Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Agronomy  /  Vol: 9 Núm: 1 Par: January (2019)  /  Artículo
ARTÍCULO
TITULO

Optimizing Nitrogen Options for Improving Nitrogen Use Efficiency of Rice under Different Water Regimes

Fazli Hameed    
Junzeng Xu    
Shah Fahad Rahim    
Qi Wei    
Anis ur Rehman Khalil and Qi Liao    

Resumen

Major challenge in rice production is to achieve the goal of enhancing both food production and fertilizer use efficiency. Rice growth simulation model, ORYZA (v3) was used in the present study to evaluate the model under continuous flooded (CF) and alternate wetting and drying (AWD) regimes with different fertilizer nitrogen (N) rates with different N splits using a historical data of past 45 years. The model satisfactorily simulated crop biomass and nitrogen uptake at both irrigation regimes and fertilizers N rates and splits. The yield differences among the years were large due to climate change, but enhanced by N rates. The response of N curves was different at both water regimes. At 0 N rate, the slope for agronomic efficiency (AE) was high which tends to decrease with increase in N rates. With the one split basal application of N, lowest yield was found with high physiological efficiencies (PE), lowest fertilizer recoveries (RE) and lowest agronomic efficiency (AE). For both water applications and fertilizer levels, high yield with high nitrogen uptake, AE, RE and partial factor productivity (PFP) were witnessed high at four split (3:3:3:1), while having low physiological efficiency. The water productivity (irrigation + rainfall) WPI+R at basal in one N split for AWD at 150 kg N ha−1 was 1.19 kg m−3 and for CF was 0.82 kg m−3, whereas for 225 kg N ha−1 WPI+R of AWD was 1.50 kg m−3 and 1.14 kg m−3 for CF. In general, AWD exhibited high WPI+R with no rice yield penalty compared to CF. Splitting with the proper amount of fertilizer N resulted in good water productivity and nitrogen efficiencies, could lead to high rice yield.

 Artículos similares

       
 
Christine Musanase, Anthony Vodacek, Damien Hanyurwimfura, Alfred Uwitonze and Innocent Kabandana    
Agriculture plays a key role in global food security. Agriculture is critical to global food security and economic development. Precision farming using machine learning (ML) and the Internet of Things (IoT) is a promising approach to increasing crop prod... ver más
Revista: Agriculture

 
Petros Vahamidis, Angeliki Stefopoulou and Vassilis Kotoulas    
Nitrogen (N) fertilisers used in barley production serve as the primary contributors to total greenhouse gas (GHG) emissions. Consequently, to lower the carbon footprint (CF) and GHG emissions, it is imperative to either reduce N fertiliser rates or enha... ver más
Revista: Agriculture

 
Suryakanta Kashyap, Rakesh Kumar, Hardev Ram, Ashwani Kumar, Nirmalendu Basak, Parvender Sheoran, Subhradip Bhatacharjee, Bisworanjita Biswal, Ghous Ali, Birendra Kumar, Kanika Bhakuni, Phool Singh Hindoriya, Birbal and Doohong Min    
Optimizing nutrient management strategies is crucial for enhancing the growth, yield, and nutritional quality of fodder maize (Zea mays) while minimizing environmental impacts. This study investigated the effects of innovative nitrogen (N) and zinc (Zn) ... ver más
Revista: Agronomy

 
Ren Hu, Zijuan Ding, Tingyu Li, Dingyue Zhang, Yingbing Tian, Yuxian Cao and Jun Hou    
Ratoon rice (RR) has been regarded as a labor-saving and beneficial production system. Nitrogen (N) surplus and reactive N losses (Nr losses) are effective environmental indicators used to evaluate the performance of N management. Few studies have assess... ver más
Revista: Agriculture

 
Yurii Pleskachiov, Sergey Voronov, Serazhutdin Kurbanov, Francess Sia Saquee and Meisam Zargar    
The need for effective nutrient management is crucial for optimizing wheat production and increasing the plant?s ability to tolerate different environmental stresses. In this study, we assessed the influence of new-generation PGRs and foliar topdressing ... ver más
Revista: Agriculture