Seed yield limitations of coriander (Coriandrum sativum L.) based on plant structure analysis

IF 4.8 Q1 AGRICULTURE, MULTIDISCIPLINARY Journal of Agriculture and Food Research Pub Date : 2024-07-25 DOI:10.1016/j.jafr.2024.101321
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Abstract

The present study describes the dependencies of key productivity and growth indicators of coriander plants on sowing rate and fertilization parameters. The aim of the research was to establish the patterns of coriander yield formation through the prism of plant structure considering modifications in nutrient conditions and sowing rates. Graphical models and correlation matrices were developed for three coriander varieties with similar morphological features (Oksanit, Nectar, Caribe). Data from field studies conducted in 2013–2015 in the Forest-Steppe zone of Ukraine serve as the basis for model construction. Two variable technological elements were studied (sowing rate of seeds; fertilization system) to determine the dependencies of biometric indicators for each variety. 3D graphical models of dependency for structural elements showed advantages over linear models. Seed yield of coriander in the study ranged from 1.24 t/ha with the lowest sowing rate to 1.91 t/ha with a sowing rate of 2.5 million seeds/ha. Maximum essential oil yield for cv. Oksanit was 46.4 kg/ha with a seed yield of 2.16 tons/ha. Cv. Nectar forms 45.6 kg/ha of essential oil with a seed yield of 2.01 tons/ha, and cv. Caribe forms 40.6 kg/ha with a seed yield of 2.06 tons/ha. Absence of statistically significant correlation between seed yield and essential oil output points to the peculiarities of the experiment. Research factors have opposing effects on the formation of essential oil, and consequently, its yield from the seed yield. The value of the results lies in the potential application of this approach in practice and the implementation of findings in the humid zone. The development of productivity models (like 3D plots) across a range of multiple factors simultaneously, based on crop structure indicators, allows for the prediction of target crop parameters, enabling the efficient utilization of available resources.

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芫荽(Coriandrum sativum L.)种子产量的局限性)基于植物结构分析
本研究描述了芫荽植物的主要生产力和生长指标与播种率和施肥参数的关系。研究的目的是在考虑营养条件和播种率变化的情况下,通过植物结构棱镜建立芫荽产量形成的模式。针对形态特征相似的三个芫荽品种(Oksanit、Nectar、Caribe)建立了图形模型和相关矩阵。模型的构建以 2013-2015 年在乌克兰森林-草原地区进行的实地研究数据为基础。研究了两个可变技术要素(种子播种率;施肥系统),以确定每个品种生物特征指标的依赖关系。与线性模型相比,三维结构元素依赖关系图形模型显示出优势。研究中芫荽的种子产量从播种率最低时的 1.24 吨/公顷到播种率为 250 万粒/公顷时的 1.91 吨/公顷不等。Oksanit 品种的精油产量最高,为 46.4 吨/公顷。Oksanit 的最高精油产量为 46.4 公斤/公顷,种子产量为 2.16 吨/公顷。品种Nectar 的精油产量为 45.6 公斤/公顷,种子产量为 2.01 吨/公顷。Caribe 的精油产量为 40.6 公斤/公顷,种子产量为 2.06 吨/公顷。种子产量和精油产量之间没有统计学意义上的显著相关性,这说明了实验的特殊性。研究因素对精油的形成有相反的影响,因此,精油的产量与种子产量也有相反的影响。研究结果的价值在于这种方法在实践中的潜在应用以及在潮湿地区的实施。以作物结构指标为基础,同时跨多种因素开发生产力模型(如三维地块),可以预测作物的目标参数,从而有效利用现有资源。
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来源期刊
CiteScore
5.40
自引率
2.60%
发文量
193
审稿时长
69 days
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