Evaluation of feedlot feed efficiency relationships as well as genetic and phenotypic performance, carcass, and economic outcomes
Notice bibliographique
Résumé
Several feed efficiency values have recently been proposed including: feed conversion ratio in terms of feed:gain (FCR), residual feed intake (RFI), and residual BW gain (RG), and residual intake and BW gain (RIG). These all have production efficiency potential since they include feed intake inputs and production outputs. The objective of this dissertation was to investigate: 1) heterosis effects on feed efficiency, 2) how measures of feed efficiency affect one another, 3) heritability estimates, 4) genetic and phenotypic relationships of performance, carcass, economic, and feed efficiency traits and 5) the relationship of economic factors and prediction of these factors utilizing performance, carcass, and feed efficiency characteristics. Steers were all early weaned (78 ± 24 d) and managed similarly prior to weaning and in the feedlot. Steers were all of known Simmental (SM), Angus (AN), and SM x AN genetics. Steers were pen-fed and individual DMIs were recorded using the GrowSafe® automated feeding system (GrowSafe® Systems Ltd., Airdrie, Alberta, Canada). Two experiments (1: n = 612) (2: n = 158) were conducted to analyze the effect of heterosis on subsequent steer progeny. Maternal heterosis was classified by dam breed into four categories: 1) 100% AN (AN), 2) 75% AN (75AN), 3) 50% AN (50AN), and 4) 75% or greater SM (SM). Results from experiment 1 showed that ADG was 0.08 kg higher (P < 0.05) for progeny of SM compared to AN dams. Dry matter intake and consequently RFI were improved (P < 0.05) for 75AN and 50AN compared to AN and SM dams. Residual BW gain was improved in (P < 0.05) progeny of SM dams when compared to AN dams. In conclusion, dams of varying AN breed composition produced offspring that performed differently with progeny from 75AN dams excelling in the feedlot. Next, Purebred AN and SM sires and dams were utilized. Progeny of SM dams had a more desirable RFI (P < 0.05). An improved HCW, backfat, LM area, and consequently yield grade was shown by progeny of SM dams (P < 0.05); however, marbling score was 80 units higher for progeny of AN dams (P < 0.05). The only sire by dam breed interaction was for marbling score (P = 0.05). Overall, maternal heterosis effects on performance, feed efficiency measures, and carcass traits of resulting progeny appear to be important. All feed efficiency traits investigated were favorably correlated both genetically and phenotypically to one another. Feed conversion ratio was genetically correlated to RG and RIG at -0.97 and -0.95, respectively. Feed conversion ratio is highly correlated with growth traits therefore an increase in weight led to a more desirable FCR. While a phenotypic increase wasn’t significant, a genetic increase in carcass value was associated with a more desirable FCR. A similar effect was shown when utilizing RG since it is very similar to FCR. While RFI does a good job at reducing intake, but it is genetically correlated to HCW at 0.34 having the genetic potential to also reduce weight. Residual intake and BW gain combined the advantageous performance aspects of reduced DMI like RFI and increased ADG like RG. It is also moderately heritable at 0.22 ± 0.10 like its component traits. Economic characteristics are favorable toward RIG; however, it was associated with a slightly lower marbling score in this study. All feed efficiency values were correlated (P < 0.05) favorably with profit per steer. Carcass value was correlated (P < 0.05) with RG and RIG and a ten percent improvement in RIG yielded $22.55 increase in value. The model for carcass value explained 96% of the variation among carcasses and included HCW, marbling score, and yield grade. Average daily gain, marbling score, yield grade, DMI, HCW and year born constituted all 81% of the variation in the prediction of profit. Variation in cost of gain was mainly explained by ADG and DMI. Next, prediction equations were developed that excluded ADG and DMI and included feed efficiency values. Cost of gain was explained primarily by FCR (r2 = 0.71). Seventy-three percent of profitability was explained by the calculated prediction equation; RG and marbling made up 54% of this total explained variation. These models represent the relative importance of factors contributing to economic success in feedlot cattle based on current prices. In summary, feedlot feed efficiency was affected by breed composition and related to important performance, carcass, and economic characteristics of feedlot cattle. Selection for feed efficiency traits will be an important tool for lowering input costs and can lead to an increase in profitability; however, desirable performance and carcass traits are the larger determinates in profitability.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».