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Pregnant beef heifers categorized by residual feed intake measured in adolescence exhibit differential intake and feeding behaviors when fed a restricted diet

2014· article· en· W2395162874 sur OpenAlex
Carolyn Fitzsimmons

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Notice bibliographique

Revue2014 ADSA-ASAS-CSAS Joint Annual Meeting · 2014
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueReproductive Physiology in Livestock
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésResidual feed intakeRumpAnimal sciencePregnancyPurebredWeight gainInseminationArtificial inseminationEstrous cycleBiologyMedicineBody weightEndocrinologyFeed conversion ratioBreed
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Selection for residual feed intake (RFI) in cattle will bring about changes in metabolism and physiology that are not explicitly known. We appraised feed intake and feeding behaviour in heifers, characterized by a range of RFI, when fed two different planes of nutrition from day 30 to 150 of pregnancy. Sixty-nine purebred Angus heifers, with RFIF (RFI corrected for fat, ave=0.047, SD=0.7678) measured in adolescence, entered a GrowSafe® automated feed intake recording system after confirmation of pregnancy at 30-days post artificial insemination (AI). Heifers were divided randomly, yet equally in terms of RFIF, weight at start of test (SOT), and SOT rib and rump fat, into 2 diet-groups. Heifers received a ration formulated to allow gain of either 0.5 kg/d (L-diet), or 0.7 kg/d (H-diet). Rations were fed until 150 d of pregnancy, and were adjusted periodically to account for heifer and fetal growth plus decreasing fall temperatures. Heifer weight, as well as rib and rump fat were measured approximately once every 4 weeks, and individual feed intake and feeding behaviour was continuously measured by GrowSafe®. All weight and fat measurements, feed intake and behaviour were analyzed using PROC GLM in SAS 9.0, with RFIF, diet (Hor L-diet), RFIF*diet, and AI (1st or 2nd) included in the model. There were no significant differences due to RFIF, diet, or their interaction on SOT weight, or SOT rib and rump fat. By end of test (EOT), significant diet effects were seen upon EOT weight, both EOT rib and rump fat, and ADG during the feed trial (P<0.01), with heifers consuming H-diet displaying higher weights and fat measurements, but no effect of RFIF was detected. However, significant diet and RFIF effects were detected in average daily intake, feeding duration and head-down time (P<0.05), where heifers with lower RFIF ate less, had a lower average daily feeding duration and head-down time, than those with higher RFIF. Therefore, regardless of diet consumed and under limiting nutritional conditions, low RFIF pregnant heifers ate less, yet maintained the same growth and body condition when compared to high RFIF pregnant heifers. This result is important as RFIF is typically measured on virgin animals and under ad-libitum conditions. If selection for RFI is to become mainstream in the cattle industry, investigating the performance of high and low RFI animals in different nutritional environments and physiological conditions is important. RFI (residual feed intake): is a measurement of how much an animal eats either above or below what is estimated from its weight and stage of growth. Cattle with divergent RFI process and store the energy they receive from feedstuffs differently. Nutrition : Maternal nutrition during pregnancy has been shown to have permanent effects on post-natal growth and development of offspring. Depending upon the time and type of nutritional treatment, these effects may target different biological pathways, and possibly become multi-generational. Results of feed trial during gestation: • Regardless of diet fed during pregnancy, low RFIF heifers exhibited different feeding behaviors and continued to eat less than high RFIF heifers (Table 1, Figure 1), although no differences were seen in weight gain or ultrasound rib and rump fat (Table 2). • As RFI of the heifer became positive (less efficient), average daily intake (Intake AVE), feeding event duration average (Duration AVE), and average time the animal spent detected by GrowSafe (Head-down AVE), increased (Figure 1-3). Significance: Usually RFI is measured in the feedlot under ad-libitum conditions. In this experiment we have seen that heifers with a lower RFI (more efficient) as initially measured while virgin and under ad-libitum conditions, still eat less while pregnant and on a restricted diet while maintaining similar growth and body condition, as compared to heifers with a more positive RFI (less efficient). Table 1. Significance (P) values for the influence of residual feed intake as measured as a heifer (RFIF), and level of diet restriction (Diet), on feeding behaviour characteristics measured by GrowSafe. Trait RFIF1 Diet2 RFIF*Diet Intake AVE <.0001 <.0001 0.0776 Duration AVE 0.0239 <.0001 0.9105 Head-down AVE3 0.0004 <.0001 0.7534 Event AVE 0.6334 0.0402 0.2815 1Residual feed intake corrected for backfat. 2Two diets: High (formulated to gain 0.7 kg/day), and Low (0.5 kg/day). 3Square-root of Head-down AVE. Table 2. Significance (P) values for the influence of residual feed intake as measured as a heifer (RFIF), and level of diet restriction (Diet), on growth and fat characteristics of heifers during the feed trial. Trait RFIF1 Diet2 RFIF*Diet AI3 SOTweight 0.1568 0.2229 0.4634 <.0001 EOTweight 0.2656 0.0028 0.2407 0.0021 ADGFeedTrial 0.8757 <.0001 0.2211 0.032 SOTribfat 0.9066 0.9288 0.2238 0.784 EOTribfat 0.3781 <.0001 0.4117 0.0176 SOTrumpfat 0.6926 0.7868 0.1765 0.5426 EOTrumpfat 0.9207 <.0001 0.9069 0.0381 1Residual feed intake corrected for backfat. 2Two diets: High (formulated to gain 0.7 kg/day), and Low (0.5 kg/day). 3Pregnant at 1st or 2nd AI. Figure 1. Intake AVE increases as RFI becomes positive, regardless of diet fed. Figure 2. Duration AVE increases as RFI becomes positive, regardless of diet fed. Figure 3. Head-down AVE increases as RFI becomes positive, regardless of diet fed. In ta ke A V E

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,938
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,019
Tête enseignante GPT0,223
Écart entre enseignants0,204 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle