Using ground-based reflectance measurements as selection criteria for drought-and aflatoxin-resistant peanut genotypes

Crop Science

Volumn 47, Issue 3, 2007, Pages 1040-1050

  Sullivan, Dana G ^a   Holbrook, C Corley ^a  

^a SOUTHEAST WATERSHED RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARACHIS HYPOGAEA;

EID: 34548153748     PISSN: 0011183X     EISSN: None     Source Type: Journal    
DOI: 10.2135/cropsci2006.08.0511     Document Type: Article

References (39)

1. Anderson, W.F., C.C. Holbrook, D.M. Wilson, and M.E. Matheron. 1995. Evaluation of preharvest aflatoxin contamination in some potentially resistant peanut genotypes. Peanut Sci. 22:29-32.
2. Aparacio, N., D. Villegas, J. Casadesus, J.L. Araus, and C. Royo. 2000. Spectral vegetation indices as nondestructive tools for determining durum wheat yield. Agron. J. 92:83-91.
3. Aquino, V.M., F.M. Shokes, R.D. Berger, D.W. Gorbet, and T.A. Kucharek. 1992. Relationships among late leafspot, healthy leaf area duration, canopy reflectance and pod yield of peanut. Phytopathology 85:546-552.
4. Baret, F., G. Guyot, and D.J. Major. 1989. TSAVI: A vegetation index which minimizes soil brightness effests on LAI and APAR estimation. In Proc. IGARRS '89 and Can. Symp. Remote Sensing, 12th, Vancouver, BC. 10-14 July 1989. Institute of Electrical and Electronics Engineers, New York.
5. Bausch, W.C., and K. Diker. 2001. Innovative remote sensing techniques to increase nitrogen use efficiency of corn. Commun. Soil Sci. Plant Anal. 32:1371-1390.
6. Blackmer, T.M., J.S. Schepers, and G.E. Varvel. 1994. Light reflectance compared with other nitrogen stress measurements in corn leaves. Agron. J. 86:934-938.
7. Blackmer, T.M., J.S. Schepers, G.E. Varvel, and G.E. Meyer. 1996. Analysis of aerial photography for nitrogen stress within corn fields. Agron. J. 88:729-733.
8. Blankenship, P.D., R.J. Cole, and T.H. Sanders. 1985. Comparative susceptibility of four experimental peanut lines and the cultivar Florunner to preharvest aflatoxin contamination. Peanut Sci. 12:70-72.
9. Daughtry, C.S.T., C.L. Walthall, M.S. Kim, E. Brown de Colstoun, and J.E. McMurtrey. 2000. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sens. Environ. 74:222-239.
10. Gallagher, J.N., and P.V. Biscoe. 1978. Radiation absorption, growth, and yield of cereals. J. Agric. Sci. (Cambridge) 91:47-60.
11. Gausman, H.W., and W.A. Allen. 1973. Optical properties of leaves of 30 plant species. Plant Physiol. 52:57-62.
12. Gitelson, A.A., Y.J. Kaufman, and M.N. Merzlyak. 1996. Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sens. Environ. 58:289-298.
13. Hatfield, J.L. 1990. Remote detection of crop stress: Application to plant pathology. Phytopathology 80:37-39.
14. Hatfield, J.L., and P.J. Pinter. 1993. Remote sensing for crop protection. Crop Prot. 12:403-412.
15. Holbrook, C.C., C.K. Kvien, K.S. Ruckers, D.M. Wilson, and J.E. Hook. 2000. Preharvest aflatoxin contamination in drought tolerant and intolerant peanut genotypes. Peanut Sci. 27:45-48.
16. Huete, A.R. 1989. A soil adjusted vegetation index (SAVI). Remote Sens. Environ. 25:295-309.
17. Jackson, T.J., A.J. Gasiewski, A. Oldak, M. Klein, E.G. Njoku, A. Yevgrafov, S. Christiani, and R. Bindlish. 2002. Soil moisture retrieval using the C-band polarimetric scanning radiometer during the Southern Great Plains 1999 Experiment. IEEE Trans. Geosci. Remote Sens. 40:2151-2161.
18. Kisyombe, C.T., M.K. Beute, and G.A. Payne. 1985. Field evaluation of peanut genotypes for resistance to infection by Aspergillus parasiticus. Peanut Sci. 12:12-17.
19. Li, H., R.J. Lascano, E.M. Barnes, J. Booker, L.T. Wilson, K.F. Bronson, and E. Segarra. 2001. Multispectral reflectance of cotton related to plant growth, soil water and texture, and site elevation. Agron. J. 93:1327-1337.
20. Mehan, V.K., D. McDonald, N. Ranakrishna, and J.H. Williams. 1986. Effect of genotype and date of harvest on infection of peanut seed by Aspergillus flavus and subsequent contamination with aflatoxin. Peanut Sci. 13:46-50.
21. Moran, M.S., T.R. Clarke, Y. Inoue, and A. Vidal. 1994. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sens. Environ. 49:246-263.
22. Nutter, F.W., and R.H. Littrell. 1996. Relationship between defoliation, canopy reflectance, and pod yield in the peanut-late leafspot pathosystem. Crop Prot. 15:135-142.
23. Nutter, F.W., R.H. Littrell, and T.B. Brenneman. 1990. Utilization of a multispectral radiometer to evaluate fungicide efficacy to control late leaf spot in peanut. Phytopathology 80:102-108.
24. Osborne, S.L., J.S. Schepers, D.D. Francis, and M.R. Schlemmer. 1994. Detection of phosphorus and nitrogen deficiencies in corn using spectral radiance measurements. Agron. J. 94:1215-1221.
25. Plant, R.E., D.S. Munk, B.R. Roberts, R.L. Vargas, D.W. Rains, R.L. Travis, and R.B. Hutmacher. 2000. Relationships between remotely sensed reflectance data and cotton growth and yield. Trans. ASAE 43:535-546.
26. Ritchie, G.L., and C.W. Bednardz. 2005. Estimating defoliation of two distinct cotton types using reflectance data. J. Cotton Sci. 9:182-188.
27. Rondeaux, G., M. Steven, and F. Baret. 1996. Optimization of soil adjusted vegetation indices. Remote Sens. Environ. 55:95-107.
28. Rouse, J.W., R.H. Haas Jr., J.A. Schell, and D.W. Deering. 1974. Monitoring vegetation systems in the Great Plains with ERTS. p. 309-317. In Proc. ERTS-1 Symp., 3rd, Greenbelt, MD. 10-15 Dec. 1974. NASA, Washington, DC.
29. Ruckers, K.S., C.K. Kvien, C.C. Holbrook, and J.E. Hook. 1995. Identification of peanut genotypes with improved drought avoidance traits. Peanut Sci. 21:14-18.
30. Shanahan, J.F., J.S. Schepers, D.D. Francis, G.E. Varvel, W.W. Wilhem, J.M. Tringe, M.R. Schlemmer, and D.J. Major. 2001. Use of remote-sensing imagery to estimate corn yield. Agron. J. 93:583-589.
31. Strachan, I.B., E. Pattey, and J.B. Boisvert. 2002. Impact of nitrogen and environmental conditions on corn as detected by hyperspectral reflectance. Remote Sens. Environ. 80:213-244.
32. Sullivan, D.G., J.N. Shaw, P. Mask, D. Rickman, J. Luvall, and J.M. Wersinger. 2004. Evaluating corn (Zea Mays L.) N variability via remote sensed data. Commun. Soil Sci. Plant Anal. 35:2465-2483.
33. Sullivan, D.G., J.N. Shaw, and D. Rickman. 2005. IKONOS imagery to predict soil properties in two physiographic regions of Alabama. Soil Sci. Soc. Am. J. 69:1789-1798.
34. Topp, G.C., J.L. Davis, and A.P. Annan. 1980. Electromagnetic determination of soil water content. Water Resour. Res. 16:574-583.
35. Trucksess, M.W., M.E. Stack, S. Nesheim, S.W. Page, R.H. Albert, T.J. Hansen, and K.F. Donahue. 1991. Immunoaffinity column coupled with solution fluorometry or liquid chromatography postcolumn derivitization for determination of aflatoxins in corn, peanuts, and peanut butter: Collaborative study. J. Assoc. Off. Anal. Chem. 74:81-88.
36. Waliyar, F., H. Hassan, S. Bonkoungou, and J.P. Bosc. 1994. Sources of resistance to Aspergillus flavus and aflatoxin contamination in groundnut genotypes in West Africa. Plant Dis. 78:704-708.
37. Whalley, W.R. 1993. Considerations on the use of time-domain reflectometry for measuring soil water content. J. Soil Sci. 44:1-9.
38. Will, M.E., C.C. Holbrook, and D.M. Wilson. 1994. Evaluation of field inoculation techniques for screening peanut genotypes for reaction to preharvest A. flavus group infection and aflatoxin contamination. Peanut Sci. 21:122-125.
39. Zambettakis, C., F. Wilyar, A. Bockelee-Morvan, and O. de Pins. 1981. Results of four years of research on resistance of groundnut varieties to Aspergillus flavus. Oleagineux 36:377-385.