Effects of Varying Levels of Whole Cottonseed on Blood, Milk and Rumen Parameters of Dairy Cows

Oğuz, Fatma; Oğuz, Mustafa; Büyükoğlu, Tülay; Şahinduran, Şima

doi:10.5713/ajas.2006.852

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…But DMI and milk production did not differ (P > 0.05) between the cows fed oilseeds and the control diet. The same result was observed before (Dhiman et al, 2000;Karakas Oguz et al, 2006) with cows fed soybeans or cottonseeds. The result can often be traced to the interference of fat with ruminal fermentation or to poor digestibility of fatty acids.…”

Section: Dmi Milk Production and Milk Compositionsupporting

confidence: 85%

Effect of dietary sources of roasted oilseeds on blood parameters and milk fatty acid composition

Liu¹,

Yang²,

Chen³

et al. 2008

Czech J. Anim. Sci.

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ABSTRACT:The aim of this experiment was to investigate the effect of supplementing the basal diet with oilseeds on blood parameters and composition of milk fatty acids, especially conjugated linoleic acid (CLA). Forty-eight lactating Holstein cows in early lactation were used in a randomized block design. The cows in each group were fed the control basal diet (the control diet) or diets containing roasted soybean (RSB), roasted linseed (RLS), roasted sunflower seed (RSS), hulled roasted peanut (HRP) and roasted cottonseed (RCS), respectively. Milk yield and dry matter intake (DMI) were not significantly different. Milk fat percentage and yield decreased (P < 0.05) in RLS, RSS and RCS diets compared with the control. Feeding various oilseeds had no effect on plasma parameters, but it tended to increase concentrations of trans C18:1 and C18:2 in plasma. In milk fat, the concentrations of short and medium fatty acids decreased while C 18 unsaturated fatty acids increased when the cows were fed oilseed diets. Cis-9, trans-11 CLA content increased (P < 0.01) in the milk fat of cows fed oilseeds. RSB treatment produced the highest (P < 0.01) content of cis-9, trans-11 CLA, which was a 60% increase compared with the control. The results indicate that the diets supplemented with oilseeds improve the content of C 18 unsaturated fatty acids and CLA in milk fat, and soybeans seem to be the optimal source to improve the nutritive value of milk compared with other oilseeds.

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Section: Dmi Milk Production and Milk Compositionsupporting

confidence: 85%

Effect of dietary sources of roasted oilseeds on blood parameters and milk fatty acid composition

Liu¹,

Yang²,

Chen³

et al. 2008

Czech J. Anim. Sci.

View full text Add to dashboard Cite

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The evolution and evaluation of dairy cattle models for predicting milk production: an agricultural model intercomparison and improvement project (AgMIP) for livestock

Tedeschi¹,

Cavalcanti²,

Fonseca³

et al. 2014

Anim. Prod. Sci.

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The contemporary concern about anthropogenic release of greenhouse gas (GHG) into the environment and the contribution of livestock to this phenomenon have sparked animal scientists’ interest in predicting methane (CH4) emissions by ruminants. We contend that improving the adequacy of mathematical nutrition model estimates of production of meat and milk is a sine qua non condition to reliably determine ruminants’ worldwide contribution to GHG. Focusing on milk production, we address six basic nutrition models or feeding standards (mostly empirical systems) and five complex nutrition models (mostly mechanistic systems), describe their key characteristics, and highlight their similarities and differences. We also present derivative systems. We compiled a database of milk production information from 37 published studies from six regions of the world, totalling 173 data points: 19 for Africa, 45 for Asia, 16 for Europe, 12 for Latin America, 44 for North America and 37 for Oceania. Four models were used to predict milk production in lactating dairy cows, and the adequacy of their predictions was measured against the observed milk production from our database. Even though these mathematical nutrition models shared similar assumptions and calculations, they have different conceptual and structural foundations inherent to their intended purposes. A direct comparison among these models was further complicated by the different models requiring unique inputs that are very often not available, and the low reliability of the inputs prevents an unbiased assessment of the model predictions. Very few studies have collected the necessary information to run more mechanistic systems, and users have to rely on standard information to populate many model inputs. Study effect was a critical source of variation that limited our ability to conclusively evaluate the models’ applicability under different scenarios of production around the world. Only after study variation was removed from the database did the adequacy of the model predictions of milk production improved, but deficiencies still existed. On the basis of these analyses, we conclude that not all models were suitable for predicting milk production and that simpler systems might be more resilient to variations in studies and production conditions around the world. Improving the predictability of milk production by mathematical nutrition models is a prerequisite to further development of systems that can effectively and correctly estimate the contribution of ruminants to GHG emissions and their true share of the global warming event.

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Effects of Varying Levels of Whole Cottonseed on Blood, Milk and Rumen Parameters of Dairy Cows

Cited by 2 publications

References 11 publications

Effect of dietary sources of roasted oilseeds on blood parameters and milk fatty acid composition

Effect of dietary sources of roasted oilseeds on blood parameters and milk fatty acid composition

The evolution and evaluation of dairy cattle models for predicting milk production: an agricultural model intercomparison and improvement project (AgMIP) for livestock

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