Main Article Content
The effects of nitrogen (N) on crop yields have historically been assessed with field trials, but selection and use of the best sources and optimal timing N applications have a significant role in realizing the maximum potential of oilseeds quality and quantity. This study was conducted to determine the combine effects of N sources [ammonium nitrate (AN), ammonium sulphate (AS), sulphur coated urea (SCU), and urea (U)] and split N fertilisation [(1/4,3/4,0), (1/3,1/3,1/3), (1/2,1/2,0), and (1/3,2/3,0)] on safflower (Carthamus tinctorius L.) some growth characters, yield and seed quality, and N use efficiency based on a split plot design with three replications at the experimental research station, Shiraz University in 2015 and 2016. The highest safflower dry matter (5140.93 kg ha–1), seed yield (3303.52 kg ha–1) and protein yield (694.95 kg ha–1) were achieved with the application of AN fertiliser in a split pattern of 1/2,1/2,0 (applying half of the N at sowing time and the rest at stem elongation), while the highest oil yield (753.09 kg ha– 1) was observed by U fertiliser and similar split pattern. Applying AN fertiliser and split patterns of 1/3,2/3,0 (applying one third of the N at sowing and two thirds of the N at stem elongation) and 1/4,3/4,0 (applying one quarter of the N at sowing and three quarters at stem elongation) maximised safflower N uptake efficiency (NUpE) (0.78 kg kg–1). However, the highest N utilisation efficiency (NUtE) (43.70 kg kg–1) was obtained when AN fertiliser in a split pattern of 1/2,1/2,0 was applied. On the contrary, applying AS and SCU fertilisers was less effective on safflower performance by all split patterns. It is concluded that applying AN fertiliser in a split pattern of 1/3,2/3,0 and or U fertiliser in a split pattern of 1/2,1/2,0 not only enhanced safflower growth, yield and seed quality improved, but also increased the N use efficiency of safflower.
Downloads month by month
PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.