Cited by 80Ruminant Nutrition and Digestive PhysiologyAnimal Nutrition and PhysiologyFood and Agricultural Sciences

Moist and dry heating-induced changes in protein molecular structure, protein subfractions, and nutrient profiles in camelina seeds

Open access
Peng, Quanhui, Khan, Nazir A., Wang, Zhisheng, Yu, Peiqiang·2014·Journal of Dairy Science

Abstract

The objectives of the present study were to investigate the nutritive value of camelina seeds (Camelina sativa L. Crantz) in ruminant nutrition and to use molecular spectroscopy as a novel technique to quantify the heat-induced changes in protein molecular structures in relation to protein digestive behavior in the rumen and intestine of dairy cattle. In this study, camelina seeds were used as a model for feed protein. The seeds were kept as raw (control) or heated in an autoclave (moist heating) or in an air-draft oven (dry heating) at 120°C for 60 min. The parameters evaluated were (1) chemical profiles, (2) Cornell Net Protein and Carbohydrate System protein subfractions, (3) nutrient digestibilities and estimated energy values, (4) in situ rumen degradation and intestinal digestibility, and (5) protein molecular structures. Compared with raw seeds, moist heating markedly decreased (52.73 to 20.41%) the content of soluble protein and increased (2.00 to 9.01%) the content of neutral detergent insoluble protein in total crude protein (CP). Subsequently, the rapidly degradable Cornell Net Protein and Carbohydrate System CP fraction markedly decreased (45.06 to 16.69% CP), with a concomitant increase in the intermediately degradable (45.28 to 74.02% CP) and slowly degradable (1.13 to 8.02% CP) fractions, demonstrating a decrease in overall protein degradability in the rumen. The in situ rumen incubation study revealed that moist heating decreased (75.45 to 57.92%) rumen-degradable protein and increased (43.90 to 82.95%) intestinal digestibility of rumen-undegradable protein. The molecular spectroscopy study revealed that moist heating increased the amide I-to-amide II ratio and decreased α-helix and α-helix-to-β-sheet ratio. In contrast, dry heating did not significantly change CP solubility, rumen degradability, intestinal digestibility, and protein molecular structures compared with the raw seeds. Our results indicated that, compared with dry heating, moist heating markedly changed protein chemical profiles, protein subfractions, rumen protein degradability, and intestinal digestibility, which were associated with changes in protein molecular structures (amide I-to-amid II ratio and α-helix-to-β-sheet ratio). Moist heating improved the nutritive value and utilization of protein in camelina seeds compared with dry heating.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3168/jds.2013-7298

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 34 · Cited by 80

Research works printed but not linked: 4

  1. [2]2. Budevska, B. O. 2002. Applications of vibrational spectroscopy in life, pharmaceutical and natural sciences. Pages 3720-3732 in Hand- book of Vibrational Spectroscopy. Vol.
  2. [18]18. NRC. 2001. Nutrient Requirements of Dairy Cattle. 7th rev. ed. Na- tional Academies Press, Washington, DC.
  3. [21]21. Putnam, D. H., J. T. Budin, and L. A. Field, and W. M. Breene. 1993. Camelina: A promising low-input oilseed. Pages 314-322 in New Crops. J. Janick and J. E. Simon, ed. Wiley Publishing, New York, NY.
  4. [27]27. Saxton, A. M. 1998. A macro for converting mean separation output to letter groupings in PROC MIXED. Pages 1243-1246 in Proc. 23rd SAS User Group Intl. SAS Institute, Cary, NC.

Authors
Peng, Q., Khan, N. A., Wang, Z., & Yu, P.
Affiliations
  • University of Saskatchewan (CA)
  • Sichuan Agricultural University (CN)
  • Tianjin Agricultural University (CN)
Corresponding author
Yu, Peiqiang
Venue
Journal of Dairy Science
Published
2014-01
Volume
97
Issue
1
Pages
446-457
ISSN
0022-0302 (ISSN-L)
OpenAlex
W2025592593
Cited by
80
References
34
Citations by year
2026: 1 · 2025: 6 · 2023: 8 · 2022: 6 · 2021: 5 · 2020: 8 · 2019: 5 · 2018: 8 · 2017: 7 · 2016: 9 · 2015: 10 · 2014: 7
FWCI
18.40
Type
journal article
Language
en
Open access
Locations
  • Journal of Dairy Science (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Ministry of Agriculture Strategic Research Chair Program, Natural Sciences and Engineering Research Council of Canada (NSERC, Ottawa, ON, Canada), SaskCanola
  • Saskatchewan Agricultural Development Fund
Topics
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
  • Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Nutrition and Physiology
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Food and Agricultural Sciences
Keywords
Camelina sativa, heat treatment (food and biological processing), dry heating, protein structure, protein subfractions, rumen degradability, intestinal digestibility, ruminant nutrition, dairy cattle feed
MeSH terms
Animals, Animal Feed, Cattle, Digestion, Hot Temperature, Intestinal Mucosa, Nutritive Value, Plant Proteins, Rumen, Ruminants, Seeds, Molecular Structure, Protein Structure, Secondary, Brassicaceae

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review