Evaluation of Early Rice (Oryza sativa L.) Genotypes for Yield and Yield Components in Madhesh Province of Nepal

Authors

DOI:

https://doi.org/10.24925/turjaf.v14i1.39-46.8082

Keywords:

Earliness, Rice, Genotypes, Yield, Yield Attributes

Abstract

The research was laid out in a randomized complete block design (RCBD) with two replications and twenty-four genotypes (two check varieties Hardinath-1 and Hardinath-3) in College of Natural Resource Management, Bardibas, Mahottari, Nepal. Geographically, it is situated at an altitude of 26.9431097° North, longitude 85.8910975° East; approximetly 160 m asl. The transplanting distance between the rice plants was 20cmx20cm with plant plot size: 4.5 m² (3.0mx1.5m) and the spacing between two consecutive plots were maintained at 0.5 m.  Key agronomic traits of growth, yield and yield components were recorded. Data was entered and tabulated using MS-Excel and analyzed using Gen-Stat ver. 2015. Mean separation was done by DMRT at 5 % level of significance. The results revealed that the highest yield (6.87 t/ha) was achieved by the genotype IR-18-A-2294, followed by IR-19-A-5000 (6.51 t/ha), NS-314 (6.24 t/ha), NS-278 (6.26 t/ha), Hardinath-3 (6.24 t/ha) and least by NS-232 (3.91 t/ha). Hardinath-1 (86.5 DAT) had early maturity followed by NS-201 (91 DAT), Hardinath-3 (94 DAT), IR-19-A-5000 (96 DAT), and IR-132084-B-1191-1-2-B-12 (96 DAT) whereas late maturity was observed in NS-313 (104 DAT) and yields were 5.24 t/ha, 5.14 t/ha, 6.24 t/ha, 6.51 t/ha, 4.87 t/ha, and 5.98 t/ha respectively. In terms of earliness and yield potential, IR-18-A-2294 and IR-19-A-5000 were found to be superior, indicating their potential for further advancement and recommendation in rice production systems and suggesting their usefulness for farmers in areas where early maturity along with high production is desirable to fit into multiple cropping systems or to avoid climatic risks such as terminal drought or flooding. These results provide valuable insights into the selection and development of rice varieties adapted to the specific agro-ecological conditions of Nepal.

References

Adhikari, B. B., Mehera, B., & Haefele, S. M. (2018). Selection of drought tolerant rice varieties for the western mid-hills of Nepal. Journal of the Institute of Agriculture and Animal Science, 195–206. https://doi.org/10.3126/jiaas.v33i0.20705

Adhikari, B. N., Joshi, B. P., Shrestha, J., & Bhatta, N. R. (2018). Genetic variability, heritability, genetic advance and correlation among yield and yield components of rice (Oryza sativa L.). Journal of Agriculture and Natural Resources, 1(1), Article 1. https://doi.org/10.3126/janr.v1i1.22230, 149-160.

Aditya, J. P., & Bhartiya, A. (2013). Genetic variability, correlation and path analysis for quantitative characters in rainfed upland rice of Uttarakhand Hills. Journal of Rice Research, 6(2), 24–34.

AITC. (2024). Krishi Dairy.

Ali, S., Gautam, R. K., Mahajan, R., Krishnamurthy, S. L., Sharma, S. K., Singh, R. K., & Ismail, A. M. (2013). Stress indices and selectable traits in SALTOL QTL introgressed rice genotypes for reproductive stage tolerance to sodicity and salinity stresses. Field Crops Research, 154, 65–73. https://doi.org/10.1016/j.fcr.2013.06.011

Amirova, A., Usenbekov, B., Berkimbay, K., Mynbayeva, D., Atabayeva, S., Baiseitova, G., Meldebekova, A., Zhunusbayeva, Z., Kenzhebayeva, S., & Mukhambetzhanov, S. (2024). Selection of rice breeding lines for resistance to biotic and abiotic stresses. Brazilian Journal of Biology, 84, e282495. https://doi.org/10.1590/1519-6984.282495

Ashfaq, M. (2012). Association of Various Morphological Traits with Yield and Genetic Divergence in Rice (Oryza sativa). International Journal of Agriculture and Biology, 14, 55-62.

Balasubramanian, S., Sureshkumar, S., Lempe, J., & Weigel, D. (2006). Potent Induction of Arabidopsis thaliana Flowering by Elevated Growth Temperature. PLoS Genetics, 2(7), e106. https://doi.org/10.1371/journal.pgen.0020106, 0980-0989.

Cha-um, S., Vejchasarn, P., & Kirdmanee, C. (2007). An Effective Defensive Response in Thai Aromatic Rice Varieties (Oryza sativa L. spp. Indica) to Salinity.

Cheng, S. R. (2018). Different Seedling Raising Methods affect Characteristics of Machine-Transplanted Rice Seedlings. Applied Ecology and Environmental Research, 16(2), 1399–1412. https://doi.org/10.15666/aeer/1602_13991412

Cui, J., Kusutani, A., Toyota, M., & Asanuma, K. (2000). Studies on the Varietal Difference of Harvest Index in Rice: Relationship between harvest index and dry matter production. Japanese Journal of Crop Science, 69(3), 351–358. https://doi.org/10.1626/jcs.69.351

Devkota, N., Phuyal, R. K., & Shrestha, D. L. (2018). Perception, Determinants and Barriers for the Adoption of Climate Change Adaptation Options among Nepalese Rice Farmers. Agricultural Sciences, 9(3), Article 3. https://doi.org/10.4236/as.2018.93021, 272-298.

Fukagawa, N. K., & Ziska, L. H. (2019). Rice: Importance for Global Nutrition. Journal of Nutritional Science and Vitaminology, 65(Supplement), S2–S3. https://doi.org/10.3177/jnsv.65.S2-S3.

Hussain, S., Ramzan, M., Aslam, M., Manzoor, Z., Saf, M., Shah, K., Rrl, K., & Shah, K. (2005). Effect of Various Stand Establishment Methods on Yield and Yield Components of Rice.

Karim, D., Sarker, U., Siddique, M., Miah, M., & Hasnat, M. (2007). Variability and genetic parameter analysis in aromatic rice. https://www.semanticscholar.org/paper/Variability-and-genetic-parameter-analysis-in-rice.-Karim-Sarker/021a69e8601723dafaed3037cde2ea15f61db4c2?p2df, 2025.09.08, 15-18.

Khalil, I. H., Bari, A., Khan, S., & Zada, I. (2009). Genetic variation for yield and yield components in rice. 4(6). 60-64.

Liang, S., Ren, G., Liu, J., Zhao, X., Zhou, M., McNeil, D., & Ye, G. (2015). Genotype-by-environment interaction is important for grain yield in irrigated lowland rice. Field Crops Research, 180, 90–99. https://doi.org/10.1016/j.fcr.2015.05.014

MoALD. (2024). Statistical information on Nepalese Agriculture, 242.

Prasad, R., Shivay, Y. S., & Kumar, D. (2017). Current Status, Challenges, and Opportunities in Rice Production. In B. S. Chauhan, K. Jabran, & G. Mahajan (Eds.), Rice Production Worldwide (pp. 1–32). https://doi.org/10.1007/978-3-319-47516-5_1

Rabbani, M. A., Masood, M., Shinwari, Z., & Yamaguchi-Shinozaki, K. (2010). Genetic analysis of basmati and non-basmati Pakistani rice (Oryza sativa L.) cultivars using microsatellite markers. Pakistan Journal of Botany. https://www.semanticscholar.org/paper/Genetic-analysis-of-basmati-and-non-basmati-rice-Rabbani-Masood/05b7760e798e8c704efda44fce8c2cd4ba47b508?p2df, 2025.09.08, 2551-2564.

Rahman et al. (2018). Evaluation of Some Transplanted AUS Rice Genotypes for Morphology, Yield and Disease Incidence. 6(1), 291–302.

Shrestha, J., Subedi, S., Singh Kushwaha, U. K., & Maharjan, B. (2021). Evaluation of growth and yield traits in rice genotypes using multivariate analysis. Heliyon, 7(9), e07940. https://doi.org/10.1016/j.heliyon.2021.e07940

Sultana, T., Islam, R., Chowdhury, S. N., Islam, S., & Islam, M. (2014). Performance Evaluation of Two Rice Varieties under Different Levels of NaCl Salinity Stress, 2025.09.08, 186-195.

Tahir, M., Wadan, D., & Zada, A. (2002). Genetic variability of different plant and yield characters in rice. Sarhad Journal of Agriculture (Pakistan), 18(2). https://agris.fao.org/search/en/providers/122650/records/64723e4f2c1d629bc978e8c1, 2025.09.08, 207-210.

Zhao, H., Mo, Z., Lin, Q., Pan, S., Duan, M., Tian, H., Wang, S., Tang, X., Zhao, H., Mo, Z., Lin, Q., Pan, S., Duan, M., Tian, H., Wang, S., & Tang, X. (2020). Relationships between grain yield and agronomic traits of rice in southern China. Chilean Journal of Agricultural Research, 80(1), 72–79. https://doi.org/10.4067/S0718-58392020000100072

Downloads

Published

11.01.2026

Issue

Section

Research Paper