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Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Phenotyping approaches to evaluate nitrogen-use efficiency related traits of diverse wheat varieties under field conditions*

Giao N. Nguyen A , Joe Panozzo A , German Spangenberg B C and Surya Kant A D
+ Author Affiliations
- Author Affiliations

A Agriculture Victoria, Grains Innovation Park, 110 Natimuk Road, Horsham, Vic. 3400, Australia.

B Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Bundoora, Vic. 3083, Australia.

C School of Applied Systems Biology, La Trobe University, Bundoora, Vic. 3083, Australia.

D Corresponding author. Email: surya.kant@ecodev.vic.gov.au

Crop and Pasture Science 67(11) 1139-1148 https://doi.org/10.1071/CP16173
Submitted: 8 May 2016  Accepted: 25 September 2016   Published: 4 November 2016

Abstract

Nitrogen (N) is a key mineral element required for crop growth, yield and quality. Nitrogen-use efficiency (NUE) in crop plants is low despite significant research efforts. Excessive use of N fertiliser results in significant economic cost and contributes to environmental pollution. Therefore, it is crucial to develop crop varieties with improved NUE, and this requires efficient phenotyping approaches to screen genotypes under defined N conditions. To address this, 15 wheat (Triticum aestivum L.) varieties, grown under three N levels, were phenotyped for NUE-related traits under field conditions. Significant genotypic differences were observed in varieties having low to high responsiveness to N applications. The results suggest that basal low N can be used to screen wheat varieties that are less responsive to N, whereas N supply from 80 to 160 kg N ha–1 could be used to screen high N-responsive varieties. Normalised difference vegetation index (NDVI) measured by using Crop Circle, and SPAD units measured by SPAD meter at heading stage, were well correlated with shoot dry biomass, grain yield, and shoot and grain N concentration, and could potentially be used as tools to phenotype different wheat varieties under varying N treatments. The data also demonstrated that NDVI and SPAD could be used to differentiate wheat varieties phenotypically for NUE-related traits. The prospect of utilising efficient, non-destructive phenotyping to study NUE in crops is also discussed.

Additional keywords: field phenotyping, phenology, nitrogen fertiliser, protein.


References

Andrade-Sanchez P, Gore MA, Heun JT, Thorp KR, Carmo-Silva AE, French AN, Salvucci ME, White JW (2014) Development and evaluation of a field-based high-throughput phenotyping platform. Functional Plant Biology 41, 68–79.
Development and evaluation of a field-based high-throughput phenotyping platform.Crossref | GoogleScholarGoogle Scholar |

Aparicio N, Villegas D, Casadesus J, Araus JL, Royo C (2000) Spectral vegetation indices as nondestructive tools for determining durum wheat yield. Agronomy Journal 92, 83–91.
Spectral vegetation indices as nondestructive tools for determining durum wheat yield.Crossref | GoogleScholarGoogle Scholar |

Aparicio N, Villegas D, Araus JL, Casadesús J, Royo C (2002) Relationship between growth traits and spectral vegetation indices in durum wheat. Crop Science 42, 1547–1555.
Relationship between growth traits and spectral vegetation indices in durum wheat.Crossref | GoogleScholarGoogle Scholar |

Araus JL, Cairns JE (2014) Field high-throughput phenotyping: the new crop breeding frontier. Trends in Plant Science 19, 52–61.
Field high-throughput phenotyping: the new crop breeding frontier.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhs1CrtbjL&md5=e659e1210f0b21fc3f8d057c1279b0dbCAS |

Babar MA, Reynolds MP, van Ginkel M, Klatt AR, Raun WR, Stone ML (2006a) Spectral reflectance indices as a potential indirect selection criteria for wheat yield under irrigation. Crop Science 46, 578–588.
Spectral reflectance indices as a potential indirect selection criteria for wheat yield under irrigation.Crossref | GoogleScholarGoogle Scholar |

Babar MA, Reynolds MP, van Ginkel M, Klatt AR, Raun WR, Stone ML (2006b) Spectral reflectance to estimate genetic variation for in-season biomass, leaf chlorophyll, and canopy temperature in wheat. Crop Science 46, 1046–1057.
Spectral reflectance to estimate genetic variation for in-season biomass, leaf chlorophyll, and canopy temperature in wheat.Crossref | GoogleScholarGoogle 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. European Journal of Agronomy 33, 1–11.
Nitrogen efficiency of wheat: genotypic and environmental variation and prospects for improvement.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXlsFSkurw%3D&md5=1067a6ab8194b6ac1cd08857cd1dbc76CAS |

Brink C, van Grinsven H, Jacobsen BH, Rabl A, Gren I-M, Holland M, Zbigniew K, Hicks K, Brouwer R, Dickens R, Willems J, Termansen M, Velthof G, Rob A, van Oorschot M, Webb J (2011) Costs and benefits of nitrogen in the environment. In ‘The European nitrogen assessment’. (Eds MA Sutton, CM Howard, JW Erisman, G Billen, A Bleeker, P Grennfelt, H van Grinsven, B Grizzetti) pp. 513–540. (Cambridge University Press: Cambridge, UK)

Comar A, Burger P, de Solan B, Baret F, Daumard F, Hanocq J-F (2012) A semi-automatic system for high throughput phenotyping wheat cultivars in-field conditions: description and first results. Functional Plant Biology 39, 914–924.
A semi-automatic system for high throughput phenotyping wheat cultivars in-field conditions: description and first results.Crossref | GoogleScholarGoogle Scholar |

Cox MC, Qualset CO, Rains DW (1985) Genetic variation for nitrogen assimilation and translocation in wheat. II. Nitrogen assimilation in relation to grain yield and protein. Crop Science 25, 435–440.
Genetic variation for nitrogen assimilation and translocation in wheat. II. Nitrogen assimilation in relation to grain yield and protein.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaL2MXktVeku7c%3D&md5=6f361025406c9b2321fd005e2d545d5dCAS |

Craswell E, Godwin D (1984) The efficiency of nitrogen fertilizers applied to cereals in different climates. In ‘Advances in plant nutrition’. (Eds PB Tinker, A Lauchli) pp. 1–55. (Praeger: USA)

Dass A, Jat S, Rana KS (2015) Resource conserving techniques for improving nitrogen use efficiency. In ‘Nutrient use efficiency: from basics to advances’. (Eds A Rakshit, HB Singh, A Sen) pp. 45–58. (Springer: India)

Deery D, Jimenez-Berni J, Jones H, Sirault X, Furbank R (2014) Proximal remote sensing buggies and potential applications for field-based phenotyping. Agronomy 4, 349–379.
Proximal remote sensing buggies and potential applications for field-based phenotyping.Crossref | GoogleScholarGoogle Scholar |

Elliott G, Regan K (1993) Use of reflectance measurements to estimate early cereal biomass production on sandplain soils. Australian Journal of Experimental Agriculture 33, 179–183.
Use of reflectance measurements to estimate early cereal biomass production on sandplain soils.Crossref | GoogleScholarGoogle Scholar |

Erdle K, Mistele B, Schmidhalter U (2011) Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars. Field Crops Research 124, 74–84.
Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars.Crossref | GoogleScholarGoogle Scholar |

Erdle K, Mistele B, Schmidhalter U (2013a) Spectral assessments of phenotypic differences in spike development during grain filling affected by varying N supply in wheat. Journal of Plant Nutrition and Soil Science 176, 952–963.
Spectral assessments of phenotypic differences in spike development during grain filling affected by varying N supply in wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhs1yksbvJ&md5=e458da41ba727fb3b37262d7b2486863CAS |

Erdle K, Mistele B, Schmidhalter U (2013b) Spectral high-throughput assessments of phenotypic differences in biomass and nitrogen partitioning during grain filling of wheat under high yielding Western European conditions. Field Crops Research 141, 16–26.
Spectral high-throughput assessments of phenotypic differences in biomass and nitrogen partitioning during grain filling of wheat under high yielding Western European conditions.Crossref | GoogleScholarGoogle Scholar |

Filella I, Serrano L, Serra J, Peñuelas J (1995) Evaluating wheat nitrogen status with canopy reflectance indices and discriminant analysis. Crop Science 35, 1400–1405.
Evaluating wheat nitrogen status with canopy reflectance indices and discriminant analysis.Crossref | GoogleScholarGoogle Scholar |

Follett RH, Follett RF, Halvorson AD (1992) Use of a chlorophyll meter to evaluate the nitrogen status of dryland winter wheat. Communications in Soil Science and Plant Analysis 23, 687–697.
Use of a chlorophyll meter to evaluate the nitrogen status of dryland winter wheat.Crossref | GoogleScholarGoogle Scholar |

Foulkes MJ, Hawkesford MJ, Barraclough PB, Holdsworth MJ, Kerr S, Kightley S, Shewry PR (2009) Identifying traits to improve the nitrogen economy of wheat: Recent advances and future prospects. Field Crops Research 114, 329–342.
Identifying traits to improve the nitrogen economy of wheat: Recent advances and future prospects.Crossref | GoogleScholarGoogle Scholar |

Fukai S (1999) Leaf area index and canopy light climate. In ‘Plants in action: Adaptation in nature, performance in cultivation’. (Eds BJ Atwell, PE Kriedemann, CGN Turnbull) pp. 401–403. (Macmillan Education Australia: Melbourne)

Furbank RT (2009) Plant phenomics: from gene to form and function. Functional Plant Biology 36, v–vi.
Plant phenomics: from gene to form and function.Crossref | GoogleScholarGoogle Scholar |

Furbank RT, Tester M (2011) Phenomics—technologies to relieve the phenotyping bottleneck. Trends in Plant Science 16, 635–644.
Phenomics—technologies to relieve the phenotyping bottleneck.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhsFOhu7%2FJ&md5=66483e7b17dc54bf75ca367069369957CAS |

Gan S, Amasino RM (1997) Making sense of senescence (molecular genetic regulation and manipulation of leaf senescence). Plant Physiology 113, 313–319.

Garnett T, Plett D, Heuer S, Okamoto M (2015) Genetic approaches to enhancing nitrogen-use efficiency (NUE) in cereals: challenges and future directions. Functional Plant Biology 42, 921–941.
Genetic approaches to enhancing nitrogen-use efficiency (NUE) in cereals: challenges and future directions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXhsFejtb%2FE&md5=5958286a415667239a2cbf5f9d3047c1CAS |

Ghanem ME, Marrou H, Sinclair TR (2015) Physiological phenotyping of plants for crop improvement. Trends in Plant Science 20, 139–144.
Physiological phenotyping of plants for crop improvement.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXitVeis7bO&md5=13d31e7670486f145a91ae02ff2bfea7CAS |

Giunta F, Motzo R, Deidda M (2002) SPAD readings and associated leaf traits in durum wheat, barley and triticale cultivars. Euphytica 125, 197–205.
SPAD readings and associated leaf traits in durum wheat, barley and triticale cultivars.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XksFehsr8%3D&md5=4872aaa84da3ec21e11551cde4d28ad5CAS |

Good AG, Beatty PH (2011) Fertilizing nature: a tragedy of excess in the commons. PLoS Biology 9, e1001124
Fertilizing nature: a tragedy of excess in the commons.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhtFKmsLnI&md5=30a5f028f6504f80567fee6708f2b306CAS |

Good AG, Shrawat AK, Muench DG (2004) Can less yield more? Is reducing nutrient input into the environment compatible with maintaining crop production? Trends in Plant Science 9, 597–605.
Can less yield more? Is reducing nutrient input into the environment compatible with maintaining crop production?Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXhtVaksLvM&md5=c574da1051b62d45766c9ad4b5d115a6CAS |

Han M, Okamoto M, Beatty PH, Rothstein SJ, Good AG (2015) The genetics of nitrogen use efficiency in crop plants. Annual Review of Genetics 49, 269–289.
The genetics of nitrogen use efficiency in crop plants.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXhsFyqsL3K&md5=49390dd1fbf620fc9bfb8209ed3b0393CAS |

Heitholt JJ, Croy LI, Maness NO, Nguyen HT (1990) Nitrogen partitioning in genotypes of winter wheat differing in grain N concentration. Field Crops Research 23, 133–144.
Nitrogen partitioning in genotypes of winter wheat differing in grain N concentration.Crossref | GoogleScholarGoogle Scholar |

Hirel B, Le Gouis J, Ney B, Gallais A (2007) The challenge of improving nitrogen use efficiency in crop plants: towards a more central role for genetic variability and quantitative genetics within integrated approaches. Journal of Experimental Botany 58, 2369–2387.
The challenge of improving nitrogen use efficiency in crop plants: towards a more central role for genetic variability and quantitative genetics within integrated approaches.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXos1ykt74%3D&md5=9af3cca7e2f53c15543607b953f8a583CAS |

Hocking PJ, Stapper M (2001) Effects of sowing time and nitrogen fertiliser on canola and wheat, and nitrogen fertiliser on Indian mustard. I. Dry matter production, grain yield, and yield components. Australian Journal of Agricultural Research 52, 623–634.
Effects of sowing time and nitrogen fertiliser on canola and wheat, and nitrogen fertiliser on Indian mustard. I. Dry matter production, grain yield, and yield components.Crossref | GoogleScholarGoogle Scholar |

IFA (2013) IFA Data. International Fertilizer Industry Association, Paris. Available at: http://ifadata.fertilizer.org (accessed December 2015)

Isbell RF (1996) ‘The Australian soil classification.’ (CSIRO Publishing: Melbourne)

Kant S, Bi Y-M, Rothstein SJ (2011) Understanding plant response to nitrogen limitation for the improvement of crop nitrogen use efficiency. Journal of Experimental Botany 62, 1499–1509.
Understanding plant response to nitrogen limitation for the improvement of crop nitrogen use efficiency.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhs1Gjsbs%3D&md5=0ae218bf52650060755c9e885f6137a3CAS |

Kipp S, Mistele B, Baresel P, Schmidhalter U (2014) High-throughput phenotyping early plant vigour of winter wheat. European Journal of Agronomy 52, 271–278.
High-throughput phenotyping early plant vigour of winter wheat.Crossref | GoogleScholarGoogle Scholar |

Le Bail M, Jeuffroy M-H, Bouchard C, Barbottin A (2005) Is it possible to forecast the grain quality and yield of different varieties of winter wheat from Minolta SPAD meter measurements? European Journal of Agronomy 23, 379–391.
Is it possible to forecast the grain quality and yield of different varieties of winter wheat from Minolta SPAD meter measurements?Crossref | GoogleScholarGoogle Scholar |

Loffer CM, Rauch TL, Busch RH (1985) Grain and plant protein relationships in hard red spring wheat. Crop Science 25, 521–524.
Grain and plant protein relationships in hard red spring wheat.Crossref | GoogleScholarGoogle Scholar |

Lopez-Bellido RJ, Shepherd CE, Barraclough PB (2004) Predicting post-anthesis N requirements of bread wheat with a Minolta SPAD meter. European Journal of Agronomy 20, 313–320.
Predicting post-anthesis N requirements of bread wheat with a Minolta SPAD meter.Crossref | GoogleScholarGoogle Scholar |

Mahjourimajd S, Kuchel H, Langridge P, Okamoto M (2015) Evaluation of Australian wheat genotypes for response to variable nitrogen application. Plant and Soil 399, 247–255.

Marti J, Bort J, Slafer GA, Araus JL (2007) Can wheat yield be assessed by early measurements of Normalized Difference Vegetation Index? Annals of Applied Biology 150, 253–257.
Can wheat yield be assessed by early measurements of Normalized Difference Vegetation Index?Crossref | GoogleScholarGoogle Scholar |

Nguyen GN, Rothstein SJ, Spangenberg G, Kant S (2015) Role of microRNAs involved in plant response to nitrogen and phosphorous limiting conditions. Frontiers in Plant Science 6, 629
Role of microRNAs involved in plant response to nitrogen and phosphorous limiting conditions.Crossref | GoogleScholarGoogle Scholar |

Reeves DW, Mask PL, Wood CW, Delaney DP (1993) Determination of wheat nitrogen status with a handheld chlorophyll meter: Influence of management practices. Journal of Plant Nutrition 16, 781–796.
Determination of wheat nitrogen status with a handheld chlorophyll meter: Influence of management practices.Crossref | GoogleScholarGoogle Scholar |

Rouse JW, Haas JRH, Schell JA, Deering DW (1974) Monitoring vegetation systems in the Great Plains with ERTS. In ‘NASA SP-351, Third Earth Resources Technology Satellite-1 Symposium’. Vol. I: Technical presentations. (Eds SC Freden, EP Mercanti, MA Becker) pp. 309–317. (NASA: Washington, DC)

Sankaran S, Khot LR, Carter AH (2015a) Field-based crop phenotyping: Multispectral aerial imaging for evaluation of winter wheat emergence and spring stand. Computers and Electronics in Agriculture 118, 372–379.
Field-based crop phenotyping: Multispectral aerial imaging for evaluation of winter wheat emergence and spring stand.Crossref | GoogleScholarGoogle Scholar |

Sankaran S, Khot LR, Espinoza CZ, Jarolmasjed S, Sathuvalli VR, Vandemark GJ, Miklas PN, Carter AH, Pumphrey MO, Knowles NR, Pavek MJ (2015b) Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review. European Journal of Agronomy 70, 112–123.
Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review.Crossref | GoogleScholarGoogle Scholar |

Shukla AK, Ladha JK, Singh VK, Dwivedi BS, Balasubramanian V, Gupta RK, Sharma SK, Singh Y, Pathak H, Pandey PS, Padre AT, Yadav RL (2004) Calibrating the leaf color chart for nitrogen management in different genotypes of rice and wheat in a systems perspective. Agronomy Journal 96, 1606–1621.

Triboi E, Triboi-Blondel A-M (2002) Productivity and grain or seed composition: a new approach to an old problem—invited paper. European Journal of Agronomy 16, 163–186.
Productivity and grain or seed composition: a new approach to an old problem—invited paper.Crossref | GoogleScholarGoogle Scholar |

Whan B, Carlton G, Anderson W (1991) Potential for increasing early vigour and total biomass in spring wheat. I. Identification of genetic improvements. Australian Journal of Agricultural Research 42, 347–361.
Potential for increasing early vigour and total biomass in spring wheat. I. Identification of genetic improvements.Crossref | GoogleScholarGoogle Scholar |

Xiong D, Chen J, Yu T, Gao W, Ling X, Li Y, Peng S, Huang J (2015) SPAD-based leaf nitrogen estimation is impacted by environmental factors and crop leaf characteristics. Scientific Reports 5, 13389

Zadoks JC, Chang TT, Konzak CF (1974) A decimal code for the growth stages of cereals. Weed Research 14, 415–421.
A decimal code for the growth stages of cereals.Crossref | GoogleScholarGoogle Scholar |