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A leaf area-based non-destructive approach to predict rice productivity
Agronomy Journal ( IF 2.0 ) Pub Date : 2021-07-22 , DOI: 10.1002/agj2.20813
Yoshihiro Hirooka 1 , Koki Homma 2 , Tatsuhiko Shiraiwa 3
Affiliation  

Leaf canopy dynamicsare associated with crop productivity. Frequent, non-destructive measurements of the leaf canopy using a plant canopy analyzer, followed by parameterization using a mathematical model, enabled the quantification of leaf area growth characteristics. However, an understanding of the rice (Oryza sativa L.) cultivar effect under various field conditions is limited. Therefore, this study aimed to compare leaf area growth parameters with rice productivity and analyze the cultivar differences in these relationships. In a 3-yr field experiment, six rice cultivars were grown under environments with different nutrient provisions. Two leaf area growth parameters (maximum leaf area index growth rate and maximum interception rate) were determined from the measurements obtained using a plant canopy analyzer. They were compared with five crop growth parameters for rice productivity (yield, total dry weight, crop growth rate, nitrogen uptake rate, and radiation use efficiency). A logarithmic relationship exists between leaf area growth and crop growth parameters, which varied among rice cultivars. In addition, the leaf nitrogen content at the heading stage was associated with the cultivar variations. After considering the cultivar differences, yield prediction accuracy was improved using leaf area growth parameters (from R2 = .428 to R2 = .752). This indicates that these parameters are considered efficient indicators of rice productivity with regard to cultivar differences and leaf nitrogen content. The evaluation method using the parameters calculated with non-destructive measurements could be a standard for crop monitoring in field experiments and will be useful for estimating crop productivity.

中文翻译:

基于叶面积的非破坏性水稻产量预测方法

叶冠动态与作物生产力有关。使用植物冠层分析仪对叶冠进行频繁、非破坏性测量,然后使用数学模型进行参数化,从而能够量化叶面积生长特征。然而,对水稻的了解(Oryza sativaL.) 不同田间条件下的栽培品种效应是有限的。因此,本研究旨在比较叶面积生长参数与水稻生产力,并分析这些关系中的品种差异。在为期 3 年的田间试验中,六个水稻品种在具有不同营养供应的环境下生长。从使用植物冠层分析仪获得的测量结果确定两个叶面积生长参数(最大叶面积指数增长率和最大截留率)。将它们与水稻生产力的五个作物生长参数(产量、总干重、作物生长率、氮吸收率和辐射利用效率)进行了比较。叶面积生长和作物生长参数之间存在对数关系,不同水稻品种之间存在差异。此外,抽穗期叶片含氮量与品种变异有关。在考虑品种差异后,使用叶面积生长参数(来自R 2  = .428 至R 2  = .752)。这表明这些参数被认为是水稻在品种差异和叶片氮含量方面生产力的有效指标。使用非破坏性测量计算的参数的评估方法可以成为田间试验中作物监测的标准,并将有助于估计作物生产力。
更新日期:2021-07-22
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