[
Adair, C. R. (1952). The McGill miller method for determining the milled quality of small samples of rice. Rice Journal, 55(2), 21 ‒ 23.
]Search in Google Scholar
[
Adams, M. W. (1995). An estimate of homogeneity in crop plants with special reference to genetic vulnerability in dry season. Phseolus vulgaris. Ephytica, 26, 665 ‒ 679. DOI:10.1007/BF00021692.
]Open DOISearch in Google Scholar
[
Akinwale, M., Gregorio, G., Nwilene, F., Akinyele, B., Ogunbayo, S. A., and 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. DOI:10.5897/AJPS.9000137.
]Open DOISearch in Google Scholar
[
Allard. R. W. (1960). Principles of Plant Breeding. John Wiley and Sons. New York, 485p.
]Search in Google Scholar
[
Altaher, A. F. and Singh, R. P. (2003). Genetic studies in upland cotton (Gossypium hirsutum L.) using two methods of clustering. Journal Indian Society Cotton Improvement, 28(3), 158 ‒ 163.
]Search in Google Scholar
[
Al-Tahir, F. M. M. (2014). Flag leaf characteristics and relationship with grain yield and grain protein percentage for three cereals. Journal Medicinal Plants Studies, 2(5), 01 ‒ 07.
]Search in Google Scholar
[
Amy, E. L. and Pritts, M. P. (1991). Application of principal component analysis to horticultural research. HortScience, 26(4), 334 ‒ 338. DOI:10.21273/HORTSCI.26.4.334.
]Open DOISearch in Google Scholar
[
Arnon, D. I. (1949). Copper enzymes in isolated chloroplasts. Polyphenoloxidase in Beta vulgaris, plant physiology, 24(1), 1 – 15. DOI:10.1104/pp.24.1.1.
]Open DOISearch in Google Scholar
[
Bhargava, K., Shivani, D., Pushpavalli, S. N. C. V. L., Sundaram, R. M., Beulah, P., and Senguttuvel, P. (2021). Genetic variability, correlation, and path coefficient analysis in segregating population of rice. Electronic Journal of Plant Breeding, 12(2), 549 ‒ 555. DOI:10.37992/2021.1202.077.
]Open DOISearch in Google Scholar
[
Briggs, K. G. and Aytenfisu, A. (1980). Relationships between morphological characters above the flag leaf node and grain yield in spring wheats. Crop Science, 20(3), 350 – 4. DOI:10.2135/cropsci1980.0011183X002000030016x.
]Open DOISearch in Google Scholar
[
Burton, G. W. (1952). Quantitative inheritance in grasses. In Proceeding from 6th Int. Grassland Cong. Pennsylvania 1: 277 ‒ 283.
]Search in Google Scholar
[
Burton, G. W. and DeVane, E. M. (1953). Estimating heritability in tall fescue (Festuca arundinacea L.) from replicated clonal material. Agronomy Journal, 45, 478 ‒ 481. DOI:10.2134/agronj1953.00021962004500100005x.
]Open DOISearch in Google Scholar
[
Comstock, R. E. and Robinson, H. F. (1952). Genetic parameters, their estimation and significance. In Proceeding from 6th Intl. Grassland Cong. Pennsylvania, 1: 284 ‒ 291.
]Search in Google Scholar
[
Das, S., Das, S. S., Chakraborty, I., Roy, N., Nath, M. K., and Sarma, D. (2018). Principal component analysis in plant breeding. Biomolecule Reports. An International eNews-letter. Avaiable at: https://www.researchgate.net/publication/327040954_Principal_Component_Analysis_in_Plant_Breeding.
]Search in Google Scholar
[
Dehghani, D., Omidi, H. and Sabaghnia, N. (2008). Graphic analysis of trait relations of canola (Brassica napus L.) using biplot method. Agronomy Journal, 100, 760 ‒ 764. DOI:10.2134/agronj2007.0275.
]Open DOISearch in Google Scholar
[
Diako, C., Manful, J. T., Johnson, P. N. T, Sakyi-Dawson, E., Bediako-Amoa, B., and Saalia, F. K. (2011). Physicochemical characterization of four commercial rice varieties in Ghana. Advance Journal of Food Science and Technology, 3(3), 196 ‒ 202.
]Search in Google Scholar
[
Falconer, D. S. (1989). Introduction to quantitative genetics (3ed). Longman Scientific and Technical, Longman House, Burnt Mill, Harlow, Essex, England.
]Search in Google Scholar
[
Fathima, M. A., Geetha, S., Amudha, K., and Uma, D. (2021). Genetic variability, frequency distribution and association analysis in ADT (R) 48 x Kavuni derived F2 population of rice (Oryza sativa L.). Electronic Journal of Plant Breeding, 12(3), 659 ‒ 666. https://www.ejplantbreeding.org/index.php/EJPB/article/view/3999.
]Search in Google Scholar
[
Ghimire, N. H. and Mahat P. H. (2019). Genetic variability and correlation coefficients of major traits in cold tolerance rice (Oriza sativa L.) under mountain environment of Nepal. International Journal of Applied Sciences Biotechnology, 7(4), 445 ‒ 452. DOI:10.3126/ijasbt.v7i4.26922.
]Open DOISearch in Google Scholar
[
Gladun, L. V. and Karpov, E. A. (1993). Distribution of assimilates from the flag leaf of rice during the reproductive period of development. Russian Journal of Plant Physiology, 40(2), 215 – 219.
]Search in Google Scholar
[
Jiantao, W., Yongwen, Q., Guanglong, H., Jinjie, L., Zichao, L., and Zhang, H. (2017). Genetic architecture of flag leaf length and width in rice (Oryza sativa L.) revealed by association mapping. Genes Genome, 39(3), 341 – 352. DOI: 10.1007/s13258-016-0501-8.
]Open DOISearch in Google Scholar
[
Jolliffe, I. T. (1986). Principal Component Analysis. New York: Springer. DOI:10.1007/b98835.
]Open DOISearch in Google Scholar
[
Kartahadimaja, J., Utomo, S. D., Yuliadi, E., Salam, A. K., Warsono, A., and Wahyudi, A. (2021). Agronomic characters, genetic and phenotypic diversity coefficients, and heritability of 12 genotypes of rice. Biodiversitas, 22(3), 1091 ‒ 1097. DOI:10.13057/biodiv/d220302.
]Open DOISearch in Google Scholar
[
Khan, N. and Naqvi, F.N. (2011). Heritability of morphological traits in bread wheat advanced lines under irrigated and non-irrigated conditions. Asian Journal of Agricultural Sciences 3(3), 215 ‒ 222. https://www.maxwellsci.com/print/ajas/v3-215-222.pdf
]Search in Google Scholar
[
Khatun, M. T., Hanafi, M. M., Yusop, M. R., Wong, M. Y., Salleh, F. M., and Ferdous, J. (2015). Genetic variation, heritability, and diversity analysis of upland rice (Oryza sativa L.) genotype based on quantitative traits. BioMed Research International, 2015, Article ID 290861. DOI:10.1155/2015/290861.
]Open DOISearch in Google Scholar
[
Kumar, S., Chauhan, M. P., Tomar, A., and Kasana, R. K. (2018). Coefficient of variation (GCV & PCV), heritability and genetic advance analysis for yield contributing characters in rice (Oryza sativa L.). Journal of Pharmacognosy and Phytochemistry, 7(3), 2161 ‒ 2164. https://www.phytojournal.com/archives/2018/vol7issue3/PartAC/7-3-336-838.pdf.
]Search in Google Scholar
[
Lakshmi, M., Shanmuganathan, M., Jeyaprakash, P., and Ra-mesh, T. (2022). Genetic variability and diversity analysis in selected rice (Oryza sativa L.) varieties. Electronic Journal of Plant Breeding, 13(3), 959 – 966. https://www.ejplantbreeding.org/index.php/EJPB/article/view/4396.
]Search in Google Scholar
[
Maji, A. T. and Shaibu, A. A. 2012. Application of principal component analysis for rice germplasm characterization and evaluation. Journal of Plant Breeding and Crop Science, 4(6), 87 – 93. DOI:10.5897/JPBCS11.093.
]Open DOISearch in Google Scholar
[
Massy, W. F. (1965). Principal components regression in exploratory statistical research. Journal of the American Statistical Association, 60, 234 ‒ 266. DOI:10.1080/01621459.1965.10480787.
]Open DOISearch in Google Scholar
[
Nachimuthu, V. N., Robin, S., Sudhakar, D., Raveendran, M., Rajeswari, S., and Manonmani, S. (2014). Evolution of rice genetic diversity and genetic variability in a population panel by principal component analysis. Indian Journal of Science and Technology, 7(10), 1555 ‒ 1562. DOI:10.17485/ijst/2014/v7i10.14.
]Open DOISearch in Google Scholar
[
Nikhitha, T. C., Pushpham, R., Raveendran, M., and Manonmani, S. (2020). Genetic variability and frequency distribution studies in F2 population involving traditional variety mappillai samba. Electronic Journal of Plant Breeding, 11 (03), 933 ‒ 938. https://www.ejplantbreeding.org/index.php/EJPB/article/view/3639
]Search in Google Scholar
[
Niu, Y., Chen, T., Zheng, Z., Zhao, C., Liu, C., Jia, J., and Zhou, M. (2022). A new major QTL for flag leaf thickness in barley (Hordeum vulgare L.). BMC Plant Biology, 22, 305.
]Search in Google Scholar
[
Osman, K. A., Mustafa, A. M., Ali, F., Yonglain, Z., and Fazhan, Q. (2012). Genetic variability for yield and related attributes of upland rice genotypes in a semi-arid zone (Sudan). African Journal of Agricultural Research, 7(33), 4613 – 4619. DOI:10.5897/AJAR12.529.
]Open DOISearch in Google Scholar
[
Paikhomba, N., Kumar, A., Chaurasia, A. K., and Rai, P. K. (2013). Assessment of genetic parameters for yield and yield components in hybrid rice and parents. Journal of Rice Research, 2(1), 1000117. DOI:10.4172/jrr.1000117.
]Open DOISearch in Google Scholar
[
Rahman, A. U., Shah, S. M. A., Rahman, H. U., Shah, L., Ali, A., and Raza, M. A. (2015). Genetic variability for morphological parameters in F2 segregating populations of rice. Academia Journal of Agricultural Research, 3(10), 296 ‒ 302. DOI:10.15413/ajar.2015.0140.
]Open DOISearch in Google Scholar
[
Raiza, C. G., Thirumurugan, T., Jeyaprakash, P., and Rajanbabu, V. (2021). Principal component analysis of yield and yield related traits in rice (Oryza sativa L.) landraces. Electronic Journal of Plant Breeding, 12(3), 907 ‒ 911. https://www.ejplantbreeding.org/index.php/EJPB/article/view/4008.
]Search in Google Scholar
[
Singh, M., Singh, H.P., Saha, R., Samal, P., Hussain, M., Sharma, S., Nitesh, S. D., and Koutu, G. K. (2018). Genetic analysis of green super rice (Oryza sativa L.) for yield and quality. International Journal of Current Microbiology and Applied Sciences, 7(2), 3166 ‒ 3173. DOI:10.20546/ijcmas.2018.702.381.
]Open DOISearch in Google Scholar
[
Singh, P., Singh, S. K., Korada, M., Khaire, A., Singh, D. K., Habde, S. V., Majhi, P. K., and Naik, R. (2021). Exploring variability and genetic diversity among rice genotypes in Eastern Uttar Pradesh. Electronic Journal of Plant Breeding, 12(4), 1367 ‒ 1374. https://www.ejplantbreeding.org/index.php/EJPB/article/view/3763.
]Search in Google Scholar
[
Singh, S. P., Singharia, G. S., Parry, G. A., and Bhat, G. N. (2005). Genetic variability and heritability in rice (Oryza sativa L.). Environment and Ecology Interdisciplinary International Science Journal, 3, 549 ‒ 551.
]Search in Google Scholar
[
Steel, R. G. D., Torrie, J. H. and Dickey, D. A. (1997). Principles and Procedures of Statistics: A Biometric Approach. 3ed Ed. New York, USA: McGraw-Hill Book Co., 666p.
]Search in Google Scholar
[
Subramanian, A., Nirmal Raj, R., Maheswarappa, H. P., and Shoba, N. (2019). Genetic variability and multivariate analysis in tall coconut germplasms. Journal of Pharmacognosy and Phytochemistry, 8(3), 1949 ‒ 1953. Avaiable at: https://krishi.icar.gov.in/jspui/bitstream/123456789/24472/1/genetic%20variability.pdf.
]Search in Google Scholar
[
Tejaswini, K., Srinivas, M., Boggavarapu, K., Venkata, P., Lal, M., and Raju, S. (2018). Application of principal component analysis for rice f5 families characterization and evaluation. Emergent Life Sciences Research, 4(1), 72 ‒ 84. DOI:10.31783/ELSR.2018.417284.
]Open DOISearch in Google Scholar
[
Tiruneh, A., Gebrselassie, W. and Tesfaye, A. (2019). Genetic diversity study on upland rice (Oryza sativa L.) geno-types based on morphological traits in Southwestern Ethiopia. Asian Journal of Crop Science, 11(1), 17 ‒ 24. DOI: 10.3923/ajcs.2019.17.24.
]Open DOISearch in Google Scholar
[
Tuhina-Khatun, M., Newaz, M. A. and Bari, M. A. A. (2007). Combining ability and heritability estimates in F2 diallel population of spring wheat under interacting environments. Bangladesh Journal of Agricultural Sciences, 34, 75 – 82.
]Search in Google Scholar
[
Ward, J. H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58, 236 ‒ 244. DOI:10.1080/01621459.1963.10500 845.
]Open DOISearch in Google Scholar
[
Williams, G., Mishra, A., Verma, A., Suresh, B. G. and Lavanya, G. R. (2021). Genetic variability and correlation studies for yield and yield related traits in rice (Oryza sativa L.). International Journal of Current Microbiology and Applied Sciences, 10(01), 752 ‒ 764. DOI:10.20546/ijc-mas.2021.1001.093.
]Open DOISearch in Google Scholar
[
Worede, F. T., Sreewongchai, C. P. and Sripichitt, P. (2014). Multivariate analysis of genetic diversity among some rice genotypes using morpho-agronomic traits. Journal of Plant Sciences, 9(1), 14 – 24. DOI:10.3923/jps.2014.14.24.
]Open DOISearch in Google Scholar
[
Yao, D., Wu, J., Luo, Q., Shen, H., Zhuang, W., Xiao, G., Li, J., Li, Y., Deng, Q., Lei, D. and Bai, B. (2021). Comprehensive evaluation of high-temperature tolerance of six rice varieties during the grain-filling period based on a key starch physicochemical index. LWT-Food Science and Technology, 148, 111804. DOI:10.1016/j.lwt.2021.111804.
]Open DOISearch in Google Scholar
[
Yuan, S., Li, Y., Peng, S. (2015). Leaf lateral asymmetry in morphological and physiological traits of rice plant. PLoS One, 10(6), e0129832. DOI:10.1371/journal.pone.012983.
]Open DOISearch in Google Scholar
