Low-cost assessment of wheat resistance to yellow rust through conventional RGB images

Computers and Electronics in Agriculture

Volumn 116, Issue , 2015, Pages 20-29

  Zhou, B ^a   Elazab, A ^a   Bort, J ^a   Vergara, O ^a   Serret, M D ^a   Araus, J L ^a  

^a UNIVERSITY OF BARCELONA   (Spain)

Author keywords

Grain yield; Hue; RGB images; Yellow rust

Indexed keywords

CROPS;

GRAIN YIELD; HIGH-THROUGHPUT PHENOTYPING; HUE; LEAF CHLOROPHYLL CONTENT; NET PHOTOSYNTHESIS RATE; PUCCINIA STRIIFORMIS F. SP. TRITICI; RGB IMAGES; YELLOW RUST;

GRAIN (AGRICULTURAL PRODUCT);

DIGITAL IMAGE; DISEASE INCIDENCE; GENOTYPE; PHENOTYPE; PHYSIOLOGY; WHEAT;

PUCCINIA STRIIFORMIS F. SP. TRITICI; TRITICUM AESTIVUM;

EID: 84934959123     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2015.05.017     Document Type: Article

References (58)

1. Akfirat F., Aydin Y., Ertugrul F., Hasancebi S., Budak H., Akan K., Mert Z., Bolat N., Uncuoglu A. A microsatellite marker for yellow rust resistance in wheat. Cereal Res. Commun. 2010, 38:203-210.
2. Araus J.L., Cairns J.E. Field high-throughput phenotyping: the new crop breeding frontier. Trends Plant Sci. 2014, 19:52-61.
3. Arregui L.M., Lasa B., Lafarga A., Irañeta I., Baroja E., Quemada M. Evaluation of chlorophyll meters as tools for N fertilization in winter wheat under humid Mediterranean conditions. Eur. J. Agron. 2006, 24:140-148.
4. Ashourloo D., Mobasheri M.R., Huete A. Evaluating the effect of different wheat rust disease symptoms on vegetation indices using hyperspectral measurements. Remote Sens. 2014, 6:5107-5123.
5. Berghaus R., Reisener H.J. Changes in photosynthesis of wheat plants infected with wheat stem rust (Puccinia graminis f. sp. tritici). J. Phytopathol. 1985, 112:165-172.
6. Bethenod O., Huber L., Slimi H. Photosynthetic response of wheat to stress induced by Puccinia recondita and post-infection drought. Photosynthetica 2001, 39:581-590.
7. Bock C.H., Poole G.H., Parker P.E., Gottwald T.R. Plant disease severity estimated visually, by digital photography and image analysis, and by hyperspectral imaging. Crit. Rev. Plant Sci. 2010, 29:59-107.
8. Bürling K., Hunsche M., Noga G. Use of blue-green and chlorophyll fluorescence measurements for differentiation between nitrogen deficiency and pathogen infection in winter wheat. J. Plant Physiol. 2011, 168:1641-1648.
9. Cabrera-Bosquet L., Crossa J., von Zitzewitz J., Serret M.D., Araus J.L. High-throughput phenotyping and genomic selection: the frontiers of crop breeding converge. J. Integr. Plant Biol. 2012, 54:312-320.
10. Carretero R., Bancal M.O., Miralles D.J. Effect of leaf rust (Puccinia triticina) on photosynthesis and related processes of leaves in wheat crops grown at two contrasting sites and with different nitrogen levels. Eur. J. Agron. 2011, 35:237-246.
11. Casadesús, J., Biel, C., Savé, R., 2005. Turf color measurement with conventional digital cameras. In: Proceedings of 2005 EFITA/WCCA Joint Congress on IT in Agriculture. Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal, pp. 804-811.
12. Casadesús J., Kaya Y., Bort J., Nachit M.M., Araus J.L., Amor S., Ferrazzano G., Maalouf F., Maccaferri M., Martos V., Ouabbou H., Villegas D. Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water-limited environments. Ann. Appl. Biol. 2007, 150:227-236.
13. Casadesús J., Villegas D. Conventional digital cameras as a tool for assessing leaf area index and biomass for cereal breeding. J. Integr. Plant Biol. 2014, 56:7-14.
14. Chen X., Moore M., Milus E.A., Long D.L., Line R.F., Marshall D., Jackson L. Wheat stripe rust epidemics and races of Puccinia striiformis f. sp. tritici in the United States in 2000. Plant Dis. 2002, 86:39-46.
15. Cheng H.D., Jiang X.H., Sun Y., Wang J. Color image segmentation: advances and prospects. Pattern Recogn. 2001, 34:2259-2281.
16. Devadas R., Lamb D.W., Simpfendorfer S., Backhouse D. Evaluating ten spectral vegetation indices for identifying rust infection in individual wheat leaves. Precision Agric. 2009, 10:459-470.
17. Diéguez-Uribeondo J., Förster H., Adaskaveg J.E. Digital image analysis of internal light spots of appressoria of Colletotrichum acutatum. Phytopathology 2003, 93:923-930.
18. FAO, 2014. Wheat Rust Diseases Remain a Constant but Neglected Threat. http://www.fao.org/news/story/zh/item/177897/icode/.
19. Febrero A., Araus J.L. Epicuticular wax load, yield, carbon isotope discrimination, canopy reflectance and epidermal conductance of near-isogenic barley lines differing in glaucousness. Scanning Microsc. 1994, 8:735-748.
20. Fiorani F., Rascher U., Jahnke S., Schurr U. Imaging plants dynamics in heterogenic environments. Curr. Opin. Biotechnol. 2012, 23:227-235.
21. Franke, J., Menz, G., Oerke, E.-C., Rascher, U., 2005. Comparison of multi- and hyperspectral imaging data of leaf rust infected wheat plants, pp. 59761D-59761D-59711.
22. GENVCE, 2014. Group for the Evaluation of New Varieties of Extensive Crops in Spain (Grupo para la Evaluación de Nuevas Variedades de Cultivos Extensivos en España - GENVCE) http://www.genvce.org/.
23. Gooding M.J., Dimmock J.P.R.E., France J., Jones S.A. Green leaf area decline of wheat flag leaves: the influence of fungicides and relationships with mean grain weight and grain yield. Ann. Appl. Biol. 2000, 136:77-84.
24. Graeff S., Link J., Claupein W. Identification of powdery mildew (Erysiphe graminis sp. tritici) and take-all disease (Gaeumannomyces graminis sp. tritici) in wheat (Triticum aestivum L.) by means of leaf reflectance measurements. Cent. Eur. J. Biol. 2006, 1:275-288.
25. GRRC, 2014. Yellow Rust Tools - Maps and Charts http://wheatrust.org/news-and-events/news-item/artikel/warrior-and-kranich-races-still-dominating-in-2014-in-europe/.
26. Han D.J., Wang Q.L., Zhang L., Wei G.R., Zeng Q.D., Zhao J., Wang X.J., Huang L.L., Kang Z.S. Evaluation of resistance of current wheat cultivars to stripe rust in northwest China, north China and the middle and lower reaches of Changjiang river epidemic area. Sci. Agric. Sin. 2010, 43:2889-2896. (Chinese version with English abstract).
27. He Z., Xia X., Chen X., Zhuang Q. Progress of wheat breeding in China and the future perspective. Acta Agron. Sin. 2011, 37:202-215. (Chinese version with English abstract).
28. Herrera-Foessel S.A., Singh R.P., Huerta-Espino J., Crossa J., Yuen J., Djurle A. Effect of leaf rust on grain yield and yield traits of durum wheats with race-specific and slow-rusting resistance to leaf rust. Plant Dis. 2006, 90:1065-1072.
29. Karcher D.E., Richardson M.D. Batch analysis of digital images to evaluate turfgrass characteristics. Crop Sci. 2005, 45:1536-1539.
30. Kipp S., Mistele B., Schmidhalter U. Identification of stay-green and early senescence phenotypes in high-yielding winter wheat, and their relationship to grain yield and grain protein concentration using high-throughput phenotyping techniques. Funct. Plant Biol. 2014, 41:227-235.
31. Kolmer J.A., Singh R.P., Garvin D.F., Viccars L., William H.M., Huerta-Espino J., Ogbonnaya F.C., Raman H., Orford S., Bariana H.S., Lagudah E.S. Analysis of the Lr34/Yr18 rust resistance region in wheat germplasm. Crop Sci. 2008, 48:1841-1852.
32. Kuckenberg J., Tartachnyk I., Noga G. Detection and differentiation of nitrogen-deficiency, powdery mildew and leaf rust at wheat leaf and canopy level by laser-induced chlorophyll fluorescence. Biosyst. Eng. 2009, 103:121-128.
33. Kuckenberg J., Tartachnyk I., Noga G. Temporal and spatial changes of chlorophyll fluorescence as a basis for early and precise detection of leaf rust and powdery mildew infections in wheat leaves. Precision Agric. 2008, 10:34-44.
34. Kurniawati, N.N., Abdullah, S.N.H.S., Abdullah, S., Abdullah, S., 2009. Investigation on image processing techniques for diagnosing paddy diseases. In: Soft Computing and Pattern Recognition, SOCPAR International Conference, 2009, pp. 272-277.
35. Lenthe J.H., Oerke E.C., Dehne H.W. Digital infrared thermography for monitoring canopy health of wheat. Precision Agric. 2007, 8:15-26.
36. Lukina E.V., Stone M.L., Raun W.R. Estimating vegetation coverage in wheat using digital images. J. Plant Nutr. 1999, 22:341-350.
37. McGrath M.T., Pennypacker S.P. Alteration of physiological processes in wheat flag leaves caused by stem rust and leaf rust. Phytopathology 1990, 80:677-686.
38. Mirik M., Michels G.J., Kassymzhanova-Mirik S., Elliott N.C., Catana V., Jones D.B., Bowling R. Using digital image analysis and spectral reflectance data to quantify damage by greenbug (Hemitera: Aphididae) in winter wheat. Comput. Electron. Agric. 2006, 51:86-98.
39. Moshou D., Bravo C., West J., Wahlen S., McCartney A., Ramon H. Automatic detection of 'yellow rust' in wheat using reflectance measurements and neural networks. Comput. Electron. Agric. 2004, 44:173-188.
40. Munns R., James R.A., Sirault X.R.R., Furbank R.T., Jones H.G. New phenotyping methods for screening wheat and barley for beneficial responses to water deficit. J. Exp. Bot. 2010, 61:3499-3507.
41. Pan, G., Li, F.M., Sun, G.J., 2007. Digital camera based measurement of crop cover for wheat yield prediction. In: Geoscience and Remote Sensing Symposium, IGARSS 2007, IEEE International, pp. 797-800.
42. Reyniers M., Vrindts E., Baerdemaeker J.D. Optical measurement of crop cover for yield prediction of wheat. Biosyst. Eng. 2004, 89:383-394.
43. Robert C., Bancal M.O., Ney B., Lannou C. Wheat leaf photosynthesis loss due to leaf rust, with respect to lesion development and leaf nitrogen status. New Phytol. 2005, 165:227-241.
44. Robert C., Bancal M.O., Nicolas P., Lannou C., Ney B. Analysis and modelling of effects of leaf rust and Septoria tritici blotch on wheat growth. J. Exp. Bot. 2004, 55:1079-1094.
45. Römer C., Wahabzada M., Ballvora A., Pinto F., Rossini M., Panigada C., Behmann J., Léon J., Thurau C., Bauckhage C., Kersting K., Rascher U., Plümer L. Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis. Funct. Plant Biol. 2012, 39:878-890.
46. Rosewarne G.M., Singh R.P., Huerta-Espino J., William H.M., Bouchet S., Cloutier S., McFadden H., Lagudah E.S. Leaf tip necrosis, molecular markers and β1-proteasome subunits associated with the slow rusting resistance genes Lr46/Yr29. Theor. Appl. Genet. 2006, 112:500-508.
47. Scholes J., Rolfe S. Photosynthesis in localised regions of oat leaves infected with crown rust (Puccinia coronata): quantitative imaging of chlorophyll fluorescence. Planta 1996, 199:573-582.
48. Scholes J.D., Lee P.J., Horton P., Lewis D.H. Invertase: understanding changes in the photosynthetic and carbohydrate metabolism of barley leaves infected with powdery mildew. New Phytol. 1994, 126:213-222.
49. Singh R.P., Nelson J.C., Sorrells M.E. Mapping Yr28 and other genes for resistance to stripe rust in wheat. Crop Sci. 2000, 40:1148-1155.
50. Smith R.C.G., Heritage A.D., Stapper M., Barrs H.D. Effect of stripe rust (puccinia striiformis west.) and irrigation on the yield and foliage temperature of wheat. Field Crops Res. 1986, 14:39-51.
51. Spitters C.J.T., Van Roermund H.J.W., Van Nassau H.G.M.G., Schepers J., Mesdag J. Genetic variation in partial resistance to leaf rust in winter wheat: disease progress, foliage senescence and yield reduction. Neth. J. Plant Pathol. 1990, 96:3-15.
52. Teena M., Manickavasagan A. Thermal Infrared Imaging. Imaging with Electromagnetic Spectrum 2014, 147-173. Springer, Heidelberg, Berlin, Germany. A. Manickavasagan, H. Jayasuriya (Eds.).
53. Trethowan R.M., Reynolds M., Sayre K., Ortiz-Monasterio I. Adapting wheat cultivars to resource conserving farming practices and human nutritional needs. Ann. Appl. Biol. 2005, 146:405-413.
54. Trussell H.J., Vrhel M.J., Saber E. Color image processing. IEEE Signal Process. Mag. 2005, 22:14-22.
55. Wan A.M., Chen X.M., He Z.H. Wheat stripe rust in China. Aust. J. Agric. Res. 2007, 58:605-619.
56. Yang Z., Rao M.N., Elliott N.C., Kindler S.D., Popham T.W. Differentiating stress induced by greenbugs and Russian wheat aphids in wheat using remote sensing. Comput. Electron. Agric. 2009, 67:64-70.
57. Yin G.H., Wang J.W., Wen W.E., He Z.H., Li Z.F., Wang H., Xia X.C. Mapping of wheat stripe rust resistance gene YrZH84 with RGAP markers and its application. Acta Agron. Sin. 2009, 35:1274-1281.
58. Zeng S.M., Luo Y. Systems analysis of wheat stripe rust epidemics in China. Eur. J. Plant Pathol. 2008, 121:425-438.