Character association and path coefficient analysis for yield components and grain yield in soybean [Glycine max (L.) Merill.]

DOI: 10.18805/lr.v0i0.8408    | Article Id: LR-313 | Page : 630-634
Citation :- Character association and path coefficient analysis for yield components and grainyield in soybean [Glycine max (L.) Merill.] .Legume Research-An International Journal.2017.(40):630-634

S. U. Yahaya and E. Ankrumah.

suyahaya.agr@buk.edu.ng
Address :

Department of Agronomy, Bayero University, Kano, Nigeria.

Submitted Date : 23-08-2016
Accepted Date : 17-03-2017

Abstract

Field experiment was conducted during kharif 2014 at the Agricultural Research Station Farm, Minjibir, Bayero University, Kano. The study was conducted to know the nature and magnitude of the associations of some yield attributing characters on grain yield in Soybean.  There are eighteen treatments consisting of two levels (inoculated and non-inoculated) of rhizobium inoculation, three levels (0, 10, and 20 kg N ha-1) of nitrogen and three levels (0, 30, and 60 kg P2O5 ha-1) of phosphorus. These were laid in split-split plot design with three replications. Results of the study showed significant (p < 0.01) positive associations between all the measured characters and grain yield. The path analysis also revealed that number of pods per plant has the greatest direct effect on grain yield. The greatest combined contributions of yield characters to grain yield in soybean were observed from number of pods per plant and number seeds per pod. Based on these findings, attention can be given towards improvement of number of pods per plant and number of seeds per pod as criteria for selection of soybean for increased grain yield.

Keywords

Correlation Grain yield Path coefficient analysis Soybean Yield components.

References

  1. Adeniji, O. T. and Peter, J. M. (2005). Stepwise regression analysis of pod and seed yield characters in segregating F2 population of West African Okra (Abelmoschus caillei.) Proceedings of 30th Conference, Genetic Society of Nigeria, 250-258.
  2. Ankormah, A. B., Zapata F., Danso S. K. A. and Axmann. H. (1995). Cowpea varietal differences in uptake of phosphorus from Gafsa phosphate rock in a low-P Ultisol. Fertilizer Research 41: 219-25
  3. Archana, M. Narkhede. N. B. D., Gite. Ghorade R. B., and Golhar. S. R. (1999). Path analysis in Soybean (Glycine max L. Merrill). Journal of Soils and Crop 9: 250-251
  4. Ball, R. A., McNew, Vories R. W. E. D., Keisling J. C. and Purcell L. C. (2001). Path analysis of population density effects on short-    season Soybean yield. Agronomy Journal 93: 187-195.
  5. Gomez, K. A. and Gomez, A. A. (1984). Statistical Procedures for Agricultural Research, 2nd edition. John Wiley and Sons Inc., New York.
  6. IITA. (1993). Archival Report (1988-1992), Crop Improvement Division, Grain Legume Improvement Program Part III. Soybean Biological Nitrogen Fixation. Pp: 10.
  7. Israel, D.W. (1993). Symbiotic di-nitrogen fixation and host-plant growth during development of and recovery from phosphorus deficiency. Plant Physiology 88: 294- 300.
  8. Katoch, V., Singh, P., Devei, M. B., Sharma, A., Sharma, G. D. and Sharma, J. K. (2016). Study on genetic variability, character association, path analysis and selection parameters for heterotic recombinant Inbred lines of garden peas. (Pisum sativum var. Hortense L.) under mid-hill conditios of Hamachal Pradesh, India. Legume Research 39(2): 163 - 169 
  9. Khan, A. M. and Khan. A. H. (2000). Heritability and interrelationship among yield determining components of soybean varieties. Pakistan Journal of Agricultural Research, 116:5-8.
  10. Khanhgah, H. Z. and Sohani. A. R. (1999). Genetic evaluation of some important agronomic traits related to seed yield by Multivariate of Soybean analysis methods. Iranian Journal of Agricultural Science. 30: 807-816
  11. Majid, M. T., Abbasi. M. K., Nasir. R., K. Abdul and Mushtaq. H. K. (2009). Effect of Rhizobium Inoculation and NP fertilization on growth, yield and nodulation of Soybean (Glycine max L.) in the sub-humid hilly region of Rawalakot Azad Jammu and Kashmir, Pakistan. African Journal of Biotechnology 8(22): 6191 – 6200
  12. Pandey, P., Kumar, R. and Pandey, V. R. (2016). Genetic association studies for yield and yield related traits in pigeon pea (Cajanus cajan (L.) Millsp). Legume Research 39(2): 189 - 193
  13. Poolman, J. M. (1959). Breeding Sugar beets. Breeding Field Crops. Holt Rinehart and Winston Inc., New York pp. 329 – 352
  14. Shahid Iqbal, Tariq, M., Tahira, M. A., Muhammad, A., and Muhammad, S. (2003). Path co-efficient analysis in different genotypes of soybean (Glycine max (L.) Merill).Pakistan Journal of Biological Science 6: 1085 – 1087 
  15. Siahsar, B. and Rezai. A. (1999). Correlation and path coefficient analysisof morphological and phenological traits associated with yield in Soybean (Glycine max L. Merr). Iranian Journal of Agricultural Science 30: 685-696
  16. Sikka, R., Singh, D., Deol, J. S. and Kaur, J. (2015). Productivity enhancement of Soybean as influenced by integrated nutrient and other agronomic interventions in sub-humid Punjab, India. Legume Research 39(5): 768 - 773
  17. Singh, J. and Yadava. H.S. (2000). Factors determining seed yield in early generation of soybean. Crop Research Hisar 20: 239-243
  18. Singh, K., S. Singh and Kier. D. S. (2000). Correlation and regression studies among various growth and yield parameters of Soybean (Glycine max L. Merill) under Punjabconditions. Crop Research Hisar 19: 287–297
  19. Simmond, N. W., J. Smartt, S. Millen, and W. Spoor.(1999). Principles of crop improvement, 2nd edition, Published Longman Group Ltd. Pp 252-256.
  20. Sreenivas, G., Arya, K., Sheeba, R. I. And Jessy, M. K. (2015). Character association and path analysis for yield and yield components in okra (Abelmoschus esculentus (L.) Moench). International Journal of Scientific Research 4(6): 141-143 

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