Cite

ABEDINPOUR, M. 2015. Evaluation of growth-stage-specific crop coefficients of maize using weighing lysimeter. In Soil ---amp--- Water Research, vol. 10, no. 2, pp. 99–104. DOI: https://doi.org/10.17221/63/2014-SWR Search in Google Scholar

AKANDA, A. R. – RAHMAN, M. S. – ISLAM, M. S. – MILA, A. J. 2017. Crop coefficient of a popular potato variety in Bangladesh. In Bangladesh Journal of Agricultural Research, vol. 42, no. 1, pp. 67–76. DOI: https://doi.org/10.3329/bjar.v42i1.31976 Search in Google Scholar

ALATAWAY, A. – AL-GHOBAR, H. – MOHAMMAD, F. – DEWIDAR, A. 2019. Lysimeter-based water use and crop coefficient of drip-irrigated potato in an arid environment. In Agronomy, vol. 9, no. 11, article no. 756. DOI: https://doi.org/10.3390/agronomy9110756 Search in Google Scholar

Al-AWWADI, N. A. J. 2017. Potential health benefits and scientific review of ginger. In Journal of Pharmacognosy and Phytotherapy, vol. 9, no. 7, pp. 111–116. DOI: https://doi.org/10.5897/JPP2017.0459 Search in Google Scholar

ALCARAS, L. M. A. – ROUSSEAUX, M. C. – SEARLES, P. S. 2016. Responses of several soil and plant indicators to post-harvest regulated deficit irrigation in olive trees and their potential for irrigation scheduling. In Agricultural Water Management, vol. 171, pp. 10–20. DOI: https://doi.org/10.1016/j.agwat.2016.03.006 Search in Google Scholar

ALLEN, R. G. – PEREIRA, L. S. – RAES, D. – SMITH, M. 1998. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper no. 56. Rome : Food and Agricultural Organization of the United Nations, 300 pp. ISBN 92-5-104219-5. Search in Google Scholar

ALVARENGA, A. A. – EVARISTO, M. C. – ERICO, C. – LIMA, J. – MARCELO, M. M. 2004. Effect of different light levels on the initial growth and photosynthesis of Croton urucurana Baill. in Southeastern Brazil. In R. Árvore, Viçosa-MG, vol. 27, no. 1, pp. 53–57. Available at: http://www.scielo.br/pdf/rarv/v27n1/15921.pdf Search in Google Scholar

ASDAK, C. 1995. Hydrology and Watershed Management. Yogyakarta : Gadjah Mada University Press, 618 pp. Search in Google Scholar

BABAEE, M. – SHOKAT-NAGHADEHB, A. – AHMADPARIA, H. – NABIJALALI, M. 2019. Comparison of different methods with lysimeter measurements in estimation of rice evapotranspiration in Sari Region. In Revista Ingeniería UC, vol. 26, no. 2, pp. 175–184. Available at: http://servicio.bc.uc.edu.ve/ingenieria/revista/v26n2/art05.pdf Search in Google Scholar

BRYLA, D. R. – TROUT, T. J. – AYARS, J. E. 2010. Weighing lysimeters for developing crop coefficients and efficient irrigation practices for vegetable crops. In Horticultural Science, vol. 45, no. 11, pp. 1597–1604. Available at: https://www.ars.usda.gov/ARSUserFiles/34338/PDF/2010/2010_HortScience_1597_1604.pdf Search in Google Scholar

CHAUHAN, S. 2015 Fertigation management in turmeric (Curcuma longa L.) based cropping system. PhD Thesis, The Department of Agronomy, College of Agriculture. Rajendranagar Hyderabad Agriculture University, India. Search in Google Scholar

CHICCO, D. – WARRENS, M. J. – JURMAN, G. 2021. The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. In PeerJ Computer Science, vol. 7, article no. e623. DOI: https://doi.org/10.7717/peerj-cs.623 Search in Google Scholar

CHITRA, R. – HAVARADDI, R. M. – SUBRAMANIAN, S. – SURESH, J. 2017. Effect of scheduling of drip irrigation on growth, yield and water use efficiency of turmeric (Curcuma longa L.) var. CO2. In Journal of Spices and Aromatic Crops, vol. 26, no. 1, pp. 8–15. DOI: https://doi.org/10.25081/josac.2017.v26.i1.801 Search in Google Scholar

CHOI, E. C. C. 1994. Parameters affecting the intensity of wind-driven rain on the front face of a building. In Journal of Wind Engineering and Industrial Aerodynamics, vol. 53, no. 1–2, pp. 1–17. DOI: https://doi.org/10.1016/0167-6105(94)90015-9 Search in Google Scholar

DHANIK, J. – ARYA, N. – NAND, V. 2017. A review on Zingiber officinale. In Journal of Pharmacognosy and Phytochemistry, vol. 6, no. 3, pp. 174–184. Available at: https://www.phytojournal.com/archives/2017/vol6issue3/PartC/6-2-17-350.pdf Search in Google Scholar

DOORENBOS, J. – PRUITT, W. O. 1977. Crop Water Requirements. FAO Irrigation and Drainage Paper no. 24. Rome : Food and Agricultural Organization of the United Nations. 144 pp. Search in Google Scholar

FRISKA, M. – DARYONO, B. S. 2017. The phenotype characters of polyploid red ginger (Zingiber officinale var. rubrum) induced by colchicine. In Al-Kauniyah: Journal of Biology, vol. 10, no. 2, pp. 91–97. Available at: https://media.neliti.com/media/publications/270275-karakter-fenotip-jahe-merah-zingiber-off-547ec71b.pdf Search in Google Scholar

GAO, Y. – DUAN, A. – SUN, J. – LI, F. – LIU, Z. – LIU, H. – LIU, Z. 2009. Crop coefficient and water-use efficiency of winter wheat/spring maize strip intercropping. In Field Crops Research, vol. 111, no. 1–2, pp. 65–73. DOI: https://doi.org/10.1016/j.fcr.2008.10.007 Search in Google Scholar

GARCIA-TEJERO, I. F. – LÓPEZ-BORRALLO, D. – MIRANDA, L. – MEDINA, J. J. – ARRIAGA, J. – MURIEL-FERNÁNDEZ, J. L. – MARTÍNEZ-FERRI, E. 2018. Estimating strawberry crop coefficients under plastic tunnels in Southern Spain by using drainage lysimeters. In Scientia Horticulturae, vol. 231, pp. 233–240. DOI: https://doi.org/10.1016/j.scienta.2017.12.020 Search in Google Scholar

GOULART, F. S. 1995. Super Healing Foods: Discover the Incredible Healing Power of Natural Foods. Englewood Cliffs, NJ : Prentice Hall Press. 416 pp. ISBN 978-0131088382. Search in Google Scholar

GRZANNA R. – LINDMARK, L. – FRONDOZA, C. G. 2005. Ginger – an herbal medicinal product with broad anti-inflammatory actions. In Journal of Medicinal Food, vol. 8, no. 2, pp. 125–132. DOI: https://doi.org/10.1089/jmf.2005.8.125 Search in Google Scholar

HAPSOH, Y. – HASANAH, H. – JULIANTI, E. 2008. Ginger Cultivation and Postharvest Technology. Medan : USU Press, 112 pp. (In Indonesian: Budidaya dan Teknologi Pascapanen Jahe). Search in Google Scholar

HONG, M. – ZENG, W. – MA, T. – LEI, G. – ZHA, Y. – FANG, Y. – WU, J. – HUANG, J. 2017. Determination of growth stage-specific crop coefficients (Kc) of sunflowers (Helianthus annuus L.) under salt stress. In Water, vol. 9, no. 3, article no. 215. DOI: https://doi.org/10.3390/w9030215 Search in Google Scholar

HUTABARAT, N. C. – SUPRIYANA, S. – SUHARTONO, S. 2020. The effect of extract red ginger (Zingiber officinale var. rubrum) on reducing the blood pressure level among maternal with gestasional hypertension. In International Journal of Nursing and Health Services, vol. 3, no. 4, pp. 479–488. Available at: https://www.ijnhs.net/index.php/ijnhs/article/view/219/167 Search in Google Scholar

JABBOROVA, D. – ENAKIEV, Y. – SULAYMANOV, K. – KADIROVA, D. – ALI, A. – ANNAPURNA, K. 2021. Plant growth promoting bacteria Bacillus subtilis promote growth and physiological parameters of Zingiber officinale Roscoe. In Plant Science Today, vol. 8, no. 1, pp. 66–71. DOI: https://doi.org/10.14719/pst.2021.8.1.997 Search in Google Scholar

JAIDKA, M. – KAUR, R. – SEPAT, S. 2018. Scientific cultivation of ginger (Zingiber officinale). In Advances in Vegetable Agronomy, pp. 191–197. ISBN 978-93-83168-17-0. Available at: https://www.researchgate.net/publication/327282383 Search in Google Scholar

LI, I. – CHEN, F. – YAO, D. – WANG, J. – DING, N. – LIU, X. 2010. Balanced fertilizer for ginger production – why potassium is important. In Better Crops, vol. 94, no. 1, pp. 25–27. Search in Google Scholar

LIU, X. – XU, C. – ZHONG, X. – LI, Y. – YUAN, X. – CAO, J. 2017. Comparison of 16 models for reference crop evapotranspiration against weighing lysimeter measurement. In Agricultural Water Management, vol. 184, pp. 145–155. DOI: https://doi.org/10.1016/j.agwat.2017.01.01727 Search in Google Scholar

MAVI, H. S. – TUPPER, G. J. 2004. Agrometeorology Principles and Application of Climate Studies in Agriculture. Boca Raton : CRC Press, 447 pp. ISBN 9780429078378. Search in Google Scholar

MENEGHELLI, C. M. – KRAUSE, M. R. – SCHMIDT, J. – COLOMBO, J. N. – VIEIRA, G. H. S. 2020. Performance of ginger crop under different irrigation depths. In Bioscience Journal, vol. 36, no. 3, pp. 783–791. DOI: https://doi.org/10.14393/BJ-v36n3a2020-47717 Search in Google Scholar

PICCINNI, G. – KO, J. – MAREK, T. – HOWELL, T. 2009. Determination of growth-stage-specific crop coefficients (Kc) of maize and sorghum. In Agricultural Water Management, vol. 96, no. 12, pp. 1698–1704. DOI: https://doi.org/10.1016/j.agwat.2009.06.024 Search in Google Scholar

QIAN, Y. – WANG, W. – LEUNG, L. R. – KAISER, D. P. 2007. Variability of solar radiation under cloud-free skies in China: The role of aerosols. In Geophysical Research Letters, vol. 34, article no. L12804. DOI: https://doi.org/10.1029/2006GL028800 Search in Google Scholar

READER’S DIGEST. 2004. Foods that Harm Foods that Heal. New York : The Reader’s Digest Association Inc. 400 pp. ISBN 978-0762106059. Search in Google Scholar

ROSTIANA, O. – BERMAWIE, N. – RAHARDJO, M. 2016. Operational Procedure Standard of Ginger, Turmeric, Aromatic Ginger, and Temulawak Cultivation. Bogor : Research Institute for Spices and Medicinal Plants. (In Indonesian: Standar Prosedur Operasional (SOP) budidaya jahe, kencur, kunyit, dan temulawak) Search in Google Scholar

RUKMANA, R. 2000. Ginger Farming, Series Cultivation. Yogyakarta : Kanisius Press. (In Indonesian: Usaha tani jahe, seri budi daya) Search in Google Scholar

SANEWSKI, G. M. 2002. Rhizome and fibre development in early harvest ginger (Zingiber officinale Rosc). Brisbane : School of Land, Crop and Food Sciences, The University of Queensland, PhD Thesis, 201 pp. Search in Google Scholar

SANTOSO, H. B. 2008. Variety and Efficacy of Medicinal Plants. Yogyakarta : Agromedia Pustaka Press. (In Indonesian: Ragam dan khasiat tanaman obat) Search in Google Scholar

SAUNDERS, L. – RUSSEL, R. A. – CRABB, D. P. 2012. The coefficient of determination: What determines a useful R2 statistic? In Investigative Ophthalmology ---amp--- Visual Science, vol. 53, no. 11, pp. 6830–6832. DOI: https://doi.org/10.1167/iovs.12-10598 Search in Google Scholar

SHAO, H. B. – CHU, L. Y. – JALEEL, C. A. – ZHAO, C. X. 2008. Water-deficit stress-induced anatomical changes in higher plant. In Comptes Rendus Biologies, vol. 331, no. 3, pp. 215–225. DOI: https://doi.org/10.1016/j.crvi.2008.01.002 Search in Google Scholar

SINAMBELA, S. D. – ARISWOYO, S. D. – SITEPU, H. R. 2014. Determine the determinant coefficient between the estimation of M with Welsch type with least trimmed square in data that has outliers (In Indonesian: Menetukan koefisien determinasi antara estimasi m dengan type welsh dengan least trimmed square dalam data yang mempunyai pencilan). In Saintia Matematika, vol. 2, no. 3, pp. 225–235. Search in Google Scholar

SOFIYUDDIN H. A. – MARTIEF, L. M. – SETIAWAN, B. I. – ARIF, C. 2010. Evaluation of crop coefficients from water consumption in paddy fields. In 6th Asian Regional Conference of the International Commission on Irrigation and Drainage. Yogyakarta : Universitas Gadjah Mada. Search in Google Scholar

SUDEWO, B. 2006. Popular Medicinal Plants. Yogyakarta : Agromedia Pustaka Press. (In Indonesian: Tanaman obat popular) Search in Google Scholar

SUGIYONO. 2011. Quantitative, Qualitative and R---amp---D Research Methodolgy. Bandung, Indonesia : Alpabeta. ISBN 9798433640. (In Indonesian: Metode penelitian kuantitatif kualitatif dan R---amp---D) Search in Google Scholar

TAHASHILDAR, M. – BORA, P. K. – RAY, L. I. P. – THAKURIA, D. 2015. Determination of crop coefficient for capsicum (Capsicum annumm L.) in Eastern Himalayan Region through field lysimeter. In Indian Journal of Dryland Agricultural Research and Development, vol. 30, no. 1, pp. 15–23. DOI: https://doi.org/10.5958/2231-6701.2015.00003.2 Search in Google Scholar

THORFIANI, D. – SAKTI, T. E. 2019. Application of personal selling product knowledge at the state savings bank Cerebon, Indonesia. In Journal of Business and Marketing, vol. 9, no. 2, pp. 52–62. (In Indonesian: Penerapan personal selling product knowledge pada bank tabungan negar Cirebon, Indonesia) Search in Google Scholar

ZHANG, D. 2017. A coefficient of determination for generalized linear models. In The American Statistician, vol. 71, no. 4, pp. 310–316. DOI: https://doi.org/10.1080/00031305.2016.1256839 Search in Google Scholar

eISSN:
1338-5267
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Engineering, Introductions and Overviews, other