Evaluation of different spring rice genotypes for seedling stage growth at Tulsipur, Dang, Nepal

Dikchha Pantha 1 , Anjila Shrestha 2 , Abina Ghimire 3 , Sudha Gurung 4 , Suruchi Aryal 5

1   Institute of Agriculture and Animal Sciences, Campus of live Sciences, Tulsipur, NEPAL
2   Institute of Agriculture and Animal Sciences, Campus of live Sciences, Tulsipur, NEPAL
3   Institute of Agriculture and Animal Sciences, Campus of live Sciences, Tulsipur, NEPAL
4   Institute of Agriculture and Animal Sciences, Campus of live Sciences, Tulsipur, NEPAL
5   College of Natural Resource Management, Puranchaur, Kaski, NEPAL

✉ Coressponding author: See PDF.

doi https://doi.org/10.26832/24566632.2024.0902012



Rice is the fundamental staple crop of Nepal. For food security, the production rate of main season rice is insufficient; nevertheless, spring rice can be a possibility. Spring rice is short
duration crop as compared to the main season crop as, it can be best utilized through its cultivation. An experiment on spring rice (Oryza sativa) was performed to examine ten different elite rice genotypes in irrigated seedling stage at Campus of Live Sciences, Tulsipur, Dang from April to May 2023 with an objective to assess the response of different genotypes of seedling stage under controlled environment condition and to compare seedling stage growth and development of different spring rice variety The study was conducted with three replications on a completely randomized design (CRD). Data on the seedlings' growth was gathered at intervals of ten days. The outcome showed that there were statistical differences in morphological features between various genotypes. In comparison to other plants, IR09R270 had the highest average plant height (12.9 cm), IR17A106 had the greatest amount of leaves (2.44), IR09R270 had the greatest length of leaves (6.59 cm), Svin080 had the widest leaves (0.18 cm), IR112208B-B-RGA-BRGA had the longest shoots length (16.46 cm), and IR112208B-B-RGA-BRGA had the longest roots length (9.30 cm). The sample with the highest percentage of germination (85.65%) was IR112208B-B-RGA-BRGA. The majority of genotypes were found to have heritability more than 60%, indicating a greater contribution from genetic factors than environmental conditions. It was discovered that the phenotypic coefficient of variance (PCV) was marginally larger than the genotypic coefficient of variance (GCV), suggesting that the environment had little effect on how characters are expressed. The study's conclusions demonstrated that the rice genotypes IR09R270 and IR112208B-B-RGA-BRGA were preferable to other elite genotypes found in the Terai region. In conclusion under irrigated conditions, rice genotypes IR09R270 and IR112208B-B-RGA-BRGA performed well.


Genotypes, Spring rice, Irrigated condition, Heritability


Download data is not yet available.


Abd El-Mageed, T. A., Abd El-Mageed, S. A., El-Saadony, M. T., Abdelaziz, S., & Abdou, N. M. (2022). Plant growth-promoting rhizobacteria improve growth, morph-physiological responses, water productivity, and yield of rice plants under full and deficit drip irrigation. Rice, 15(1), 16.

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), 149-160.

Akter, N., Khalequzzaman, M., Mohammad I., Mamun, M. and Chowdhury, M. (2018). Genetic variability and character association of quantitative traits in jhum rice genotypes. SAARC Journal of Agriculture, 16(1), 193–203

Angon, P. B., Anjum, N., Akter, M., KC, S., Suma, R. P., & Jannat, S. (2023). An overview of the impact of tillage and cropping systems on soil health in agricultural practices. Advances in Agriculture, 2023.

Basyal, C., Ghimire, S., Panthi, B., & Basyal, S. (2019). Constraints of paddy production in Western Terai of Nepal. International journal of Environment, Agriculture and Biotechnology, 4(5)

Bhadru, D., Rao, V. T., Mohan, Y. C. and Bharathi, D. (2012). Genetic variability and diversity studies in yield and its component traits in rice (Oryza sativa L.). SABRAO Journal of Breeding and Genetics, 44(1), 129-137

Biswas, P. S., Rashid, M. M., Khatun, H., Yasmeen, R., & Biswas, J. K. (2019). Scope and progress of rice research harnessing cold tolerance. In Advances in rice research for abiotic stress tolerance (pp. 225-264). Woodhead Publishing.

Cain, S. A., & Castro, G. D. (1959). Manual of vegetation analysis. Manual of vegetation analysis.

CDD. (2015). Rice varietal mapping in Nepal implication for development and adoption. Harihar Bhawan: Ministry of Agriculture Development.

De Freitas, G. M., Thomas, J., Liyanage, R., Lay, J. O., Basu, S., Ramegowda, V., & Pereira, A. (2019). Cold tolerance response mechanisms revealed through comparative analysis of gene and protein expression in multiple rice genotypes. PLoS One, 14(6), e0218019.

Gerik, T., Bean, B., & Vanderlip, R. (2024). Sorghum growth and development.

Gomez, K. A., & Gomez, A. A. (1984). Statistical procedures for agricultural research. John Wiley & sons.

Ghimire, R., Wen-Chi, H. U. A. N. G., & Shrestha, R. B. (2015). Factors affecting adoption of improved rice varieties among rural farm households in Central Nepal. Rice Science, 22(1), 35-43.

Hatfield, J. L., & Prueger, J. H. (2015). Temperature extremes: Effect on plant growth and development. Weather and Climate Extremes, 10, 4-10.

Hidayati, N., &Anas, I. (2016). Photosynthesis and transpiration rates of rice cultivated under the system of rice intensification and the effects on growth and yield. HAYATI Journal of Biosciences, 23(2), 67-72.

Hoque, N., Islam, M. Z., Zarin, F., Mahmud, N., Rahman, M., & Biswas, B. (2021). Analysis of genetic variability and character relationship in rice (Oryza sativa L.) seed and seedling traits. Journal of Bioscience and Agriculture Research, 28(02), 2389-2398.

Johnson HW, Robinson HF, Comstock RE (1955). Genotypic and phenotypic correlations in soybeans and their implications in selection. Agronomy Journal, 47, 477-482

Yu, X., Shi, P., Schrader, J., & Niklas, K. J. (2020). Nondestructive estimation of leaf area for 15 species of vines with different leaf shapes. American Journal of Botany, 107(11), 1481-1490.

Johnson, H. N., Robinson, H. F. and Comstock, R. E. (1955). Estimate of genetic and environmental variability in soybean. Agronomy Journal, 27, 314-318.

KC, S. (2023). Role of Endogenous Hormones in Germination and Dormancy and Gene Action on Hormones: A Comprehensive Review. Food Science & Nutrition Technology, 8(3), 1–11.

Kushwaha, U. K. S., Khatiwada, S. P., Upreti, H. K., Shah, U. S., Thapa, D. B., Dhami, N. B., & Tripathi, B. P. (2015). Modification of rice breeding technology in 21st Century. International Journal of Bioinformatics and Biomedical Engineering, 1(2), 77-84

Mishra, L. K. And Verma, R. K. (2002). Genetic variability for quality and yield traits in no segregating populations of rice (Oryza sativa L.). Plant Archives, 2(2), 251-256.

MOAD.2017/18.Statistical information on Nepalese agriculture. Monitoring, Evaluation and statistics division, Singha Durbar, Kathmandu, Nepal

MoAD. 2020/21. Statistical information on Nepalese agriculture. Monitoring, Evaluation and Statistics Division, Singha Durbar, Kathmandu, Nepal.

Rabbani, M. A., Masood, M. S., Shinwari, Z. K., & Shinozaki, K. Y. (2010). Genetic analysis of basmati and non-basmati Pakistani rice (Oryza sativa L.) cultivars using microsatellite markers. Pakistan Journal of Botany, 42(4), 2551-2564.

Rasel, M. D., Hassan, L., Hoque, M. I. and Saha, S. (2018). Estimation of genetic variability, correlation and path coefficient analysis in local landraces of rice (Oryza sativa L.) for the improvement of salinity tolerance. Journal of the Bangladesh Agricultural University, 16, 41.

Regmi, N. R., Bhandari, M. K., Ghimire, P., & Panthi, B. (2023). Status and prospects of spring rice in Nepal: A review. INWASCON Technology Magazine, 5, 8, 1-5.

Ribas, G. G., Streck, N. A., Duarte, A. J., Nascimento, M. F. D., Zanon, A. J., & Silva, M. R. D. (2017). Number of leaves and phenology of rice hybrids simulated by the SimulArroz model. Revista Brasileira de Engenharia Agrícola e Ambiental, 21, 221-226.

Shrestha, S., Shrestha, J., Kc, M., Paudel, K., Dahal, B., Mahat, J., Ghimire, S. M., & Ghimire, P. (2022). Performance of spring rice cultivars against planting methods in western terai, Nepal. Tropical Agroecosystems, 3(1), 23–26.

Shi, P., Liu, M., Ratkowsky, D. A., Gielis, J., Su, J., Yu, X., ...& Schrader, J. (2019). Leaf area– length allometry and its implications in leaf shape evolution. Trees, 33, 1073-1085

Singh, R. K. and Choudhury, B. D. (1985). Biometrical method in quantitative genetic analysis. Kalyani Publishers, Ludhiana, New Delhi, pp. 54-57.

Subedi, S., Sharma, S., Poudel, A., Adhikari, S., & KC, B. (2018). Varietal evaluation and preference analysis of promising spring rice genotypes in Dhamilikuwa, Lamjung, Nepal. Acta Scientific Agriculture, 2(7).

Vergara, B. S. (1991). Rice plant growth and development. In Rice: Volume I. Production/Volume II Utilization (pp. 13-22). Boston, MA: Springer US.

Yadav, R. B., and Chaudhary, B. (2017). “Cultivation of spring and boro season rice in Nepal,” in Rice Science and Technology in Nepal, eds M. N. Poudel, D. R Bhandari, M. P. Khanal, B. K. Joshi, P. Acharya, and K. Ghimire (Crop Development Directorate (CDD), Harihar Bhawan and Agronomy Society of Nepal (ASoN), Khumaltar), 976.

Yu, X., Shi, P., Schrader, J., &Niklas, K. J. (2020). Nondestructive estimation of leaf area for 15 species of vines with different leaf shapes. American Journal of Botany, 107(11), 1481- 1490.



How to Cite

Pantha, D., Shrestha, A., Ghimire, A., Gurung, S., & Aryal, S. (2024). Evaluation of different spring rice genotypes for seedling stage growth at Tulsipur, Dang, Nepal. Archives of Agriculture and Environmental Science, 9(2), 289-293. https://doi.org/10.26832/24566632.2024.0902012



Research Articles