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Genetic Basis for Variation in Wheat Grain Yield in Response to Varying Nitrogen Application

Author

Listed:
  • Saba Mahjourimajd
  • Julian Taylor
  • Beata Sznajder
  • Andy Timmins
  • Fahimeh Shahinnia
  • Zed Rengel
  • Hossein Khabaz-Saberi
  • Haydn Kuchel
  • Mamoru Okamoto
  • Peter Langridge

Abstract

Nitrogen (N) is a major nutrient needed to attain optimal grain yield (GY) in all environments. Nitrogen fertilisers represent a significant production cost, in both monetary and environmental terms. Developing genotypes capable of taking up N early during development while limiting biomass production after establishment and showing high N-use efficiency (NUE) would be economically beneficial. Genetic variation in NUE has been shown previously. Here we describe the genetic characterisation of NUE and identify genetic loci underlying N response under different N fertiliser regimes in a bread wheat population of doubled-haploid lines derived from a cross between two Australian genotypes (RAC875 × Kukri) bred for a similar production environment. NUE field trials were carried out at four sites in South Australia and two in Western Australia across three seasons. There was genotype-by-environment-by-treatment interaction across the sites and also good transgressive segregation for yield under different N supply in the population. We detected some significant Quantitative Trait Loci (QTL) associated with NUE and N response at different rates of N application across the sites and years. It was also possible to identify lines showing positive N response based on the rankings of their Best Linear Unbiased Predictions (BLUPs) within a trial. Dissecting the complexity of the N effect on yield through QTL analysis is a key step towards elucidating the molecular and physiological basis of NUE in wheat.

Suggested Citation

  • Saba Mahjourimajd & Julian Taylor & Beata Sznajder & Andy Timmins & Fahimeh Shahinnia & Zed Rengel & Hossein Khabaz-Saberi & Haydn Kuchel & Mamoru Okamoto & Peter Langridge, 2016. "Genetic Basis for Variation in Wheat Grain Yield in Response to Varying Nitrogen Application," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-18, July.
    • Handle: RePEc:plo:pone00:0159374
    DOI: 10.1371/journal.pone.0159374
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    References listed on IDEAS

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    2. Alison Smith & Brian Cullis & Robin Thompson, 2001. "Analyzing Variety by Environment Data Using Multiplicative Mixed Models and Adjustments for Spatial Field Trend," Biometrics, The International Biometric Society, vol. 57(4), pages 1138-1147, December.
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