Genetic Analysis of Variation in Rice (Oryza Sativa L.) For Yield and Yield Components under Organic Vis-a-vis Chemical Input Conditions

Authors

  • Neelam Bhardwaj Department of Genetics & Plant Breeding Chaudhary Sarwan Kumar Himachal Pradesh Krishi VishvavidyalayaPalampur-176062
  • Kajal Bhardwaj Department of Genetics & Plant Breeding Chaudhary Sarwan Kumar Himachal Pradesh Krishi VishvavidyalayaPalampur-176062
  • Deepika Sud Department of Plant Pathology,Chaudhary Sarwan Kumar Himachal Pradesh Krishi VishvavidyalayaPalampur-176062
  • Shivani Bhatia Department of Genetics & Plant Breeding Chaudhary Sarwan Kumar Himachal Pradesh Krishi VishvavidyalayaPalampur-176062
  • Vivek Singh Department of Vegetable Science & Floriculture Chaudhary Sarwan Kumar Himachal Pradesh Krishi VishvavidyalayaPalampur-176062

Keywords:

Organic Agriculture, genetic analysis, chemical input system, correlations.

Abstract

The present study was undertaken during Kharif 2020 under conventional inorganic (E1) and low input organic  (E2 ) conditions at RWRC, Malan with an objective to evaluate 40 diverse rice germplasm lines in RBD with 2 three replications for grain yield and other agro-morphological traits for genetic variation studies and to identify reliable selection criteria for low input conditions. The mean and range for all the traits except days to flowering and days to maturity were found to be lower under low input organic system as compared to high input chemical system. The overall mean of the genotypes for grain yield was 9.58 g/plant in organic input system as against the mean value of 12.98 g/plant in chemical input system. The top performing genotypes in organic input system were HPR 2795, Desidhan, Jattu, Chohartu, Deval and Sukara Red while in chemical input system top yielders were HPR 2795, HPR 2911, IC 191886, Varun Dhan, Bhrigu Dhan, HPR 2720 and Sukara. Based upon the correlation and path studies days to flowering, days to maturity, total tillers per plant and effective tillers per plant were considered as target traits to improve rice grain yield under organic input condition, while plant height, total tillers per plant and 1000-seed weight were found important traits for selection under chemical input conditions. The traits exhibiting positive association with yield under chemical input conditions were found to be non-significant under organic conditions and this change in correlation patterns under the two different conditions was due to the influence of genetic interactions. Hence, the present study showed that exposure to organic inputs conditions may induce positive or negative correlation among traits due to the expression of new gene advocating thereby that a separate breeding program is required for breeding varieties for organic agriculture.

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Published

2024-06-30

How to Cite

Bhardwaj, N., Bhardwaj, K., Sud, D., Bhatia, S., & Singh, V. (2024). Genetic Analysis of Variation in Rice (<i>Oryza Sativa</i> L.) For Yield and Yield Components under Organic <i>Vis-a-vis</i> Chemical Input Conditions. Himachal Journal of Agricultural Research, 50(1), 38–44. Retrieved from https://hjar.org/index.php/hjar/article/view/172543

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Full Length Papers

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