The Potential of Using Spectral Reflectance Indices to Estimate Yield in Wheat Grown Under Reduced Irrigation

By Muhammad Ali Babar, M. Ginkel, A. Klatt, B. Prasad, Matthew P Reynolds. Euphytica, 2006

99 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fe347c9f9e8984ca9af5827ef688a3652fe3415a

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In Plant Science

Citations in the corpus

Marker-Assisted Selection in Plant Breeding: From Publications to Practice (2008, background): “Much progress has already been made in this area which is relevant to drought tolerant crops, for example, in maize (Edmeades et al., 2000; Bänziger et al., 2006) and wheat (Babar et al., 2006a, 2006b).”
Genetic analysis of indirect selection for winter wheat grain yield using spectral reflectance indices (2007, background): “Ball and Konzak (1993) demonstrated the effi ciency of normalized diff ence vegetation index in selecting higher-yielding genotypes under water nonlimiting conditions using two readings at the grain-fi lling stage, while Babar et al. (2006b) reported the higher effi ciency of the near-infrared-bas”
High-throughput phenotyping early plant vigour of winter wheat (2014, background): “, 2011) or grain yield (Schmidhalter et al., 2003; Teal et al., 2006; Babar et al., 2006) of common crops.”
Breeding for Yield Potential and Stress Adaptation in Cereals (2008, background): “In addition, other physiological characteristics of plants, such as canopy architecture, plant water status, nitrogen concentration and even photosynthetic efficiency are captured in the spectra (Araus et al., 2001; Aparicio et al., 2000; Tambussi et al., 2002; Babar et al., 2006).”
Field-based phenomics for plant genetics research (2012, background): “However, to date, most field-based phenotyping systems have focused on rapid assessment of individual suites of traits such as vegetation indices (Babar et al., 2006a,b) or root morphology (Trachsel et al., 2011).”