基于生物量的油菜(Brassica napus L.)侧根形态参数模型

IF 4 2区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Wei-xin Zhang, Qian Wu, Chuan-liang Sun, Dao-kuo Ge, Jing Cao, Wan-jie Liang, Ying-jun Yin, Hong Li, Hong-xin Cao, Wen-yu Zhang, Bai-ming Li, Yu-kai Xin
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引用次数: 0

摘要

侧根(包括不定根)是油菜根系的主要组成部分,具有支撑、吸收和合成功能,其形态参数直接影响植株的地上部生长和产量。根系生物量作为侧根生长的物质基础,可作为植物表型与其生理过程之间的联系,也可用于增强根系三维生长模型的机制和准确性。为了量化油菜侧根形态指标与相应器官生物量之间的关系,我们选用 NY 22(常规)和 NZ 1818(杂交)两个栽培品种,在 2016-2019 年期间进行了栽培品种和施肥圆筒管试验,施肥水平有两种,分别为不施肥和 180 kg N ha-1 肥料。测定了整个生长期的侧根生物量和形态参数。通过分析侧根形态指标与其相应生物量之间的定量关系,建立了基于生物量的侧根形态参数模型,并用独立的实验数据对描述性模型进行了验证。结果表明,侧根形态参数的模拟值与观测值的相关性(r)均大于 0.9,显著水平为 p <0.001。侧根长度(LLR)、侧根平均直径(ADLR)、侧根表面积(SALR)和侧根体积(VLR)的模拟值与观测值的平均绝对差值(da)分别为-30.408 cm、-0.003 mm、12.902 cm2 和 0.039 cm3。RMSE 值分别为 175.183 厘米、0.010 毫米、59.710 平方厘米和 1.513 立方厘米。LLR 和 VLR 的 da 与平均观测值之比(dap)均小于 5%,ADLR 和 SALR 均为 <6%。本文建立的模型在预测油菜侧根形态参数方面具有良好的性能和可靠性。该研究提供了利用相应有机生物量将油菜生长模型与形态模型联系起来的机理方法,为建立基于生物量的油菜根系三维形态模型奠定了良好的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Biomass-based lateral root morphological parameter models for rapeseed (Brassica napus L.)

Biomass-based lateral root morphological parameter models for rapeseed (Brassica napus L.)

Lateral roots, including adventitious roots, are the main component of rapeseed roots with support, absorb, and synthesis functions and their morphological parameters directly affecting the plant's aboveground growth and yield. Root biomass, as a material base for lateral root growth, can be used as a link between plant phenotypes and their physiological processes, as well as to enhance root 3D growth model mechanisms and accuracy. To quantify the relationships between lateral root morphological indices and the corresponding organ biomass for rapeseed, we used two cultivars, NY 22 (conventional) and NZ 1818 (hybrid), and conducted cultivar and fertilizing cylindrical tube experiments during the 2016–2019, with two fertilizer levels, no fertilizer, and 180 kg N ha−1 fertilizer. The lateral root biomass and morphological parameters were determined during the whole growth period. The biomass-based lateral root morphological parameter models were developed by analyzing the quantitative relationship between the lateral root morphological indices and their corresponding biomass, and the descriptive models were verified with independent experimental data. The results showed that the correlation (r) of simulated and observed values for the lateral root morphological parameters are all greater than 0.9 with significant levels at p < 0.001. The absolute values of the average absolute difference (da) of simulated and observed values for the lateral root length (LLR), lateral root average diameter (ADLR), lateral root surface area (SALR), and lateral root volume (VLR) are −30.408 cm, −0.003 mm, 12.902 cm2, and 0.039 cm3, respectively. The RMSE values are 175.183 cm, 0.010 mm, 59.710 cm2, and 1.513 cm3, respectively. The ratio of da to the average observed values (dap) for the LLR and VLR are all less than 5%, and the ADLR and SALR are all <6%. The models developed in this paper have good performance and reliability for predicting lateral root morphological parameters of rapeseed. The study provides a mechanistic method for linking the rapeseed growth model with the morphological model using corresponding organic biomass and laying a good foundation for establishing a 3D morphological model for rapeseed root system based on biomass.

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来源期刊
Food and Energy Security
Food and Energy Security Energy-Renewable Energy, Sustainability and the Environment
CiteScore
9.30
自引率
4.00%
发文量
76
审稿时长
19 weeks
期刊介绍: Food and Energy Security seeks to publish high quality and high impact original research on agricultural crop and forest productivity to improve food and energy security. It actively seeks submissions from emerging countries with expanding agricultural research communities. Papers from China, other parts of Asia, India and South America are particularly welcome. The Editorial Board, headed by Editor-in-Chief Professor Martin Parry, is determined to make FES the leading publication in its sector and will be aiming for a top-ranking impact factor. Primary research articles should report hypothesis driven investigations that provide new insights into mechanisms and processes that determine productivity and properties for exploitation. Review articles are welcome but they must be critical in approach and provide particularly novel and far reaching insights. Food and Energy Security offers authors a forum for the discussion of the most important advances in this field and promotes an integrative approach of scientific disciplines. Papers must contribute substantially to the advancement of knowledge. Examples of areas covered in Food and Energy Security include: • Agronomy • Biotechnological Approaches • Breeding & Genetics • Climate Change • Quality and Composition • Food Crops and Bioenergy Feedstocks • Developmental, Physiology and Biochemistry • Functional Genomics • Molecular Biology • Pest and Disease Management • Post Harvest Biology • Soil Science • Systems Biology
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