter watermelon using LED supplementary lighting, Horticulturae, 11(3): 262. https://doi.org/10.3390/horticulturae11030262 Jannatizadeh A., Rezaei M., Rohani A., Lawson S., and Fatahi R., 2022, Towards modeling growth of apricot fruit: finding a proper growth model, Horticulture, Environment, and Biotechnology, 64(2): 209-222. https://doi.org/10.1007/s13580-022-00475-x Jayasinghe S., Ranawana C., Liyanage I., and Kaliyadasa P., 2022, Growth and yield estimation of banana through mathematical modelling: a systematic review, The Journal of Agricultural Science, 160(2): 152-167. https://doi.org/10.1017/S0021859622000259 Jordana C., Stapleton S., Colee J., Lee S., Gao Z., Ray Z., Anrecio L., Freed D., and Zhao X., 2023, How does watermelon grafting impact fruit yield and quality? A systematic review, HortScience, 58(10): 1223-1232. https://doi.org/10.21273/HORTSCI16857-22 Kim E., Jeon Y., Yun G., Noh S., and Lee H., 2023, The characteristics of small-sized watermelons in quality and yield according to planting density, stem number, and node number of fruit-setting, Korean Journal of Horticultural Science and Technology, 41(2): 191-201. https://doi.org/10.7235/hort.20230023 Koç S., and Kayra H., 2024, Non-destructive weight prediction model of spherical fruits and vegetables using U-Net image segmentation and machine learning methods, Tarım Bilimleri Dergisi, 30(3): 580-592. https://doi.org/10.15832/ankutbd.1434767 Kojima K., Andou D., and Ito M., 2020, Plant hormone changes in growing small watermelon fruit, The Horticulture Journal, 89(6): 732-739. https://doi.org/10.2503/hortj.UTD-209 Kumari M., Deltsidis A., Luo X., McAvoy C., and McAvoy T., 2025, Assessment of triploid watermelon cultivars grown in Georgia for yield and quality parameters, HortTechnology, 35(1): 52-61. https://doi.org/10.21273/HORTTECH05561-24 Mashilo J., Shimelis H., Ngwepe R., and Thungo Z., 2022, Genetic analysis of fruit quality traits in sweet watermelon (Citrullus lanatus var. lanatus): a review, Frontiers in Plant Science, 13: 834696. https://doi.org/10.3389/fpls.2022.834696 Miele L., Roques L., Constantinescu D., Génard M., and Bertin N., 2025, Cell expansion-division under resource limitation: a novel framework for modeling fruit growth dynamics, bioRxiv, preprint: 2024.05.30.596571. https://doi.org/10.1101/2024.05.30.596571 Qiang X., Sun Z., Li X., Li S., Yu Z., He J., Li Q., Han L., and He L., 2024, The impacts of planting patterns combined with irrigation management practices on watermelon growth, photosynthesis, and yield, Plants, 13(10): 1402. https://doi.org/10.3390/plants13101402

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