Correlation and Path Coefficient Analysis for Morphological and Biochemical Parameters in Sunflower (Helianthus Annuus L.)
-
Aqsa Tahir
,
M. Ahsan Iqbal
Abstract
The aim of this study was to evaluate the best performing lines in sunflower on the basis of phenotypic and genotypic correlation so that we can find out the which trait directly or indirectly effect the yield and quality of the sunflower because being an breeder our main aim is yield and quality and the lines which are performing best can be further used in the breeding programs. Sunflower is a valuable oil producing crop because it contains good quality oil composition and can be grown twice in a year. There is scarcity of oil in our country so that there is requisite to heighten the yield of sunflower in order to exploit its share in oilseed sector. The study was conducted at the research field of Rajawala farm, University of Agriculture, Faisalabad during year 2015–16 to study the correlation among yield related traits, oil and protein content in Sunflower (Helianthus annuus L.). 20 sunflower lines were sown in randomized complete block design with three replications. Data was assessed at maturity for plant height, leaves per plant, leaf area, head diameter, internode length, 100-achene weight, achene yield per plant, oil contents and protein contents. Genotypic and phenotypic correlation was estimated among these traits. The recorded data was subjected to statistical analysis of variance, correlation and path coefficient analysis. The line G-16 showed best performance for leaf area, head diameter and achene yield per plant. Line G-20 was good in 100 achene weight. The above mentioned lines could be used in future breeding programs for effective improvement in yield of sunflower. This data was helpful to select superior lines and these lines may also be used in further hybridization program to get better yield, oil and protein contents.
References
Amorim, E., Ramos, P., Patricia, N., Ungaro, A., Goncalves, M.R., Tammay, A.M. 2008. Correlation and path analysis in sunflower. Bragantia 76(2): 307–316.10.1590/S0006-87052008000200006Suche in Google Scholar
Anonymous. 2015–16. Economic survey of Pakistan. Government of Pakistan. Finance Division, Economic Advisor’s Wing, Islamabad.Suche in Google Scholar
Arshad, M., Ilyas, M.K., Khan, M.A. 2010. Genetic divergence and path coefficient analysis for seed yield traits in sunflower (Helianthus annuus L.) hybrids. Pakistan Journal of Botany 39(2): 2009–2013.Suche in Google Scholar
Ashoke, S., Mohamed, S., Narayanan, S. 2000. Character association and path coefficient analysis in sunflower. Crop Research 20(3): 453–457.Suche in Google Scholar
Assad, M. 1999. Comparison of selection criteria in normal and limited irrigation in sunflower. Euphytica 105(2): 83–90.10.1023/A:1003472212917Suche in Google Scholar
Chambó, E.D., Oliveira, N.T.E.D., Garcia, R.C., Ruvolo-Takasusuki, M.C.C., Toledo, V.D.A.A.D. 2017. Phenotypic correlation and path analysis in sunflower genotypes and pollination influence on estimates. Open Biological Sciences Journal 03: 9–15.10.2174/2352633501703010009Suche in Google Scholar
Chikkadevaiah, H., Sujatha, L., Nandni, C. 2002. Correlation and path coefficient analysis in sunflower. Helia 25(37): 109–118.10.2298/HEL0237109CSuche in Google Scholar
Dagustu, N. 2002. Correlation and path coefficient analysis of seed yield components in sunflower. Turkish Journal of Field Crops 7(1): 15–19.Suche in Google Scholar
Dewey, D., Lu, K. 1959. Correlation and path coefficient analysis of crested wheat grass seed production. Agronomy Journal 51: 515–518.10.2134/agronj1959.00021962005100090002xSuche in Google Scholar
Goksoy, A.T., Turan, Z.M. 2007. Correlations and path analysis of yield components in synthetic varieties of sunflower (Helianthus annuus L.). Acta Agronomica Hungarica 55(3): 136–139.10.1556/AAgr.55.2007.3.10Suche in Google Scholar
Habib, H., Mehdi, S.S., Rashid, A., Anjum, M.A. 2006. Genetic association and path analysis for seed yield in sunflower (Helianthus annuus L.). Pakistan Journal of Agricultural Science 43: 136–139.Suche in Google Scholar
Hassan, S.M.F., Iqbal, M.S., Rabbani, G., Din, N.U., Shabbir, G. 2012. Genetic variability, heritability and genetic advance for yield and yield components in sunflower (Helianthus annuus L.). Electronic Journal of Plant Breeding 3: 707–710.Suche in Google Scholar
Hladni, N., Skoric, D., Kraljevic-Balalic, M., Jocic, S., Dusanic, N. 2011. Line x tester analysis for yield components in sunflower and their correlations with seed yield (Helianthus annuus L.). Genetika 43(2): 297–306.10.2298/GENSR1102297HSuche in Google Scholar
Ilahi, F., Tahir, M.H.N., Sadaqat, H.A. 2009. Correlation and path coefficient analysis for achene yield and yield components in sunflower. Pakistan Journal of Agricultural Science 46: 20–24.Suche in Google Scholar
Iqbal, M., Ali, M.A., Abbas, A., Zulkiffal, M., Zeeshan, M., Sadaqat, H.A. 2009. Genetic behavior and impact of various quantitative traits on oil contents in sunflower under water stress conditions at productive phase. Plant Omics Journal 2(2): 70–77.Suche in Google Scholar
Jalil, S., Sadaqat, H.A., Tahir, H.N. 2014. Correlation studies among yield related traits for seed yield in sunflower (Helianthus annuus L.) under charcoal rot stress conditions. European Scientific Journal 10(9): 391–396.Suche in Google Scholar
Jockovic, M., Marinkovic, R., Jeromela, A.M., Radic, V., Canak, P., Hladni, N. 2012. Association between seed yield and some morphological characteristics in sunflower. Ratarstvo i Povrtarstvo 49: 53–57.10.5937/ratpov49-1205Suche in Google Scholar
Kalukhe, V.K., Moon, M.K., Magar, N.M., Patil, S.S. 2010. Character association and path analysis for seed yield in sunflower. International Journal of Plant Science 5(2): 594–598.Suche in Google Scholar
Kaya, Y., Evci, G., Durak, S., Peckan, V. and Gucer, T. 2007. Determining the relationships between yield and yield attributes in sunflower. Turk. J. Agric. 31: 237–244.Suche in Google Scholar
Khan, A., Murtaza, B., Yousaf, M. 2003. Variability and correlation studies in different newly developed sunflower hybrids. Asian Journal Plant Science 2(12): 887–890.10.3923/ajps.2003.887.890Suche in Google Scholar
Khan, H., Muhammad, S., Shah, R., Iqbal, N. 2007. Genetic analysis of yield and some yield components in sunflower. Sarhad Journal of Agriculture 23(4): 985–990.Suche in Google Scholar
Khokhar, M.I., Sadaqat, H.A., Tahir, M.N. 2006. Association and effect of yield related traits on achene yield in sunflower. International Journal of Agriculture and Biology 8(4): 450–451.Suche in Google Scholar
Kholgi, M., Bernousi, I., Darvishzadeh, R., Pirzad, A. 2011. Correlation and path coefficient analysis of seed yield related traits in Iranian Confectionery sunflower populations. African Journal of Biotechnology 10(61): 13058–13063.Suche in Google Scholar
Kown, S.H., Torrie, J.H. 1964. Heritability of and inter-relationship among traits of two soybean populations. Crop Science 4: 196–198.10.2135/cropsci1964.0011183X000400020023xSuche in Google Scholar
Kumar, D.S., Naveel, K., Vinit, K., Dhaka, R.P.S. 2010. Correlation and path coefficient analysis in sunflower. Progressive Agriculture 10(2): 316–322.Suche in Google Scholar
Machikowa, T., Saetang, C. 2008. Correlation and path coefficient analysis on seed yield in sunflower. Suranaree Journal of Science and Technology 15(3): 243–248.Suche in Google Scholar
Mahender, T.A., Tenaaier, N., Singh, S. 1998. Genetic variability and correlation among yield attributes in sunflower. Agriculture Journal 13(3): 233–235.Suche in Google Scholar
Manivannan, N., Karthika, R., Punitha, R., Vindhiyavarman, B., Muralidharan, P.V. 2008. Association pattern among yield attributes in varieties and hybrids of sunflower. Helia 31(49): 83–90.10.2298/HEL0849083MSuche in Google Scholar
Rehman, A.U., Sadaqat, H.A., Tahir, M.H.N. 2007. Correlation and path analysis for yield and yield components in sunflower. Life Sciences: An International Journal 1(4): 483–486.Suche in Google Scholar
Samo, R.P. 2007. Direct and indirect influence of yield components on yield in sunflower. Plant Genetics and Breeding 18(2): 17–20.Suche in Google Scholar
Sridhar, V., Shankar, V.G., Dangi, K.S. 2006. Variability parameters for yield and its components in sunflower (Helianthus annuus L.). Agriculture Science Digest 26(4): 288–290.Suche in Google Scholar
Steel, R.G.D., Torrie, J.H., Dickey, D.A. 1997. Principles and Procedures of Statistics: A Biometrical Approach, McGraw Hill Book Co., New York, USA.Suche in Google Scholar
Syed, W.H., Syed, S.N., Husnain, S. 2004. Variability for agronomic traits in sunflower random mating populations: Correlations estimated gains from selection and correlated responses to selection. Helia 27(41): 85–98.10.2298/HEL0441085SSuche in Google Scholar
Tahir, M.H.N., Sadaqat, H.A., Bashir, S. 2002. Correlation and path coefficient analysis of morphological traits in sunflower populations. International Journal of Agriculture and Biology 4(3): 341–343.Suche in Google Scholar
Tyagi, S.D. 2011. An analysis of the association factors influencing seed yield and oil percentage in sunflower (Helianthus annuus L.). Journal of Progressive Agriculture 11(1): 149–155.Suche in Google Scholar
Williams, L.J., Abdi, H. 2010. Fisher’s least significant difference (LSD) test. Encyclopedia. Res. Design 1–6. 218: 840–53.Suche in Google Scholar
Yankov, B., Tahsin, N. 2015. Genetic variability and correlation studies in some drought-resistant sunflower (Helianthus annuus L.) genotypes. Journal of Central European Agriculture 16(2): 212–220.10.5513/JCEA01/16.2.1611Suche in Google Scholar
Yasin, A.B., Singh, S. 2010. Correlation and path coefficient analysis in sunflower. Journal of Plant Breeding and Crop Science 2(5): 129–133.Suche in Google Scholar
© 2019 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Review Article
- Decoding Non-Target-Site Herbicide Resistance in Sunflower: The Beginning of the Story
- Research Articles
- Induced Mutagenesis for the Creation of New Starting Material in Sunflower Breeding
- DNA Marker-Based High-Throughput Identification of Downy Mildew Infected and Non-Infected Sunflower Plants
- Genetic and Phenotypic Diversity of the Sunflower Collection of the Pustovoit All-Russia Research Institute of Oil Crops (VNIIMK)
- Correlation and Path Coefficient Analysis for Morphological and Biochemical Parameters in Sunflower (Helianthus Annuus L.)
- Magnitude and Nature of Gene Effects Controlling Oil Content and Quality Components in Sunflower (Helianthus Annuus L.)
- Developing a Selection Criterion Using Correlation and Path Coefficient Analysis in Sunflower (Helianthus Annuus L.)
- Economic Efficiency and Bioenergetic Assessment of Predecessors and Fertilizer Systems in the Sunflower Cultivation
- Appropriate Nitrogen and Phosphorus Fertilizer Regime for Sunflower (Helianthus Annuus L.) In the Humid Tropics
Artikel in diesem Heft
- Frontmatter
- Review Article
- Decoding Non-Target-Site Herbicide Resistance in Sunflower: The Beginning of the Story
- Research Articles
- Induced Mutagenesis for the Creation of New Starting Material in Sunflower Breeding
- DNA Marker-Based High-Throughput Identification of Downy Mildew Infected and Non-Infected Sunflower Plants
- Genetic and Phenotypic Diversity of the Sunflower Collection of the Pustovoit All-Russia Research Institute of Oil Crops (VNIIMK)
- Correlation and Path Coefficient Analysis for Morphological and Biochemical Parameters in Sunflower (Helianthus Annuus L.)
- Magnitude and Nature of Gene Effects Controlling Oil Content and Quality Components in Sunflower (Helianthus Annuus L.)
- Developing a Selection Criterion Using Correlation and Path Coefficient Analysis in Sunflower (Helianthus Annuus L.)
- Economic Efficiency and Bioenergetic Assessment of Predecessors and Fertilizer Systems in the Sunflower Cultivation
- Appropriate Nitrogen and Phosphorus Fertilizer Regime for Sunflower (Helianthus Annuus L.) In the Humid Tropics
