Genetic variability of panicle architecture traits in different rice accessions under the Eastern Terai conditions of Nepal

References

• Ahmad, S., Ali, H., Ur Rehman, A., Khan, R. J. Z., Ahmad, W., Fatima, Z., Abbas, G., Irfan, M., Ali, H., Khan, M. A., & Hasanuzzaman, M. (2015). Measuring leaf area of winter cereals by different techniques: A comparison. Pakistan Journal of Life and Social Sciences, 13(2), 117–20.
   Google Scholar
• Akter, N., Khalequzzaman, M., Islam, M., Mamun, M., & Chowdhury, M. (2018). Genetic variability and character association of quantitative traits in jhum rice genotypes. SAARC Journal of Agriculture, 16(1), 193–203. https://doi.org/10.3329/sja.v16i1.37434
   Google Scholar
• Anis, G. B., Hassan, H. M., Mazal, T. M., & Elgamal, W. H. (2017). Development and characterization of new integrated lines for use in two-way inbred and hybrid rice. International Journal of Agricultural and Environmental Sciences, 2(2), 15–24.
   Google Scholar
• Bai, S., Hong, J., Li, L., Su, S., Li, Z., Wang, W., Zhang, F., Liang, W., & Zhang, D. (2021). Dissection of the genetic basis of rice panicle architecture using a genome-wide association study. Rice, 14(1). https://doi.org/10.1186/s12284-021-00520-w
   Web of Science ®Google Scholar
• Bhandari, K., Poudel, A., Sharma, S., Kandel, B. P., & Upadhyay, K. (2019). Genetic variability, correlation and path analysis of rice genotypes in rainfed condition at Lamjung, Nepal. Russian Journal of Agricultural & Socio-Economic Sciences, 92(8), 274–280. https://doi.org/10.18551/rjoas.2019-08.30
   Google Scholar
• Choudhary, D., Banskota, K., Khanal, N. P., McDonald, A. J., Krupnik, T. J., & Erenstein, O. (2022). Rice subsector development and farmer efficiency in Nepal: Implications for further transformation and food security. Frontiers in Sustainable Food Systems, 5, 740546. https://doi.org/10.3389/fsufs.2021.740546
   Google Scholar
• FAO. (2022). GIEWS - Global Information and Early Warning System, Country brief: Nepal. Retrieved May 6, 2022: Food and Agriculture Organization(FAO) https://www.fao.org/giews/countrybrief/country.jsp?code=NPL&lang=en
   Google Scholar
• FAOSTAT. (2019). Food and agriculture organization of the United Nations Information sheet on rice. Rome, URL: http://faostat.fao.org.
   Google Scholar
• Gautam, D., Kandel, B. P., & Adhikari, B. B. (2018). Performance of rice genotypes in western mid hill of Nepal. Journal of Plant Breeding and Genetics, 6(3), 111–116. https://doi.org/10.33687/pbg.006.03.2791
   Google Scholar
• Gautam, A., & Shrestha, A. (2023). Evaluation of panicle architecture traits in rice genotypes using PTRAP. Nepal Agriculture Research Journal, 15(1), 115–124. https://doi.org/10.3126/narj.v15i1.51533
   Google Scholar
• Gharib, H. S., Metwally, T. F., Naeem, S. S., & Gewaily, E. E. (2011). Influence of some stimulating compounds and nitrogen fertilizer levels on growth and yield of hybrid rice. Zagazig Journal Agricultural Resources, 38(1), 2011.
   Google Scholar
• Gomez, K. A., & Gomez, A. A. (1984). Statistical procedures for agricultural research (Vol. 6, 2nd ed.). John Wiley & Sons, Ltd.
   Google Scholar
• Gour, L., Maurya, S., Koutu, G. K., Singh, S. K., Shukla, S., & Mishra, D. (2017). Characterization of rice (Oryza sativa L.) genotypes using principal component analysis including scree plot & rotated component matrix. International Journal of Chemical Studies, 5(4), 975–983.
   Google Scholar
• Haque, K. M. S., Khaliq, K. A., Aktar, J., & Shamsuddula, A. M. (2006). Yielding ability of aromatic rice under stacking and non-stacking conditions with different nitrogen fertilization. International Journal Sustains Crop Production, 1(1), 01–05.
   Google Scholar
• Ikeda, M., Hirose, Y., Takashi, T., Shibata, Y., Yamamura, T., Komura, T., Doi, K., Ashikari, M., Matsuoka, M., & Kitano, H. (2010). Analysis of rice panicle traits and detection of QTLs using an image analyzing method. Breeding Science, 60(1), 55–64. https://doi.org/10.1270/jsbbs.60.55
   Web of Science ®Google Scholar
• Iqbal, T., Nazir Ahmad, I. H., Muhammad Zia, M. N. M. A. S. S., & Ali, F. (2018). Genetic variability, correlation and cluster analysis in elite lines of rice. Journal of Scientific Agriculture, 2, 85. https://doi.org/10.25081/jsa.2018.v2.900
   Google Scholar
• Jiban, S., Subash, S., Naba, R. S., Sudeep, S., Ujjawal, K. S., Bidhya, M., & Mahesh, S. (2021). Assessment of variability, heritability and correlation in rice (Oryza Sativa L.) Genotypes. Natural Resources and Sustainable Development, 11(2), 181–192. https://doi.org/10.31924/nrsd.v11i2.077
   Google Scholar
• Kashyap, A., & Yadav, V. K. (2020). Principal component analysis and character association for yield components in rice (Oryza sativa L.) genotypes of salt tolerance under alkaline condition. International Journal of Current Microbiology and Applied Sciences, 9(10), 481–495. https://doi.org/10.20546/ijcmas.2020.910.059
   Google Scholar
• Lamichhane, S., Adhikari, N. R., Bishwas, K. C., & Thapa, S. (2021). Estimating variability, heritability, and genetic advance of rice genotypes in Mid-Hills of Nepal. Indonesian Journal of Agricultural Science, 22(2), 92–101. https://doi.org/10.21082/IJAS.V22N2.2021.P92-101
   Google Scholar
• Lei, Q., Zhou, J., Zhang, W., Luo, J., Wu, K., & Long, C. (2018). Morphological diversity of panicle traits in Kam fragrant glutinous rice (Oryza sativa). Genetic Resources and Crop Evolution, 65(3), 775–786. https://doi.org/10.1007/s10722-017-0570-9
   Web of Science ®Google Scholar
• Li, G., Zhang, H., Li, J., Zhang, Z., & Li, Z. (2021). Genetic control of panicle architecture in rice. The Crop Journal, 9(3), 590–597. https://doi.org/10.1016/j.cj.2021.02.004
   Google Scholar
• Lu, H., Dai, Z., Li, L., Wang, J., Miao, X., & Shi, Z. (2017). Osramosa2 shapes panicle architecture through regulating pedicel length. Frontiers in Plant Science, 8(September), 1–11. https://doi.org/10.3389/fpls.2017.01538
   PubMedGoogle Scholar
• Maji, A. T., Shaibu, A. A., & Cereals, N. (2012). Application of principal component analysis for rice germplasm characterization and evaluation. Journal of Plant Breeding and Crop Science, 4(6), 87–93. https://doi.org/10.5897/JPBCS11.093
   Google Scholar
• Mishra, R., Zheng, W., Joshi, R. K., & Kaijun, Z. (2021). Genome editing strategies towards enhancement of rice disease resistance. Rice Science, 28(2), 133–145. https://doi.org/10.1016/j.rsci.2021.01.003
   Web of Science ®Google Scholar
• MOALD. (2019). Statistical information on nepalese agriculture. Singha Durbar.
   Google Scholar
• Nachimuthu, V. V., Robin, S., Sudhakar, D., Raveendran, M., Rajeswari, S., & Manonmani, S. (2014). Evaluation of rice genetic diversity and variability in a population panel by principal component analysis. Indian Journal of Science and Technology, 7(10), 1555–1562. https://doi.org/10.17485/ijst/2014/v7i10.14
   Google Scholar
• Panda, D., Sahu, N., Behera, P. K., & Lenka, K. (2020). Genetic variability of panicle architecture in indigenous rice landraces of Koraput region of Eastern Ghats of India for crop improvement. Physiology & Molecular Biology of Plants, 26(10), 1961–1971. https://doi.org/10.1007/s12298-020-00871-6
   PubMed Web of Science ®Google Scholar
• Pk, M. (2013). A physiological approach to design rice panicle architecture in the quest for high grain yield. In Muralidharan, K. & Siddiq, E. A. (Eds.), International Dialogue on Perception and Prospects of Designer Rice, Chandler (pp. 131–142).
   Google Scholar
• Prakash, H. P., Rawte, S., Saxena, R. R., Verulkar, S. B., & Saxena, R. R. (2022). Electronic journal of plant breeding 122 RILs using P-TRAP software for spikelet related traits. Electronic Journal of Plant Breeding, 13(4), 1226–1233. https://doi.org/10.37992/2022.1304.167
   Google Scholar
• Reza, M. S., Ahmed, B., Alim, S. M. A., Islam, M. M., Hoque, M. M., & Nadim, M. K. A. (2022). Morphological characterization and adaptive trail of two prominent T. Aman Rice (Oryza sativa L.) lines under different locations of Bangladesh. Asian Journal of Environment & Ecology, 19(4), 1–8. https://doi.org/10.9734/ajee/2022/v19i4414
   Google Scholar
• Sahu, P. K., Sharma, D., Mondal, S., Kumar, V., Singh, S., Baghel, S., Tiwari, A., Vishwakarma, G., & Das, B. K. (2017). Genetic variability for grain quality traits in indigenous rice landraces of Chhattisgarh India. Journal of Experimental Biology and Agricultural Sciences, 5(4), 439–455. https://doi.org/10.18006/2017.5(4).439.455
   Google Scholar
• Saito, H., Orn, C., Thub, V., Ouk, M., Tomita, A., Sasaki, K., Obara, M., Kobayashi, N., & Fukuta, Y. (2023). Diversity of traits related to panicle architecture and grain size in cambodian rice germplasm and newly developed mini-core collection. Japan Agricultural Research Quarterly: JARQ, 57(1), 21–35. https://doi.org/10.6090/jarq.57.21
   Google Scholar
• 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
   Google Scholar
• Sathish, V., & Senapati, B. K. (2017). Study of genetic diversity in some newly developed rice genotypes. International Journal of Current Microbiology and Applied Sciences, 6(10), 2693–2698. https://doi.org/10.20546/ijcmas.2017.610.317
   Google Scholar
• 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, 1–9. https://doi.org/10.1155/2019/5975901
   Google Scholar
• Venkatesan, M., Karthikeyan, P., & Thilagavathi, T. (2019). Component analysis for grain yield in rice (oryza sativa l.) under natural saline condition. Plant Archives, 19(1), 1023–1026. http://plantarchives.org/PDF%20SUPPLEMENT%202019/168__1023-1026_.pdf
   Google Scholar
• Yan, C. J., Zhou, J. H., Yan, S., Chen, F., Yeboah, M., Tang, S. Z., Liang, G. H., & Gu, M. H. (2007). Identification and characterization of a major QTL responsible for erect panicle trait in japonica rice (Oryza sativa L.). Theoretical and Applied Genetics, 115(8), 1093–1100. https://doi.org/10.1007/s00122-007-0635-9
   PubMed Web of Science ®Google Scholar
• Zhi, H., He, Q., Tang, S., Yang, J., Zhang, W., Liu, H., Jia, Y., Jia, G., Zhang, A., Li, Y., Guo, E., Gao, M., Li, S., Li, J., Qin, N., Zhu, C., Ma, C., Zhang, H., Chen, G., & Liu, J.… Diao, X. (2021). Genetic control and phenotypic characterization of panicle architecture and grain yield-related traits in foxtail millet (Setaria italica). Theoretical and Applied Genetics, 134(9), 3023–3036. https://doi.org/10.21203/rs.3.rs-159458/v1
   PubMed Web of Science ®Google Scholar
• Zhong, H., Liu, C., Kong, W., Zhang, Y., Zhao, G., Sun, T., & Li, Y. (2019). Effect of multi-allele combination on rice grain size based on prediction of regression equation model. Molecular Genetics and Genomics, 295(2), 465–474. https://doi.org/10.1007/s00438-019-01627-y
   PubMed Web of Science ®Google Scholar
• Zhong, H., Liu, S., Meng, X., Sun, T., Deng, Y., Kong, W., Peng, Z., & Li, Y. (2021). Uncovering the genetic mechanisms regulating panicle architecture in rice with GPWAS and GWAS. BMC Genomics, 22(1), 1–13. https://doi.org/10.1186/s12864-021-07391-x
   PubMed Web of Science ®Google Scholar