Prediction of amylose content, protein content, breakdown, and setback viscosity of Kadus rice and its flour by near‐infrared spectroscopy (NIRS) analysis

2020 ◽  
Author(s):  
Nasrollah Fazeli Burestan ◽  
Amir Hossein Afkari Sayyah ◽  
Mahdi Safi
Keyword(s):  
Infrared Spectroscopy ◽  
Protein Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Amylose Content

Determination of the protein content in brine from salted herring using near-infrared spectroscopy

LWT ◽  
2004 ◽  
Vol 37 (7) ◽  
pp. 803-809 ◽  
Author(s):  
Vibeke T Svensson ◽  
Henrik Hauch Nielsen ◽  
Rasmus Bro
Keyword(s):  
Infrared Spectroscopy ◽  
Protein Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared

scholarly journals Protein, weight, and oil prediction by single-seed near-infrared spectroscopy for selection of seed quality and yield traits in pea (Pisum sativum).

2020 ◽  
Author(s):  
Gokhan Hacisalihoglu ◽  
Jelani Freeman ◽  
Paul R. Armstrong ◽  
Brad W. Seabourn ◽  
Lyndon D. Porter ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Pisum Sativum ◽  
Protein Content ◽  
Near Infrared Spectroscopy ◽  
Seed Weight ◽  
Oil Content ◽  
Near Infrared ◽  
Seed Quality ◽  
Single Seed ◽  
Selection Of

Abstract Background: Pea (Pisum sativum) is a prevalent cool season crop that produces seeds valued for high protein content. Modern cultivars have incorporated several traits that improved harvested yield. However, progress toward improving seed quality has received less emphasis, in part due to the lack of tools for easily and rapidly measuring seed traits. In this study we evaluated the accuracy of single-seed near-infrared spectroscopy (NIRS) for measuring pea seed weight, protein, and oil content. A total of 96 diverse pea accessions were analyzed using both single-seed NIRS and wet chemistry methods. To demonstrate field relevance, the single-seed NIRS protein prediction model was used to determine the impact of seed treatments and foliar fungicides on protein content of harvested dry peas in a field trial. Results: External validation of Partial Least Squares (PLS) regression models showed high prediction accuracy for protein and weight (R2 = 0.94 for both) and less accuracy for oil (R2 = 0.75). Single seed weight was not significantly correlated with protein or oil content in contrast to previous reports. In the field study, the single-seed NIRS predicted protein values were within 1% of an independent analytical reference measurement and were sufficiently precise to detect small treatment effects. Conclusion: The high accuracy of protein and weight estimation show that single-seed NIRS could be used in the dual selection of high protein, high weight peas early in the breeding cycle allowing for faster genetic advancement toward improved pea nutritional quality.

APPLICATION OF NEAR-INFRARED SPECTROSCOPY TO PREDICT AMYLOSE CONTENT IN CORN

2001 ◽  
Author(s):  
S. W. Mbuvi ◽  
M.R. Paulsen ◽  
M. Bajaj ◽  
Sandra K. Harrison
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Amylose Content

scholarly journals Assessment of the grain quality indicators in introgression wheat lines by the near infrared spectroscopy method

2019 ◽  
Vol 24 ◽  
pp. 271-277
Author(s):  
I. I. Моtsnyi ◽  
O. O. Molodchenkova ◽  
V. N. Bezlyudnyi ◽  
R. V. Solomonov ◽  
M. P. Kulbida
Keyword(s):  
Infrared Spectroscopy ◽  
Protein Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Agronomic Traits ◽  
Selection Process ◽  
Weather Conditions ◽  
Objective Evaluation ◽  
Row Crop ◽  
Wheat Lines

Aim. The variation of protein content and its relationship to agronomic traits of introgression wheat lines were studied to determine the differentiating ability of environment, a value of breeding traits from new sources and the relevancy of assessment methods. Methods. Growing plants under different conditions was combined with the laboratory methods for determining quality. Results. An average protein content of the lines (9.7–15.5 %) was higher in the wide-row crop and in drouth years, and the range of variation was wider in dry years in the wide-row crop, but in favorable years in the solid crop. A stable positive correlation of protein content with gluten content (0.87–0.96) and sedimentation value (0.58–0.90), and the negative correlation with yield was established. Conclusions. The parameters of plant resistance to diseases and harsh agricultural backgrounds, the determination of protein content by several methods and the differentiating ability of the environments with optimal conditions and a high agricultural background should be used for selection and objective evaluation of material. Weather conditions may limit the use of some indicators as breeding traits. The method of near-infrared spectroscopy requires constant calibrations, following measurement instructions may overestimate the protein content and affect the efficiency of the selection process. Keywords: wheat, introgression lines, protein content, methods.

Triticale Moisture and Protein Content Prediction by Near-Infrared Spectroscopy (NIRS)

2007 ◽  
Vol 84 (4) ◽  
pp. 328-330 ◽  
Author(s):  
B. Igne ◽  
L. R. Gibson ◽  
G. R. Rippke ◽  
A. Schwarte ◽  
C. R. Hurburgh
Keyword(s):  
Infrared Spectroscopy ◽  
Protein Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared
Sign in / Sign up

Export Citation Format

Share Document