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Quantitative trait loci analysis for net ginning energy requirements in upland cotton (Gossypium hirsutum L.)

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Abstract

Cotton cultivars with reduced fiber-seed attachment force have the potential to be ginned faster with less energy. The objective of this study was to identify quantitative trait loci (QTL) for net ginning energy requirement (NGE), and its relationship with other fiber quality traits in upland cotton. Two cotton lines, TAM 182-34 ELS and AR 9317-26, with significant differences in NGE and fiber-seed attachment force, were crossed and 285 F2 plants derived from a single F1 plant were planted in the field and leaf samples collected for DNA marker analysis (Population A). Individual F3 plants and the two parents were planted in replicated progeny rows. The cotton was ginned on a 10-saw laboratory gin stand. Electrical power used by the gin was measured and recorded with a Yokogawa CW121 power meter. Fiber quality attributes were measured using a high volume instrument. A total of 455 SSR marker loci were used to construct a linkage map. Two QTLs were identified for NGE on chromosomes 12 and 20, associated with markers CIR148 and DPL0600, explaining 14 and 8.8% of the phenotypic variation, respectively. NGE shared the same genomic region with fuzz percent on chromosome 12. Population B, consisting of 260 F2 progeny from the reciprocal cross AR 9317-26 X TAM 182-34 ELS, was used to confirm these QTLs by analyzing SSR markers mapped on Chrs 12 and 20. These QTLs (qNGE-c12 and qNGE-c20) were confirmed and appeared stable. Further validation of significantly associated markers on different populations is necessary prior to implementation in marker-assisted selection.

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Abbreviations

EL:

Elongation

FL:

Fiber length

FS:

Fiber strength

FZP:

Fuzz percent

GR:

Ginning rate

HVI:

High volume instrument

MIC:

Micronaire

MAS:

Marker assisted selection

NGE:

Net ginning energy

QTL:

Quantitative trait loci

TO:

Turnout

UN:

Uniformity

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Acknowledgements

This research is part of the National Program 301 (Plant Genetic Resources, Genomics and Genetic Improvement) and is funded through ARS Project Number 6066-21000-051-00D. Our appreciation goes to Mrs. Sheron Simpson and Dr. Brian Scheffler at the Genomics and Bioinformatics Research Unit at Stoneville, MS for their support in SSR marker analysis. Mention of trade names or commercial products in this article is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S Department of Agriculture, which is an equal opportunity provider and employer.

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Authors and Affiliations

  1. USDA-ARS Crop Genetics Research Unit, Stoneville, MS, 38776, USA

    Efrem Bechere & Jodi Scheffler

  2. USDA-ARS Cotton Fiber Bioscience Unit, New Orleans, LA, 70124, USA

    David D. Fang, Md. S. Islam & Ping Li

  3. Crop Genetics Research Unit, Stoneville, MS, 38776, USA

    Hirut Kebede

  4. USDA-ARS Cotton Ginning Research Unit, Stoneville, MS, 38776, USA

    Robert G. Hardin IV

Authors
  1. Efrem Bechere
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  2. David D. Fang
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  3. Hirut Kebede
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  4. Robert G. Hardin IV
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  5. Md. S. Islam
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  6. Ping Li
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  7. Jodi Scheffler
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Contributions

EB conceived the experiment, developed the mapping population, grew the F2 and F3 populations, collected and analyzed the phenotypic data and co-wrote the manuscript. DDF scored all PCR plates, supervised the research work at New Orleans. HK conducted the linkage map construction and QTL analysis and wrote the manuscript. BH measured the ginning energy. MI conducted the original marker screening using the two parents. PL isolated DNA and ran all PCR. JS helped in the design of the test and provided critical review of the manuscript.

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Correspondence to Efrem Bechere.

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Bechere, E., Fang, D.D., Kebede, H. et al. Quantitative trait loci analysis for net ginning energy requirements in upland cotton (Gossypium hirsutum L.). Euphytica 213, 160 (2017). https://doi.org/10.1007/s10681-017-1951-z

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  • DOI: https://doi.org/10.1007/s10681-017-1951-z

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