The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Spectral Reflectance to Estimate Genetic Variation for In‐Season Biomass, Leaf Chlorophyll, and Canopy Temperature in Wheat
Abstract
Spectral indices as a selection tool in plant breeding could improve genetic gains for different important traits. The objectives of this study were to assess the potential of using spectral reflectance indices (SRI) to estimate genetic variation for in‐season biomass production, leaf chlorophyll, and canopy temperature (CT) in wheat (Triticum aestivum L.) under irrigated conditions. Three field experiments, GHIST (15 CIMMYT globally adapted historic genotypes), RILs1 (25 recombinant inbred lines [RILs]), and RILs2 (36 RILs) were conducted under irrigated conditions at the CIMMYT research station in northwest Mexico in three different years. Five SRI were evaluated to differentiate genotypes for biomass production. In general, genotypic variation for all the indices was significant. Near infrared radiation (NIR)–based indices gave the highest levels of association with biomass production and the higher associations were observed at heading and grainfilling, rather than at booting. Overall, NIR‐based indices were more consistent and differentiated biomass more effectively compared to the other indices. Indices based on ratio of reflection spectra correlated with SPAD chlorophyll values, and the association was stronger at the generative growth stages. These SRI also successfully differentiated the SPAD values at the genotypic level. The NIR‐based indices showed a strong and significant association with CT at the heading and grainfilling stages. These results demonstrate the potential of using SRI as a breeding tool to select for increased genetic gains in biomass and chlorophyll content, plus for cooler canopies.
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Cites
Red and photographic infrared linear combinations for monitoring vegetation
Tucker, C. J. (1979) · Remote Sensing of Environment · doi:10.1016/0034-4257(79)90013-0 · Cited by 11,754
A decimal code for the growth stages of cereals
ZADOKS, J. C., CHANG, T. T., & KONZAK, C. F. (1974) · Weed Research · doi:10.1111/j.1365-3180.1974.tb01084.x · Cited by 10,173
Use of a green channel in remote sensing of global vegetation from EOS-MODIS
Gitelson, A. A., Kaufman, Y. J., & Merzlyak, M. N. (1996) · Remote Sensing of Environment · doi:10.1016/s0034-4257(96)00072-7 · Cited by 3,253
Knipling, E. B. (1970) · Remote Sensing of Environment · doi:10.1016/s0034-4257(70)80021-9 · Cited by 1,314
The reflectance at the 950–970 nm region as an indicator of plant water status
Peñuelas, J., Filella, I., Biel, C., Serrano, L., & Savé, R. (1993) · International Journal of Remote Sensing · doi:10.1080/01431169308954010 · Cited by 1,151
Fischer, R. A., Rees, D., Sayre, K. D., Lu, Z. ‐., Condon, A. G., & Saavedra, A. L. (1998) · Crop Science · doi:10.2135/cropsci1998.0011183x003800060011x · Cited by 887 · cited 4×
“Wheat genotypes with higher grain yield have been demonstrated to have a cooler canopy under irrigated conditions (Fischer et al., 1998).”
BackgroundInfluentialGenetic improvements in winter wheat yields since 1900 and associated physiological changes.
Austin, R. B., Bingham, J., Blackwell, R. D., Evans, L. T., Ford, M. A., Morgan, C. L., & Taylor, M. (1980) · The Journal of Agricultural Science · doi:10.1017/s0021859600028665 · Cited by 805
Assessment of photosynthetic radiation‐use efficiency with spectral reflectance
PEÑUELAS, J., FILELLA, I., & GAMON, J. A. (1995) · New Phytologist · doi:10.1111/j.1469-8137.1995.tb03064.x · Cited by 700
Blackburn, G. A. (1998) · International Journal of Remote Sensing · doi:10.1080/014311698215919 · Cited by 685
Physiological Processes Associated with Wheat Yield Progress in the UK
Shearman, V. J., Sylvester‐Bradley, R., Scott, R. K., & Foulkes, M. J. (2005) · Crop Science · doi:10.2135/cropsci2005.0175a · Cited by 585
Cited by
Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning
Nguyen, C., Sagan, V., Maimaitiyiming, M., Maimaitijiang, M., Bhadra, S., & Kwasniewski, M. T. (2021) · Sensors · doi:10.3390/s21030742 · Cited by 281
Kyratzis, A. C., Skarlatos, D. P., Menexes, G. C., Vamvakousis, V. F., & Katsiotis, A. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.01114 · Cited by 134
Metadata
- Authors
- Babar, M. A., Reynolds, M. P., van Ginkel, M., Klatt, A. R., Raun, W. R., & Stone, M. L.
- Venue
- Crop Science
- Publisher
- Wiley
- Published
- 2006-05
- Volume
- 46
- Issue
- 3
- Pages
- 1046-1057
- ISSN
- 0011-183X (ISSN-L)
- 1435-0653
- OpenAlex
- W1967756167
- Cited by
- 275
- References
- 36
- FWCI
- 4.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- Babar, M. A., Reynolds, M. P., van Ginkel, M., Klatt, A. R., Raun, W. R., & Stone, M. L. (2006). Spectral Reflectance to Estimate Genetic Variation for In‐Season Biomass, Leaf Chlorophyll, and Canopy Temperature in Wheat. Crop Science. https://doi.org/10.2135/cropsci2005.0211
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