Spectral assessments of wheat plants grown in pots and containers under saline conditions

Functional Plant Biology

Volumn 40, Issue 4, 2013, Pages 409-424

  Hackl, Harald ^a   Mistele, Bodo ^a   Hu, Yuncai ^a   Schmidhalter, Urs ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

greenhouse; growth environment; phenotyping; reflectance; remote sensing; spectral index

Indexed keywords

ABOVEGROUND BIOMASS; ENVIRONMENTAL STRESS; EXPERIMENTAL STUDY; FIELD METHOD; GROWTH RATE; QUANTITATIVE ANALYSIS; SALINITY; SPECTRAL ANALYSIS; SPECTRAL REFLECTANCE; WATER CONTENT; WHEAT;

TRITICUM AESTIVUM;

EID: 84876563802     PISSN: 14454408     EISSN: None     Source Type: Journal    
DOI: 10.1071/FP12208     Document Type: Article

References (48)

1. Arvidsson S, Pérez-Rodríguez P, Mueller-Roeber B (2011) A growth phenotyping pipeline for Arabidopsis thaliana integrating image analysis and rosette area modeling for robust quantification of genotype effects. New Phytologist 191, 895-907. doi:10.1111/j.1469-8137.2011.03756.x
2. Berger B, Parent B, TesterM(2010) High-throughput shoot imaging to study drought responses. Journal of Experimental Botany 61(13), 3519-3528. doi:10.1093/jxb/erq201
3. Claudio HC, Cheng Y, Fuentes DA, Gamon JA, Luo H, Oechel W, Qiu H-L, Rahman AF, Sims DA (2006) Monitoring drought effects in vegetation water content and fluxes in chaparral with the 970 nm water band index. Remote Sensing of Environment 103, 304-311. doi:10.1016/j.rse.2005. 07.015 (Pubitemid 44093659)
4. El-Hendawy SE, Hu Y, Yakout GM, Awad AM, Hafiz SE, Schmidhalter U (2005) Evaluating salt tolerance of wheat genotypes using multiple parameters. European Journal of Agronomy 22, 243-253. doi:10.1016/j.eja.2004.03.002 (Pubitemid 40240794)
5. Elmetwalli AMH, Tyler AN, Hunter PD, Salt CA (2012) Detecting and distinguishing moisture-and salinity-induced stress in wheat and maize through in situ spectroradiometry measurements. Remote Sensing Letters 3, 363-372. doi:10.1080/01431161.2011.599346
6. Elsayed S, Mistele B, Schmidhalter U (2011) Can changes in leaf water potential be assessed spectrally Functional Plant Biology 38, 523-533.
7. 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. doi:10.1016/j.fcr. 2011.06.007
8. Food and Agriculture Organization (2008) FAO land and plant nutrition management service. Available at: http://www.fao.org/ag/agl/agll/spush [Verified December 2012].
9. Furbank RT, Tester M (2011) Phenomics-technologies to relieve the phenotyping bottleneck. Trends in Plant Science 16, 635-644. doi:10.10 16/j.tplants.2011.09.005
10. Gao X, Huete AR, Ni W, Miura T (2000) Optical-biophysical relationships of vegetation spectra without background contamination. Remote Sensing of Environment 74, 609-620. doi:10.1016/S0034-4257(00)00150-4 (Pubitemid 32139661)
11. Golzarian MR, Frick RA, Rajendran K, Berger B, Roy S, Tester M, Lun DS (2011) Accurate inference of shoot biomass from high-throughput images of cereal plants. Plant Methods 7, 2. doi:10.1186/1746-4811-7-2
12. Graeff S, Claupein W (2007) Identification and discrimination of water stress in wheat leaves (Triticum aestivum L.) by means of reflectance measurements. Irrigation Science 26, 61-70. doi:10.1007/s00271-007-0072-1 (Pubitemid 47460519)
13. Gutierrez M, Reynolds MP, Klatt AR (2010) Association of water spectral indices with plant and soil water relations in contrasting wheat genotypes. Journal of Experimental Botany 61, 3291-3303. doi:10.1093/jxb/erq156
14. Guyot G, Baret F, Major DJ (1988) High spectral resolution: determination of spectral shifts between the red and the near infrared. International Archives of Photogrammetry and Remote Sensing 11, 750-760.
15. Hackl H, Baresel JP, Mistele B,HuY, SchmidhalterU(2012)Acomparison of plant temperatures as measured by thermal imaging and infrared thermometry. Journal Agronomy & Crop Science 198, 415-429. doi:10.1111/j.1439-037X.2012. 00512.x
16. Holland-Scientific (2008) 'Crop circle ACS-470 user's guide' (Holland Scientific: Lincoln) Huete AR (1988) A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment 25, 295-309. doi:10.1016/0034-4257(88)90106-x
17. Kipp S, Mistele B, Schmidhalter U (2012) Active sensor performance-dependence on measuring height, device temperature and light intensity. In 'Proceedings of the 11th international conference on precision agriculture, 15-18 July, 2012, Indianapolis, Indiana USA'. (CD-ROM) (The International Society of Precision Agriculture: Monticello, IL)
18. Leone AP, Menenti M, Sorrentino G (2001) Reflectance spectrometry to study crop response to soil salinity. Italian Journal of Agronomy 4, 75-85.
19. Leone AP, Menenti M, Buondonno A, Letizia A, Maffei C, Sorrentino G (2007)Afield experimenton spectrometry of crop response to soil salinity. Agricultural Water Management 89, 39-48. doi:10.1016/j.agwat.2006. 12.004 (Pubitemid 46329908)
20. Liebler J, Sticksel E, Maidl FX (2001) Field spectroscopic measurements to characterise nitrogen status and dry matter production of winter wheat. In 'Proceedings of the third European conference on precision agriculture, Montpellier', 18-20 June 2001 (Eds S Blackmore, G Grenier) pp. 935-940. (Agro Montpellier: Montpellier)
21. Major DJ, Baumeister R, Touré A, Zhao S (2003) Methods of measuring and characterizing the effects of stresses on leaf and canopy signatures. In 'Digital Imaging and Spectral Techniques: Applications to Precision Agriculture and Crop Physiology'. ASA Special Publication 66. pp. 81-93. (American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America: Madison, WI)
22. Mistele B, SchmidhalterU(2008) Spectral measurements of the total aerial N and biomass dry weight in maize using a quadrilateral-view optic. Field Crops Research 106, 94-103. doi:10.1016/j.fcr.2007.11.002 (Pubitemid 50013663)
23. Mistele B, Schmidhalter U (2010) Tractor-based quadrilated spectral reflectance measurements to detect biomass and total aerial nitrogen in winter wheat. Agronomy Journal 102, 499-506. doi:10.2134/agronj 2009.0282
24. Mistele B, Gutser R, SchmidhalterU(2004) Validation of field-scaled spectral measurements of the nitrogen status in winter wheat. In 'Seventh international conference on precision agriculture and other precision resources management, Minneapolis, Minnesota, USA' (Ed D Mulla), pp. 1187-1195.
25. Munns R (2005) Genes and salt tolerance: bringing them together. New Phytologist 167, 645-663. doi:10.1111/j.1469-8137.2005.01487.x (Pubitemid 43923804)
26. NTech Industries (2007) 'GreenSeekerRT100 datasheet'. (NTech Industries: Ukiah) Passioura JB (2006) The perils of pot experiments. Functional Plant Biology 33, 1075-1079. doi:10.1071/FP06223 (Pubitemid 44892502)
27. Passioura JB (2010) Scaling up: the essence of effective agricultural research. Functional Plant Biology 37, 585-591. doi:10.1071/FP10106
28. Pearson RL, Miller LD (1972) Remote mapping of standing crop biomass for estimating of the productivity of the short-grass Prairie, Pawnee National Grasslands, Colorado. In 'Eighth international symposium on remote sensing of environment'. pp. 1357-1381 (Environmental Research Institute of Michigan: Ann Arbor)
29. Peñuelas J, InoueY (1999) Reflectance indices indicative of changes in water and pigment contents of peanut and wheat leaves. Photosynthetica 36, 355-360. doi:10.1023/A:1007033503276 (Pubitemid 29411923)
30. Peñuelas J, Filella I, Biel C, Serrano L, Savé R (1993) The reflectance at the 950-970 nm region as an indicator of plant water status. International Journal of Remote Sensing 14, 1887-1905. doi:10.1080/014311693 08954010
31. Peñuelas J, Filella I, Gamon J (1995) Assessment of photosynthetic radiationuse efficiency with spectral reflectance. New Phytologist 131, 291-296. doi:10.1111/j.1469-8137.1995.tb03064.x (Pubitemid 3001160)
32. Peñuelas J, Piñol J, Ogaya R, Filella I (1997a) Estimation of plant water concentration by the reflectance water indexWI(R900/R970). International Journal of Remote Sensing 18, 2869-2875. doi:10.1080/014311697 217396
33. Peñuelas J, Isla R, Filella I, Araus JL (1997b) Visible and near-infrared reflectance assessment of salinity effects on barley. Crop Science 37, 198-202. doi:10.2135/cropsci1997.0011183X003700010033x (Pubitemid 27069347)
34. Poorter H, Bühler J, van Dusschoten D, Climent J, Postma JA (2012) Pot size matters: a meta-analysis of the effects of rooting volume on plant growth. Functional Plant Biology doi:10.1071/FP12049
35. Poss JA, Russell WB, GrieveCM(2006) Estimating yields of salt-and waterstressed forages with remote sensing in the visible and near infrared. Journal of Environmental Quality 35, 1060-1071. doi:10.2134/jeq2005. 0204 (Pubitemid 44125803)
36. Rajendran K, TesterM,RoySJ (2009) Quantifying the three main components of salinity tolerance in cereals. Plant, Cell & Environment 32, 237-249. doi:10.1111/j.1365-3040.2008.01916.x
37. Rud R, Shoshany M, Alchanatis V (2011) Spectral indicators for salinity effects in crops: a comparison of a new green indigo ratio with existing indices. Remote Sensing Letters 2, 289-298. doi:10.1080/01431161. 2010.520343
38. Schmidhalter U, Oertli JJ (1991) Germination and seedling growth of carrots under salinity and moisture stress. Plant and Soil 132, 243-251.
39. Schmidhalter U, Burucs Z, CampKH(1998) Sensitivity of root and leaf water status in maize (Zea mays L.) subjected to mild soil dryness. Australian Journal of Plant Physiology 25, 307-316. doi:10.1071/PP97047
40. Sembiring H, RaunWR,Johnson GV, Stone ML, Solie JB, Phillips SB(1998) Detection of nitrogen and phosphorus nutrient status in winter wheat using spectral radiance. Journal of Plant Nutrition 21, 1207-1233. doi:10.1080/01904169809365478 (Pubitemid 28320277)
41. Takebe M, Yoneyama T, Inada K, Murakami T (1990) Spectral reflectance ratio of rice canopy for estimating crop nitrogen status. Plant and Soil 122, 295-297. doi:10.1007/BF02851988
42. Tavakkoli E, Rengasamy P, McDonald GK (2010) The response of barley to salinity stress differs between hydroponics and soil systems. Functional Plant Biology 37, 621-633. doi:10.1071/FP09202
43. Thoren D, Schmidhalter U(2009) Nitrogen status and biomass determination of oilseed rape by laser-induced chlorophyll fluorescence. European Journal of Agronomy 30, 238-242. doi:10.1016/j.eja.2008.12.001
44. Turhan H, Genc L, Smith SE, Bostanci YB, Turkmen OS (2008) Assessment of the effect of salinity on the early growth stage of the common sunflower (Sanay cultivar) using spectral discrimination techniques. African Journal of Biotechnology 7, 750-756. (Pubitemid 351488646)
45. Wang D, Wilson C, Shannon MC (2002) Interpretation of salinity and irrigation effects on soybean canopy reflectance in visible and nearinfrared spectrum domain. International Journal of Remote Sensing 23, 811-824. doi:10.1080/01431160110070717 (Pubitemid 34209840)
46. Winterhalter L, Mistele B, Jampatong S, Schmidhalter U (2011a) High throughput sensing of aerial biomass and above-ground nitrogen uptake in the vegetative stage of well-watered and drought stressed tropical maize hybrids. Crop Science 51, 479-489. doi:10.2135/cropsci2010.07.0397
47. Winterhalter L, Mistele B, Jampatong S, Schmidhalter U (2011b) High throughput phenotyping of canopy water mass and canopy temperature in well-watered and drought stressed tropical maize hybrids in the vegetative stage. European Journal of Agronomy 35, 22-32. doi:10.1016/j.eja.2011.03.004
48. Zadoks JC, Chang TT, Konzak CF (1974) A decimal code for the growth stages of cereals. Weed Research 14, 415-421. doi:10.1111/j.1365-3180.1974. tb01084.x