Rumen Volume as a Factor Involved in Individual Sheep Differences

Purser, D. B.; Moir, RJ

doi:10.2527/jas1966.252509x

Cited by 36 publications

(22 citation statements)

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“…The four-variable model for FVOL also contained WT and CP (positive/3) and CPI (negative /3). A positive relationship between WT and FVOL would be expected, because Purser and Moir (1966) observed a positive correlation between sheep weight and empty rumen weight. Also, CPI tended to be higher with rapidly fermented diets (table 2) that would be degraded more quickly and allow for more fluid space.…”

Section: Resultsmentioning

confidence: 96%

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Relationship of Rumen Fluid Dilution Rate to Rumen Fermentation and Dietary Characteristics of Beef Steers

Estell

Galyean

1985

Journal of Animal Science

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Data from seven beef steer trials were compiled and regression analyses used to evaluate relationships among molar proportions of acetate (Ac), propionate (Pr) and butyrate (Bu), total concentration of volatile fatty acids (VFA), rumen ammonia (NH3), rumen pH, rumen fluid dilution rate (FDR), rumen fluid volume (FVOL), body weight (WT), dry matter intake (DMI) and dietary concentration and intake of crude protein (CP and CPI), acid detergent fiber (ADF and ADFI), ash (ASH and ASHI) and metabolizable energy (ME and MEI). Of the six fermentation variables, Pr (negative regression coefficient, beta) and pH (positive beta) were related (P less than .05) to FDR, but only 3 and 12% of the variation in these two variables, respectively, was explained by FDR. When FDR was described by dietary characteristics, ASHI was positively related to FDR (R2 = .16). The best two-variable model for FDR contained DMI (positive beta) and WT (negative beta) and increased R2 to .36. Fluid volume was best described by ME (positive beta; R2 = .20). The two-variable model for FVOL added ASH with a positive partial beta (R2 = .23). When fermentation variables were regressed on dietary characteristics, Ac was best described by ADF (positive beta; R2 = .71). The variable that best described Pr proportion was ADF (negative beta; R2 = .50), and addition of CP (negative beta) and MEI (positive beta) into the Pr model improved R2 to .70. Molar proportion of butyrate was related to CP (positive beta; R2 = .23), and addition of ME (positive beta) to the model improved the R2 to .31. Total VFA concentration was best described by ADFI (positive beta; R2 = .14). An R2 of .29 resulted when ME (positive beta) and CPI (negative beta) were included in the total VFA model. Rumen pH was related to ADF (positive beta; R2 = .45), and addition of CP (positive beta) to the rumen pH model increased R2 to .55. Crude protein concentration was related to ruminal NH3 level (positive beta; R2 = .42), and inclusion of ADFI (positive beta) into the model improved the R2 to .47.

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Section: Resultsmentioning

confidence: 96%

“…In the four-variable model, a slight positive relationship of DMI and FVOL was observed. Purser and Moir (1966) and Putnam et al (1966) showed that rumen volume (fluid + particulate) increased when DMI increased. Adams and Kartchner (1984) reported an inverse relationship between DMI and FVOL.…”

Section: Resultsmentioning

confidence: 99%

Relationship of Rumen Fluid Dilution Rate to Rumen Fermentation and Dietary Characteristics of Beef Steers

Estell

Galyean

1985

Journal of Animal Science

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“…Reviews by Allison (1985) and Allen (1996) 444 suggest that one factor limiting DMI is GIT capacity and in particular the capacity of the 445 reticulo-rumen. Rumen capacity was not measured in the present study but the reticulo-rumen 446 weight was measured and it has been shown that there is a positive correlation between rumen 447 capacity and rumen weight (Purser and Moir, 1966). In the present study, differences inreticulo-rumen weight as a proportion of BW are reflected in differences in GIT weight as a 449 proportion of BW among genotypes.…”

mentioning

confidence: 83%

Gastrointestinal tract size, total-tract digestibility, and rumen microflora in different dairy cow genotypes

Beecher

Buckley

Waters

et al. 2014

Journal of Dairy Science

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Interpretive Summary 67 DAIRY COW DIGESTIBILITY 68 3Beecher 69 70This study aimed to measure if differences existed among dairy cow genotypes in 71 gastrointestinal tract size, digestibility and selected rumen microbial populations. Jersey and 72JerseyHolstein-Friesian cows had proportionally larger gastrointestinal tract weight than 73Holstein-Friesian cows. Jersey cows had a superior total tract digestibility and lower relative 74 abundance of Ruminococcus flavefaciens in the rumen than Holstein-Friesian cows. These 75 differences could contribute to the production efficiency differences among genotypes 76 previously reported. 77The superior milk production efficiency of Jersey (JE) and JerseyHolstein-Friesian 80 (JEHF) cows compared with Holstein-Friesian (HF) has been widely published. The 81 biological differences among dairy cow genotypes, which could contribute to the milk 82 production efficiency differences, have not however been as widely studied. A series of 83 component studies were conducted using cows sourced from a longer-term genotype 84 comparison study (JE, JEHF and HF). The objectives were to: (i) determine if differences 85 exist among genotypes regarding gastrointestinal tract (GIT) weight, (ii) assess and quantify 86 if the genotypes tested differ in their ability to digest perennial ryegrass, and (iii) examine the 87 relative abundance of specific rumen microbial populations potentially relating to feed 88 digestibility. Over 3 yr the GIT weight was obtained from 33 HF, 35 JE and 27 JEHF non-89 lactating cows post-slaughter. During the dry period the cows were offered a perennial 90 ryegrass silage diet at maintenance level. The unadjusted GIT weight was heavier for the HF 91 than for the JE and JEHF. When expressed as a proportion of bodyweight (BW) the JE and 92 JEHF had a heavier GIT weight than the HF. In vivo digestibility was evaluated on 16 each 93 of JE, JEHF and HF lactating dairy cows. Cows were individually stalled allowing for the 94 total collection of feces and were offered freshly cut grass twice daily. During this time daily 95 milk yield, BW and dry matter intake (DMI) were greater for HF and JEHF than for JE. 96Milk fat and protein concentration ranked oppositely. Daily milk solids yield did not differ 97 among the 3 genotypes. Intake capacity, expressed as DMI/BW, tended to be different among 98 treatments, with the JE having the greatest DMI/BW, the HF the lowest and the JEHF cows 99 were intermediate. Production efficiency, expressed as milk solids/DMI, was higher for the JE 100 than HF and JEHF. Digestive efficiency, expressed as digestibility of dry matter, organic 101 matter, N, neutral detergent fibre and acid detergent fibre, was higher for JE than HF. In 102 grazing cows (n=15 per genotype) samples of rumen fluid, collected using a transesophageal 103 5 sampling device, were analyzed to determine the relative abundance of rumen microbial 104 populations of cellulolytic bacteria, protozoa and fungi. These are critically important for 105 fermentation of...

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“…A conversion factor of 0.125 (1:8 ratio) was used to adjust the quantity of test material placed into the jar, considering that the incubation jar was 1 L and assuming an 8-L rumen (Purser and Moir, 1966).…”

Section: In Vitro Rumen Systemmentioning

confidence: 99%

A modified in vitro larvae migration inhibition assay using rumen fluid to evaluate Haemonchus contortus viability

Whitney¹,

Lee²,

Klein

et al. 2011

Veterinary Parasitology

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Rumen Volume as a Factor Involved in Individual Sheep Differences

Cited by 36 publications

References 0 publications

Relationship of Rumen Fluid Dilution Rate to Rumen Fermentation and Dietary Characteristics of Beef Steers

Relationship of Rumen Fluid Dilution Rate to Rumen Fermentation and Dietary Characteristics of Beef Steers

Gastrointestinal tract size, total-tract digestibility, and rumen microflora in different dairy cow genotypes

A modified in vitro larvae migration inhibition assay using rumen fluid to evaluate Haemonchus contortus viability

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