Skip to main content
Log in

Optimising non-destructive sampling methods to study nitrogen use efficiency throughout the growth-cycle of giant C4 crops

  • Methods Paper
  • Published:
Plant and Soil Aims and scope Submit manuscript

Abstract

Aims

The improvement of nitrogen use efficiency (NUE) of crops allows crop nitrogen (N) demands to be met while reducing N supply, and so reducing excess N which has potential negative environmental implications. NUE is often determined destructively at the end of crop growth-cycles without considering temporal variability. Here we present a methodological study which optimises the determination of NUE throughout the sugarcane growth-cycle using minimally destructive methods, and suggest the use of these methods for non-destructive NUE determination over the growth-cycle of other giant C4 crops.

Methods and results

The determination of the NUE relied on the optimisation of three methods: the estimation of aboveground biomass, N content and N derived from fertiliser (NdfF). First, the ability of different allometric relationships to estimate sugarcane biomass was investigated by selecting a relationship based on height and diameter to estimate aboveground biomass along the crop growth-cycle. Secondly, we assessed the minimum number of harvested sugarcane required to construct a dilution curve to predict N content from biomass and found that a sampling of 5 sugarcane at 3 dates was sufficient to represent aboveground N content over the growth-cycle. Finally, the ability of 15N content of individual leaves to represent the NdfF in 15N-fertilised cane was tested. The first and second leaf below the top visible dewlap were the most representative. Based on a variance analysis, we assessed the level of influence of each method on the NUE calculation. Crop age accounted for 54% of the variance of NUE, the choice of 15N leaf 13%, with the choice of model to estimate biomass and the number of plants harvested for the N dilution curve, each accounting for less than 2% over the four sampling dates.

Conclusions

This study highlighted the importance of evaluating NUE not only at the point of harvest. We propose, therefore, a set of methods to study NUE throughout the sugarcane growth-cycle by using minimally destructive sampling.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Amaral LR, Molin JP, Portz G, Finazzi FB, Cortinove L (2015) Comparison of crop canopy reflectance sensors used to identify sugarcane biomass and nitrogen status. Precis Agric 16:15–28

    Google Scholar 

  • Ambrosano EJ, Trivelin PCO, Cantarella H, Ambrosano GMB, Schammass EA, Muraoka T, Rossi F (2011) 15N-labeled nitrogen from green manure and ammonium sulfate utilization by the sugarcane ratoon. Sci Agric 68:361–368

    CAS  Google Scholar 

  • Anten NP, Hirose T (1999) Interspecific differences in above-ground growth patterns result in spatial and temporal partitioning of light among species in a tall-grass meadow. J Ecol 87(4):583–597

    Google Scholar 

  • Baligar VC, Fageria NK, He ZL (2001) Nutrient use efficiency in plants. Commun Soil Sci Plant Anal 32:921–950

    CAS  Google Scholar 

  • Barbanti L, Grigatti M, Ciavatta C (2011) Nitrogen release from a 15N-labeled compost in a sorghum growth experiment. J Plant Nutr Soil Sci 174:240–248

    CAS  Google Scholar 

  • Basanta MV, Dourado-Neto D, Reichardt K, Bacchi OOS, Oliveira JCM, Trivelin PCO, Timm LC, Tominaga TT, Correchel V, Cássaro FAM, Pires LF, de Macedo JR (2003) Management effects on nitrogen recovery in a sugarcane crop grown in Brazil. Geoderma 116:235–248

    CAS  Google Scholar 

  • Bell MJ, Moody P, Salter B, Connellan J, Garside AL (2015) 3. Agronomy and physiology of nitrogen use in Australian sugarcane crops. In: A review of nitrogen use efficiency in sugarcane. Sugar research Australia

  • Blair G (1993) Nutrient efficiency - what do we really mean? In: Randall et al (eds) Genetic aspects of plant mineral nutrition. Kluwer Academic Publishers, pp 205–213

  • Cassman KG, Dobermann AR, Walters DT (2002) Agroecosystems, nitrogen-use efficiency, and nitrogen management. Ambio 31:132–140

    PubMed  Google Scholar 

  • Castaldi F, Casa R, Pelosi F, Yang H (2015) Influence of acquisition time and resolution on wheat yield estimation at the field scale from canopy biophysical variables retrieved from SPOT satellite data. Int J Remote Sens 36:2438–2459

    Google Scholar 

  • Chapman LS, Haysom MBC, Saffigna PG (1994) The recovery of 15N from labelled urea fertilizer in crop components of sugarcane and in soil profiles. Aust J Agric Res 45:1577–1585

    Google Scholar 

  • Chave J, Réjou-Méchain M, Búrquez A, Chidumayo E, Colgan MS, Delitti WB, Duque A, Eid T, Fearnside PM, Goodman RC, Henry M, Martínez-Yrízar A, Mugasha WA, Muller-Landau HC, Mencuccini M, Nelson BW, Ngomanda A, Nogueira EM, Ortiz-Malavassi E, Pélissier R, Ploton P, Ryan CM, Saldarriaga JG, Vieilledent G (2014) Improved allometric models to estimate the aboveground biomass of tropical trees. Glob Chang Biol 20:3177–3190

    PubMed  Google Scholar 

  • Courtaillac N, Baran R, Oliver R, Casabianca H, Ganry F (1998) Efficiency of nitrogen fertilizer in the sugarcane-vertical system in Guadeloupe according to growth and ratoon age of the cane. Nutr Cycl Agroecosyst 52:9–17

    Google Scholar 

  • de Oliveira ECA, de Castro Gava GJ, Trivelin PCO, Otto R, Franco HCJ (2013) Determining a critical nitrogen dilution curve for sugarcane. J Plant Nutr Soil Sci 176:712–723

    Google Scholar 

  • Dillewijn CV (1952) Botany of sugarcane. Chronica Botanica, Waltham, Mass and William Dawson & Sons, London

    Google Scholar 

  • Dobermann AR (2005) Nitrogen use efficiency – state of the art. Agronomy & Horticulture Faculty Publications. http://digitalcommons.unl.edu/agronomyfacpub/316

  • Dong T, Meng J, Shang J, Liu J, Wu B, Huffman T (2015) Modified vegetation indices for estimating crop fraction of absorbed photosynthetically active radiation. Int J Remote Sens 36:3097–3113

    Google Scholar 

  • Dong T, Shang J, Chen JM, Liu J, Qian B, Ma B, Morrison MJ, Zhang C, Liu Y, Shi Y, Pan H (2019) Assessment of portable chlorophyll meters for measuring crop leaf chlorophyll concentration. Remote Sens 11:2706

    Google Scholar 

  • Duru M, Lemaire G, Cruz P (1997) The nitrogen requirements of major agricultural crops: grasslands. In: Lemaire G (ed) Diagnosis on the nitrogen status in crops. Springer-Verlag, Heidelberg, pp 59–72

    Google Scholar 

  • Ferchaud F, Vitte G, Machet JM, Beaudoin N, Catterou M, Mary B (2016) The fate of cumulative applications of 15N-labelled fertiliser in perennial and annual bioenergy crops. Agric Ecosyst Environ 223:76–86

    Google Scholar 

  • Fortes C, Trivelin PCO, Vitti AC, Ferreira DA, Franco HCJ, Otto R (2011) Recovery of nitrogen (15N) by sugarcane from previous crop residues and urea fertilisation under a minimum tillage system. Sugar Tech 13:42–46

    CAS  Google Scholar 

  • Franco HCJ, Otto R, Faroni CE, Vitti AC, de Oliveira ECA, Trivelin PCO (2011) Nitrogen in sugarcane derived from fertilizer under Brazilian field conditions. Field Crops Res 121:29–41

    Google Scholar 

  • Gallais A, Coque M, Quilléré I, Prioul JL, Hirel B (2006) Modelling postsilking nitrogen fluxes in maize (Zea mays) using 15N-labelling field experiments. New Phytol 172:696–707

    CAS  PubMed  Google Scholar 

  • Galloway JN, Cowling EB (2002) Reactive nitrogen and the world: 200 years of change. Ambio 31:64–72

    PubMed  Google Scholar 

  • Galloway JN, Townsend AR, Erisman JW, Bekunda M, Cai Z, Freney JR, Sutton MA (2008) Transformation of the nitrogen cycle: recent trends, questions, and potential solutions. Science 320:889–892

    CAS  PubMed  Google Scholar 

  • Good AG, Shrawat AK, Muench DG (2004) Can less yield more? Is reducing nutrient input into the environment compatible with maintaining crop production? Trends Plant Sci 9:597–605

    CAS  PubMed  Google Scholar 

  • Hauck RD, Bremner JM (1976) Use of tracers for soil and fertilizer nitrogen research. Adv Agron 28:219–266

    Google Scholar 

  • Isa DW, Hofman G, Van Cleemput O (2006) Uptake and balance of fertilizer nitrogen applied to sugarcane. Field Crops Res 95:348–354

    Google Scholar 

  • Kwong KNK, Deville J (1994) The course of fertilizer nitrogen uptake by rainfed sugarcane in Mauritius. J Agric Sci 122:385–391

    CAS  Google Scholar 

  • Lemaire G, Salette J (1984) Relation entre dynamique de croissance et dynamique de prélèvement d’azote pour un peuplement de graminées fourragères. 1. Etude de l’effet du milieu. Agronomie 4:423–430

    Google Scholar 

  • Lemaire G, Jeuffroy MH, Gastal F (2008) Diagnosis tool for plant and crop N status in vegetative stage: theory and practices for crop N management. Eur J Agron 28:614–624

    CAS  Google Scholar 

  • Li Y, Song D, Dang P, Wei L, Qin X, Siddique KHM (2019) The effect of tillage on nitrogen use efficiency in maize (Zea mays L.) in a ridge–furrow plastic film mulch system. Soil Tillage Res 195:104409

    Google Scholar 

  • Lisson SN, Inman-Bamber NG, Robertson MJ, Keating BA (2005) The historical and future contribution of crop physiology and modelling research to sugarcane production systems. Field Crops Res 92:321–335

    Google Scholar 

  • Ma BL, Dwyer LM (1998) Nitrogen uptake and use of two contrasting maize hybrids differing in leaf senescence. Plant Soil 199:283–291

    CAS  Google Scholar 

  • Mariani C, Cabrini R, Danin A, Piffanelli P, Fricano A, Gomarasca S, Dicandilo M, Grassi F, Soave C (2010) Origin, diffusion and reproduction of the giant reed (Arundo donax L.): a promising weedy energy crop. Ann Appl Biol 157:191–202

    Google Scholar 

  • Martin AP, Palmer WM, Byrt CS, Furbank RT, Grof CP (2013) A holistic high-throughput screening framework for biofuel feedstock assessment that characterises variations in soluble sugars and cell wall composition in Sorghum bicolor. Biotechnology for biofuels 6:186

    PubMed  PubMed Central  Google Scholar 

  • O’Leary GJ (2000) A review of three sugarcane simulation models with respect to their prediction of sucrose yield. Field Crops Res 68:97–111

    Google Scholar 

  • Parresol BR (1999) Assessing tree and stand biomass: a review with examples and critical comparisons. For Sci 45:573–593

    Google Scholar 

  • Paul KI, Roxburgh SH, England JR, Ritson P, Hobbs T, Brooksbank K, John Raison R, Larmour JS, Murphy S, Norris J, Neumann C, Lewis T, Jonson J, Carter JL, McArthur G, Barton C, Rose B (2013) Development and testing of allometric equations for estimating above-ground biomass of mixed-species environmental plantings. For Ecol Manag 310:483–494

    Google Scholar 

  • Plénet D, Lemaire G (1999) Relationships between dynamics of nitrogen uptake and dry matter accumulation in maize crops. Determination of critical N concentration. Plant Soil 216:65–82

    Google Scholar 

  • R Core Team (2016) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. URL: http://www.R-project.org/

    Google Scholar 

  • Rae AL, Martinelli AP, Dornelas C (2013) Chapter 2 anatomy and morphology. In: Moore PH, Botha FC (eds) Sugarcane: physiology, biochemistry and functional biology. Wiley, New York, pp 19–34

    Google Scholar 

  • Rimski-Korsakov H, Rubio G, Lavado RS (2009) Effect of water stress in maize crop production and nitrogen fertilizer fate. J Plant Nutr 32:565–578

    CAS  Google Scholar 

  • Robinson N, Vogt J, Lakshmanan P, Schmidt S (2013) Chapter 8 nitrogen physiology of sugarcane. In: Moore PH, Botha FC (eds) Sugarcane: physiology, biochemistry and functional biology. Wiley, New York, pp 169–196

    Google Scholar 

  • Smil V (1999) Nitrogen in crop production : an account of global flows adds. Glob Biogeochem Cycles 13:647–662

    CAS  Google Scholar 

  • Smil V (2002) Nitrogen and food production: proteins for human diets. Ambio 31:126–131

    PubMed  Google Scholar 

  • Smith DM, Inman-Bamber NG, Thorburn PJ (2005) Growth and function of the sugarcane root system. Field Crops Res 92:169–183

    Google Scholar 

  • Takahashi DT (1967) Effect of amount and timing on the fate of fertilizer nitrogen in lysimeter studies with 15N. Haw Plant Rec 57:292–308

    Google Scholar 

  • Thorburn PJ, Biggs JS, Palmer J, Meier EA, Verburg K, Skocaj DM (2017) Prioritizing crop management to increase nitrogen use efficiency in australian sugarcane crops. Front Plant Sci 8:1–16

    Google Scholar 

  • Tilman D, Cassman KG, Matson PA, Naylor R, Polasky S (2002) Agricultural sustainability and intensive production practices. Nature 418:671–677

    CAS  Google Scholar 

  • Tittonell P, Vanlauwe B, Leffelaar PA, Giller KE (2005) Estimating yields of tropical maize genotypes from non-destructive, on-farm plant morphological measurements. Agric Ecosyst Environ 105:213–220

    Google Scholar 

  • Trivelin PCO, Lara Cabezas WAR, Victoria RL, Reichardt K (1994) Evaluation of a 15N plot design for estimating plant recovery of fertilizer nitrogen applied to sugar cane. Sci Agric 51:226–234

    Google Scholar 

  • Vieira-Megda MX, Mariano E, Leite JM, Franco HCJ, Vitti AC, Megda MM, Khan SA, Mulvaney RL, Trivelin PCO (2015) Contribution of fertilizer nitrogen to the total nitrogen extracted by sugarcane under Brazilian field conditions. Nutr Cycl Agroecosyst 101:241–257

    CAS  Google Scholar 

  • Walter J, Edwards J, McDonald G, Kuchel H (2018) Photogrammetry for the estimation of wheat biomass and harvest index. Field Crop Res 216:165–174

    Google Scholar 

  • WRB USS Working Group. 2015. World Reference Base for Soil Resources 2014, update 2015. International soil classification system for naming soils and creating legends for soil maps. World Soil Resources Reports No. 106. FAO, Rome

  • Youkhana AH, Ogoshi RM, Kiniry JR, Meki MN, Nakahata MH, Crow SE (2017) Allometric models for predicting aboveground biomass and carbon stock of tropical perennial C4 grasses in Hawaii. Front Plant Sci 8:650

    PubMed  PubMed Central  Google Scholar 

  • Zapater M, Catterou M, Mary B, Ollier M, Fingar L, Mignot E, Ferchaud F, Strullu L, Dubois F, Brancourt-Hulmel M (2017) A single and robust critical nitrogen dilution curve for miscanthus× giganteus and Miscanthus sinensis. BioEnergy Research 10:115–128

    Google Scholar 

  • Zhao et al. (2018) Determination of critical nitrogen concentration and dilution curve based on leaf area index for summer maize. Field Crop Resarch 228:195–203

Download references

Acknowledgments

We would like to thank Bernard Schroeder for his initial reviewing and suggestions for our paper.

Thank you to Didier Baret and Jules Philippe Nirlo for sample processing.

The site belongs to SOERE PRO, which is supported annually by Allenvi and the French national research infrastructure, ANAEE-F (http://www.anaee-france.fr/fr/).

We thank the Conseil Regional de La Réunion, the French Ministry of Agriculture and Food, the European Union (Feder program, grant n°GURTDI 20151501-0000735) and Cirad for funding A. Versini and M. Christina within the framework of the project ‘Services et impacts des activités agricoles en milieu tropical’ (Siaam).

We would also like to thank SILVATECH (Silvatech, INRA, 2018. Structural and functional analysis of tree and wood Facility, doi: https://doi.org/10.15454/1.5572400113627854E12) from UMR 1434 SILVA, 1136 IAM, 1138 BEF and 4370 EA LERMAB EEF for 15N isotopic analysis. SILVATECH facility is supported by the French National Research Agency through the Laboratory of Excellence ARBRE (ANR-11-LABX-0002-01).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Antoine Versini.

Additional information

Responsible Editor: Peter J. Gregory.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 15 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Poultney, D.MN., Christina, M. & Versini, A. Optimising non-destructive sampling methods to study nitrogen use efficiency throughout the growth-cycle of giant C4 crops. Plant Soil 453, 597–613 (2020). https://doi.org/10.1007/s11104-020-04611-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11104-020-04611-3

Keywords

Navigation