The performance of agronomic traits, genetic variability, and correlation studies for yield and its components in some red rice (Oryza sativa) promising lines

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DOI https://doi.org/10.13057/biodiv/d220947
Issue
Vol. 22 No. 9 (2021)
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Articles

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GUSTI RAY SADIMANTARA
Department of Agrotechnology, Faculty of Agriculture, Universitas Halu Oleo. Jl. HEA Mokodompit, Kendari 93212, Southeast Sulawesi, Indonesia
DEWI NURHAYATI YUSUF ♥
Department of Soil Sciences, Faculty of Agriculture, Universitas Halu Oleo. Jl. HEA Mokodompit, Kendari 93212, Southeast Sulawesi, Indonesia
EKA FEBRIANTI
Department of Agrotechnology, Faculty of Agriculture, Universitas Halu Oleo. Jl. HEA Mokodompit, Kendari 93212, Southeast Sulawesi, Indonesia
SITTI LEOMO
Department of Soil Sciences, Faculty of Agriculture, Universitas Halu Oleo. Jl. HEA Mokodompit, Kendari 93212, Southeast Sulawesi, Indonesia
MUHIDIN
Department of Agrotechnology, Faculty of Agriculture, Universitas Halu Oleo. Jl. HEA Mokodompit, Kendari 93212, Southeast Sulawesi, Indonesia

Abstract

Abstract. Sadimantara GR, Yusuf DN, Febrianti E, Leomo S, Muhidin. 2021. The performance of agronomic traits, genetic variability, and correlation studies for yield and its components in some red rice (Oryza sativa) promising lines. Biodiversitas 22: 3994-4001. Improving a new variety commonly depends on the nature and magnitude of genetic variability and its utilization, followed by selection and evaluation before being released into new superior types. The present study aims to estimate the genetic variability and relation between yield and its related traits of the red rice promising lines. The experiment was arranged based on a randomized complete block design (RCBD) with three replications. Analysis of variance revealed significant differences among rice lines for 12 quantitative traits. The phenotypic coefficient of variation (PCV) value was higher than the genotypic coefficient of variation (GCV), indicating a negligible environmental influence in the phenotypic expression of traits. High heritability estimates coupled with high genetic advance were recorded for grain total per panicle and grain yield per hill. Grain yield observed a highly significant positive correlation with panicle length (0.63), percentage of filled grains (0.53), grain weight per panicle (0.54), and thousand-grain weight (0.52). It correlated negatively with days to 50% flowering (-0.61) and days to maturity (-0.48). The study indicated that panicle length, percentage of filled grains, grain weight per panicle, and thousand-grain weight are important yield-related traits and could be used for selection to improve the genetic potential of rice yield.

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References
Aghamolki MTK, Yusop MK, Jaafar HZ, Kharidah S, Musa MH, Zandi P. 2015. Preliminary Analysis of Growth and Yield Parameters in Rice Cultivars When Exposed to Different Transplanting Dates. Electron J Biol. 11:147–153.
Akter A, Jamil HM, Umma KM, Islam MR, Hossain K, Mamunur RM. 2014. AMMI biplot analysis for stability of grain yield in hybrid rice (Oryza sativa L.). J Rice Res. 2(2):126.
Akter K, Iftekharuddaula KM, Bashar MK, Kabir MH, Sarker MZA. 2004. Genetic variability, correlation and path analysis in irrigated hybrid rice. J Subtrop Agric Res Dev. 2:17–23.
Ansari A, Julfiquar AW, Rasul MG, Hasan MJ, Rahman MM. 2010. Genetic parameter, correlation and path analysis for yield and yield related traits in some maintainer lines of hybrid rice (Oryza sativa L). Eco-friendly Agril J. 3(2):89–95.
Bajaj S, Mohanty A. 2005. Recent advances in rice biotechnology—towards genetically superior transgenic rice. Plant Biotechnol J. 3(3):275–307.
Burton GW. 1952. Quantitative inheritance in grasses. Pro VI Int Grassl Cong, 1952.:277–283.
Choudhary P, Mishra DK, Koutu GK, Pachori A, Singh SK. 2018. Interrelationship of Yield and Quality Attributing Traits in JNPT Lines of Rice. Int J Bio-resource Stress Manag. 9(3):330–340.
Collard BCY, Mackill DJ. 2008. Marker-assisted selection: an approach for precision plant breeding in the twenty-first century. Philos Trans R Soc Lond B Biol Sci. 363(1491):557–572. doi:10.1098/rstb.2007.2170. https://pubmed.ncbi.nlm.nih.gov/17715053.
Devi KR, Chandra BS, Lingaiah N, Hari Y, Venkanna V. 2017. Analysis of variability, correlation and path coefficient studies for yield and quality traits in rice (Oryza sativa L.). Agric Sci Dig Res J. 37(1):1–9.
Falconer DS. 1996. Introduction to quantitative genetics. Pearson Education India.
Fehr WR. 1987. Principles of cultivar development: crop species. Macmillan publishing company.
Gautam A, Suresh J, Madhav MS. 2016. Study of Genetic Variability in Genotypes of Rice (Oryza sativa L.). Res J Agric Sci. 7(1):235–236.
Gopikannan M, Ganesh SK. 2013. Uncertainty in seasonal climate projection over Tamil Nadu for 21st century. African J Agric Res. 8(32):4334–4344. doi:10.5897/AJAR2013.7456.
Hosagoudar GN, S. Kovi B. 2018. Evaluation of Advanced Varietal Rice Genotypes for Leaf Blast Reaction, Genotypic Performance and Correlation Studies. Int J Curr Microbiol Appl Sci. 7(04):75–81. doi:10.20546/ijcmas.2018.704.009.
Hossain S, Haque MD M, Rahman J. 2016. Genetic Variability, Correlation and Path Coefficient Analysis of Morphological Traits in some Extinct Local Aman Rice (Oryza sativa L). Rice Res Open Access. 4(1):4–9. doi:10.4172/2375-4338.1000158.
Johnson HW, Robinson HF, Comstock RE. 1955. Estimates of genetic and environmental variability in soybeans 1. Agron J. 47(7):314–318.
Kadidaa B, Sadimantara GR, Suaib, Safuan LO, Muhidin. 2017. Genetic diversity of local upland rice (Oryza sativa L.) genotypes based on agronomic traits and yield potential in North Buton, Indonesia. Asian J Crop Sci. doi:10.3923/ajcs.2017.109.117.
Ketan R, Sarkar G. 2014. Studies on variability, heritability, genetic advance and path analysis in some indigenous Aman rice (Oryza sativa L.). J Crop Weed. 10(2):308–315.
Konate AK, Zongo A, Kam H, Sanni A, Audebert A. 2016. Genetic variability and correlation analysis of rice (Oryza sativa L.) inbred lines based on agro-morphological traits.
Lingaiah N, Venkanna V, Cheralu C, Chandra BS. 2014. Variability , Heritability and Genetic Advance for Yield and Yield Attributing Traits in Mid Early Genotypes of Rice (Oryza Sativa L.). Ijarset. 1(4):179–180.
Liu E, Liu Y, Wu G, Zeng S, Tran Thi TG, Liang L, Liang Y, Dong Z, She D, Wang H. 2016. Identification of a candidate gene for panicle length in rice (Oryza sativa L.) via association and linkage analysis. Front Plant Sci. 7:596.
Muhidin, Kamaruzaman J, Elwakib S, Yunus M, Kaimuddin, Meisanti A, Ray SG, La Rianda B. 2013. The development of upland red rice under shade trees. World Appl Sci J. doi:10.5829/idosi.wasj.2013.24.01.13179.
Muhidin, Leomo S, Alam S, Wijayanto T. 2016. Comparative studies on different agroecosystem base on soil physicochemical properties to development of Sago Palm on Dryland. Int J ChemTech Res. 9(8):511–518.
Nirmaladevi G, Padmavathi G, Kota S, Babu VR. 2015. Genetic variability, heritability and correlation coefficients of grain quality characters in rice (Oryza sativa L.). Sabrao J Breed Genet. 47(4):424–433.
Oko AO, Ubi BE, Efisue AA, Dambaba N. 2012. Comparative analysis of the chemical nutrient composition of selected local and newly introduced rice varieties grown in Ebonyi State of Nigeria. Int J Agric For. 2(2):16–23.
Onyia VN, Okechukwu EC, Atugwu AI, Akpan NM. 2017. Genetic variability studies on twelve genotypes of rice (Oryza sativa L.) for growth and yield Performance in south eastern Nigeria. Not Sci Biol. 9(1):110–115.
Patel JR, Saiyad MR, Prajapati KN, Patel RA, Bhavani RT. 2014. Genetic variability and character association studies in rainfed upland rice (Oryza sativa L.). Electron J Plant Breed. 5(3):531–537.
Pratap A, Bisen P, Loitongbam B, Sandhya, Singh PK. 2018. Assessment of Genetic Variability for Yield and Yield Components in Rice (Oryza sativa L.) Germplasms. Int J Bio-resource Stress Manag. 9(1):087–092. doi:10.23910/ijbsm/2018.9.1.3c0818.
Ramanjaneyulu A V, Shankar VG, Neelima TL, Shashibhusahn D. 2014. Genetic analysis of rice (Oryza sativa L.) genotypes under aerobic conditions on Alfisols. Sabrao J Breed Genet. 46(1).
Rawte S, Saxena RR. 2017. Correlation and path coefficient analysis of quality traits in selected rice ( Oryza sativa L .) germplasm accessions. Int J Chem Stud. 5(5):547–551.
Robinson HF, Comstock RE, Harvey PH. 1949. Estimates of Heritability and the Degree of Dominance in Corn 1. Agron J. 41(8):353–359.
Sadimantara GR, Cahyono E. 2014. Genetic Analysis on Some Agro-morphological Characters of Hybrid Progenies from Cultivated Paddy Rice and Local Upland Rice. Adv Stud Biol. 6(1):7–18.
Sadimantara GR, Muhidin, Ginting S, Suliartini NWS. 2016. The potential yield of some superior breeding lines of upland rice of Southeast Sulawesi Indonesia. Biosci Biotechnol Res Asia. 13(4):1867–1870.
Sadimantara GR, Muhidin, Sri Suliartini NW, Nuraida W, Sadimantara MS, Leomo S, Ginting S. 2018. Agronomic and yield characteristics of new superior lines of amphibious rice derived from paddy rice and local upland rice crossbreeding in konawe of Indonesia. Biosci Res. 15(2):893–899.
Shamim MZ, Sharma VK, Manzar H, Bhushan S. 2017. Grain Yield Components Analysis in Locally Adapted Rice Varieties. Int J Agric Environ Biotechnol. 10(4):435–442.
Shrivastava A, Koutu GK, Mishra DK, Singh SK. 2015. Characterization of JNPT lines of rice (Oryza sativa L.). Plant Arch. 15(1):397–403.
Singh SK, Singh CM, Lal GM. 2011. Assessment of genetic variability for yield and its component characters in rice (Oryza sativa L.). Res Plant Biol. 1(4).
Sivasubramanian S, Madhavamenon P. 1973. Genotypic and phenotypic variability in rice. Madras Agric J. 12:15–16.
Sohgaura N, Mishra DK, Koutu GK, Singh SK, Kumar V. 2014. Genetic evaluation of inter sub-specific derived RILs population for yield and quality attributes in rice. Trends Biosci. 7(18):2631–2638.
Srujana G, Suresh BG, Lavanya GR, Ram BJ, Sumanth V. 2017. Studies on Genetic Variability, Heritability and Genetic advance for yield and quality components in rice (Oryza sativa L.). J Pharmacogn Phytochem. 6(4):564–566.
Sutariati GAK, Arif N, Muhidin, Rakian TC, Mudi L, Nuralam. 2017. Persistency and seed breaking dormancy on local upland rice of Southeast Sulawesi, Indonesia. Pakistan J Biol Sci. 20(11):563–570
Syaiful SA, Syam’un E, Dachlan A, Kamaruzaman J, Haerani N. 2013. The effect of inoculating nitrogen fixing bacteria on production of rice. World Appl Sci J. 26:94–99.
Virmani SS, Ilyas-Ahmed M. 2007. Rice breeding for sustainable production. Breed Major Food Staples.:141–191.
Yoshida S. 1981. Fundaments of Rice Crop Science. Los Baños, Laguna, Philippines: International Rice Research Institute.
Zhao BH, Peng WANG, Hong-xi ZH, Qing-sen ZHU, Jian-chang Y. 2006. Source-Sink and Grain Filling Characteristics of Two-Line Hybrid Rice Yangliangyou 6. Rice Sci. 13(1):34–42.

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