macgran_ij:一种分析小麦籽粒尺寸和颜色的有效方法

IF 0.5 4区 农林科学 Q4 AGRICULTURE, MULTIDISCIPLINARY
C. P. Sauceda-Acosta, V. A. González-Hernández, H. Villaseñor-Mir, G. Lugo-García, L. Partida-Ruvalcaba
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引用次数: 1

摘要

小麦籽粒的尺寸、形状和颜色在植物育种中很重要,尽管它们的人工测量既困难又耗时。虽然使用特定软件的数字图像分析(DIA)确实使它变得更容易,但有些是半自动的,不包括颜色,并且需要对单个颗粒进行数字化。本研究的目的是比较macgrani - j与SmartGrain、GrainScan和手动卡尺测量的精密度、准确度和效率。采用macgrani - j软件对硬粒小麦(Triticum durum Desf.)和面包小麦(Triticum aestivum L.)籽粒的形态特征进行了测量,包括颜色(RGB和CIELab颜色空间)、大小(mm2)、侧长(LLG, mm)、腹长(VLG, mm)、侧宽(LWG, mm)和腹宽(VWG, mm)、周长(mm)和圆度。用数字卡尺测量长度、LWG和VWG。记录每种方法所用的时间。两种方法的尺寸、LLG、VLG和VWG值相同,但游标法测量的LWG值存在差异(p≤0.01),且准确度和精密度较低。手工获取的VWG在macgrani - j、SmartGrain和GrainScan上的R2分别为0.92、0.91和0.89 (p≤0.01)。macgran_ij和GrainScan对小麦籽粒的腹侧色红差异较大;面包小麦籽粒侧面红、绿、蓝呈显著差异(p≤0.05)。CIELab色的DIA需要11.57 s, RGB的DIA需要7.25 s (p≤0.01)。人工测定50粒小麦所需时间为1528.07 s,而SmartGrain、macgrani和GrainScan分别为101.84 s、45.4 s和54.11 s (H = 36.59, p≤0.01)。MacGran-IJ是一种自动化、简单、高效的方法,用于使用数字化图像精确测量小麦颗粒的大小、长度和宽度
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MACGRAN-IJ: AN EFFICIENT METHOD TO ANALYZE DIMENSIONS AND COLOR OF WHEAT GRAINS
The dimensions, shape, and color of wheat grain are important in plant breeding, although their manual measurement is difficult and time-consuming. While it is true that digital image analysis (DIA) with specific software has made it easier, some are semiautomatic, exclude color, and require the digitization of individual grains. The goal of this study was to compare the precision, accuracy, and efficiency of MacGran-IJ versus SmartGrain, GrainScan, and manual caliper measurement. The morphological characteristics of durum wheat (Triticum durum Desf.) and bread wheat (Triticum aestivum L.) grains were measured using DIA with MacGran-IJ, including color (in RGB and CIELab color spaces), size (mm2), lateral length (LLG, mm), ventral length (VLG, mm), lateral (LWG, mm) and ventral (VWG, mm) width, perimeter (mm), and circularity. Length, LWG, and VWG were measured with a digital caliper. The time (s) taken in each method was recorded. Size, LLG, VLG, and VWG were the same between methods for both species, but the LWG measurement obtained with vernier showed differences between the three programs (p ≤ 0.01), as well as low accuracy and precision. VWG obtained manually had R2 values of 0.92, 0.91, and 0.89 (p ≤ 0.01) for MacGran-IJ, SmartGrain, and GrainScan, respectively. The ventral and lateral color red of wheat grain differed between MacGran-IJ and GrainScan; the lateral part of the bread wheat grain showed differences for red, green, and blue (p ≤ 0.05). DIA in CIELab color required 11.57 s, and in RGB it needed 7.25 s (p ≤ 0.01). Manual measurement of 50 wheat grains required 1528.07 s, whereas SmartGrain took 101.84 s, MacGran-IJ 45.4 s, and GrainScan 54.11 s (H = 36.59, p ≤ 0.01). MacGran-IJ is an automated, simple, and efficient method for accurately measuring the size, length, and width of wheat grains using digitized images
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来源期刊
Agrociencia
Agrociencia 农林科学-农业综合
CiteScore
0.50
自引率
33.30%
发文量
51
审稿时长
18-36 weeks
期刊介绍: AGROCIENCIA is a scientific journal created and sponsored by the Colegio de Postgraduados. Its main objective is the publication and diffusion of agricultural, animal and forestry sciences research results from mexican and foreign scientists. All contributions are peer reviewed. Starting in the year 2000, AGROCIENCIA became a bimonthly and fully bilingual journal (Spanish and English versions in the same issue). Since 2007 appears every month and a half (eight issues per year). In addition to the printed issues, the full content is available in electronic format.
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