Study of Quantitative Traits with Different Statistical Parameters in Registered Inbred Rice (Oryza sativa L.)

Aldrin Y. Cantila1,*, Sailila E. Abdula2, and Haziel Jane C. Candalia1

1Philippine Rice Research Institute Midsayap Experimental Station, North Cotabato,
2Philippine Rice Research Institute Central Experimental Station, Nueva Ecija

*Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.


The primary quantitative trait grain yield (GY) and secondary traits viz., days to maturity (DM), number of productive tillers (NPT), plant height (PH), panicle weight (PW), spikelet fertility (SF), spikelet number per panicle (SNP), and thousand seed weight (TSW) of 18 Philippine registered inbred rice were studied using different statistical parameters viz., correlation analysis, genotypic and phenotypic coefficient of variability (GCV and PCV), broad sense heritability (H2b), and genetic advance (GA). There was a significant, positive, and strong correlation between DM and PH, PW and SNP, PW and GY, and SNP and GY. GCV showed moderate variability in PW with 11.94% and NPT with 10.55%. PCV also showed moderate variability in NPT with 17.23%, GY with 14.3%, PW with 13.89% and SNP with 12.67%. All traits except for PW and SNP in GCV and traits except for NPT, GY, PW, and SNP in PCV showed low variability. H2b too had PH with 79.26%, PW with 73.91%, and SNP with 60.39% as high heritability while GA expressed to the mean (GAM) had PW with 21.14% as high genetic gain. The study found out that PW and SNP had positive and strong association to GY, but only PW had consistent and considerable amount of genotypic and phenotypic variations. Furthermore, high H2b along with high GAM was only obtained in PW. Therefore, the different statistical parameters were in congruent with the implication that higher grain yield can be achieved by attaining genotypic selection in PW.

Rice is undeniably the most prominent crop in the Philippines and throughout Southeast Asia. Philippine rice production had been increased due to the adoption of registered rice varieties (Sombilla & Quilloy 2014).  Registered rice varieties aside from possessing genes for biotic and abiotic resistance were developed to be high yielding. In the Philippines, Cantila and co-workers (2016) found out that the days to 50% flowering, days to maturity, number of filled grains per panicle, number of tillers, one thousand grain weight, plant height, panicle length, panicle weight, spikelet fertility, and spikelet number per panicle have positive correlation with grain yield based on four hybrids, four special type of rice, and 21 inbred rice. Yield is the result of contributory effects of multiple traits, especially the secondary traits associated to yield (Yoshida 1983). According to Yano and Sasaki (1997), these traits have higher heritability and are less affected by the environmental than yield itself. Studying these traits therefore provides breeders what trait or traits to focus in the genotypic selection that leads yield improvement (Akhtar et al. 2011). In addition, secondary traits are morphologically-based, data are easy to extract (Fufa et al. 2005) and its . . . . read more

ADAMS MW, GRAFIUS JE. 1971. Yield components compensation: alternative interpretation. Crop Sci 11:33-35.
ADDINSOFT. 2010. XLSTAT, Data analysis and statistics software for Microsoft Excel. Paris, France.
AKHTAR N, NAZIR MF, RABNAWAZ A, MAHMOOD T, SAFDAR ME, ASIF M, REHMAN A. 2011. Estimation of heritability, correlation and path coefficient analysis in fine grain rice (Oryza sativa L.). The J Anim Plant Sci 21(4):660-664.
ALLARD RW. 1960. Principles of plant breeding.  Wiley and Sons Inc. London. p. 83-108.
ANALYTICAL SOFTWARE. 2009. Statistix 9.0. User's Manual Analytical Software. Florida State University PO Box 12185, Tallahassee, Florida 32317, USA.
ASHFAQ M, KHAN AS, KHAN SHU, AHMAD R. 2012. Association of various morphological traits with yield and genetic divergence in rice (Oryza sativa L.). Int J Agric Biol 14:55-62.
AUGUSTINA UA, IWUNOR OP, IJEOMA OR. 2013. Heritability and character correlation among some rice genotypes for yield and yield components. J Plant Breed Genet 1(2):73-84.
BURTON GW, DE VANE EM. 1953. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agron J 45:478-481.
CANTILA AY, ABDULA SE, CANDALIA HJC, BALLERAS GD. 2016. Multiple statistical tools for divergence analysis of rice (Oryza sativa L.) released varieties. The Philippine Statistician 65(2):121-134.
DESHMUKH SN, BASU MS, REDDY PS. 1986. Genetic variability, character association and path coefficient analysis of quantitative traits in Virginia bunch varieties of groundnut. Indian J Agric Sci 56:816-821.
DIXON WJ. 1980. Analysis of extreme values. Annals of Math Stat 21:488-506.
ELLIOTT AC, WOODWARD WA. 2007. Statistical analysis quick reference guidebook with SPSS examples. 1st ed. London: Sage Publications.
FUFA H, BAENIZGER PS, BEECHER BS, DWEIKAT I, GRAYBOSCH RA, ESKRIDGE, KM. 2005.Comparison of phenotypic and molecular-based classifications of hard red winter wheat cultivars. Euphytica 145:133-146.
HANSON CH, ROBINSON HF, COMSTOCK RE. 1956. Biometrical studies of yield in segregating populations of Korean Lespedza. Agron J 48:268-272.
JOHANNSEN W. 1911. The genotype conception of heredity. American Naturalist.45(531):129-159.
JOHNSON HW, ROBINSON HF, COMSTOCK RE. 1955. Estimates of genetic and environmental variability in soybean. Agron J 47:314-318.
KOLMOGOROV A. 1941. Confidence limits for an unknown distribution function. Annals of Math Stat 12:461-463.
LAKSHMI MV, SUNEETHA Y, YUGANDHAR G, LAKSHMI NZ, 2014. Correlation studies in rice (Oryza sativa L.). Int J Gen Eng Biotechnol 5(2):121-126.
LARIK AS, MALIK SI, KAKAR AA, NAZ MA. 2000. Assessment of heritability and genetic advance for yield and yield components in Gossypium hirsutum L. Scientific Khyber 13:39-44.
LILLIEFORS H. 1967. On the Kolmogorov-Smirnov test for normality with mean and variance unknown. J Am Stat Assoc 62:399-402.
MANDEL J. 1985. A new analysis of inter laboratory test results. In: ASQC Quality Congress Transaction, Baltimore. p. 360-366.
MAPHUMULO SG, DERERA J, QWABE F, FATO P, GASURA E, MAFONGOYA P. 2015. Heritability and genetic gain for grain yield and path coefficient analysis of some agronomic traits in early-maturing maize hybrids. Euphytica 206:225-244.
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.
[PhilRice] Philippine Rice Research Institute. 2007. PalayCheck system for irrigated lowland rice. PhilRice, Maligaya, Science City of Muñoz, Nueva Ecija. 90p.
RAZALI NM, WAH YB. 2011. Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. J Stat Model Anal 2(1):21-33.
ROBINSON H, COMSTOCK RE, HARVEY P. 1949. Estimates of heritability and the degree of dominance in corn. Agron J 41:353-359.
SANNI KA, FAWOLE I, OGUNBAYO A, TIA D, SOMADO EA, FUTAKUCHI, GUEI RG. 2012. Multivariate analysis of diversity of landrace rice germplasm. Crop Sci 52:494–504.
SHAPIRO SS, WILK MB. 1965. An analysis of variance test for normality (complete samples). Biometrika 52(3):591-611.
SHULKA S, BHARGAVA A, CHATTERJEE A, SIRIVASTAVA J, SINGH N, SINGH SP. 2006. Mineral profile and variability in vegetable amaranth (Amaranthus tricolor). Plant Food Hum Nutr 61:23-28.
SINGH R K, CHAUDHARY BD. 1985. Biometrical methods in quantitative genetic analysis. Kalyani Publisher, New Delhi, India.
SMIRNOV NV. 1939. On the estimation of the discrepancy and empirical curves of distribution for two independent samples. Bull Mosc U2:3-14.
SOMBILLA MA, QUILLOY K. 2014. Strengthening the Philippine rice seed system. ReSAKSS Policy Note 10. Washington, D.C.: International Food Policy Research Institute (IFPRI).
TAYLOR R. 1990. Interpretation of the correlation coefficient: A basic review. J Diagn Med Sonogr 6: 35-39.
WILRICH PT. 2013. Critical values of Mandel’s h and k, the Grubbs and the Cochran test statistic. Adv Stat Anal 97(1):1-10.
WOLIE A, DESSALEGN T, BELETE K. 2013. Heritability, variance components, and genetic advance of some yield and yield related traits in Ethiopian collections of finger millet [Eleusine coracana (L.) Gaertn.] genotypes. Afr J Biotechnol 12(36):5529-5534.
WRICKE G, WEBER WE. 1986. Quantitative genetics and selection in plant breeding. Walter de Gruyter & Co. Berlin, Germany.
YANO M, SASAKI T. 1997. Genetic and molecular dissection of quantitative traits in rice. Plant Mol Biol 35:145-153.
YOSHIDA S. 1983. Rice in ‘Potential productivity of field crops under different environments’. (Eds WH Smith, SJ Banta) (International Rice Research Institute Publishing: Los Baños, Philippines) p. 103-127.