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A multi-environmental study of recent breeding progress on nitrogen use efficiency in wheat (Triticum aestivum L.)

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By comparing 195 varieties in eight trials, this study assesses nitrogen use efficiency improvement in high and low nitrogen conditions in European winter wheat over the last 25 years.

Abstract

In a context where European agriculture practices have to deal with environmental concerns and nitrogen (N) fertiliser cost, nitrogen use efficiency (NUE) has to be improved. This study assessed genetic progress in winter wheat (Triticum aestivum L.) NUE. Two hundred and twenty-five European elite varieties were tested in four environments under two levels of N. Global genetic progress was assessed on additive genetic values and on genotype × N interaction, covering 25 years of European breeding. To avoid sampling bias, quality, precocity and plant height were added as covariates in the analyses when needed. Genotype × environment interactions were highly significant for all the traits studied to such an extent that no additive genetic effect was detected on N uptake. Genotype × N interactions were significant for yield, grain protein content (GPC), N concentration in straw, N utilisation, and NUE. Grain yield improvement (+0.45 % year−1) was independent of the N treatment. GPC was stable, thus grain nitrogen yield was improved (+0.39 % year−1). Genetic progress on N harvest index (+0.12 % year−1) and on N concentration in straw (−0.52 % year−1) possibly revealed improvement in N remobilisation. There has been an improvement of NUE additive genetic value (+0.33 % year−1) linked to better N utilisation (+0.20 % year−1). Improved yield stability was detected as a significant improvement of NUE in low compared to high N conditions. The application of these results to breeding programs is discussed.

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Abbreviations

ADM_S:

Straw dry matter at maturity

BLUE:

Best linear unbiased estimator

BLUP:

Best linear unbiased predictor

E:

Environment

FLO:

Flowering date

G:

Genotype

GNY:

Grain nitrogen yield

GPC:

Grain protein content

GPD:

Grain protein deviation

GY:

Grain dry matter yield

HI:

Harvest index

HN:

High nitrogen input

KS:

Kernel per spike

LN:

Low nitrogen input

LRT:

Likelihood ratio test

LSD:

Fisher’s least significant difference test

N:

Nitrogen

%N_S:

Straw nitrogen content at maturity

NHI:

Nitrogen harvest index

NSA:

Straw nitrogen per area

NTA:

Total nitrogen in plant at maturity

NUE:

Nitrogen use efficiency

NUE_Prot:

Nitrogen use to protein efficiency

NupE:

Nitrogen uptake

NutE:

Nitrogen utilisation efficiency

NutE_Prot:

Nitrogen utilisation to protein efficiency

P:

P value

PH:

Plant height

SA:

Spike per area

TKW:

Thousand kernel weight

YR:

Year of release

References

  • Anbessa Y, Juskiw P, Good A, Nyachiro J, Helm J (2010) Selection efficiency across environments in improvement of barley yield for moderately low nitrogen environments. Crop Sci 50:451–457

    Article  CAS  Google Scholar 

  • Allard V, Martre P, Le Gouis J (2013) Genetic variability in biomass allocation to roots in wheat is mainly related to crop tillering dynamics and nitrogen status. Eur J Agron 46:68–73

    Article  CAS  Google Scholar 

  • Atlin GN, Frey KJ (1989) Predicting the relative effectiveness of direct versus indirect selection for oat yield in three types of stress environments. Euphytica 44:137–142

    Article  Google Scholar 

  • Austin RB (1999) Yield of wheat in the United Kingdom: recent advances and prospects. Crop Sci 39:1604–1610

    Article  Google Scholar 

  • Bänziger M, Etran FJB, Afitte HRL (1997) Efficiency of high-nitrogen selection environments for improving maize for low-nitrogen target environments. Crop Sci 37:1103–1109

    Article  Google Scholar 

  • Barraclough PB, Howarth JR, Jones J, Lopez-Bellido R, Parmar S, Shepherd CE, Hawkesford MJ (2010) Nitrogen efficiency of wheat: genotypic and environmental variation and prospects for improvement. Eur J Agron 33:1–11

    Article  CAS  Google Scholar 

  • Bingham I, Karley A, White P, Thomas W, Russell J (2012) Analysis of improvements in nitrogen use efficiency associated with 75 years of spring barley breeding. Eur J Agron 42:49–58

    Article  Google Scholar 

  • Brancourt-Hulmel M, Doussinaut G, Lecomte C, Berard P, LeBuanec B, Trottet M (2003) Genetics improvement of agronomic traits of winter wheat cultivars released in France from 1946 to 1992. Crop Sci 43:37–45

    Article  Google Scholar 

  • Bogard M, Allard V, Brancourt-Hulmel M, Heumez E, Machet JM, Jeuffroy MH, Gate P, Martre P, Le Gouis J (2010) Deviation from the grain protein concentration-grain yield negative relationship is highly correlated to post-anthesis N uptake in winter wheat. J Exp Bot 61:4303–4312

    Article  PubMed  CAS  Google Scholar 

  • Bordes J, Ravel C, Jaubertie JP, Duperrier B, Gardet O, Heumez E, Pissavy AL, Charmet G, Le Gouis J, Balfourrier F (2012) Genomic regions associated with the nitrogen limitation response revealed in a global wheat core collection. Theor Appl Genet 126:805–822

    Article  PubMed  Google Scholar 

  • Brancourt-Hulmel M, Heumez E, Pluchard P, Beghin D, Depatureaux C, Giraud A, Le Gouis J (2005) Indirect versus direct selection of winter wheat for low input or high input levels. Crop Sci 45:1427–1431

    Article  Google Scholar 

  • Brisson N, Gate P, Gouache D, Charmet G, Oury F-X, Huard F (2010) Why are wheat yields stagnating in Europe? A comprehensive data analysis for France. Field Crops Res 119:201–212

    Article  Google Scholar 

  • Bruinsma J (2009) The resource outlook to 2050. By how much do land, water use and crop yields need to increase by 2050? FAO, Expert Meeting on How to Feed the World in 2050, Rome, Italy

  • Bushuk W (1998) Wheat breeding for end-product use. Euphytica 100:137–145

    Article  Google Scholar 

  • Butler DG, Cullis BR, Gilmour AR, Gogel BJ (2009) ASReml-R reference manual. Queensland Department of Primary Industries. http://www.vsni.co.uk/downloads/asreml/release2/doc/asreml-R.pdf

  • Ceccarelli S, Grando S, Hamblin J (1992) Relationship between barley grain yield measured in low- and high-yielding environments. Euphytica 64:49–58

    Google Scholar 

  • Cullis BR, Smith AB, Coombes NE (2006) On the design of early generation variety trials with correlated data. J Agric Biol Environ Stat 11:381–393

    Article  Google Scholar 

  • Erisman JW, Galloway JA, Sutton MS, Klimont Z, Winiwater W (2008) How a century of ammonia synthesis changed the world. Nat Geosci 1:636–639

    Article  CAS  Google Scholar 

  • Falconer D, Mackay T (1996) Introduction to quantitative genetics, 4th edn. Longman Scientific & Technical, New York

    Google Scholar 

  • Fischer R, Edmeades G (2010) Breeding and cereal yield progress. Crop Sci 50:85–98

    Article  Google Scholar 

  • Foulkes M, Hawkesford M, Barraclough P, Holdsworth M, Kerr S, Kightley S, Shewry P (2009) Identifying traits to improve the nitrogen economy of wheat: recent advances and future prospects. Field Crops Res 114:329–342

    Article  Google Scholar 

  • Gaju O, Allard V, Martre P, Snape JW, Heumez E, Le Gouis J, Moreau D, Bogard M, Griffiths S, Orford S, Hubbart S, Foulkes MJ (2011) Identification of traits to improve the nitrogen-use efficiency of wheat genotypes. Field Crops Res 123:139–152

    Article  Google Scholar 

  • Gooding MJ, Addisu M, Uppal RK, Snape JW, Jones HE (2012) Effect of wheat dwarfing genes on nitrogen-use efficiency. J Agric Sci 150:3–22

    Article  CAS  Google Scholar 

  • Goulding KWT (2004) Minimising losses of nitrogen from UK agriculture. J R Agric Soc Engl 165:1–11

    Google Scholar 

  • Graybosch R, Peterson C (2012) Specific adaptation and genetic progress for grain yield in Great Plains hard winter wheats from 1987 to 2010. Crop Sci 52:631–643

    Article  Google Scholar 

  • Green A, Berger G, Griffey C, Pitman R, Thomason W, Balota M, Ahmed A (2012) Genetic yield improvement in soft red winter wheat in the eastern United States from 1919 to 2009. Crop Sci 52:2097–2108

    Article  Google Scholar 

  • Guarda G, Padovan S, Delogu G (2004) Grain yield, nitrogen-use efficiency and baking quality of old and modern Italian bread-wheat cultivars grown at different nitrogen levels. Eur J Agron 21:181–192

    Article  CAS  Google Scholar 

  • Guo Y, Kong FM, Xu YF, Zhao Y, Liang X, Wang YY, An DG, Li SS (2012) QTL mapping for seedling traits in wheat under varying concentrations of N, P and K nutrients. Theor Appl Genet 124:851–865

    Article  PubMed  CAS  Google Scholar 

  • Hedden P (2003) The genes of the green revolution. Trends Genet 19:5–9

    Article  PubMed  CAS  Google Scholar 

  • Hirel B, Le Gouis J, Ney B, Gallais A (2007) The challenge of improving nitrogen use efficiency in crop plants: toward a more central role for genetic variability and quantitative genetics within integrated approaches. J Exp Bot 58:2369–2387

    Article  PubMed  CAS  Google Scholar 

  • Kant S, Bi YM, Rothstein S (2011) Understanding plant response to nitrogen limitation for the improvement of crop nitrogen use efficiency. J Exp Bot 62:1499–1509

    Article  PubMed  CAS  Google Scholar 

  • Kendall MG, Stuart A (1979) The advanced theory of statistics, 4th edn. Griffin, London

    Google Scholar 

  • Kibite S, Evans LE (1984) Cause of negative correlations between grain yield and grain protein concentration in common wheat. Euphytica 33:801–810

    Article  Google Scholar 

  • Kichey T, Hirel B, Dubois F, Le Gouis J (2007) In winter wheat (Triticum aestivum L.), post-anthesis nitrogen uptake and remobilisation to the grain correlates with agronomic traits and nitrogen physiological markers. Field Crops Res 102:22–32

    Article  Google Scholar 

  • Laperche A, Brancourt-Hulmel M, Heumez E, Gardet O, Le Gouis J (2006a) Estimation of genetic parameters of a DH wheat population grown at different N stress levels characterized by probe genotypes. Theor Appl Genet 112:797–807

    Article  PubMed  CAS  Google Scholar 

  • Laperche A, Devienne-Barret F, Maury O, Le Gouis J, Ney B (2006b) A simplified conceptual model of carbon/nitrogen functioning for QTL analysis of wheat adaptation to nitrogen deficiency. Theor Appl Genet 113:1131–1146

    Article  PubMed  CAS  Google Scholar 

  • Le Gouis J, Beghin B, Heumez E, Pluchard P (2000) Genetic differences for nitrogen uptake and nitrogen utilisation efficiencies in winter wheat. Eur J Agron 12:163–173

    Article  Google Scholar 

  • Liu X, Li R, Chang X, Jing R (2013) Mapping QTLs for seedling root traits in a doubled haploid wheat population under different water regimes. Euphytica 189:51–66

    Article  Google Scholar 

  • Lopez-Bellido L, Lopez-Bellido R, Lopez-Bellido F (2006) Fertilizer nitrogen efficiency in durum wheat under rainfed Mediterranean conditions: effect of split application. Agron J 98:55–62

    Article  CAS  Google Scholar 

  • Lopez MS, Reynolds MP, Manes Y, Singh RP, Crossa J, Braun HJ (2012) Genetic yield gains and changes in associated traits of CIMMYT spring bread wheat in a “historic” set representing 30 years of breeding. Crop Sci 52:1123–1131

    Article  Google Scholar 

  • Manske GGB, Ortiz-Monasterio IJ, Vlek PLG (2001) Techniques for measuring genetic diversity in roots. In: Reynolds MP, Ortiz-Monasterio I.J, McNab A (eds) Application of physiology in wheat breeding. CIMMYT, Mexico, D.F, pp 208–218

  • Moll RH, Kamprath EJ, Jackson WA (1982) Analysis and interpretation of factors which contribute to efficiency of nitrogen utilization. Agron J 74:562–564

    Article  Google Scholar 

  • Monaghan JM, Snape JW, Chojecki AJS, Kettlewell PS (2001) The use of grain protein deviation for identifying wheat cultivars with high protein concentration and yield. Euphytica 122:309–317

    Article  CAS  Google Scholar 

  • Muurinen S, Slafer GA, Peltonen Sainio P (2006) Breeding effects on nitrogen use efficiency of spring cereals under northern conditions. Crop Sci 46:561–568

    Article  CAS  Google Scholar 

  • Olesen JE, Jørgensen LN, Petersen J, Mortensen JV (2003) Effects of rate and timing of nitrogen fertilizer on disease control by fungicides in winter wheat. 2. Crop growth and disease development. J Ag Sci 140:15–29

    Article  CAS  Google Scholar 

  • Oury FX, Bérard P, Brancourt-Hulmel M, Depatureaux C, Doussinault G, Galic N, Giraud A, Heumez E, Lecomte C, Pluchard P, Rolland B, Rousset M, Trottet M (2003) Yield and grain protein concentration in bread wheat: a review and a study of multi-annual data from a French breeding program. J Genet Breed 57:59–68

    Google Scholar 

  • Oury FX, Godin C (2007) Yield and grain protein concentration in bread wheat: how to use the negative relationship between the two characters to identify favourable genotypes? Euphytica 157:45–57

    Article  CAS  Google Scholar 

  • Oury FX, Godin C, Mailliard A, Chassin A, Gardet O, Giraud A, Heumez E, Morlais JY, Rolland B, Rousset M, Trottet M, Charmet G (2012) A study of genetic progress due to selection reveals a negative effect of climate change on bread wheat yield in France. Eur J Agron 40:28–38

    Article  Google Scholar 

  • Ortiz-Monasterio I, Sayre KD, Rajaram S, McMahon M (1997a) Genetic progress in wheat yield and nitrogen use efficiency under four N rates. Crop Sci 37:898–904

    Article  Google Scholar 

  • Ortiz-Monasterio I, Pena RJ, Sayre KD, Rajaram S (1997b) CIMMYT’s genetic progress in wheat grain quality under four N rates. Crop Sci 37:892–898

    Article  Google Scholar 

  • Pathak RR, Lochab S, Raghuram N (2011) Plant systems | improving plant nitrogen-use efficiency. In: Murray M-Y (ed) Comprehensive biotechnology, 2nd edn. Elsevier, Amsterdam, pp 209–218

  • Peng J, DE Richards, Hartley NM, Murphy GP, Devos KM, Flintham JE, Beales J, Fish LJ, Worland AJ, Pelica F, Sudhakar D, Christou P, Snape JW, Gale MD, Harberd NP (1999) ‘Green revolution’ genes encode mutant gibberellin response modulators. Nature 400:256–261

    Article  PubMed  CAS  Google Scholar 

  • Presterl T, Seitz G, Landbeck M, Thiemt W, Schmidt W, Geiger HH (2003) Improving nitrogen use efficiency in European maize: estimation of quantitative parameters. Crop Sci 43:1259–1265

    Article  Google Scholar 

  • Rothstein S (2007) Returning to our roots: making plant biology research relevant to future challenges in agriculture. Plant Cell 19:2695–2699

    Article  PubMed  CAS  Google Scholar 

  • Shewry PR, Halford NG (2002) Cereal seed storage proteins: structures, properties and role in grain utilization. J Exp Bot 53:947–958

    Article  PubMed  CAS  Google Scholar 

  • Shewry PR (2004) Improving the protein content and quality of temperate cereals: wheat, barley and rye. In Cakmak I, Welch R (eds) Impacts of agriculture on human health and nutrition. USDA, ARS, U.S. Plant, Soil and Nutrition Laboratory, Cornell University, USA

  • Simmonds NW (1995) The relation between yield and protein in cereal grain. J Sci Food Agric 67:309–315

    Article  CAS  Google Scholar 

  • Sinebo W, Gretzmacher R, Edelbauer A (2002) Environment of selection for grain yield in low fertilizer input barley. Field Crops Res 74:151–162

    Article  Google Scholar 

  • Sylvester-Bradley R, Kindred DR (2009) Analysing nitrogen responses of cereals to prioritize routes to the improvement of nitrogen use efficiency. J Exp Bot 60:1939–1951

    Article  PubMed  CAS  Google Scholar 

  • Tester M, Langridge P (2010) Breeding technologies to increase crop production in a changing world. Sci 327:818–822

    Article  CAS  Google Scholar 

  • Uzik M, Zofajova A (2012) Progress in accumulation and translocation of nitrogen in winter wheat cultivars released in the years 1921–2003. Cereal Res Commun 40:135–146

    Article  CAS  Google Scholar 

  • Van Sanford DA, MacKown CT (1987) Cultivar divergences in nitrogen remobilization during grain filling in soft red winter wheat. Crop Sci 27:295–300

    Article  Google Scholar 

  • Wojciechowski T, Gooding M, Ramsay L, Gregory PJ (2009) The effects of dwarfing alleles on seedling root growth of wheat. J Exp Bot 60:2565–2573

    Article  PubMed  CAS  Google Scholar 

  • Worland AJ (1996) The influence of flowering time gene on environmental adaptability in European wheats. Euphytica 89:49–57

    Article  Google Scholar 

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Acknowledgments

Data were obtained thanks to the support of the ANR ProtNBle project (06 GPLA016). The authors would like to thank the staff at Estrées-Mons experimental unit (INRA) and at Villiers-le-Bâcle and Vraux experimental farms (Arvalis) that have phenotyped so many traits. The authors are also grateful to the ANRT (Association Nationale de la Recherche et de la Technologie) which support the PhD thesis (129/2012) during which the analyses were made. Sincere thanks to Ian Mackay for his editorial advice.

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical standards

The authors declare that the experiments comply with the current laws of the country in which they were performed.

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Correspondence to Sébastien Praud.

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Communicated by A. E. Melchinger.

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Cormier, F., Faure, S., Dubreuil, P. et al. A multi-environmental study of recent breeding progress on nitrogen use efficiency in wheat (Triticum aestivum L.). Theor Appl Genet 126, 3035–3048 (2013). https://doi.org/10.1007/s00122-013-2191-9

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