scholarly journals Potential Use of Spectral Reflectance Indices as a Selection Tool for Grain Yield in Winter Wheat under Great Plains Conditions

Crop Science ◽  
2007 ◽  
Vol 47 (4) ◽  
pp. 1426-1440 ◽  
Author(s):  
B. Prasad ◽  
B. F. Carver ◽  
M. L. Stone ◽  
M. A. Babar ◽  
W. R. Raun ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Great Plains ◽  
Spectral Reflectance ◽  
Selection Tool ◽  
Reflectance Indices ◽  
Potential Use ◽  
Spectral Reflectance Indices

Association of biomass production and canopy spectral reflectance indices in winter wheat

2009 ◽  
Vol 89 (3) ◽  
pp. 485-496 ◽  
Author(s):  
B. Prasad ◽  
M. A. Babar ◽  
B. F. Carver ◽  
W. R. Raun ◽  
A. R. Klatt
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Water Content ◽  
Biomass Production ◽  
Spectral Reflectance ◽  
Water Based ◽  
Canopy Spectral Reflectance ◽  
Reflectance Indices ◽  
Canopy Water ◽  
Spectral Reflectance Indices

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 F4:6 and F4:7 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. Key words: Wheat; biomass; grain yield; spectral reflectance index

scholarly journals Genetic Analysis of Indirect Selection for Winter Wheat Grain Yield Using Spectral Reflectance Indices

Crop Science ◽  
2007 ◽  
Vol 47 (4) ◽  
pp. 1416-1425 ◽  
Author(s):  
B. Prasad ◽  
B. F. Carver ◽  
M. L. Stone ◽  
M. A. Babar ◽  
W. R. Raun ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Winter Wheat ◽  
Grain Yield ◽  
Spectral Reflectance ◽  
Indirect Selection ◽  
Wheat Grain ◽  
Selection For ◽  
Reflectance Indices ◽  
Spectral Reflectance Indices

Potential of the existing and novel spectral reflectance indices for estimating the leaf water status and grain yield of spring wheat exposed to different irrigation rates

2019 ◽  
Vol 217 ◽  
pp. 356-373 ◽  
Author(s):  
Salah E. El-Hendawy ◽  
Nasser A. Al-Suhaibani ◽  
Salah Elsayed ◽  
Wael M. Hassan ◽  
Yaser Hassan Dewir ◽  
...  
Keyword(s):  
Grain Yield ◽  
Spring Wheat ◽  
Spectral Reflectance ◽  
Water Status ◽  
Leaf Water ◽  
Leaf Water Status ◽  
Reflectance Indices ◽  
Spectral Reflectance Indices

Spectral Reflectance Indices as a Potential Indirect Selection Criteria for Wheat Yield under Irrigation

Crop Science ◽  
2006 ◽  
Vol 46 (2) ◽  
pp. 578-588 ◽  
Author(s):  
M. A. Babar ◽  
M. P. Reynolds ◽  
M. van Ginkel ◽  
A. R. Klatt ◽  
W. R. Raun ◽  
...  
Keyword(s):  
Spectral Reflectance ◽  
Selection Criteria ◽  
Wheat Yield ◽  
Indirect Selection ◽  
Reflectance Indices ◽  
Spectral Reflectance Indices
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