Correlation Studies for Yield and its Components in Chickpea under Low Input Conditions

Authors

  • Jeevanjot Kaur Department of Crop Improvement, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur - 176 062
  • Neelam Bhardwaj Department of Crop Improvement, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur - 176 062

Keywords:

Low Input Conditions, Character Associations, Direct and Indirect Effects.

Abstract

The present investigation was undertaken during rabi 2017 at Experimental Farm of the Department of Organic Agriculture and Natural Farming on the fourteen germplasm lines of chickpea to estimate the associations among various traits including their direct and indirect effects on seed yield and to identify potential genotypes under low input conditions. Correlation studies revealed that secondary branches per plant, pods per plant, nodule number, nodule fresh weight, nodule dry weight, biological yield per plant and harvest index were positively correlated with seed yield per plant at genotypic and phenotypic level whereas days to 50 per cent flowering and nitrogen fixation positively correlated with yield only at genotypic level. Secondary branches per plant, harvest index, nodule dry weight, nodule number, seeds per pod, biological yield per plant and pods per plant exhibited high direct effect implying that these traits can act as selection indices for seed yield. Among the different genotypes, best genotypes for seed yield were 18-II, 113-P, P-30-6 and DKG-964 under low input conditions.

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Published

2019-12-31

How to Cite

Kaur, J., & Bhardwaj, N. (2019). Correlation Studies for Yield and its Components in Chickpea under Low Input Conditions. Himachal Journal of Agricultural Research, 45(1&2), 15–19. Retrieved from https://hjar.org/index.php/hjar/article/view/150364

References

Ahmed N, Rameshwar, Saini JP, Sharma RP, Punam and Seth M. 2017. Performance of chickpea under organic and inorganic sources of nutrients at different soil moisture regimes in chickpea-okra cropping system. Himachal Journal of Agricultural Research 43(1): 23-28.

Anonymous. 2017a. Food and Agricultural Organization of the United Nations. http://www.FAOstat.fao.org

Anonymous. 2017b. Statistical year book of Himachal Pradesh. p. 70-73.

Bhanu AN, Singh MN, Tharu R and Saroj SK. 2017. Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea genotypes. Indian Journal of Agricultural Research 51: 425-430.

Bhardwaj N, Rana V and Saini JP. 2012. Correlation analysis of yield and yield components in wheat under organic vis-a-vis inorganic input conditions. Crop Improvement (Special Issue). pp. 253-254.

Chakarborti M and Singh NP. 2004. Biocompost: a novel input to the organic farming. Agrobios Newsletter 2 (8): 14-15.

Chopdar DK, Baudh B, Sharma PP, Dubey RB, Brajendra and Meena BL. 2017.Studies on genetic variability, character association and path analysis for yield and its contributing traits in chickpea (Cicer arietinum L.). Legume Research 40: 824-829.

Dewey DR and Lu KH. 1959. A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Journal 51: 510-515.

Dhima K, Stefanos VS and Eleftherohorinos I. 2015. Effect of cultivar, irrigation and nitrogen fertilization on chickpea productivity. Journal of Scientific Research 6 (2): 1187-1194.

Namvar A, Sharifi RS, Sedghi M, Zakaria RA, Khandan T and Eskandarpour B. 2011. Study on the effects of organic and inorganic nitrogen fertilizer on yield, yield components, and nodulation state of chickpea (Cicer arietinum L.). Communications in Soil Science and Plant Analysis 42: 1097-1109.

Panse VG and Sukhatme PV. 1987. Statistical Methods for Agricultural Workers. Indian Council of Agricultural Research, New Delhi p 359.

Priyadarsini L, Singh PK, Chatterjee C, Sadhukhan R and Biswas T. 2017. Estimation of genetic variability of nodulation characters and their association with different agromorphic characters and yield in chickpea (Cicer arietinum L.). International Journal of Agronomy and Agricultural Research 6: 1928-1935.

Ramanappa TM, Chandrashekara K and Nuthan D. 2013.Analysis of variability for economically important traits in chickpea (Cicer arietinum L.). International Journal of Research in Applied, Natural and Social Sciences 1: 133-140.

Raval LJ and Dobariya KL. 2003. Yield components in improvement of chickpea (Cicer arietinum L.).

Annals of Agricultural Research 24: 789-794.

Shafique MS, Ahsan M, Mehmood Z, Abdullah M, Shakoor A and Ahmad MI. 2016. Genetic variability and interrelationship of various agronomic traits using correlation and path analysis in Chickpea (Cicer arietinum L.). Academia Journal of Agricultural Research 4: 82-85.

Srivastava S, Lavanya GR and Lal GM. 2017. Genetic variability and character association for seed yield in chickpea. Journal of Pharmacognosy and Phytochemistry 6: 748-75.

Wright S. 1921. The method of path coefficient. Annals of Mathematical Statistics 5: 160-169.

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