Heat Unit–Based Prediction of Harvest Age in Rice under Different Planting Spacings and Genotypes

  • Yohana Kathryn Siahaan
    Politeknik Negeri Lampung
  • Dulbari
    Politeknik Negeri Lampung
  • Juwita Suri Maharani
    Politeknik Negeri Lampung
  • Moh Haris Imron S Jaya
    Universitas Padjajaran
DOI: https://doi.org/10.23960/jtepl.v15i3.963-979
Keywords Growing Degree Days (GDD), Harvest age prediction, Heat unit, Planting spacing, Rice genotype
Abstract Views (Last 12 Months)
31 Abstract Views
42 Downloads

Abstract

Heat unit (HU) is widely used to describe crop thermal requirements; however, its application for determining rice harvest age across different planting spacings and genotypes remains limited. This study aimed to evaluate the effects of plant spacing and genotype on HU accumulation and to assess the usefulness of HU as a predictor of harvest age and yield-related traits in rice. The experiment was conducted in a greenhouse using a factorial randomized complete block design with three planting spacings (Jarwo 2:1, Tegel 25 cm × 25 cm, and transplanter-based spacing 35 cm × 15 cm) and four rice genotypes (PTP 01, Inpari 24, Jeliteng, and Pandan Wangi). Results showed that HU accumulation during the vegetative phase was uniform across all treatments, reaching approximately 776 °C⸳day, indicating a common thermal threshold for early growth. In contrast, significant differences emerged during the generative phase and at harvest. Plant spacing significantly affected HU accumulation and harvest timing, whereas genotype did not alter total HU requirement but strongly influenced yield expression. The Jarwo 2:1 system required the lowest total HU to reach physiological maturity (~1134 °C⸳day), followed by Tegel 25×25 cm (~1146 °C⸳day) and transplanter spacing (~1159 °C⸳day). Inpari 24 consistently exhibited superior plant height, grain filling, and grain weight per panicle, indicating higher efficiency in converting accumulated HU into yield. Heat unit–based thresholds provide a reliable tool for predicting rice harvest age and optimizing genotype–spacing combinations.

Downloads

Download data is not yet available.

References

Anand, S., & Dhaliwal, L.K. (2024). Effect of microclimate modification on growth and yield of basmati rice under Punjab conditions. International Journal of Plant & Soil Science, 36(4), 135–147. https://doi.org/10.9734/ijpss/2024/v36i44462

BPS (Badan Pusat Statistik). (2023). Paddy Harvested Area and Production in Indonesia 2023 (Preliminary Figures). Badan Pusat Statistik, Jakarta. https://www.bps.go.id/en/pressrelease/2023/10/16/2037/paddy-harvested-area-and-production-in-indonesia-2023--preliminary-figures-.html (Accessed: 29 May 2026)

BPS (Badan Pusat Statistik). (2024). Luas Panen dan Produksi Padi di Indonesia 2023 (Nomor Publikasi 05100.24007). BPS Indonesia. https://www.bps.go.id/id/publication/2024/08/01/cacb2de135ee840211c7e95e/luas-panen-dan-produksi-padi-di-indonesia-2023.html (Accessed: 29 May 2026)

Berhe, M., You, J., Dossa, K., Li, D., Zhou, R., Zhang, Y., & Wang, L. (2024). Examining chlorophyll extraction methods in sesame genotypes: Uncovering leaf coloration effects and anatomy variations. Plants, 13(12), 1589. https://doi.org/10.3390/plants13121589

Bhat, M.A., Lone, H.A., & Mehraj, S.S. (2019). Nutrient remobilization during senescence. Senescence signalling and control in plants, 227–237. https://doi.org/10.1016/B978-0-12-813187-9.00014-7

Biswas, P., Mondal, S., Maji, S., Mondal, A., & Bandopadhyay, P. (2023). Microclimate modification in field crops: A way toward climate-resilience. In Climate-resilient agriculture (Vol. 1, pp. 647–666). Springer. https://doi.org/10.1007/978-3-031-37424-1_29

Brinkhoff, J., McGavin, S.L., Dunn, T., & Dunn, B.W. (2023). Predicting rice phenology and optimal sowing dates in temperate regions using machine learning. Agronomy Journal, 116(3), 871–885. https://doi.org/10.1002/agj2.21398

Budiarto, R., Poerwanto, R., Santosa, E., Efendi, D., & Agusta, A. (2022). Comparative and correlation analysis of young and mature kaffir lime (Citrus hystrix DC) leaf characteristics. International Journal of Plant Biology, 13(3), 270–280. https://doi.org/10.3390/ijpb13030023

Chachar, Z., Xue, X., Fang, J., Chen, M., Chen, W., Li, X., Ahmed, N., Chachar, S., Ali, A., & Chen, Z.L. (2025). Genetic and molecular insights into tiller development and approaches for crop yield improvement. Frontiers in Plant Science, 16, Article 1532180. https://doi.org/10.3389/fpls.2025.1532180

Chaudhary, S., Devi, P., Bhardwaj, A., Jha, U.C., Sharma, K.D., Prasad, P.V.V., Siddique, K.H.M., Bindumadhava, H., Kumar, S., & Nayyar, H. (2020). Identification and characterization of contrasting genotypes/cultivars for developing heat tolerance in agricultural crops: Current status and prospects. Frontiers in Plant Science, 11, Article 587264. https://doi.org/10.3389/fpls.2020.587264

Chen, L., Deng, X., Duan, H., Tan, X., Xie, X., Pan, X., Guo, L., Luo, T., Chen, X., Gao, H., Wei, H., Zhang, H., & Zeng, Y. (2025). Canopy humidity and irrigation regimes interactively affect rice physiology, grain filling and yield during grain filling period. Agricultural Water Management, 307, Article 109143. https://doi.org/10.1016/j.agwat.2024.109143

Chen, T., Yang, X., Fu, W., Li, G., Feng, B., Fu, G., & Tao, L. (2022). Strengthened assimilate transport improves yield and quality of super rice. Agronomy, 12(4), Article 753. https://doi.org/10.3390/agronomy12040753

Cheng, Y., Wei, P., Chen, D., Zheng, Y., & Song, B. (2025). Optimizing planting density and variety allocation synergistically to improve maize yield and resource utilization efficiency in different agroecological zones of southwest China. Annals of Applied Biology, 187(3), 330–344. https://doi.org/10.1111/aab.12980

Chiluwal, A., Singh, H.P., Sainju, U., Khanal, B., Whitehead, W.F., & Singh, B.P. (2018). Spacing effect on energy cane growth, physiology, and biomass yield. Crop Science, 58(3), 1371–1384. https://doi.org/10.2135/cropsci2017.08.0513

Croce, R., Carmo-Silva, E., Cho, Y.B., Ermakova, M., Harbinson, J., Lawson, T., McCormick, A.J., Niyogi, K.K., Ort, D.R., Patel-Tupper, D., Pesaresi, P., Raines, C., Weber, A.P.M., & Zhu, X.-G. (2024). Perspectives on improving photosynthesis to increase crop yield. The Plant Cell, 36(10), 3944–3973. https://doi.org/10.1093/plcell/koae132

Dulbari, Ahyuni, D., Rochman, F., Rahmadi, R., Priyadi, Subarjo, Budiarti, L., Saputra, H., & Jaya, M.H.I.S. (2025). Pathway analysis of yield components in several new plant type (NPT) rice genotypes. Biodiversitas Journal of Biological Diversity, 26(2). https://doi.org/10.13057/biodiv/d260225

Egbuikwem, P.N., Mierzwa, J.C., & Saroj, D.P. (2020). Assessment of suspended growth biological process for treatment and reuse of mixed wastewater for irrigation of edible crops under hydroponic conditions. Agricultural Water Management, 231, Article 106034. https://doi.org/10.1016/j.agwat.2020.106034

Fan, H., Miao, R., Guo, C., Bao, X., He, W., Sun, Y., & Zhao, C. (2025). Research on the effect of diversified cropping on crop quality: A review. Agriculture, 15(5), Article 456. https://doi.org/10.3390/agriculture15050456

Fernando, Y., Ovenden, B., Sreenivasulu, N., & Butardo, V., Jr. (2025). Climate adaptation strategies for maintaining rice grain quality in temperate regions. Biology, 14(7), Article 801. https://doi.org/10.3390/biology14070801

Garcia, A., Gaju, O., Bowerman, A.F., Buck, S.A., Evans, J.R., Furbank, R.T., Gilliham, M., Millar, A.H., Pogson, B.J., Reynolds, M.P., Ruan, Y.-L., Taylor, N.L., Tyerman, S.D., & Atkin, O.K. (2023). Enhancing crop yields through improvements in the efficiency of photosynthesis and respiration. New Phytologist, 237(1), 60–77. https://doi.org/10.1111/nph.18545

Genesio, L., Bassi, R., & Miglietta, F. (2021). Plants with less chlorophyll: A global change perspective. Global Change Biology, 27(5), 959–967. https://doi.org/10.1111/gcb.15470

Guralnick, R., Crimmins, T., Grady, E., & Campbell, L. (2024). Phenological response to climatic change depends on spring warming velocity. Communications Earth & Environment, 5, Article 634. https://doi.org/10.1038/s43247-024-01807-8

Hachisuca, A.M.M., Abdala, M.C., de Souza, E.G., Rodrigues, M., Ganascini, D., & Bazzi, C.L. (2023). Growing degree-hours and degree-days in two management zones for each phenological stage of wheat (Triticum aestivum L.). International Journal of Biometeorology, 67, 1169–1183. https://doi.org/10.1007/s00484-023-02486-4

Hansen, M.M., Olivieri, I., Waller, D.M., Nielsen, E.E., & GeM Working Group. (2012). Monitoring adaptive genetic responses to environmental change. Molecular Ecology, 21(6), 1311–1329. https://doi.org/10.1111/j.1365-294X.2011.05463.x

Hou, W., Khan, M.R., Zhang, J., Lu, J., Ren, T., Cong, R., & Li, X. (2019). Nitrogen rate and plant density interaction enhances radiation interception, yield and nitrogen use efficiency of mechanically transplanted rice. Agriculture, Ecosystems & Environment, 269, 183–192. https://doi.org/10.1016/j.agee.2018.10.001

Hu, Q., Jiang, W., Qiu, S., Xing, Z., Hu, Y., Guo, B., Liu, G., Gao, H., Zhang, H., & Wei, H. (2020). Effect of wide-narrow row arrangement in mechanical pot-seedling transplanting and plant density on yield formation and grain quality of japonica rice. Journal of Integrative Agriculture, 19(5), 1197–1214. https://doi.org/10.1016/S2095-3119(19)62800-5

Ishimaru, T., Hlaing, K.T., Oo, Y.M., Lwin, T.M., Sasaki, K., Lumanglas, P.D., Simon, E.-V.M., Myint, T.T., Hairmansis, A., Susanto, U., Ayyenar, B., Muthurajan, R., Hirabayashi, H., Fukuta, Y., Kobayasi, K., Matsui, T., Yoshimoto, M., & Htun, T.M. (2022). An early-morning flowering trait in rice can enhance grain yield under heat stress field conditions at flowering stage. Field Crops Research, 277, Article 108400. https://doi.org/10.1016/j.fcr.2021.108400

Jan, M.F., Lin, Y., Liaqat, W., Altaf, M.T., Liu, C., Shuai, W., Cömertpay, G., Aziz, I., Albayrak, Ö., & Li, M. (2025). Unraveling the morphophysiological, biochemical, and yield responses of maize genotypes to contrasting nitrogen conditions using multivariate approaches. Turkish Journal of Agriculture and Forestry, 49(5), 823–846. https://doi.org/10.55730/1300-011X.3308

Jaya, M.H.I.S., Mubarok, S., Budiarto, R., Fakhrurroja, H., & Putra, S.D. (2025). Plant factory perspectives in support of fruit: Bibliometric analysis. International Journal of Agriculture and Biosciences, 14(5), 776–786. https://doi.org/10.47278/journal.ijab/2025.065

Jaya, M.H.I.S., Putra, S.D., & Sofi’i, I. (2023). Effect of light spectrum LED lettuce on IoT-based indoor farming. Biotropika: Journal of Tropical Biology, 11(1). https://doi.org/10.21776/ub.biotropika.2023.011.01.05

Kefford, B.J., Ghalambor, C.K., Dewenter, B., Poff, N.L., Hughes, J., Reich, J., & Thompson, R. (2022). Acute, diel, and annual temperature variability and the thermal biology of ectotherms. Global Change Biology, 28(23), 6872–6888. https://doi.org/10.1111/gcb.16453

Lambers, H., & Oliveira, R.S. (2019). Life cycles: Environmental influences and adaptations. In Plant physiological ecology (pp. 451–486). Springer. https://doi.org/10.1007/978-3-030-29639-1_11

Li, Y., Hou, R., & Tao, F. (2020). Interactive effects of different warming levels and tillage managements on winter wheat growth, physiological processes, grain yield and quality in the North China Plain. Agriculture, Ecosystems & Environment, 295, Article 106923. https://doi.org/10.1016/j.agee.2020.106923

Liu, L.-W. ;, Lu, C.-T. ;, Wang, Y.-M. ;, Lin, K.-H. ;, Ma, X. ;, Lin, W.-S., Chen, H.-H., Liu, L.-W., Lu, C.-T., Wang, Y.-M., Lin, K.-H., Ma, X., & Lin, W.-S. (2022). Rice (Oryza sativa L.) Growth Modeling Based on Growth Degree Day (GDD) and Artificial Intelligence Algorithms. Agriculture 2022, Vol. 12, Page 59, 12(1), 59. https://doi.org/10.3390/AGRICULTURE12010059

Liu, L.-W., Lu, C.-T., Wang, Y.-M., Lin, K.-H., Ma, X., & Lin, W.-S. (2022). Rice (Oryza sativa L.) growth modeling based on growth degree day (GDD) and artificial intelligence algorithms. Agriculture, 12(1), Article 59. https://doi.org/10.3390/agriculture12010059

Majumder, A., & Dhaliwal, L.K. (2024). Assessment of phenology and agro-climatic indices of direct-seeded and transplanted rice crop under Punjab conditions. Journal of Agricultural Physics, 24(1), 56–66. https://doi.org/10.13140/RG.2.2.22601.04966

Mohapatra, P.K., Sarkar, R.K., Panda, D., & Kariali, E. (2025a). Staging of rice plant growth and development. In Tillering behavior of rice plant (pp. 105–139). Springer. https://doi.org/10.1007/978-981-97-5235-5_4

Mohapatra, P.K., Sarkar, R.K., Panda, D., & Kariali, E. (2025b). Tiller development in rice. In Tillering behavior of rice plant (pp. 141–159). Springer. https://doi.org/10.1007/978-981-97-5235-5_5

Mubarok, S., Alissya, A., Drikarsa, D., Farida, F., Nuraini, A., Jaya, M.H.I.S., Rufaidah, F., & Abdulakasim, S. (2024). Combination effects of NPK fertilizer and benzyl amino purine (BAP) in accelerating Cattleya orchid vegetative growth. Ornamental Horticulture, 30, e242787. https://doi.org/10.1590/2447-536X.v30.e242787

Mwendwa, J.M., Brown, W.B., Weidenhamer, J.D., Weston, P.A., Quinn, J.C., Wu, H., & Weston, L.A. (2020). Evaluation of commercial wheat cultivars for canopy architecture, early vigour, weed suppression, and yield. Agronomy, 10(7), 983. https://doi.org/10.3390/agronomy10070983

Nasrudin, N., Dwiyani, M., Mardiansyah, D., & Taufik, R. (2025). Assimilate partitioning and agronomic performance of floating rice in flood-prone ecosystems of Indonesia. Current Applied Science and Technology, 26(2), e0266291. https://doi.org/10.55003/cast.2025.266291

Oladosu, Y., Rafii, M.Y., Magaji, U., Abdullah, N., Miah, G., Chukwu, S.C., Hussin, G., Ramli, A., & Kareem, I. (2018). Genotypic and phenotypic relationship among yield components in rice under tropical conditions. BioMed Research International, 2018, 8936767. https://doi.org/10.1155/2018/8936767

Otero, E.A., Miralles, D.J., & Benech-Arnold, R.L. (2021). Development of a precise thermal time model for grain filling in barley: A critical assessment of base temperature estimation methods from field-collected data. Field Crops Research, 260. https://doi.org/10.1016/j.fcr.2020.108003

Parida, A.K., Sekhar, S., Panda, B.B., Sahu, G., & Shaw, B.P. (2022). Effect of panicle morphology on grain filling and rice yield: Genetic control and molecular regulation. Frontiers in Genetics, 13, 876198. https://doi.org/10.3389/fgene.2022.876198

Postma, J.A., Hecht, V.L., Hikosaka, K., Nord, E.A., Pons, T.L., & Poorter, H. (2021). Dividing the pie: A quantitative review on plant density responses. Plant, Cell & Environment, 44(4), 1072–1094. https://doi.org/10.1111/pce.13968

Pullens, J.W.M., Sørensen, C.A.G., & Olesen, J.E. (2021). Temperature-based prediction of harvest date in winter and spring cereals as a basis for assessing viability for growing cover crops. Field Crops Research, 264, 108085. https://doi.org/10.1016/j.fcr.2021.108085

Putri, D.A.K., Dulbari, D., Sudrajat, D., Subarjo, S., & Jaya, M.H.I.S. (2025). Penentuan umur panen beberapa genotipe padi (Oryza sativa L.) berdasarkan satuan panas pada sistem budidaya organik dan non organik. Jurnal Agrotropika, 24(2), 387–399. https://doi.org/10.23960/ja.v24i2.11235

Qu, X., Kojima, D., Wu, L., & Ando, M. (2021). The losses in the rice harvest process: A review. Sustainability, 13(17), 9627. https://doi.org/10.3390/su13179627

Rahmat, B.P.N., Octavianis, G., Budiarto, R., Jadid, N., Widiastuti, A., Matra, D.D., Ezura, H., & Mubarok, S. (2023). SlIAA9 mutation maintains photosynthetic capabilities under heat-stress conditions. Plants, 12(2), 378. https://doi.org/10.3390/plants12020378

Safrudin, A., Dewi, R., & Dulbari, D. (2024). Comparative study of rice morphological and physiological characteristics of rice grown under organic and inorganic farming. Kultivasi, 23(3), 55286. https://doi.org/10.24198/kultivasi.v23i3.55286

Sanczuk, P., De Pauw, K., De Lombaerde, E., Luoto, M., Meeussen, C., Govaert, S., Vanneste, T., Depauw, L., Brunet, J., Cousins, S.A.O., Gasperini, C., Hedwall, P.-O., Iacopetti, G., Lenoir, J., Plue, J., Selvi, F., Spicher, F., Uria-Diez, J., Verheyen, K., Vangansbeke, P., & De Frenne, P. (2023). Microclimate and forest density drive plant population dynamics under climate change. Nature Climate Change, 13, 840–847. https://doi.org/10.1038/s41558-023-01744-y

Shirdelmoghanloo, H., Chen, K., Paynter, B.H., Angessa, T.T., Westcott, S., Khan, H.A., Hill, C.B., & Li, C. (2022). Grain-filling rate improves physical grain quality in barley under heat stress conditions during the grain-filling period. Frontiers in Plant Science, 13, 858652. https://doi.org/10.3389/fpls.2022.858652

Shofi, N.N., Arifianto, A.S., & Bintoro, M. (2022). Sistem peramalan waktu masak fisiologis benih padi menggunakan double exponential smoothing. Jurnal Teknologi Informasi dan Terapan, 9(1), 196.

Smith, M.R., Rao, I.M., & Merchant, A. (2018). Source-sink relationships in crop plants and their influence on yield development and nutritional quality. Frontiers in Plant Science, 9, 1889. https://doi.org/10.3389/fpls.2018.01889

Su, H., Wang, W., Lu, T., Hu, W., Lin, J., Fu, W., Liang, Y., Zeng, Y., Fu, G., Xiong, J., & Chen, T. (2025). Increased photosynthetic capacity and energy status contribute to higher grain yield in early rice. International Journal of Molecular Sciences, 26(4), 1508. https://doi.org/10.3390/ijms26041508

Sun, J., Gao, J., Wang, Z., Hu, S., Zhang, F., Bao, H., & Fan, Y. (2019). Maize canopy photosynthetic efficiency, plant growth, and yield responses to tillage depth. Agronomy, 9(1), 3. https://doi.org/10.3390/agronomy9010003

Suparman, Muljono, P., Saleh, A., & Priatna, W.B. (2025). Communication strategy in supporting adoption of superior rice varieties: The case of IPB 3S rice variety in Karawang, Indonesia. Pakistan Journal of Life and Social Sciences, 23(1), 2061–2072. https://doi.org/10.57239/PJLSS-2025-23.1.00162

Tausz-Posch, S., Tausz, M., & Bourgault, M. (2019). Elevated [CO2] effects on crops: Advances in understanding acclimation, nitrogen dynamics and interactions with drought and other organisms. Plant Biology, 22(S1), 38–51. https://doi.org/10.1111/plb.12994

Tokatlidis, I. (2022). Crop resilience via inter-plant spacing brings to the fore the productive ideotype. Frontiers in Plant Science, 13, 934359. https://doi.org/10.3389/fpls.2022.934359

Tu, J., Wen, F., Li, F., Chen, T., Feng, B., Xiong, J., Fu, G., Qin, Y., & Wang, W. (2025). Analysis of the relationship between assimilate production and allocation and the formation of rice quality. Agriculture, 15(9), 1011. https://doi.org/10.3390/agriculture15091011

Uphoff, N., Fasoula, V., Iswandi, A., Kassam, A., & Thakur, A.K. (2015). Improving the phenotypic expression of rice genotypes: Rethinking “intensification” for production systems and selection practices for rice breeding. The Crop Journal, 3(3), 174–189. https://doi.org/10.1016/j.cj.2015.04.001

Wang, Y., Burgess, S.J., de Becker, E.M., & Long, S.P. (2020). Photosynthesis in the fleeting shadows: An overlooked opportunity for increasing crop productivity? The Plant Journal, 101(4), 874–884. https://doi.org/10.1111/tpj.14663

Wang, Y., Lu, J., Ren, T., Hussain, S., Guo, C., Wang, S., Cong, R., & Li, X. (2017). Effects of nitrogen and tiller type on grain yield and physiological responses in rice. AoB PLANTS, 9(2), plx012. https://doi.org/10.1093/aobpla/plx012

Yagioka, A., Hayashi, S., Kimiwada, K., & Kondo, M. (2021). Sink production and grain-filling ability of a new high-yielding rice variety, Kitagenki. Field Crops Research, 260, 107991. https://doi.org/10.1016/j.fcr.2020.107991

Yue, X., Hu, Y., Zhang, H., & Schmidhalter, U. (2020). Evaluation of both SPAD reading and SPAD index on estimating the plant nitrogen status of winter wheat. International Journal of Plant Production, 14, 67–75. https://doi.org/10.1007/s42106-019-00068-2

Zhong, Y., Zhang, T., Qiao, W., Liu, W., Qiao, Y., Li, Y., Liu, M., Ma, Y., & Dong, B. (2024). Optimizing canopy spacing configuration enhances foxtail millet grain yield and water productivity by improving stalk lodging resistance in the North China Plain. European Journal of Agronomy, 158, 127230. https://doi.org/10.1016/j.eja.2024.127230

Zhou, C., Huang, Y., Jia, B., Wang, S., Dou, F., Samonte, S.O.P.B., Chen, K., & Wang, Y. (2019). Optimization of nitrogen rate and planting density for improving the grain yield of different rice genotypes in Northeast China. Agronomy, 9(9), 555. https://doi.org/10.3390/agronomy9090555

Zhou, M., & Yang, J. (2023). Delaying or promoting? Manipulation of leaf senescence to improve crop yield and quality. Planta, 258, 48. https://doi.org/10.1007/s00425-023-04204-1

Zhu, T., Fonseca De Lima, C.F., & De Smet, I. (2021). The heat is on: How crop growth, development, and yield respond to high temperature. Journal of Experimental Botany, 72(21), 7359–7373. https://doi.org/10.1093/jxb/erab308

Cover
Published
2026-06-29
How to Cite
Siahaan, Y. K., Dulbari, D., Maharani, J. S., & Jaya, M. H. I. S. (2026). Heat Unit–Based Prediction of Harvest Age in Rice under Different Planting Spacings and Genotypes. Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering), 15(3), 963–979. https://doi.org/10.23960/jtepl.v15i3.963-979