Literature DB >> 12968712

Comparison of three techniques for estimating the forage intake of lactating dairy cows on pasture.

B Macoon1, L E Sollenberger, J E Moore, C R Staples, J H Fike, K M Portier.   

Abstract

Quantifying DMI is necessary for estimation of nutrient consumption by ruminants, but it is inherently difficult on grazed pastures and even more so when supplements are fed. Our objectives were to compare three methods of estimating forage DMI (inference from animal performance, evaluation from fecal output using a pulse-dose marker, and estimation from herbage disappearance methods) and to identify the most useful approach or combination of approaches for estimating pasture intake by lactating dairy cows. During three continuous 28-d periods in the winter season, Holstein cows (Bos taurus; n = 32) grazed a cool-season grass or a cool-season grass-clover mixture at two stocking rates (SR; 5 vs. 2.5 cows/ha) and were fed two rates of concentrate supplementation (CS; 1 kg of concentrate [as-fed] per 2.5 or 3.5 kg of milk produced). Animal response data used in computations for the animal performance method were obtained from the latter 14 d of each period. For the pulse-dose marker method, chromium-mordanted fiber was used. Pasture sampling to determine herbage disappearance was done weekly throughout the study. Forage DMI estimated by the animal performance method was different among periods (P < 0.001; 6.5, 6.4, and 9.6 kg/d for Periods 1, 2, and 3, respectively), between SR (P < 0.001; 8.7 [low SR] vs. 6.3 kg/d [high SR]) and between CS (P < 0.01; 8.4 [low CS] vs. 6.6 kg/d [high CS]). The period and SR effect seemed to be related to forage mass. The pulse-dose marker method generally provided greater estimates of forage DMI (as much as 11.0 kg/d more than the animal performance method) and was not correlated with the other methods. Estimates of forage DMI by the herbage disappearance method were correlated with the animal performance method. The difference between estimates from these two methods, ranging from -4.7 to 5.4 kg/d, were much lower than their difference from pulse-dose marker estimates. The results of this study suggest that, when appropriate for the research objectives, the animal performance or herbage disappearance methods may be useful and less costly alternatives to using the pulse-dose method.

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Year:  2003        PMID: 12968712     DOI: 10.2527/2003.8192357x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  5 in total

1.  Pre-Grazing Herbage Mass Affects Grazing Behavior, Herbage Disappearance, and the Residual Nutritive Value of a Pasture during the First Grazing Session.

Authors:  Luis F Piña; Oscar A Balocchi; Juan Pablo Keim; Rubén G Pulido; Felipe Rosas
Journal:  Animals (Basel)       Date:  2020-01-28       Impact factor: 2.752

2.  The Effect of Sustainable Feeding Systems, Combining Total Mixed Rations and Pasture, on Milk Fatty Acid Composition and Antioxidant Capacity in Jersey Dairy Cows.

Authors:  Anita Șanta; Daniel Mierlita; Stelian Dărăban; Claudia Terezia Socol; Simona Ioana Vicas; Mihai Șuteu; Cristina Maria Maerescu; Alina Stefania Stanciu; Ioan Mircea Pop
Journal:  Animals (Basel)       Date:  2022-04-01       Impact factor: 2.752

Review 3.  Quantification of methane emitted by ruminants: a review of methods.

Authors:  Luis Orlindo Tedeschi; Adibe Luiz Abdalla; Clementina Álvarez; Samuel Weniga Anuga; Jacobo Arango; Karen A Beauchemin; Philippe Becquet; Alexandre Berndt; Robert Burns; Camillo De Camillis; Julián Chará; Javier Martin Echazarreta; Mélynda Hassouna; David Kenny; Michael Mathot; Rogerio M Mauricio; Shelby C McClelland; Mutian Niu; Alice Anyango Onyango; Ranjan Parajuli; Luiz Gustavo Ribeiro Pereira; Agustin Del Prado; Maria Paz Tieri; Aimable Uwizeye; Ermias Kebreab
Journal:  J Anim Sci       Date:  2022-07-01       Impact factor: 3.338

4.  Consequences of Grazing Cessation for Soil Environment and Vegetation in a Subalpine Grassland Ecosystem.

Authors:  Olga Gavrichkova; Gaia Pretto; Enrico Brugnoli; Tommaso Chiti; Kristina V Ivashchenko; Michele Mattioni; Maria Cristina Moscatelli; Andrea Scartazza; Carlo Calfapietra
Journal:  Plants (Basel)       Date:  2022-08-15

5.  GHG Emissions from Dairy Small Ruminants in Castilla-La Mancha (Spain), Using the ManleCO2 Simulation Model.

Authors:  Gregorio Salcedo; Oscar García; Lorena Jiménez; Roberto Gallego; Rafael González-Cano; Ramón Arias
Journal:  Animals (Basel)       Date:  2022-03-21       Impact factor: 2.752

  5 in total

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