scholarly journals Quantification of Oil Content in Intact Sugar Beet Seed by Near-Infrared Spectroscopy

Agronomy ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. 254 ◽  
Author(s):  
Rosa Martínez-Arias ◽  
María Ronquillo-López ◽  
Axel Schechert
Keyword(s):  
Sugar Beet ◽  
Oil Content ◽  
Near Infrared ◽  
Seed Oil ◽  
Predictive Accuracy ◽  
Pearson Correlation ◽  
Accurate Determination ◽  
Calibration Model ◽  
Oil Reserves

Sugar beet seed oil reserves play an important role in successful germination and seedling development. The purpose of this study was to establish a non-destructive near-infrared (NIR) methodology with good predictive accuracy to quantify stored seed oil in sugar beet seed. Reflectance NIR spectra were acquired from viable monogerm seeds. Calibration equations were developed using partial least squares. The optimized calibration model reached a Pearson correlation of 0.946; an independent prediction test reached a correlation of 0.919 and a Root Mean Square Error of Prediction of 0.388. The possible role of the outer pericarp in the prediction of oil content was additionally considered. The results indicate that the model is suitable for a rapid and accurate determination of the oil content in both polished and unpolished sugar beet seeds. This NIR application might help to understand the role of seed energy reservoirs in sugar beet germination and further plant growth.

scholarly journals Field Detection of Rhizoctonia Root Rot in Sugar Beet by Near Infrared Spectrometry

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8068
Author(s):  
Leilane C. Barreto ◽  
Rosa Martínez-Arias ◽  
Axel Schechert
Keyword(s):  
Sugar Beet ◽  
Correlation Coefficient ◽  
Near Infrared ◽  
Pearson Correlation ◽  
Crown Rot ◽  
Infrared Spectrometry ◽  
Calibration Model ◽  
Least Squares Regression ◽  
Beet Root ◽  
Rhizoctonia Root Rot

Rhizoctonia root and crown rot (RRCR) is an important disease in sugar beet production areas, whose assessment and control are still challenging. Therefore, breeding for resistance is the most practical way to manage it. Although the use of spectroscopy methods has proven to be a useful tool to detect soil-borne pathogens through leaves reflectance, no study has been carried out so far applying near-infrared spectroscopy (NIRS) directly in the beets. We aimed to use NIRS on sugar beet root pulp to detect and quantify RRCR in the field, in parallel to the harvest process. For the construction of the calibration model, mainly beets from the field with natural RRCR infestation were used. To enrich the model, artificially inoculated beets were added. The model was developed based on Partial Least Squares Regression. The optimized model reached a Pearson correlation coefficient (R) of 0.972 and a Ratio of Prediction to Deviation (RPD) of 4.131. The prediction of the independent validation set showed a high correlation coefficient (R = 0.963) and a root mean square error of prediction (RMSEP) of 0.494. These results indicate that NIRS could be a helpful tool in the assessment of Rhizoctonia disease in the field.

Rapid determination of oil content in dried-ground oil palm mesocarp and kernel using near infrared spectroscopy

2017 ◽  
Vol 25 (5) ◽  
pp. 338-347 ◽  
Author(s):  
Sudarno ◽  
Divo D Silalahi ◽  
Tauvik Risman ◽  
Baiq L Widyastuti ◽  
F Davrieux ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Oil Palm ◽  
Standard Error ◽  
Oil Content ◽  
Near Infrared ◽  
Cross Validation ◽  
Calibration Model ◽  
Reliable Technique

Near infrared spectroscopy calibrations for rapid oil content determination of dried-ground oil palm mesocarp and kernel were developed. Samples were analyzed, one set using the Soxhlet extraction method for reference analysis and the other set scanned by near infrared spectroscopy instrument for calibration. Successful calibrations were obtained with good accuracy and precision for mesocarp and kernel, based on statistical models. Math treatment and scatter correction had significant effects on the fitting of the calibration model. The best obtained calibration models were demonstrated by multiple correlation coefficient (R2), standard error of calibration, standard error of cross validation, coefficient of determination in cross validation (1-VR) and relative predictive deviation of calibration, which respectively were 0.997, 1.21%, 1.23%, 0.997 and 17.89 for mesocarp and 0.952, 0.47%, 0.53%, 0.94 and 4.00 for kernel. The correlations between reference and predicted values for samples in the validation sets were in agreement with high linearity, high ratio performance to deviation of prediction (≥4.00) and low standard error of prediction samples for both samples. The results demonstrated that near infrared spectroscopy can be used as an alternative and reliable technique to estimate the mesocarp and kernel oil contents in dry matter basis accurately and rapidly.

scholarly journals Transcriptome profiling analysis reveals the role of silique in controlling seed oil content in Brassica napus

PLoS ONE ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. e0179027 ◽  
Author(s):  
Ke-Lin Huang ◽  
Mei-Li Zhang ◽  
Guang-Jing Ma ◽  
Huan Wu ◽  
Xiao-Ming Wu ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Oil Content ◽  
Seed Oil ◽  
Transcriptome Profiling ◽  
Seed Oil Content ◽  
Profiling Analysis

Maternal control of seed oil content in Brassica napus: the role of silique wall photosynthesis

2011 ◽  
Vol 69 (3) ◽  
pp. 432-444 ◽  
Author(s):  
Wei Hua ◽  
Rong-Jun Li ◽  
Gao-Miao Zhan ◽  
Jing Liu ◽  
Jun Li ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Oil Content ◽  
Seed Oil ◽  
Seed Oil Content ◽  
Maternal Control

scholarly journals PERTUMBUHAN BIBIT MALAPARIDARI PROVENAN UJUNG KULON PADA UMUR 5 BULAN DIPERSEMAIAN

2021 ◽  
Vol 15 (1) ◽  
pp. 37-49
Author(s):  
Tri Maria Hasnah ◽  
◽  
Eritrina Windyarini ◽  
Budi Leksono ◽  
Hamdan Adma Adinugraha ◽  
...  
Keyword(s):  
Survival Rate ◽  
Growth Performance ◽  
Oil Content ◽  
Seed Oil ◽  
Seedling Survival ◽  
Pearson Correlation ◽  
Block Design ◽  
Average Growth ◽  
Observation Units ◽  
Potential Source

Malapari (Pongamia pinnata) is one of tree species belonging to Family of Leguminosae. Malapari seed oil were known as potential source for biofuel. The previous study showed that Provenance from Taman Nasional Ujung Kulon Banten had highest oil content among provenances in Java. Seed exploration was carried out to determine variations among families on oil content and growth performance. This study was conducted to determine the variation among families on growth performance at nursery level. The seedlings were used as planting stocks for Progeny Test establishment. This study was arranged in randomized completely block design with 50 families, 10 seedlings per plot and repeated in 4 blocks resulting the total number of observation units were 2000 seedlings. Seedling survival rate, growth performance (height, diameter, leave number), and sturdiness ratio was measured monthly up to 5 months after sowing. Analyses of variance was used to find out differences among families. Correlation among characters/parameters was analyzed by Pearson Correlation Analyses. The results showed that variations among families were found on seedling growthperformance. The seedling survival rate at the age of 5 months was 84.60% (26,70-100%) with an average growth of 47.10 cm (31,2-59,7 cm) in height, 5.49 mm (4,7-6,5 mm) in diameter, 8.56 for seedlings sturdiness and 15.4 (10,9-18,8) for leave number

Rapid Prediction of Camelina Seed Oil Content Using Near-Infrared Spectroscopy

2017 ◽  
Vol 31 (5) ◽  
pp. 5629-5634 ◽  
Author(s):  
Ke Zhang ◽  
Zhenglin Tan ◽  
Chengci Chen ◽  
Xiuzhi Susan Sun ◽  
Donghai Wang
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Oil Content ◽  
Near Infrared ◽  
Seed Oil ◽  
Seed Oil Content ◽  
Rapid Prediction ◽  
Camelina Seed
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