Main Article Content
Abstract
Growth traits and yield components of rice plants affect yield. The magnitude of this relationship is seen from the correlation value between characters, and the direct and indirect effects are seen from the cross-fingerprint value. The study aims to determine which characters have a correlation with rice plant yield and their direct and indirect effects. The study was conducted from July 2023 to February 2024. The research location was in the rice fields of SPA Hamlet, Rias Village, Toboali, South Bangka Regency. The study used an experimental method, with a Randomized Block Design (RAK). The study was divided into 4 experimental blocks. The treatments given were 10 superior varieties consisting of 8 inbred varieties (Inpari 32 HDB, Inpari 33, Inpari 42 Agritan GSR, Inpari 49 Jembar, Ciherang, Siliwangi, Padjajaran Agritan, and Cakrabuana Agritan) and 2 hybrid varieties (Mapan P05 and Bridantara 8). Data analysis was using correlation analysis and path analysis with Excel and SPSS applications. The results of the correlation analysis showed that only leaf width correlated with dry weight of grain. Leaf width, plant height and number of productive tillers had the highest direct influence on yield. Leaf width characters can be recommended as selection characters in rice breeding.
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References
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- BPS BABEL (Central Statistics Agency of Bangka Belitung Islands Province). 2022. Harvested area and rice production in Bangka Belitung Islands Province 2022.
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- Afa, L., I. Uge, and A. Aysyah. 2021. Correlation between yield and yield components of several local upland rice cultivars ( Oryza sativa L.) of Southeast Sulawesi in two cultivation systems. Agrium Journal 18(1):9–16.
- Amalia, R. R. O. R. Prasetyo, and K. Prasetyo. 2019. Analysis of rice productivity gap in Java and outside Java. p. 161–170.
- Armandoni, E. A., D. Saptadi, E. D. Mustikarini, and G. I. Prayoga. 2023. Correlation and path analysis of germination and agronomic traits contributing to rice ( Oryza sativa L.) yield under acid stress. 33:124–139.
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- Hamdani, K. K., and Y. Haryati. 2021. Comparison of yield potential of several superior varieties of lowland rice. AGRIC: Journal of Agricultural Sciences 33(1):57–66.
- Jeke, E., T. Mzengeza, K. Kyung, C. Imani, P. P. Lifuwu, and P. O. Box. 2021. Correlation analysis and path coefficients of yield traits and components. International Journal of Agriculture and Technology 1–9.
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- Maulana, W., and S. Wagiyana. 2017. Response of several rice varieties (Oryza sativa L.) to rice stem borer and grasshopper (Leptocorisa acuta Thubn.) attacks. Agrovigor: Journal of Agroecotechnology 10(1):21–27. https://doi.org/10.21107/agrovigor.v10i1.2654.
- Muzammil, Ahmadi, and S. Puspita. 2019. Adaptability of VUB paddy in new opening land in South Bangka. https://repository.pertanian.go.id/handle/123456789/11847.
- Nasution, M. A. 2010. Correlation and cross-scan analysis between morphological characters and fruit components of pineapple plants (Ananas comosus L. Merr.). Crop Agro Journal 3(1):1–9.
- Noviyanti, S., S. Dwiwanti, and Kusmiyati. 2020. Adoption of innovation in the use of new superior varieties of lowland rice (Oryza sativa L.) in Cilaku District, Cianjur Regency, West Java Province. Journal of Research Innovation 1(4):771–782.
- Okasa, A. M., R. Sjahril, M. Riadi, M. Mahendradatta, T. Sato, K. Toriyama, K. Ishii, Y. Hayashi, and T. Abe. 2021. Correlation and path coefficient analysis of grain yield and its components in Toraja land-race aromatic rice mutants induced by heavy ion beam. Asian Journal of Plant Sciences 20(3):406–413. https://doi.org/10.3923/ajps.2021.406.413.
- Safriyani, E., M. Hasmeda, M. Munandar, and F. Sulaiman. 2019. Correlation of growth components and yield in integrated rice-Azolla farming. Journal of Suboptimal Land 7(1):59–65. https://doi.org/10.33230/jlso.7.1.2018.344.
- Wardana, R., and I. Hariyati. 2017. Optimization of the number of productive rice tillers with Macak-macak irrigation and the addition of P and K fertilizers. Scientific Journal of Innovation 16(3):28–32. https://doi.org/10.25047/jii.v16i3.313.
- Widyaningtias, L. A. M., P. Yudono, and S. Supriyanta. 2020. Identification of morphological and agronomic characters determining rice panicle emptiness (Oryza sativa L.). Vegetalika 9(2):399. https://doi.org/10.22146/veg.50721.
References
BPS (Central Statistics Agency). 2022. Prevalence of insufficient food consumption. https://sirusa.bps.go.id/sirusa/index.php/indikator/1455.
BPS BABEL (Central Statistics Agency of Bangka Belitung Islands Province). 2022. Harvested area and rice production in Bangka Belitung Islands Province 2022.
DEPTAN (Department of Agriculture). 2003. Rice plant characterization and evaluation system guide. Secretariat of the National Germplasm Commission, Bogor.
Ministry of Agriculture. 2022. Operational instructions for variety display for fiscal year 2023. Directorate General of Food Crops, Jakarta. https://tanamanpangan.pertanian.go.id.
Abdullah, B., S. Tjokrowidjojo, and Sularjo. 2008. Development and prospects of new type rice assembly in Indonesia. Journal of Agricultural Research and Development 27(1):1–9.
Afa, L., I. Uge, and A. Aysyah. 2021. Correlation between yield and yield components of several local upland rice cultivars ( Oryza sativa L.) of Southeast Sulawesi in two cultivation systems. Agrium Journal 18(1):9–16.
Amalia, R. R. O. R. Prasetyo, and K. Prasetyo. 2019. Analysis of rice productivity gap in Java and outside Java. p. 161–170.
Armandoni, E. A., D. Saptadi, E. D. Mustikarini, and G. I. Prayoga. 2023. Correlation and path analysis of germination and agronomic traits contributing to rice ( Oryza sativa L.) yield under acid stress. 33:124–139.
Aryawati, S. A. N., and P. Sutami. 2019. Performance of irrigated rice varieties and income increase through integrated plant control (PTT) assistance in Bali Province. Journal of Agricultural Technology Assessment and Development 22(1):53–65.
Chen, K., A. Lyskowski, L. Jaremko, and M. Jaremko. 2021. Genetic and molecular factors determining grain weight in rice. Frontiers in Plant Science 12(1):1–20. https://doi.org/10.3389/fpls.2021.605799.
Güneri, Ö. İ., A. Göktaş, and U. Kayalı. 2017. Path analysis and determining the distribution of indirect effects via simulation. Journal of Applied Statistics 44(7):1181–1210. https://doi.org/10.1080/02664763.2016.1201793.
Hamdani, K. K., and Y. Haryati. 2021. Comparison of yield potential of several superior varieties of lowland rice. AGRIC: Journal of Agricultural Sciences 33(1):57–66.
Jeke, E., T. Mzengeza, K. Kyung, C. Imani, P. P. Lifuwu, and P. O. Box. 2021. Correlation analysis and path coefficients of yield traits and components. International Journal of Agriculture and Technology 1–9.
Jonatan, M., and T. B. Ogie. 2020. Disease control using biopesticides on rice plants ( Oryza sativa L.). Journal of Applied Agrotechnology 1(1):11–13. https://ejournal.unsrat.ac.id/index.php.
Kartina, N., B. P. Wibowo, Y. Widyastuti, and I. A. Rumanti. 2016. Correlation and cross-traits of hybrid rice agronomic characters. Indonesian Journal of Agricultural Sciences 21(2):76–83. https://doi.org/10.18343/jipi.21.2.76.
Krishna, K., Y. C. Mohan, V. G. Shankar, G. Parimala, and L. Krishna. 2022. Correlation and path analysis in rice (Oryza sativa L.) CMS lines. Journal of Crops and Weeds 18(2):216–221. https://doi.org/10.22271/ 09746315.2022.v18.i2.1592.
Manueke, J., B. H. Assa, and E. A. Pelealu. 2017. Minahasa pests on rice fields (Oryza sativa L.) in Makalonsow Village, East Tondano District, Minahasa Regency. Eugenia 23(3):120–127.
Maulana, W., and S. Wagiyana. 2017. Response of several rice varieties (Oryza sativa L.) to rice stem borer and grasshopper (Leptocorisa acuta Thubn.) attacks. Agrovigor: Journal of Agroecotechnology 10(1):21–27. https://doi.org/10.21107/agrovigor.v10i1.2654.
Muzammil, Ahmadi, and S. Puspita. 2019. Adaptability of VUB paddy in new opening land in South Bangka. https://repository.pertanian.go.id/handle/123456789/11847.
Nasution, M. A. 2010. Correlation and cross-scan analysis between morphological characters and fruit components of pineapple plants (Ananas comosus L. Merr.). Crop Agro Journal 3(1):1–9.
Noviyanti, S., S. Dwiwanti, and Kusmiyati. 2020. Adoption of innovation in the use of new superior varieties of lowland rice (Oryza sativa L.) in Cilaku District, Cianjur Regency, West Java Province. Journal of Research Innovation 1(4):771–782.
Okasa, A. M., R. Sjahril, M. Riadi, M. Mahendradatta, T. Sato, K. Toriyama, K. Ishii, Y. Hayashi, and T. Abe. 2021. Correlation and path coefficient analysis of grain yield and its components in Toraja land-race aromatic rice mutants induced by heavy ion beam. Asian Journal of Plant Sciences 20(3):406–413. https://doi.org/10.3923/ajps.2021.406.413.
Safriyani, E., M. Hasmeda, M. Munandar, and F. Sulaiman. 2019. Correlation of growth components and yield in integrated rice-Azolla farming. Journal of Suboptimal Land 7(1):59–65. https://doi.org/10.33230/jlso.7.1.2018.344.
Wardana, R., and I. Hariyati. 2017. Optimization of the number of productive rice tillers with Macak-macak irrigation and the addition of P and K fertilizers. Scientific Journal of Innovation 16(3):28–32. https://doi.org/10.25047/jii.v16i3.313.
Widyaningtias, L. A. M., P. Yudono, and S. Supriyanta. 2020. Identification of morphological and agronomic characters determining rice panicle emptiness (Oryza sativa L.). Vegetalika 9(2):399. https://doi.org/10.22146/veg.50721.