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QTL identification for molecular breeding of fibre yield and fibre quality traits in jute

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Abstract

In jute (Corchorus olitorius), quantitative trait loci (QTL) analysis was conducted to study the genetics of eight fibre yield traits and two fibre quality traits. For this purpose, we used a mapping population consisting of 120 recombinant inbred lines (RILs) and also used a linkage map consisting of 36 SSR markers that was developed by us earlier (Das et al. 2011). The RIL population was derived from the cross JRO 524 (coarse fibre) × PPO4 (fine fibre) following single seed descent. Using single-locus analysis involving composite interval mapping, a total of 21 QTLs were identified for eight fibre yield traits whereas for fibre quality (fibre fineness), only one QTL was detected. The QTL for fibre fineness explained 8.31–10.56% of the phenotypic variation and was detected in two out of three environments. Using two-locus analysis involving QTLNetwork, as many as 11 M-QTLs were identified for seven fibre yield traits (excluding top diameter) and one M-QTL was identified for fibre fineness which accounted for 4.57% of the phenotypic variation. For six fibre yield traits, we detected 16 E-QTLs involved in nine QQ epistatic interactions. For fibre fineness, four E-QTLs involved in two QQ epistatic interactions and for fibre strength, six E-QTLs involved in three QQ epistatic interactions were identified. Eight out of the 11 M-QTLs observed for the fibre yield traits were also involved in QE interactions; for fibre fineness and fibre strength, no QE interactions were observed.

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Acknowledgments

The financial support from the Department of Biotechnology (DBT), Ministry of Science and Technology, Government of India is gratefully acknowledged.

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Authors and Affiliations

  1. Molecular Biology Laboratory, Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004, Uttar Pradesh, India

    Moumita Das, Sumana Banerjee, Harindra S. Balyan & Pushpendra K. Gupta

  2. Biotechnology Unit, Division of Crop Improvement, Central Research Institute for Jute and Allied Fibres (ICAR), Barrackpore, 743101, West Bengal, India

    Niladri Topdar, Avijit Kundu, Debabrata Sarkar & Mohit K. Sinha

  3. The Centre of Excellence in Genomics (CEG), International Crops Research, Institute for the Semi-Arid Tropics (ICRISAT), Building # 300, Patancheru, Greater Hyderabad, 502324, India

    Reyazul Rouf Mir

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  1. Moumita Das
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Correspondence to Pushpendra K. Gupta.

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Das, M., Banerjee, S., Topdar, N. et al. QTL identification for molecular breeding of fibre yield and fibre quality traits in jute. Euphytica 187, 175–189 (2012). https://doi.org/10.1007/s10681-011-0603-y

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