Adiredjo, A. L., Ardiarini, N. R. and Damanhuri. (2023). Genetic purity analysis using polymorphic SSR markers in rice genotypes (Oryza sativa L.) and their confirmation for the parental lines. Plant. Breed. Biotech. 11: 220–24.
Agustiany, E., Suryadi, E. and Rostini, N. (2017). Analisis korelasi dan sidik lintas karakter komponen hasil terhadap daya hasil padi sawah pada metode SRI (System of Rice Intensification). Kultivasi 16: 463–72.
Abookheili, F. A. and Mobasser, H. R. (2021). Effect of planting density on growth characteristics and grain yield increase in successive cultivations of two rice cultivars. Agrosystems, Geosci. Environ. 4: doi:10.1002/agg2.20213.
Ardiarini, N. R., Damanhuri, and Adiredjo, A. L. (2022). Genetic variability and gene action for several traits in the F4 and F5 populations of rice. Plant. Breed. Biotechnol. 10: 31–36. doi:10.9787/PBB.2022.10.1.31.
Aye, M., Thu, C. N. and Htwe, N. M. (2021). Sink-source relationships and their impact on yield components in rice: A comprehensive analysis. Field Crops Res. 42: 124-35.
BPSRI (2023). Perkembangan luas panen dan produksi padi dan jagung nasional. Ber. Resmi Stat. 16 (Agustus): 1–52. Https://Www.Bps.Go.Id/. (In Indonesian).
Chin, W. W. (1998). Modern methods for business research: The partial least squares approach for structural equation modeling. Lawrence Erlbaum Associates Publishers, Mahwah, New Jersey. pp: 295–336.
Dewey, J. R. and Lu, K. H. (1959). Correlation and path coefficient analysis of components of crested wheat grass seed production. Agron. 51: 515–18.
Gomez, A. A. and Gomez, K. A. (1995). Prosedur statistik untuk penelitian pertanian. UI Press, Jakarta. pp: 239–50.
Hastini, T., Darmawan and I. Ishaq. (2014). Penampilan agronomi 11 varietas unggul baru padi di Kabupaten Indramayu. Agrotrop. 4: 73–81. (In Indonesian)
Heryani, N., Kartiwa, B., Hamdani, A. and Sutrisno, N. (2020). Pengelolaan tanah dan air pada budidaya padi gogo dan palawija di bawah tegakan tanaman tahunan untuk meningkatkan produktivitas lahan. Sumber daya lahan. 14: 1-14. (In Indonesian)
Kumar, S., Singh, S. and Mehla, O. P. (2025). Growth and yield performance of direct-seeded rice (Oryza sativa L.) hybrids under integrated nutrient management. Res. Crop. 26: 223-28.
Lenka, D. and Misr, B. (1973). Path coefficient analysis of yield in rice varieties. Indian J. Agric. Sci. 43: 376-79.
Li, R., Li, M., Ashraf, U., Liu, S. and Zhang, J. (2019). Exploring the relationships between yield and yield-related traits for rice varieties released in China from 1978 to 2017. Front. Plant. Sci. 10: 1-12.
Lohr, S. L. (2021). Sampling: Design and Analysis, 3rd Edition. Chapman and Hall/CRC, New York. pp: 674.
Mahajan, R. C., Wadikar, P. B., Pole, S. P. and Dhuppe, M. V. (2021). Correlation and path analysis of grain yield and its components in rice genotypes under tropical conditions. Int. J. Curr. Microbiol. Appl. Sci. 10: 651–59.
Narasimhan, D., Kumari, S. and Reddy, V. R. (2020). Exploitation of genetic variability and correlation studies for yield improvement in rice. Pharmacog.Phytochem. 9: 1245–51.
Patra, S. (2025). Panicle diversity of aromatic rice (Oryza sativa L.) under old alluvial soil of the Burdwan region. Farm. Manage. 10: 96-99.
Perween, S., Kumar, A., Adan, F. and Danish, M. (2020). The inter-relationship among yield and yield attributing traits of rice (Oryza sativa L.) under irrigated conditions through correlation coefficient studies and path analysis. Int. J. Chem. Stud. 8: 1409–14.
Sastrosupadi, A. (2000). Rancangan Percobaan Praktis Bidang Pertanian. Kanisius, Yogyakarta. pp: 276. (In Indonesian)
Sharma, A., Kumar, V., Singh, R. and Gupta, N. (2023). Direct and indirect effects of morpho-physiological traits on grain yield in rice under different environmental conditions. Cereal Res. Commun. 51: 345–55.
Singh, P., Bohra, A., Pandey, M., Jha, U. C. and Singh, N. P. (2020). Defining “ideotype” for enhanced yields in rice (Oryza sativa L.) based on correlation and path coefficient analyses. Agric. Res. 9: 395–406.
Sur, W. A. A., Machfiroh, I. S. and Iskandar, R. (2023). Modeling the influencing factors of remaining operation results using multiple linear regression. J. Varian 7: 27–36.
Tiwari, D. N., Pandey, M. P., Bhusal, T. N., and Manandhar, H. K. (2024). Genetic parameters, correlation, and stability analysis of aromatic rice landraces of Nepal. Nepal Agric. Res. Council 10: 80–96.
Wicaksono, A. F., Ariffin, A., Ardiarini, N. R., Erika, N. P., Roviq, M. and Adiredjo, A. L. (2025). Preliminary yield assessment of the rice (Oryza sativa L.) F7 promising lines at a low altitude. Breed.Genet. 57: 1927-37.
Yanuar, A. D. and Adiredjo, A. L. (2018). Persilangan beberapa varietas padi gogo dan padi sawah (Oryza sativa L.) untuk menghasilkan F1. Produksi Tanaman 6: 2022–29. (In Idonesian)
Li, F., Xie, J., Zhu, X., Wang, X., Zhao, Y., Ma, X., Zhang, Z., Rashid, M.A., Zhang, Z., Zhi, L. and Zhang. (2018). Genetic basis underlying correlations among growth duration and yield traits revealed by GWAS in rice (Oryza sativa L.). Front. Plant. Sci. 9: 1-13.
Agustiany, E., Suryadi, E. and Rostini, N. (2017). Analisis korelasi dan sidik lintas karakter komponen hasil terhadap daya hasil padi sawah pada metode SRI (System of Rice Intensification). Kultivasi 16: 463–72.
Abookheili, F. A. and Mobasser, H. R. (2021). Effect of planting density on growth characteristics and grain yield increase in successive cultivations of two rice cultivars. Agrosystems, Geosci. Environ. 4: doi:10.1002/agg2.20213.
Ardiarini, N. R., Damanhuri, and Adiredjo, A. L. (2022). Genetic variability and gene action for several traits in the F4 and F5 populations of rice. Plant. Breed. Biotechnol. 10: 31–36. doi:10.9787/PBB.2022.10.1.31.
Aye, M., Thu, C. N. and Htwe, N. M. (2021). Sink-source relationships and their impact on yield components in rice: A comprehensive analysis. Field Crops Res. 42: 124-35.
BPSRI (2023). Perkembangan luas panen dan produksi padi dan jagung nasional. Ber. Resmi Stat. 16 (Agustus): 1–52. Https://Www.Bps.Go.Id/. (In Indonesian).
Chin, W. W. (1998). Modern methods for business research: The partial least squares approach for structural equation modeling. Lawrence Erlbaum Associates Publishers, Mahwah, New Jersey. pp: 295–336.
Dewey, J. R. and Lu, K. H. (1959). Correlation and path coefficient analysis of components of crested wheat grass seed production. Agron. 51: 515–18.
Gomez, A. A. and Gomez, K. A. (1995). Prosedur statistik untuk penelitian pertanian. UI Press, Jakarta. pp: 239–50.
Hastini, T., Darmawan and I. Ishaq. (2014). Penampilan agronomi 11 varietas unggul baru padi di Kabupaten Indramayu. Agrotrop. 4: 73–81. (In Indonesian)
Heryani, N., Kartiwa, B., Hamdani, A. and Sutrisno, N. (2020). Pengelolaan tanah dan air pada budidaya padi gogo dan palawija di bawah tegakan tanaman tahunan untuk meningkatkan produktivitas lahan. Sumber daya lahan. 14: 1-14. (In Indonesian)
Kumar, S., Singh, S. and Mehla, O. P. (2025). Growth and yield performance of direct-seeded rice (Oryza sativa L.) hybrids under integrated nutrient management. Res. Crop. 26: 223-28.
Lenka, D. and Misr, B. (1973). Path coefficient analysis of yield in rice varieties. Indian J. Agric. Sci. 43: 376-79.
Li, R., Li, M., Ashraf, U., Liu, S. and Zhang, J. (2019). Exploring the relationships between yield and yield-related traits for rice varieties released in China from 1978 to 2017. Front. Plant. Sci. 10: 1-12.
Lohr, S. L. (2021). Sampling: Design and Analysis, 3rd Edition. Chapman and Hall/CRC, New York. pp: 674.
Mahajan, R. C., Wadikar, P. B., Pole, S. P. and Dhuppe, M. V. (2021). Correlation and path analysis of grain yield and its components in rice genotypes under tropical conditions. Int. J. Curr. Microbiol. Appl. Sci. 10: 651–59.
Narasimhan, D., Kumari, S. and Reddy, V. R. (2020). Exploitation of genetic variability and correlation studies for yield improvement in rice. Pharmacog.Phytochem. 9: 1245–51.
Patra, S. (2025). Panicle diversity of aromatic rice (Oryza sativa L.) under old alluvial soil of the Burdwan region. Farm. Manage. 10: 96-99.
Perween, S., Kumar, A., Adan, F. and Danish, M. (2020). The inter-relationship among yield and yield attributing traits of rice (Oryza sativa L.) under irrigated conditions through correlation coefficient studies and path analysis. Int. J. Chem. Stud. 8: 1409–14.
Sastrosupadi, A. (2000). Rancangan Percobaan Praktis Bidang Pertanian. Kanisius, Yogyakarta. pp: 276. (In Indonesian)
Sharma, A., Kumar, V., Singh, R. and Gupta, N. (2023). Direct and indirect effects of morpho-physiological traits on grain yield in rice under different environmental conditions. Cereal Res. Commun. 51: 345–55.
Singh, P., Bohra, A., Pandey, M., Jha, U. C. and Singh, N. P. (2020). Defining “ideotype” for enhanced yields in rice (Oryza sativa L.) based on correlation and path coefficient analyses. Agric. Res. 9: 395–406.
Sur, W. A. A., Machfiroh, I. S. and Iskandar, R. (2023). Modeling the influencing factors of remaining operation results using multiple linear regression. J. Varian 7: 27–36.
Tiwari, D. N., Pandey, M. P., Bhusal, T. N., and Manandhar, H. K. (2024). Genetic parameters, correlation, and stability analysis of aromatic rice landraces of Nepal. Nepal Agric. Res. Council 10: 80–96.
Wicaksono, A. F., Ariffin, A., Ardiarini, N. R., Erika, N. P., Roviq, M. and Adiredjo, A. L. (2025). Preliminary yield assessment of the rice (Oryza sativa L.) F7 promising lines at a low altitude. Breed.Genet. 57: 1927-37.
Yanuar, A. D. and Adiredjo, A. L. (2018). Persilangan beberapa varietas padi gogo dan padi sawah (Oryza sativa L.) untuk menghasilkan F1. Produksi Tanaman 6: 2022–29. (In Idonesian)
Li, F., Xie, J., Zhu, X., Wang, X., Zhao, Y., Ma, X., Zhang, Z., Rashid, M.A., Zhang, Z., Zhi, L. and Zhang. (2018). Genetic basis underlying correlations among growth duration and yield traits revealed by GWAS in rice (Oryza sativa L.). Front. Plant. Sci. 9: 1-13.
