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Rizki Maulida
Rizki Maulida Mohon Tunggu... Universitas Jember

Mahasiswa Program Studi Agroteknologi Universitas Jember

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Ilmu Alam & Tekno

The Strategis for Preventing Mechanical Contamination In Rice Seed Production To Preserve The Genetic Purity And Quality

29 Juni 2025   11:41 Diperbarui: 29 Juni 2025   11:41 40
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Ilmu Alam dan Teknologi. Sumber ilustrasi: PEXELS/Anthony

References:

A. (2023). Decision support model of rice seeds selection using hybrid multi criteria decision making. International Journal for Multidisciplinary Research, 5(3). https://doi.org/10.36948/ijfmr.2023.v05i03.3987\

Adiredjo, A. and Ardiarini, N. (2023). Genetic purity analysis using polymorphic ssr markers in rice genotypes (oryza sativa l.) and their confirmation for the parental lines. Plant Breeding and Biotechnology, 11(3), 220-224. https://doi.org/10.9787/pbb.2023.11.3.220

DanQing, Y., Jian-ming, X., Lou, J., Gu, Q., Liu, J., Zhang, Y., ... & Zhang, W. (2021). Identification of seed purity on hybrid japonica rice using ssr markers. Molecular Plant Breeding. https://doi.org/10.5376/mpb.2021.12.0025

Fitriani, F., Amri, Y., Bahri, S., & Nadilla, F. (2021). Response of seed bioinvoguration with plant growth promoting rhizobacteria (pgpr) on growth and productivity of rice gogo. Bioeduscience, 5(1), 57-61. https://doi.org/10.22236/j.bes/515739

Ghoreyshi, S., Firouzi, S., Marzban, S., & RadGoudarzi, M. (2022). Rice seedling nursery: the new approach to develop local small enterprises. Idesia (Arica), 40(4), 113-123. https://doi.org/10.4067/s0718-34292022000400113

Huang, Z., Rodriguez, J., Matsuo, R., & Caicedo, A. (2021). Assessing physiological and genetic evidence for evolution of shared weedy rice traits at the vegetative growth stage. Frontiers in Agronomy, 3. https://doi.org/10.3389/fagro.2021.601414

Kim, H. and Lee, Y. (2021). Spatiotemporal assembly of bacterial and fungal communities of seed-seedling-adult in rice. Frontiers in Microbiology, 12. https://doi.org/10.3389/fmicb.2021.708475

Liu, W., Zeng, S., Guiju, W., Li, H., & Chen, F. (2021). Rice seed purity identification technology using hyperspectral image with lasso logistic regression model. Sensors, 21(13), 4384. https://doi.org/10.3390/s21134384

SHASHIBHUSHAN, D., PRADEEP, T., & K., R. (2022). Hybrid purity analysis of rice using micro satellite markers. Asian Journal of Microbiology Biotechnology and Environmental Sciences, 24(04), 665-668. https://doi.org/10.53550/ajmbes.2022.v24i04.006

SONG, W., Wan, Y., Zhou, B., Kuang, F., Xiong, W., Liao, J., ... & Zhang, S. (2023). Design and experiment of combined cavity-type precision hole-drop

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