Crop depends on its canopy to intercept solar radiation to drive both assimilation and water, nutrient absorption for its growth. Field experiments, involving three sowing time and three sowing rate, were conducted at Luancheng Station to investigate the effects of canopy size and development on crop growth and radiation use efficiency (RUE) of winter wheat during 2009/2010 and 2010/2011 gr...

models can be used to predict crop yield and inputs levels such as fertilizer, in order to conduct programming for the management of probable future crisis. in this study, based on the model, the effect of nitrogen fertilizer on dry matter partitioning in shoot and root of sugar beet was predicted. for model construction, data were collected from an experiment conducted in karaj city in 2001. i...

Sugar beet varieties differ greatly in their canopy architecture and can be classified into types according to petiole angle. Leaf angle is one of the key factors which determines efficiency with plant canopies utilise incident absorbed light for photosynthesis. yield strongly correlated accumulated intercepted but impact on interception, biomass accumulation sugar has not been explored. This s...

Plant growth regulators (PGRs) are a common and widely used practice in cotton production for controlling plant growth, increasing yield, and improving management efficiency. Most of the PGRs used have an effect on plant growth, both vegetative and reproductive, and dry matter partitioning. However, there have been no reports of effects of PGRs on radiation use efficiency (RUE). It is logical t...

and Amthor (1999) suggested that the RUE era in crop modeling should be closed. Accurate measurement of crop growth and radiation use efficiency A number of factors contribute to the variation in (RUE) under optimal growth conditions is required to predict plant reported estimates of RUE (Sinclair and Muchow, 1999). dry matter accumulation and grain yield near the genetic growth potential. Rese...

Yield variability in cotton (Gossypium hirsutum L.) from year to year in different environments (geographical locations) is a major production problem for farmers (Oosterhuis, 00 ). Higher yields have been recorded in the drier environment of California, compared to the more humid environment of Arkansas. However, the effect of environmental factors, such as temperature, relative humidity, and ...