Abstract

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.

Highlights

  • Rice (Oryza sativa L.) serves as a key nutritional crop and tends to feed almost worlds half population [1]

  • AWD exhibited high WPI+R with no rice yield penalty compared to continuous flooded (CF)

  • The RMSEn for the biomass partitioning was good as compared to nitrogen uptake especially for leaves, it may be because of the high RMSEn value for leaf area index (LAI), which is reported in reference [35,55] which might be due to the insufficient precise evidence regarding soil N indigenous supply and soil organic matter in different layers of soil

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Summary

Introduction

Rice (Oryza sativa L.) serves as a key nutritional crop and tends to feed almost worlds half population [1]. In the following three decades, overall worldwide utilization of rice is expected by another 116 million tons increase [2]. In order to face the increasing demand for food and to fulfill the needs of a growing population, the production of rice must be enhanced up to 70% by [4]. Due to environmental deprivation and the lack of labors, the productivity of transplanted rice became susceptible [5,6]. To achieve the potential of high rice cultivar yields, advancement in crop management strategies are essential, which is independent of immense agronomic inputs

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