Lentil is one of the cool season grain legume and vital source of nutrition worldwide. The intense climate change over the past decades result in wrong calculation of yield in lentil (Porch et al., 2013). The direct selection of yield is difficult because of lower heritability of this trait which is resulting from large genotype x location or genotype x season interaction ((Jackson, 1996). Moreover, lentil is also susceptible to temperature and photoperiod prior to flowering and also during flowering and pod formation. In order to use emerging breeding strategies and genetic studies, various alternative measurements have been introduced as throughput measurements of yield-positive and stress-responsive secondary traits such as vegetative greenness, leaf-area index, photosynthetic pigment composition, and plant hydration status (Cossani and Reynolds 2012; Guttierez et al. 2010; Lopes and Reynolds 2012; Reynolds et al. 2007).
Morphological and physiological selection criteria is used to differentiate grain yield termed as an indirect breeding method. Indirect breeding method considers secondary traits. Secondary traits provide further plant characters information which explains how yield change. One of the secondary traits plant senescence phase is a highly systematized and well-regulated process. In case of early senescence, a decline of photosynthetic capacity is occurred when the stomatal enzymes (such as Rubisco) are degraded. Normally, the upper leaves of the canopy senesce from mid pod filling stage but senescence in lower leaves can start before flowering. Prolonged green leaf area duration through delayed leaf senescence (‘stay-green’) allows photosynthetic activity to continue and enables the plant to continue producing assimilates. Reflectance features count on the absorption of light at specific wavelengths, and are indicators of plant traits.
The amount of energy reflected from a plant in the visible (VIS) and near infrared (NIR) portion of the spectrum has been correlated to many crop characteristics including biophysical and biochemical properties; chlorophyll concentration, biomass, height, LAI and canopy density (Elmetwalli, 2008). The Normalized Difference Vegetation Index (NDVI) is one of the important parameters to count on which correlates with many variables such as crop nutrient efficiency, final yield in small grains and long-term water stress. NDVI is also associated with some measure of canopy density or total biomass though NDVI values change over the growing season (Elmetwalli, 2008). Penualas et al. (1993, 1994, 1996 and 1997) found that the reflectance in the 950-970 nm region is as a pointer of plant water content.
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