Correlation coefficient and path analysis of yield and yield attributing characters of rice (Oryza sativa L.) genotypes under reproductive drought stress in the Terai region of Nepal

Preeti Kayastha 1 , Himani Chand 2 , Barsha K. C. 3 , Biddhya Pandey 4 , Bimal Roka Magar 5 , Janak Bhandari 6 , Pawan Lamichhane 7 , Prakash Baduwal 8 , Mukti Ram Poudel 9

1   Tribhuvan University, Institute of Agriculture and Animal Science Paklihawa Campus, Paklihawa, Bhairahawa, Rupandehi, NEPAL
2   Tribhuvan University, Institute of Agriculture and Animal Science Paklihawa Campus, Paklihawa, Bhairahawa, Rupandehi, NEPAL
3   Tribhuvan University, Institute of Agriculture and Animal Science Paklihawa Campus, Paklihawa, Bhairahawa, Rupandehi, NEPAL
4   Tribhuvan University, Institute of Agriculture and Animal Science Paklihawa Campus, Paklihawa, Bhairahawa, Rupandehi, NEPAL
5   Tribhuvan University, Institute of Agriculture and Animal Science Paklihawa Campus, Paklihawa, Bhairahawa, Rupandehi, NEPAL
6   Tribhuvan University, Institute of Agriculture and Animal Science Paklihawa Campus, Paklihawa, Bhairahawa, Rupandehi, NEPAL
7   Tribhuvan University, Institute of Agriculture and Animal Science Paklihawa Campus, Paklihawa, Bhairahawa, Rupandehi, NEPAL
8   Tribhuvan University, Institute of Agriculture and Animal Science Paklihawa Campus, Paklihawa, Bhairahawa, Rupandehi, NEPAL
9   Tribhuvan University, Institute of Agriculture and Animal Science Paklihawa Campus, Paklihawa, Bhairahawa, Rupandehi, NEPAL

✉ Coressponding author: See PDF.

doi https://doi.org/10.26832/24566632.2022.0704013

doi

Abstract

An experimental trial of nine rice genotypes was conducted in the Agronomy field of the Institute of Agriculture and Animal Science (IAAS) Paklihawa Campus under a randomized block design layout with three replications from July to November of 2022. The aim was to study genetic variability and analyze the character association of yield and yield-attributing components in rice genotypes and their direct and indirect effect on grain yield under reproductive drought stress conditions. Observations on days to flowering (50%), plant height, panicle length, panicle weight, number of grains/panicles, effective panicle/m², grain yield, and 1000 kernel weight were recorded. Grain yield showed a highly positive significant correlation with effective panicle/m² (0.713**), followed by plant height (0.347) and panicle length (0.289). The path coefficient analysis of different traits revealed the highest positive direct effect of the effective panicle per m² (0.748963), followed by panicle length (0.24145) and plant height (0.227505). The highest negative direct effect was shown by the number of grains per panicle (-0.31218). The experimental results revealed that the selection of trait-effective panicle per square meter would be most beneficial for the improvement of yield in rice genotypes facilitating selection and plant breeding programs.

Keywords:

Direct effect, Grain yield, Indirect effect, Stress

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References

Abarshahr, M., Rabiei, B., & Samizadeh Lahigi, H. (2011). Assessing Genetic Diversity of Rice Varieties under Drought Stress Conditions. Notulae Scientia Biologicae, 3(1), 114–123, https://doi.org/10.15835/nsb315618

Abdul Fiyaz, R., Ramya, K. T., Chikkalingaiah, Ajay, B. C., Gireesh, C., & Kulkarni, R. S. (2011). Genetic variability, correlation and path coefficient analysis studies in rice (Oryza sativa L.) under alkaline soil condition. Electronic Journal of Plant Breeding, 2(4), 531–537.

Agahi, K., Fotokian, M. H., & Farshadfar, E. (2007). Correlation and path coefficient analysis for some yield-related traits in rice genotypes (Oryza sativa L.). Asian Journal of Plant Sciences, 6(3), 513–517, https://doi.org/10.3923/ajps.2007.513.517

Akinwale, M. G., Gregorio, G., Nwilene, F., Akinyele, B. O., Ogunbayo, S. A., & Odiyi, A. C. (2011). Heritability and correlation coefficient analysis for yield and its components in rice ( Oryza sativa L .). African Journal of Plant Science, 5(3), 207–212.

Aristya, V. E., Trisyono, Y. A., Mulyo, J. H., & Taryono. (2021). Participatory varietal selection for promising rice lines. Sustainability (Switzerland), 13(12), 1–18, https://doi.org/10.3390/su13126856

Augustina, U. A., Iwunor, O. P., & Ijeoma, O. R. (2013). Heritability and character correlation among some rice genotypes. Journal of Plant Breeding and Genetics, 01(02), 73–84.

Bunnag, S., & Pongthai, P. (2013). Selection of Rice (<i>Oryza sativa</i> L.) Cultivars Tolerant to Drought Stress at the Vegetative Stage under Field Conditions. American Journal of Plant Sciences, 04(09), 1701–1708, https://doi.org/10.4236/ajps.2013.49207

Chikkadevaiah, C., Sujatha, H. L. S., & Nandini, N. (2002). Correlation and path analysis in sunflower. Helia, 25(37), 109–118, https://doi.org/10.2298/hel0237109c

Cyprien, M., Kumar, V., Province, N., & Science, C. (2011). Correlation and path coefficient analysis Basic Sciences department , Faculty of Agricultural Engineering and Environmental Sciences ( FAEES ), High Institute of Agricultural and Animal. Analysis, 4(2), 119–131.

Fiyaz, A., Ramya, K. T., Ajay, B. C., Gireesh, C., & Kulkarni, R. S. (2011). Genetic variability , correlation and path coefficient analysis studies in rice ( Oryza sativa L .) under alkaline soil condition. Electronic Journal of Plant Breeding, 2(4), 531–537.

Gadal, N., Shrestha, J., Poudel, M. N., & Pokharel, B. (2019). A review on production status and growing environments of rice in Nepal and in the world. Archives of Agriculture and Environmental Science, 4(1), 83–87, https://doi.org/10.26832/24566632.2019.0401013

Hairmansis, A., Kustianto, B., Supartopo, & Suwarno. (2010). Correlation analysis of agronomic characters and grain yield of rice for tidal swamp areas. Indonesian Journal of Agricultural Science, 11(1).

Islam, M. Z., Khalequzzaman, M., Bashar, M. K., Ivy, N. A., Haque, M. M., & Mian, M. A. K. (2016). Variability Assessment of Aromatic and Fine Rice Germplasm in Bangladesh Based on Quantitative Traits. The Scientific World Journal.

K., N. B. S., R., R. N., & P, S. (2014). Correlation and path analysis in rice (Oryza sativa L.). International Journal of Tropical Agriculture, 32. https://doi.org/10.1111/j.1439-0523.1988.tb00247.x

Karim, D., Siddique, N., & Sarkar, U. (2014). Phenotypic and genotypic correlation co-efficient of quantitative characters and character association of aromatic rice Phenotypic and genotypic correlation co-efficient of quantitative characters and character association of aromatic rice. Journal of Bioscience and Agriculture Research, 1(1), 34–46, https://doi.org/10.18801/jbar.010114.05

Kiani, G., & Nematzadeh, G. (2012). Correlation and Path Coefficient Studies in F2 Populations of Rice. Notulae Scientia Biologicae, 4(2), 124–127, https://doi.org/10.15835/nsb427366

Kosanke, R. M. (2019). 済無No Title No Title No Title. 33, 335–344.

Kumar, C. (2014). Correlation and Path Coefficient Analysis of Yield Components in Aerobic Rice (Oryza Sativa L.). August, 4116–4122.

Majeed, A., Salim, M., Bano, A., & Asim, M. (2011). Physiology and productivity of rice crop influenced by drought stress induced at different developmental stages. African Journal of Biotechnology, 10(26), 5121–5136, https://doi.org/10.5897/AJB09.1261

Manjunatha, B., Malleshappa, C., & Kumara, B. N. (2018). Studies on variability, heritability and genetic advance for quantitative traits in rice (Oryza sativa L.). International Journal of Agricultural Science, 10(11), 6192-6194.

Panja, S., Garg, H. S., Debnath, K., Sarkar, K. K., Mukherjee, S., & Bengal, W. (2017). Effect of water stress on different morphological traits of rice (Oryza sativa L.) genotypes in red & laterite zone of west Bengal. International Journal of Advanced Biological Research, 7(3), 419–425.

Pant, D., Sharma, S., & Poudel, A. (2019). Correlation coefficient and path analysis of rice (Oryza sativa) genotypes under reproductive drought stress in mid hill of Nepal. Crop Research, 54(5&6), https://doi.org/10.31830/2454-1761.2019.026

Pokhrel, A., Dhakal, S., Kafle, R., & Pokhrel, A. (2021). Adoption status of improved production technology in rice cultivation in Kanchanpur, Nepal. Archives of Agriculture and Environmental Science, 6(2), 178–185, https://doi.org/10.26832/24566632.2021.060209

Prince, S. J., Beena, R., Gomez, S. M., Senthivel, S., & Babu, R. C. (2015). Mapping consistent rice (Oryza sativa L .) yield QTLs under drought stress in target rainfed environments. Rice, 8(26). https://doi.org/10.1186/s12284-015-0053-6

Rasel, M., Hassan, L., Injamum-Ul-Hoque, M., & Saha, S. R. (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 Bangladesh Agricultural University, 16(1), 41–46, https://doi.org/10.3329/jbau.v16i1.36479

Ratna, M., Begum, S., Husna, A., Dey, S., & Hossain, M. (2015). Correlation and path coefficients analyses in Basmati rice. Bangladesh Journal of Agricultural Research, 40(1), 153–161, https://doi.org/10.3329/bjar.v40i1.23768

Sabesan, T., Suresh, R., & Saravanan, K. (2009). Genetic variability and correlation for yield and grain quality characters of rice grown in coastal saline low land of Tamilnadu. Electronic Journal of Plant Breeding, 1, 56–59.

Saleh, M. M., Salem, K. F. M., & Elabd, A. B. (2020). Definition of selection criterion using correlation and path coefficient analysis in rice (Oryza sativa L.) genotypes. Bulletin of the National Research Centre, 44(1), https://doi.org/10.1186/s42269-020-00403-y

Samonte, P. B., Wilson S. O., , L. T., & McClung, A. M. (1998). Path analyses of yield and yield related traits of fifteen diverse rice genotypes. Crop Science, 38(5), 1130-1136.

Sangaré, J. R., Konaté, A. K., Cissé, F., & Sanni, A. (2017). Assessment of genetic parameters for yield and yield related-traits in an intraspecific rice (Oryza sativa L.) population. Journal of Plant Breeding and Genetics, 05(02), 45–56.

Shrestha, N., Poudel, A., Sharma, S., Parajuli, A., Budhathoki, S., & Shrestha, K. (2018). Correlation coefficient and path analysis of advance rice genotypes in central mid-hills of Nepal. International Journal of Research in Agricultural Sciences, 5(3), 150–154.

Singh, S. P., Singhara, G. S., Parray, G. A., & Bhat, G. N. (2006). Genetic variability and character association studies in rice (Oryza sativa L.). Agricultural Science Digest, 26(3). https://doi.org/10.37992/2021.1204.165

Solomon, H., & Wegary, D. (2016). Phenotypic correlation and path coefficient analysis of yield and yield component in rice (Oryza Sativa). International Journal of Research and Review, 3(7), 1–5.

Sowmiya, C. A., & Venkatesan, M. (2017). Studies on Correlation and path coefficient analysis in rice (Oryza sativa L.). International Journal of Current Microbiology and Applied Sciences, 6(8), 1757–1763, https://doi.org/10.20546/ijcmas.2017.609.217

Tiwari, D. N., Tripathi, S. R., Tripathi, M. P., Khatri, N., & Bastola, B. R. (2019). Genetic Variability and correlation coefficients of major traits in early maturing rice under rainfed lowland environments of Nepal. Advances in Agriculture, 2019. https://doi.org/10.1155/2019/5975901

Published

2022-12-25

How to Cite

Kayastha, P., Chand, H., K. C., B., Pandey, B., Magar, B. R., Bhandari, J., Lamichhane, P., Baduwal, P., & Poudel, M. R. (2022). Correlation coefficient and path analysis of yield and yield attributing characters of rice (Oryza sativa L.) genotypes under reproductive drought stress in the Terai region of Nepal. Archives of Agriculture and Environmental Science, 7(4), 564-570. https://doi.org/10.26832/24566632.2022.0704013

Issue

Vol. 7 No. 4 (2022): December 2022 Issue

Section

Research Articles

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