期刊
CANADIAN JOURNAL OF PLANT SCIENCE
卷 89, 期 3, 页码 485-496出版社
CANADIAN SCIENCE PUBLISHING
DOI: 10.4141/CJPS08137
关键词
Wheat; biomass; grain yield; spectral reflectance index
资金
- Oklahoma Agricultural Experiment Station, Oklahoma Wheat Commission
- Oklahoma Wheat Research Foundation
Prasad, B., Babar, M. A., Carver, B. F., Raun, W. R. and Klatt, A. R. 2009. Association of biomass production and canopy spectral reflectance indices in winter wheat. Can. J. Plant Sci. 89: 485-496. Increased biomass production could be an important criterion for future grain yield improvement in wheat (Triticum aestivum L.). Quick assessment of genetic variations for biomass production may become a useful tool for wheat breeders. The potential Of using canopy spectral reflectance indices (SRI) to assess genetic variation for biomass production in winter wheat was evaluated. Three experiments were conducted for 2 yr (2003-2004 and 2004-2005) at Oklahoma State University, Stillwater, OK. The first experiment consisted of 25 winter wheat cultivars, and the other two experiments contained two sets of 25 F-4:6 and F-4:7 recombinant inbred lines from two crosses developed by breeding programs in the great plains of the United States of America. Three groups of SRI (vegetation-based, pigment-based, and water-based) were tested for their ability to assess biomass production at three growth stages (booting, heading, and grainfilling). The water index and the normalized water indices gave stronger genetic correlations (P <0.01) and linear relationship for biomass production compared with the vegetation-based and pigment-based indices. The strong association of water-based indices with biomass was related to the canopy water content of the genotypes. Canopy water content was significantly (P<0.05) correlated with biomass production. A strong positive association (P <0.05) of grain yield and dry biomass was observed at the heading and grainfilling stages. Our study demonstrated the potential of using water-based SRI as a breeding tool to estimate genetic variability and identify genotypes with higher biomass production, and could eventually help to achieve higher grain yield in winter wheat.
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