Hamed Ahmadi; Vahid Rasoli Marivani; Yousef Mohammadi
Volume 22, Issue 2 , June 2020, , Pages 281-288
Abstract
The goal of this study was to determine regression equations to predict metabolizable energy of wheat samples given their chemical compositions using meta-analytical approach. A database compromising chemical compositions and apparent metabolizable energy corrected for the nitrogen (AMEn) ...
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The goal of this study was to determine regression equations to predict metabolizable energy of wheat samples given their chemical compositions using meta-analytical approach. A database compromising chemical compositions and apparent metabolizable energy corrected for the nitrogen (AMEn) of 111 published sources of wheat strains was used. Sample information contains crude protein (CP), ether extract (EE), crude fiber (CF), ash and AMEn. Average values for AMEn was calculated as 2917.46 (kcal/kg), while for the CP, EE, CF, ash was calculated as 12.53, 2.12, 1.61and 1.56 (% dry matter), respectively. Meta-regression equations for predicting AMEn wheat based on chemical composition were developed and evaluated by means of provided database. Best equation obtained as: AMEn (kcal/kg)=1648+45.8 %CP+175.8 %EE+ 185.4 %CF. This equation can be used for predicting energy of wheat variates in feed-factories and poultry farms.
Mehdi Mirzaei; Ali Sadeghi Sefid Mazaki; Mohammad Khorvash; Gholam Reza Ghorbani; Pirouz Shakeri
Volume 18, Issue 2 , June 2016, , Pages 225-234
Abstract
This study was carried out to assess the effects of alfalfa hay level and replacing corn grain by other grains in starter on daily feed intake, average daily gain (ADG) and feed efficiency (FE) of pre and post-weaning dairy calves during the pre and post-weaning periods. For this purpose, a database ...
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This study was carried out to assess the effects of alfalfa hay level and replacing corn grain by other grains in starter on daily feed intake, average daily gain (ADG) and feed efficiency (FE) of pre and post-weaning dairy calves during the pre and post-weaning periods. For this purpose, a database Meta-analysis used in the present study. Statistical analyses were performed using PROC MIXED in SAS software. Starter intake and ADG were not affected by alfalfa hay feeding level during the pre-weaning period. However, alfalfa hay feeding tended to increase starter intake during the post-weaning and entire periods (P = 0.07 and P = 0.09, respectively). Further, ADG increased during the post-weaning and entire periods with alfalfa hay supplementation. Starter intake and ADG quadratically affected by the level of alfalfa hay supplementation. At pre-weaning period, feed efficiency tended to decrease (P = 0.06) with alfalfa hay supplementation, but was not different with control group during the post-weaning and entire periods. In addition, partial replacement of corn with other grains increased (P < 0.01) starter intake of dairy calves, but feed efficiency decreased (P < 0.01). Based upon the findings of the present research, alfalfa hay supplementation up to 7.5 % of the total diet could improve starter intake and ADG in dairy calves at post-weaning period. Further, it is possible to replace corn with other grains, up to 50 %, without any negative effect on neonatal dairy calves performance.