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Record W7005735732

REVEALING THE ASSOCIATION OF FEED INTRINSIC MOLECULAR STRUCTURE WITH NUTRIENT SUPPLY TO ANIMALS FROM FEEDSTOCKS AND CO-PRODUCTS FROM BIO-OIL PROCESSING USING ADVANCED MOLECULAR SPECTROSCOPY TECHNIQUES

2021· dissertation· en· W7005735732 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2021
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicMarine Invertebrate Physiology and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsCanolaNutrientMolecular spectroscopyCropExtraction (chemistry)Nitrogen
DOInot available

Abstract

fetched live from OpenAlex

Canola (Brassica napus) is a crop grown primarily for oil extraction from the seeds. However, this process generates a co-product called canola meal, that is rich in protein. Modifications in the processing of the seeds can affect the meal. The general objective of this research was to reveal the association of intrinsic molecular structures with the nutrient supply to dairy cows from canola seeds and meals from two countries using an advanced vibrational molecular spectroscopy technique, the Fourier transform infrared – Attenuated Total Reflectance (FTIR-ATR).\nChapter 1 brings a general introduction of this thesis. And chapter 2 contains the literature review that demonstrates the reasoning and some methods considered when developing this project. Following these, from chapter 3 to chapter 6 each study with its respective results is discussed, and chapter 7 summarizes the whole project. All references are presented on chapter 8 and extra tables and information are brought in the final chapter, chapter 9.\nIn chapter 3, the chemical and nutrient profiles of canola seeds and meals from Canada and China were evaluated. The results showed that DM (dry matter) was higher on Canadian canola meals (89.96 vs. 88.55%, P<0.001) and CP (crude protein) was higher in Chinese meals (43.04 vs. 41.87% DM, P=0.003), but only DM was higher in Canada’s seeds (93.10 vs. 92.28%, P=0.008). Chinese meals presented higher tdNDF (P<0.001) and tdCP (P<0.001), and lower tdNFC (P=0.006) than Canada’s. Only tdNDF of canola seeds was higher in Canada (P=0.023). The soluble fraction (PA2) was higher (P<0.001) in meals from China and the slowly degradable fraction (PB2) was higher (P<0.001) in meals from Canada. Chinese meals and seeds showed higher content of water-soluble carbohydrates (CA4) (P=0.040 and P=0.022, respectively). And Canadian meals presented higher soluble (CB2) and indigestible (CC) fiber contents (P=0.010 and P<0.001). These suggest that although few differences were observed, different procedures in crushing plants affect the meals.\nChapter 4 examines the ruminal degradation and intestinal digestibility and provides a characterization of nutrient supplies. From these studies, results showed that the rumen undegradable fraction (U) was higher in Canadian meals (P=0.025) and the rumen degradable\nfraction (D) was higher in Chinese meals (P=0.016). Also, the hourly degradation of CP was higher in Chinese canola meals on 24 (P=0.042) and 48 hours (P=0.040) of incubation. The in vitro intestinal digestibility showed that the total digestible dry matter and the intestinal digestibility of protein of the canola meals from China were higher (P=0.018 and P=0.016, respectively) than from Canada. The feed milk value (FMV) was determined according to the NRC 2001, DVE/OEB model and based on the energy and no differences were observed for seeds or meals between countries on either method (P>0.05). These results propose that the ruminal and intestinal performance of canola meals and seeds from different companies and countries is similar, as well as the nutrient supply to dairy cows.\nChapter 5 is the molecular spectroscopy study of protein and carbohydrate-related structures from canola seeds and meals. Chinese meals showed higher peak heights for total carbohydrate on peaks 3 and 4 (TC3, TC4), cellulosic compounds (CEC), structural carbohydrates (STC2, STC3, and STC4), and areas for TC, CEC, and STC (P<0.05). Canadian canola seeds presented higher peaks for TC1, TC2, TC3, TC4, CEC, STC2, STC4, and TC area (P<0.05), while the ones from China showed a higher peak for SCT1 (P=0.033). Regarding the protein-related structures of canola seeds, they showed no differences between countries (P>0.05). However, the Chinese meals presented higher amide I height; α-helix and β-sheet heights and their ratio; and amide and amide I areas (P<0.05). Principal Component Analysis (PCA) done on the FTIR-ATR analysis was not able to completely differentiate samples from different countries or companies. These results suggest that the canola seeds and meals processed in Canada are comparable to those processed in China.\nChapter 6 describes the relationship between the molecular structures spectra features of canola seeds and meals and nutrient utilization and availability to dairy cows. The results from the correlation study showed that the area of structural carbohydrate (STCA) commonly appears to be related to meals’ characteristics and total carbohydrate area (TCA) to features of the seeds. The amide region showed a strong relationship with nutritional characteristics of both seeds and meals. These results indicate that the carbohydrate and protein structures studied with FTIR-ATR are related to canola seeds and meals’ chemical and nutrient profiles, as well as rumen degradable and intestinal digestibility characteristics.\nIn conclusion, canola seeds processed in crushing plants in Canada mostly presented the same characteristics and behaviors as the seeds processed in China; although canola meals presented some differences in the chemical and nutrient profiles, they provide similar nutrient supply and utilization to dairy cows; and the FTIR-ATR technique applied on the samples to study protein and carbohydrate-related structures proved to an efficient method to predict chemical, degradable and digestible characteristics of canola meals and seeds.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.167
Teacher spread0.164 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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