Grain yield and its components study and their association with normalized difference vegetation index (NDVI) under terminal water deficit and well-irrigated conditions in wheat (Triticum durum Desf. and Triticum aestivum L.)

Abstract

Six genotype of Triticum aestivum L. in 1991 and one genotype of Triticum durum Desf. and three of T. aestivum L. in 1992 were studied under different water regimes: full irrigation (R1), mild water stress (R3) and severe water stress (R2) at Magneraud (France). Traits evaluated were grain yield and its components, stress susceptibility index (SSI) and normalized difference vegetation index (NDVI). The analysis of variance revealed significant differences between regimes and among the cultivars for all traits except between regimes for thousand grains weight in 1991. The regime × variety interaction was significant for grain yield, thousand grains weight and NDVI in 1992 and for grain yield in 1991. For all traits, durum wheat (T. durum Desf.) has higher reduction in the two water stress than the common wheat (T. aestivum L.). Correlations studies revealed that grain yield, grains number/m², thousand grains weight and NDVI were associated with each other except for correlations between thousand grains weight on one hand and grain yield (1992) and grains number/m² (1991) on the other hand. 51.55, 27.88, 4.12% (1991) and 75, 43 and 20.2% (1992) of grain yield, grains/m² and thousand grains weight variability, respectively were explained by means NDVI variability. The grain yield and grains number/m² could be predicted using a single regression with NDVI.

Influence of water deficit on photosynthetic activity, dry matter partitioning and grain yield of different durum and bread wheat genotypes

“…Bread wheat genotypes were superior to durum wheat genotypes for their yield and tolerance to drought stress. Our result is in agreement with result of Mekliche et al (2015).…”

Relationships between Some Spectral Traits and Grain Yield in Bread Wheat under Rainfed Conditions

“…These results show that NDVI can use to estimate the grain yield. Similar results were reported by Roy et al (2021), Marti et al (2007), Sultana et al (2014), Morgounov et al (2014), Mekliche et al (2015).…”

“…Since the NDVI is an indirect measurement of biomass, this positive regression can be associated with plant density per unit area which is one of the yield components. Mekliche et al (2015) suggested that the grain yield could be predicted using a single regression with NDVI. In addition to grain yield, Hazratkulova et al (2012) also stated that NDVI can be used for identifying physiological superior.…”

Remote and Proximal Sensing Applications for Durum Wheat Nutritional Status Detection in Mediterranean Area

“…Studies regarding the effect of CA practices and several nitrogen fertilization levels on chlorophyll content and nitrogen status of durum wheat in relation to vegetation indices are lacking. For example, some studies showed that the yield estimated from the normalized difference vegetation index (NDVI) had a strong relationship with grain yield in wheat [35,36] in addition, NDVI has also been used to estimate crop growth status based on the different patterns of reflection of green organs and soil in wheat and other cereals [37][38][39][40].…”