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Open Access Research

Drought yield index to select high yielding rice lines under different drought stress severities

Anitha Raman1, Satish B Verulkar2, Nimai P Mandal3, Mukund Variar3, VD Shukla3, JL Dwivedi4, BN Singh5, ON Singh6, Padmini Swain6, Ashutosh K Mall1, S Robin7, R Chandrababu7, Abhinav Jain8, Tilatoo Ram9, Shailaja Hittalmani10, Stephan Haefele1, Hans-Peter Piepho11 and Arvind Kumar1*

Author Affiliations

1 International Rice Research Institute (IRRI), DAPO Box 7777, Metro Manila, Philippines

2 Indira Gandhi Krishi Vishwavidyalaya (IGKV), Raipur, India

3 Central Rainfed Upland Rice Research Station (CRURRS), Hazaribag, India

4 Narendra Dev University of Agriculture and Technology (NDUAT), Faizabad, India

5 Birsa Agricultural University (BAU), Ranchi, India

6 Central Rice Research Institute (CRRI), Cuttack, India

7 Tamil Nadu Agricultural University (TNAU), Coimbatore, India

8 Barwale Foundation (BF), Hyderabad, India

9 Directorate of Rice Research, Hyderabad, India

10 University of Agricultural Sciences, Bangalore, India

11 Universitaet Hohenheim, Bioinformatics Unit, 70593, Stuttgart, Germany

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Rice 2012, 5:31  doi:10.1186/1939-8433-5-31

Published: 4 October 2012

Abstract

Background

Drought is the most severe abiotic stress reducing rice yield in rainfed drought prone ecosystems. Variation in intensity and severity of drought from season to season and place to place requires cultivation of rice varieties with different level of drought tolerance in different areas. Multi environment evaluation of breeding lines helps breeder to identify appropriate genotypes for areas prone to similar level of drought stress. From a set of 129 advanced rice (Oryza sativa L.) breeding lines evaluated under rainfed drought-prone situations at three locations in eastern India from 2005 to 2007, a subset of 39 genotypes that were tested for two or more years was selected to develop a drought yield index (DYI) and mean yield index (MYI) based on yield under irrigated, moderate and severe reproductive-stage drought stress to help breeders select appropriate genotypes for different environments.

Results

ARB 8 and IR55419-04 recorded the highest drought yield index (DYI) and are identified as the best drought-tolerant lines. The proposed DYI provides a more effective assessment as it is calculated after accounting for a significant genotype x stress-level interaction across environments. For rainfed areas with variable frequency of drought occurrence, Mean yield index (MYI) along with deviation in performance of genotypes from currently cultivated popular varieties in all situations helps to select genotypes with a superior performance across irrigated, moderate and severe reproductive-stage drought situations. IR74371-70-1-1 and DGI 75 are the two genotypes identified to have shown a superior performance over IR64 and MTU1010 under all situations.

Conclusion

For highly drought-prone areas, a combination of DYI with deviation in performance of genotypes under irrigated situations can enable breeders to select genotypes with no reduction in yield under favorable environments compared with currently cultivated varieties. For rainfed areas with variable frequency of drought stress, use of MYI together with deviation in performance of genotypes under different situations as compared to presently cultivated varieties will help breeders to select genotypes with superior performance under all situations.

Keywords:
Rice; Drought; Genotype x environment interaction; Drought yield index; Mixed model