Genetics of grain yield and its component traits in drought tolerance rice

Author:

Arsode Pandurang B1,Singh Ravi P1,Singh SK1,Kumar Manish1,Namrata 1,Choudhary Madhu1,Jena Debarchana2,Singh Vineeta2,Rout Diptibala2,Sahoo Biswajit2,Nanda Kalpatru2,Singh Prakash3,Mohan Chander4,Verma Ramlakhan2,Bhadana Vijai Pal5

Affiliation:

1. Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India

2. ICAR-National Rice Research Institute, Cuttack, Odisha, India

3. Veer Kunwar Singh College of Agriculture (BAU, Sabaur), Dumraon, Buxar, Bihar, India

4. Department of Agriculture, Cooperation and Farmers Welfare, Government of India, New Delhi, India

5. ICAR-Indian Institute of Agricultural Biotechnology, Ranchi, Jharkhand, India

Abstract

The facts pertaining to the inheritance of basic and value addition traits are prerequisite in designing much suited breeding strategies to harness substantial genetic gain in crop plants. The present study was aimed at comprehensive scrutiny of the quantitative traits, responding drought tolerance in rice through generation mean analysis (GMA). We have evaluated six generations ( P1, P2, F1, F2, B1 and B2) of cross, HUR-917 × DRR Dhan-42. The results revealed that all scales, A, B, C and D were significant for yield and attributing traits under irrigated and drought conditions, reflecting the presence of epistasis. Major yield contributing traits like days to 50% flowering (DFF), days to maturity (DM), plant height (PH), panicle length (PL), flag leaf length (FLL), number of grains per panicle (NGPP) and test weight (TW) showed the presence of duplicate epistasis under both conditions. Whereas, traits like the number of earbearing tillers (NEBT) and grain yield per plant (GYPP) shown duplicate epistasis under drought. The results suggest the prevalence of additive gene effect and non-allelic interactions/epistasis effect on the genetic control of majority of the yield traits. Additive (d) effect and dominant × dominant (l) gene interaction was the only significant portion of gene controlling grain yield per plant in the rice. The positive additive gene effect indicates that HUR-917 contributes more to the trait than DRR Dhan-42 and vice versa.

Publisher

Association of Rice Research Workers

Subject

General Medicine

Reference24 articles.

1. Awasthi S and Lal JP (2014). Estimation of generation mean- five parameter model for the evaluation of drought tolerant lines in Rice (Oryza sativa L.). International J. Scientific Footprints 2(4): 1 -17

2. Cavalli LL (1952). An analysis of linkage in quantitative inheritance. In: Quantitative inheritance (Eds. Reeve, E.C.R. and Waddington, C.H.), HMSO, London, UK pp. 135-141

3. Gnanamalar RP and Vivekanandan P(2013). Genetic architecture of grain quality characters in rice (Oryza sativa L.), Eur. J. Experi. Biol. 3(2):275-279

4. Gobu R, Lal JP and Anandan A (2021). Generation mean analysis for yield and drought tolerant traits under rainfed and irrigated conditions in rice (Oryza sativa L.). International Journal of Environment and Climate Change 1(11): 170-178

5. Gurdev SK (2006). Rice Breeding: Accomplishments and Challenges for future food security, Ritsumeikan International Affairs 4: 25-36

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