施氮量影响水稻产量与品质形成的关键因子解析

    Analysis of key factors in fluencing the effects of nitrogen application level on yield and quality formation in rice

    • 摘要:
      目的 探究施氮量对稻米产量和品质的综合影响,明确影响水稻产量、品质协同提升的关键因子。
      方法 .本试验在2021—2022年以粳稻‘吉玉粳’‘五优稻4号’为试验材料,设置0、150、300 kg/hm2 3个施氮水平,分析施氮量对稻米产量、产量构成因素及品质指标的影响。
      结果 施氮提升稻米蛋白质含量和产量,降低直链淀粉含量、食味值和胶稠度。适量施氮提升灌浆期籽粒腺苷二磷酸葡萄糖焦磷酸化酶(ADP glucose pyrophosphory lose,AGP)、淀粉合酶、淀粉分支酶、蔗糖合酶活性,提高籽粒总淀粉含量,提升稻米消减值和糊化温度,降低峰值黏度、最终黏度和崩解值。与不施氮相比,150 kg/hm2施氮量处理明显提高籽粒AGP、淀粉分支酶、淀粉合酶、蔗糖合酶活性,籽粒总淀粉含量平均增加18.21%,产量提升32.50%。通过主成分分析得到稻米产量品质综合指标(Grain yield and quality index,GYQI),各处理GYQI综合表现为150 kg/hm2 > 300 kg/hm2 > 0 kg/hm2,进一步通过随机森林分析得出,穗粒数、淀粉合酶活性和峰值黏度对GYQI的贡献率最大,其次为产量和谷蛋白含量。这进一步说明150 kg/hm2处理虽降低食味值,但显著提高贡献率更高的穗粒数、淀粉合酶活性和谷蛋白含量,且上述3个因子的正向贡献远超食味值下降所带来的负向影响,最终使得150 kg/hm2处理下的GYQI最高。
      结论 穗粒数、淀粉合酶活性和峰值黏度是影响GYQI的主导因子。施氮量在150 kg/hm2时,穗粒数最多,淀粉合酶活性最强,峰值黏度较高,是稻米产量与品质协同提升的最佳水平。因此,在实际生产中,应重点优化穗粒数、淀粉合酶活性及峰值黏度等关键指标,以达到产量品质协同提升。

       

      Abstract:
      Objective To investigate the comprehensive effects of nitrogen application level on rice yield and quality, and identify the key factors influencing the synergistic improvement of rice yield and quality.
      Method Using japonica rice cultivars ‘Jiyu Japonica’ and ‘Wuyou Rice No. 4’ as test materials from 2021 to 2022, three nitrogen application levels were set at 0, 150, and 300 kg/hm2. The effects of nitrogen application levels on rice yield, yield components, and quality indicators were analyzed.
      Result Nitrogen application increased grain protein content and yield, but reduced amylose content, taste value and gel consistency. Appropriate nitrogen application enhanced the activities of ADP glucose pyrophosphorylase (AGP) , starch synthase, starch branching enzyme, and sucrose synthase during the grain filling stage, increased total starch content in grains, raised setback viscosity and pasting temperature, as well as decreased peak viscosity, final viscosity and breakdown viscosity. Compared with non-nitrogen treatment, the 150 kg/hm2 nitrogen application level treatment obviously increased the activities of AGP, starch branching enzyme, starch synthase and sucrose synthase, raised total starch content by an average of 18.21%, and increased yield by 32.50%. A comprehensive grain yield and quality index (GYQI) was derived through principal component analysis, with the treatments ranked as 150 kg/hm2 > 300 kg/hm2 > 0 kg/hm2 in terms of GYQI. Further random forest analysis indicated that grains per panicle, starch synthase activity, and peak viscosity contributed the most to GYQI, followed by yield and glutelin content. Although the 150 kg/hm2 treatment reduced taste value, it significantly increased grains per panicle, starch synthase activity, and glutelin content, which had higher contribution weights. The positive effects of these three factors far outweighed the negative impact of taste value reduction, ultimately resulting in the highest GYQI under the 150 kg/hm2 condition.
      Conclusion Grains per panicle, starch synthase activity, and peak viscosity are the dominant factors influencing GYQI. A nitrogen application rate of 150 kg/hm2 achieves the maximum grains per panicle, the strongest starch synthase activity, and a relatively high peak viscosity, and is identified as the optimal level for the synergistic improvement of rice yield and quality. Therefore, in practical production, key indicators such as grains per panicle, starch synthase activity, and peak viscosity should be prioritized for optimization to achieve coordinated enhancement of both yield and quality.

       

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