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Record W3153860204 · doi:10.2478/aoas-2021-0006

Effect of Replacing Maize Grain by Hybrid Rye Grain in the TMR on Performance of Mid-Lactating Dairy Cows

2021· article· en· W3153860204 on OpenAlexfundno aff
Patrycja Rajtar, Marek Sady, P. Górka, S.I. Kehoe, P. Micek

Bibliographic record

VenueAnnals of Animal Science · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsnot available
FundersInstitute of GeneticsNarodowe Centrum Badań i RozwojuNational Center for Research and Development
KeywordsDry matterSilageLactationBiologyAgronomyCaseinComposition (language)Animal scienceDairy cattleFood scienceChemistry

Abstract

fetched live from OpenAlex

Abstract Grain from traditional varieties of rye is not commonly used in dairy cattle nutrition. However, new hybrid varieties of rye currently available are characterized by some nutritional and agrotechnical benefits. This paper deals with the hypothesis that rye grain derived from a hybrid variety may be an alternative for maize grain in diets for dairy cattle. Sixteen lactating Polish Holstein- Friesian cows were divided into two groups according to their parity (8 primi- and 8 multiparous), stage of lactation (106 ± 30 days after calving) and milk yield (34 ± 4 kg/day). Cows were fed a total mixed ration (TMR) containing grass silage and whole crop maize silage and 29.2% of the concentrate (in dry matter). The latter contained approximately 48% (as fed) of either maize grain (M) or hybrid rye grain (HR) as a main source of cereal grain. Experimental diets were fed for 9 weeks. The use of HR as a substitute for M did not affect (P>0.05) dry matter intake and milk yield. There were no differences between treatments in the content of milk solids, amino acids, and fatty acid profile. However, substituting M by HR positively influenced composition of milk protein fractions by increasing the proportion of α-casein (37.0 vs 39.7%; P<0.01) and к-casein (6.5 vs 7.3%; P=0.02) as well as decreasing the proportion of β-casein (28.8 vs 27.8%; P=0.02) and sensory characteristics of the milk (body and texture, and taste; P<0.05). In turn, the composition of the diet did not affect the technological suitability for processing of milk fat (acid and peroxide number, melting and solidification temperature), rennet coagulation time, heat stability or titratable acidity. This study has shown that hybrid rye grain may be an alternative for maize grain in a TMR based on grass and whole maize silage for mid-lactation dairy cows. Further studies are needed with higher proportion of hybrid rye grain in TMR or with other roughages used in a basal diet to fully determine efficiency of hybrid rye grain use in diets for dairy cows.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.198
Threshold uncertainty score0.179

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.296
Teacher spread0.262 · 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 teacher head, 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".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

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