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Mapping QTL for grain yield and other agronomic traits in post-rainy sorghum [Sorghum bicolor (L.) Moench]

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Abstract

Sorghum, a cereal of economic importance ensures food and fodder security for millions of rural families in the semi-arid tropics. The objective of the present study was to identify and validate quantitative trait loci (QTL) for grain yield and other agronomic traits using replicated phenotypic data sets from three post-rainy dry sorghum crop seasons involving a mapping population with 245 F9 recombinant inbred lines derived from a cross of M35-1 × B35. A genetic linkage map was constructed with 237 markers consisting of 174 genomic, 60 genic and 3 morphological markers. The QTL analysis for 11 traits following composite interval mapping identified 91 QTL with 5–12 QTL for each trait. QTL detected in the population individually explained phenotypic variation between 2.5 and 30.3 % for a given trait and six major genomic regions with QTL effect on multiple traits were identified. Stable QTL across seasons were identified. Of the 60 genic markers mapped, 21 were found at QTL peak or tightly linked with QTL. A gene-based marker XnhsbSFCILP67 (Sb03g028240) on SBI-03, encoding indole-3-acetic acid-amido synthetase GH3.5, was found to be involved in QTL for seven traits. The QTL-linked markers identified for 11 agronomic traits may assist in fine mapping, map-based gene isolation and also for improving post-rainy sorghum through marker-assisted breeding.

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Acknowledgments

The authors gratefully acknowledge the Department of Biotechnology (DBT), Government of India (GOI), for supporting this work under the network projects “Development and applications of Biotechnological tools for millet improvement” under Grant No. BT/PR 6031/AGR/02/307/2005 and the Director, Directorate of Sorghum Research (DSR), Rajendranagar, Hyderabad, for the facilities to undertake the study.The authors also sincerely thank the editor and the anonymous reviewers for their excellent suggestions, which improved the manuscript quality considerably.

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  1. Marker-Assisted Selection Laboratory, Directorate of Sorghum Research (DSR), Rajendranagar, Hyderabad, 500 030, India

    R. Nagaraja Reddy, R. Madhusudhana, S. Murali Mohan, D. V. N. Chakravarthi, N. Seetharama & J. V. Patil

  2. Directorate of Medicinal and Aromatic Plants Research (DMAPR), Anand, 387 310, Gujarat, India

    R. Nagaraja Reddy

  3. Department of Agricultural Botany, College of Agriculture, Marathwada Krishi Vidhyapeeth, Parbhani, 431 402, Maharashtra, India

    S. P. Mehtre

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  1. R. Nagaraja Reddy
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  2. R. Madhusudhana
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  3. S. Murali Mohan
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  4. D. V. N. Chakravarthi
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  5. S. P. Mehtre
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  6. N. Seetharama
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  7. J. V. Patil
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Correspondence to R. Madhusudhana.

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Communicated by A. Charcosset.

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Nagaraja Reddy, R., Madhusudhana, R., Murali Mohan, S. et al. Mapping QTL for grain yield and other agronomic traits in post-rainy sorghum [Sorghum bicolor (L.) Moench]. Theor Appl Genet 126, 1921–1939 (2013). https://doi.org/10.1007/s00122-013-2107-8

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  • DOI: https://doi.org/10.1007/s00122-013-2107-8

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