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首页> 外文期刊>Italian Journal of Agronomy >Large scale assessment of the production process and rice yield gap analysis by comparative performance analysis and boundary-line analysis methods
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Large scale assessment of the production process and rice yield gap analysis by comparative performance analysis and boundary-line analysis methods

机译：通过比较绩效分析和边界线分析方法对生产过程和水稻产量差距分析的大规模评估

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To reduce the yield gap, specifying yield constraints in a particular area is necessary. A complete yield gap assessment method must provide information regarding potential yield, actual yield, and causes of the gap and their importance. Therefore, documenting the production process to explain crop management factors in each area is very important. The objective of the study was to perform a rice yield gap analysis by using comparative performance analysis (CPA) and boundary-line analysis (BLA). Datawere gathered from about 100 paddy fields in Neka, eastern Mazandaran province, one of the major rice producing regions in Iran, in 2015 and 2016. All agricultural practices from nursery preparation to harvest have been recorded for improved rice cultivars. CPA focuses on the ability to estimate potential yield and the reason for a yield gap. Boundary lines were fitted to the edge of the data cloud of crop yield versus management variables in data from paddy fields monitoring. The documenting analysisshows that the range of paddy yield in 100 fields varied from 6100 to 8200 kg ha~(-1). Potential yields were 9241 kg ha~(-1) for CPA method, and 7999 kg ha~(-1) for BLA method. Furthermore, yield gap predicted 2047 kg ha~(-1) for CPA method and 874 kg ha~(-1) for BLA method. In BLA, the average relative yield and relative yield gap of the 13 investigated variables were 89.75% and 10.25% respectively. These results show the importance of each management factor in yield gap. It was concluded that CPA andBLA as applied in thestudy is a cheap and simple method that, without the need for expensive experimentation, is able to detect yield gap and its causes in a district. From these results, it can be said that the calculated yield gap is close to the definition given for the utilised yield gap and shows the difference between the actual yield and attainable yield in relation to the environmental conditions of the region.
机译：为了降低产量差距，需要在特定区域中指定产量约束。完整的产量差距评估方法必须提供有关差距，实际产量和差距的原因及其重要性的信息。因此，记录生产过程以解释每个区域的作物管理因素非常重要。该研究的目的是通过使用比较性能分析（CPA）和边界线分析（BLA）进行水稻产量差距分析。 DataWere于2015年和2016年收集了Mazandaran省东部的大约100个稻田田纳卡省的稻田，2015年和2016年。幼儿园对收获的所有农业措施都被记录为改善水稻品种。 CPA专注于估计潜在产量的能力和产量差距的原因。边界线拟合到稻田监测中数据中作物产量与管理变量的数据云的边缘。文档分析了100个字段中的水稻产量范围从6100到8200 kg ha〜（-1）。用于CPA方法的潜在产率为9241千克〜（-1），BLA法为7999千克HA〜（-1）。此外，对于BLA法，CPA方法的产量间隙预测2047kg HA〜（-1）和874kg ha〜（-1）。在BLA中，13种研究变量的平均相对产量和相对屈服差距分别为89.75％和10.25％。这些结果表明每个管理因素在产量差距中的重要性。结论是，CPA和Bla以TheStudy应用是一种便宜和简单的方法，而无需昂贵的实验，能够检测到地区的产量差距及其原因。从这些结果中，可以说，计算的屈服间隙接近所用屈服间隙的定义，并显示出与该区域环境条件相关的实际产量和可达到的产率之间的差异。

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