Determination of soybean routine quality parameters using near‐infrared spectroscopy

ZhenYing, Zhu; Chen, Shangbing; Wu, Xueyou; Xing, Changrui; Yuan, Jiugang

doi:10.1002/fsn3.652

Cited by 37 publications

(35 citation statements)

References 39 publications

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“…In the present experiment, a NIRS DS2500 grain analyser was used to select clean, single, T 2 , T 3 generation-positive, mature seeds, which were placed in a measuring cup as the seed volumes need to be equal. The bottom of the cup and the edge of the infrared scanning area were placed in the sample tank of the near-infrared grain analyser, and the soybean acid content was determined according to the spectrum acquisition procedure established previously [30][31][32][33][34]. Each sample measurement was repeated three times.…”

Section: Determination Of Oleic Acid Content In T2 T3 Soybean Seeds mentioning

confidence: 99%

Construction and Analysis of GmFAD2-1A and GmFAD2-2A Soybean Fatty Acid Desaturase Mutants Based on CRISPR/Cas9 Technology

Lü

Wang

et al. 2020

IJMS

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The soybean fatty acid desaturase family is composed of seven genes, but the function of each gene has not been reported. Bioinformatics was used to analyse the structure of genes in this family, as well as the correlation between Δ12-fatty acid desaturase II (FAD2) expression and oleic acid content on different days after flowering of soybean. In the present study, CRISPR/Cas9 technology was used to construct single and double mutant knockout vectors of functional genes in the FAD2 family. Analysis of the molecular biology and expression patterns of genes in the FAD2 family, namely, GmFAD2-1A (Glyma.10G278000) and GmFAD2-2A (Glyma.19G147300), showed that they had little homology with other soybean FAD2 genes, and that their function was slightly changed. Sequencing of the target showed that the editing efficiency of the GmFAD2-1A and GmFAD2-2A genes was 95% and 55.56%, respectively, and that the double mutant editing efficiency was 66.67%. The mutations were divided into two main types, as follows: base deletion and insertion. A near-infrared grain analyser determined the following results: In the T2 generation, the oleic acid content increased from 17.10% to 73.50%; the linoleic acid content decreased from 62.91% to 12.23%; the protein content increased from 37.69% to 41.16%; in the T3 generation, the oleic acid content increased from 19.15% to 72.02%; the linoleic acid content decreased from 56.58% to 17.27%. In addition, the protein content increased from 37.52% to 40.58% compared to that of the JN38 control variety.

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Section: Determination Of Oleic Acid Content In T2 T3 Soybean Seeds mentioning

confidence: 99%

Construction and Analysis of GmFAD2-1A and GmFAD2-2A Soybean Fatty Acid Desaturase Mutants Based on CRISPR/Cas9 Technology

Lü

Wang

et al. 2020

IJMS

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“…Visible to near-infrared spectroscopy (Vis/NIRS) is a simple, fast, and nondestructive analytical technique, which is widely used in the analysis of complex samples in food (Towett et al, 2013;Zhu, Chen, Wu, Xing, & Yuan, 2018), agriculture (Tardaguila, Fernández-Novales, Gutiérrez, & Paz Diago, 2017), and medicine industries (Li, Du, Cai, & Shao, 2012). In recent years, the development trend of Vis/NIRS instruments is miniaturization and low manufacturing cost.…”

Section: Introductionmentioning

confidence: 99%

A simple and nondestructive approach for the analysis of soluble solid content in citrus by using portable visible to near‐infrared spectroscopy

et al. 2020

Food Science & Nutrition

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A simple and nondestructive method for the analysis of soluble solid content in citrus was established using portable visible to near‐infrared spectroscopy (Vis/NIRS) in reflectance mode in combination with appropriate chemometric methods. The spectra were obtained directly by the portable Vis/NIRS without destroying samples. Outlier detection was performed by using leave‐one‐out cross‐validation (LOOCV) with the 3σ criterion, and the calibration models were established by partial least squares (PLS) algorithm. Besides, different data pretreatment methods were used to eliminate noise and background interference before calibration, to determine the one that will lead to better model accuracy. However, the correlation coefficients are all <0.62 and the results of all pretreatments are still unsatisfactory. Variable selection methods were discussed for improving the accuracy, and variable adaptive boosting partial least squares (VABPLS) method was used to get higher robustness models. The results show that standard normal variate (SNV) transformation is the best pretreatment method, while VABPLS can significantly simplify the calculation and improve the result even without pretreatment. The correlation coefficient of the best prediction models is 0.82, while the value is 0.48 for the raw data. The high performance shows the feasibility of portable Vis/NIRS technology combination with appropriate chemometric methods for the determination of citrus soluble solid content.

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“…Since the 1970s, NIR spectroscopy has been extensively used to determine the protein, oil and other chemical compounds in various crop species [11], including soybean [1,[7][8][9][15][16][17][18], corn [19,20], wheat [21], rapeseed and chickpea [6], sunflower [10], rice and pigeon pea [9]. AACC International [22] has also recommended NIR method for the evaluation of protein, oil and moisture in soybean based on whole seed.…”

Section: Introductionmentioning

confidence: 99%

Comparison and Application of Non-Destructive NIR Evaluations of Seed Protein and Oil Content in Soybean Breeding

Jiang

2020

Agronomy

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A plant breeding program needs to evaluate a large number of materials for different traits within a limited time. Near-infrared (NIR) spectroscopy has been used to quickly determine seed composition in various crop species. In this study, we compared whole-seed evaluations of protein and oil content by NIR methods in soybean [Glycine max (L.) Merr.], and then discussed the application to plant breeding. The differences among the entries tested were highly significant in both traits for each method used. No significant difference but high correlation and consistency existed between DA 7250 and wet-chemistry methods. Compared with DA 7250, ZX-50 exhibited, to some extent, differences or errors. The differences of ZX-50 methods were found to be correlated with seed sizes and could be corrected using regression equations formulated for bias calculation. After correction, the differences in the predictions between DA 7250 and ZX-50 methods were insignificant. Similar to DA 7250, ZX-50 methods exhibited a high repeatability (> 98%) of the predictions. By validation with 760 bulk samples of different seed types and 240 single-plant samples, it further demonstrated that as a non-destructive, fast and cost-efficient method, ZX-50 NIR analysis with an appropriate bias correction could be used in soybean breeding, specifically suitable for single plant selection based on whole seeds.

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Determination of soybean routine quality parameters using near‐infrared spectroscopy

Cited by 37 publications

References 39 publications

Construction and Analysis of GmFAD2-1A and GmFAD2-2A Soybean Fatty Acid Desaturase Mutants Based on CRISPR/Cas9 Technology

Construction and Analysis of GmFAD2-1A and GmFAD2-2A Soybean Fatty Acid Desaturase Mutants Based on CRISPR/Cas9 Technology

A simple and nondestructive approach for the analysis of soluble solid content in citrus by using portable visible to near‐infrared spectroscopy

Comparison and Application of Non-Destructive NIR Evaluations of Seed Protein and Oil Content in Soybean Breeding

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