Ricardo Kazama

Suplementação de novilhos nelore em pastejo de Brachiaria brizantha com diferentes níveis e fontes de concentrado

This work was carried out to study the daily average gain (DAG) of steers grazing Brachiaria brizantha cv. Marandu, supplemented, from July to December, with two levels of three different supplements. Fifty-four Nellore steers (9 for each treatment) aged approximately 20 months and initial average live weight of 370 kg were used. The experimental treatments were: AMI - supplement rich in starch (based on corn), OLE - supplement rich in fat (based on whole cottonseed) and A+O - supplement combination (based on mixture of AMI and OLE). All supplements were offered in .7 and 1.4% of liveweight (LW). The green blade availability was 5.12 kg DM/100 kg LW. Treatments and levels influenced DAG. In both levels of supplementation, the combination of feeds promoted higher performance. The lowest level (.7% LW) AMI and OLE was not different, and both were different from A+O. DAG was .44, .46, and .57 kg for AMI, OLE and A+O respectively. Similar results were registered on the higher level (1.4% LW) of supplementation. In this level A+O showed better performance than AMI and OLE that was not different. DAG was .58 kg for AMI, .61 kg for OLE and .72 kg for A+O. The supplementation with concentrates composed by the mixture of rich feeds in starch (corn) and oil (cotton seed) provided higher performance of the animals, that when supplemented separately with the respective sources, independently of the supplementation level. The higher supplementation level (1.4% of LW) showed lower economical efficiency, when compared to the smallest level (.7% PV).

Digestibilidade e características ruminais de dietas com diferentes níveis de concentrado para bubalinos e bovinos

The objective of this trial was to evaluate three different concentrate levels (CL) (23, 43 and 63%) on intake, nutrient digestibility, ruminal metabolism, and microbial efficiency in Holstein bovines and Murrah buffaloes (Bubalus bubalis) fed diets containing ground corn and dry cassava by-product as energy sources. Three Holstein bovines and three Murrah buffaloes averaging, respectively, 473±54 kg and 400±33 kg of body weight (BW), fitted with ruminal and duodenal cannulas were blocked by species and randomly assigned to two replicated 3 x 3 Latin squares with a factorial arrangement of treatments. Chromium oxide was used as duodenal and fecal flow marker. Intake of dry matter (DM) was lower on bubalines (1.40% of BW) than on bovines (1.63% of BW). The greatest CP intake was of 10.09 g/kg BW0.75 for bovines and 8.63 g/kg BW0.75 for bubalines with 44.4% of concentrate in the diet while the highest starch intake was of 32.83 g/kg BW 0.75 for bovines and 28.38 g/kg BW 0.75 for bubalines with 61.69% of concentrate in the diet. There were no effects of CL and species on total tract digestibility, ruminal digestibility, and intestinal digestibility of nutrients with the exception of starch and CP. Apparent total tract digestibility of starch was greatest on bovines (95.7 vs. 85.8%); ruminal starch digestibility was also greatest on bovines (87.4% vs. 81.9%) and that increased linearly when the CL was increased in the diet. It was observed lower ruminal digestibility (13.2 vs. 27.5%) and higher intestinal digestibility (86.8 vs. 72.5%) of CP on bovines compared to bubalines in this trial. Ruminal pH averaged 6.7 on bubalines and was greater that than on bovines (6.3). Ruminal ammonia concentration differed across treatments on bubalines but not on bovines whereas microbial efficiency was not affected either by dietary CL or by species.

Intake, digestibility, rumen characteristics and microbial protein synthesis efficiency in bovine and bubaline fed sugar cane silage with additives

Intake and total and ruminal digestibility, ruminal characteristics and microbial synthesis efficiency in bovine and bubaline fed sugar cane silages treated with microbial additive Lactobacillus buchneri (inoculate) and the addition of: cassava byproduct meal at 250 g/kg; soybean hulls at 250 g/kg; and urea at 33 g/kg, in natural matter were evaluated. The forage:concentrate ratio was 600:400 g/kg. Bubaline body weight (BW) was 403±49 kg and bovine BW was 492±10 kg. The experimental design consisted of two 4 × 4 Latin squares in a 4 × 2 factorial arrangement. The average DM intake did not differ between species, and the diet with urea showed lowest intake (13 g/kg BW). Among the diets, the one with soybean hulls addition increased the total digestibility of DM, organic matter (OM) and neutral detergent fiber (NDF), while addition of urea reduced the DM, OM and non-fibrous carbohydrates (NFC) total digestibility in both species. Bovines have higher ruminal digestibility of NFC in the diet with addition of inoculate, inoculate + soybean meal and inoculate + urea diets than bubaline. Ruminal liquid pH was higher for bubaline (6.61) than bovines (6.48). Diets with addition of cassava byproduct and soybean hulls presented higher ruminal short chain fatty acids concentrations. Ruminal ammonia concentration (N-NH3) did not differ between species and the treatment with urea presented the highest value of N-NH3 (17.25 mg/100 mL). Liquid passage rate was higher for bubaline (12.9%/h) than bovines (9.9%/h). Bubaline has higher microbial synthesis efficiency than bovine: 35.1 vs 24.6 g of N-microbial/kg OM of the total rumen digestibility, regardless of the diet.

Typification of Factors Related to Milk Production and Its Impact on the Sanitary Quality of Milk

Aiming at identifying and characterizing the dairy production systems regarding the hygienic and sanitary practices in milking on the sanitary quality of milk, 32 properties were analyzed through the data collection by means of a semi-structured questionnaire. The collected data were analyzed by multivariate statistical analysis, using the Principal Component Analysis (PCA) and analysis of Ascending Hierarchical Classification Cluster (CHA). Firstly, a cluster analysis was used for forming groups of variables. Through the groups formed was sought to obtain the explanatory variables through the PCA. Three PCA were obtained, which were named according to the variables of greatest effect in the analysis. The groups were called PCA-1: Equipment and contamination; PCA-2: Milking Technology; PCA-3: Scale of production. These results enabled the representation of the different characteristics of the production systems through cluster analysis, where for each PCA was performed a Cluster analysis, always with five groups of dairy production systems being formed with similar characteristics within each group. The formation of the groups enabled to identify that the performance of techniques and hygienic-sanitary managements of milking is more related to the age and producer’s education, linked to time in the dairy business.