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Using genotype × nitrogen interaction variables to evaluate the QTL involved in wheat tolerance to nitrogen constraints

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Abstract

Lower market prices and environmental concerns now orientate wheat (Triticum aestivum L.) breeding programs towards low input agricultural practices, and more particularly low nitrogen (N) input management. Such programs require knowledge of the genetic determination of plant reaction to N deficiency. Our aim was to characterize the genetic basis of N use efficiency and genotype × N interactions. The detection of QTL for grain yield, grain protein yield and their components was performed on a mapping population of 222 doubled haploid lines (DH), obtained from the cross between an N stress tolerant variety and an N stress sensitive variety. Experiments on the population were carried out in seven different environments, and in each case under high (N+) and low (N−) N supplies. In total, 233 QTL were detected for traits measured in each combination of environment and N supply, for “global” interaction variables (N+–N− and N−/N+), for sensitivity to N stress and for performance under N-limited conditions which were assessed using factorial regression parameters. The 233 QTL were detected on the whole genome and clustered into 82 genome regions. The dwarfing gene (Rht-B1), the photoperiod sensitivity gene (Ppd-D1) and the awns inhibitor gene (B1) coincided with regions that contained the highest numbers of QTL. Non-interactive QTL were detected on linkage groups 3D, 4B, 5A1 and 7B2. Interactive QTL were revealed by interaction or factorial regression variables (2D2, 3D, 5A1, 5D, 6A, 6B, 7B2) or by both variables (1B, 2A1, 2A2, 2D1, 4B, 5A2, 5B). The usefulness of QTL meta-analysis and factorial regression to study QTL × N interactions and the impact of Rht-B1, Ppd-D1 and B1, are discussed.

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Acknowledgments

This work received support from the Picardie Region, Arvalis-Institut du Végétal and the Génoplante French Genomics project. We would like to thank P. Pluchard, C. Quandalle and Dr. P. Brabant for development of the population, and G. Charmet, P. Dufour, and F. Dedryver for the molecular map. We also thank J.B. Beaufumé and the staff at the Chartainvilliers experimental farm (Nickerson), the staff at Le Moulon experimental farm (INRA) and P. Bérard and the staff at the Clermont-Ferrand experimental farm (INRA). The authors also wish to thank N. Galic, D. Bouthors, D. Brasseur and J.-P. Noclercq for their helpful technical assistance. We also want to thank the reviewers for their helpful comments and propositions on the manuscript.

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Authors and Affiliations

  1. 1281 SADV (Stress abiotiques et différenciation des végétaux cultivés), Chaussée de Brunehaut, UMR INRA/USTL, Estrées-Mons, BP50136, 80203, Péronne Cedex, France

    Anne Laperche, Maryse Brancourt-Hulmel, Emmanuel Heumez, Eric Hanocq & Jacques Le Gouis

  2. Expérimentation et finition des variétés, INRA, Ferme du Moulon, 91190, Gif-sur-Yvette, France

    Olivier Gardet

  3. Unité Environnement et Grandes Cultures, UMR INRA-INA PG, BP01, 78850, Thiverval-Grignon, France

    Anne Laperche & Florence Devienne-Barret

  4. Domaine de la Motte, UMR INRA/Agrocampus Rennes 118 APBV, BP35327, 35 653, Le Rheu Cedex, France

    Anne Laperche

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  1. Anne Laperche
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  2. Maryse Brancourt-Hulmel
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  3. Emmanuel Heumez
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  4. Olivier Gardet
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  5. Eric Hanocq
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  6. Florence Devienne-Barret
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  7. Jacques Le Gouis
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Correspondence to Anne Laperche.

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Communicated by I. Romagosa.

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Laperche, A., Brancourt-Hulmel, M., Heumez, E. et al. Using genotype × nitrogen interaction variables to evaluate the QTL involved in wheat tolerance to nitrogen constraints. Theor Appl Genet 115, 399–415 (2007). https://doi.org/10.1007/s00122-007-0575-4

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