Technical note: a near-infrared reflectance spectroscopy technique to predict particle size of starch within corn silage

Starch particle size characteristics of 81 diverse corn silage samples, which included 27 combinations of hybrid, planting dates, and harvest dates subjected to 3 different degrees of kernel processing, were determined via vertical shaking through 9 screens with nominal square apertures of 19.0, 13.2, 9.5, 6.7, 4.75, 3.35, 2.36, 1.18, and 0.6 mm and a pan. Starch content of dry matter remaining on each screen and on the pan for each corn silage was determined, and geometric mean particle size (GMPS, μm), starch particles(SP)/g, starch surface area (SSA, cm²/g), kernel processing score (KPS), % starch < 4.75 mm, and the percentage of total starch remaining on each screen of the vertical shakers were calculated. Near-infrared reflectance spectra were obtained by scanning 3 types of samples: 1 mm of dried ground corn silage; whole undried, unground corn silage; and undried, unground corn silage that passed through a 19-mm screen. Calibrations to predict GMPS, SP, SSA, and KPS characteristics of corn silage starch were attempted from each spectral origin. Calibrations to predict GMPS, SP, SSA, KPS, and the percentage of total starch retained on screens of the vertical shaker was unattainable (R² < 0.45) using spectra obtained from 1 mm of dried ground corn silage or whole undried, unground corn silage. However, reasonable near-infrared reflectance spectra equations (R² > 0.81) for GMPS, SSA, and KPS were attained using spectra from undried, unground corn silage that passed through a 19-mm screen. This technique holds promise as a rapid and efficient method to determine particle size characteristics of starch within corn silage.     

Technical Note: A Method to Quantify Prolamin Proteins in Corn That Are Negatively Related to Starch Digestibility in Ruminants

Compared with floury or high-moisture corns, dry corn with a greater percentage of vitreous endosperm has been demonstrated to be negatively related to starch digestibility and milk yield of lactating dairy cows. Starch granules in corn are encapsulated by hydrophobic prolamin proteins that are innately insoluble in the rumen environment. Corn prolamin proteins are named zein, and laboratory methods to quantify zein exist but are seldom employed in ruminant nutrition because of their arduous nature. In this study, advances in cereal chemistry were combined with rapid turbidimetric methods yielding a modified turbidimetric zein method (mTZM) to quantify zein in whole corn. Ten dry corns containing unique endosperms were evaluated using the mTZM. Corns with flint, dent, floury, or opaque endosperms were found to contain 19.3, 11.3, 5.8, and 4.9 g of zein/100 g of starch, respectively. The ability of mTZM to differentiate corn endosperm types as defined by least significant difference was 2.6 g of zein/100 g of starch. Ten high-moisture corns of varying moisture content were also evaluated using the mTZM. Zein content of high-moisture corns as defined by mTZM ranged from 8.3 to 2.8 g of zein/100 g of starch with a least significant difference of 1.2 g of zein/100 g of starch. The mTZM determined that zein contents of high-moisture, floury, and opaque corns were markedly less than those of flint and dent dry corns, indicating that mTZM has the ability to quantify starch granule encapsulation by hydrophobic prolamin proteins in whole corn.     

Technical note: Estimation of feed intake while grazing using a wireless system requiring no halter

A simple, compact bite counter was used to record dairy cow jaw movements. This information was used to estimate feed intake. The device is composed of a pendulum, a microcontroller, and a transmitter attached to a collar. The microcontroller memory can store the number of bites over 10-min intervals for up to 3 mo and has a battery life of more than 1 yr. The number of bites measured by personal observation, and the values reported by the counter were compared for 5 multiparous, nonlactating Holstein cows. The correlation was linear with an R² value of 0.9, unaffected by rumination, and little affected by walking. The collar system avoided the problems often experienced with counters attached to halters. The utility of the bite counter recordings in estimating intake was tested using 8 multiparous lactating cows. The slopes of the regression lines relating the number of bites to feed intake were dependent on the level of available pasture mass (120 or 190 g standing dry matter/m²). The feed intake could be estimated by applying linear regression to the number of bite counts versus pasture disappearance. In both cases the R² values of the regression lines were >0.7. Although the counter recorded jaw movements during grazing when the head was down, it did not record rumination or mastication when the head was raised because the counter/collar did not contact the jaw in this position. The bite counters were easy to attach to the cows using the collar and could be used effectively by farmers and researchers.     

Technical note: Effects of forage protein-binding polyphenols on chemistry of dairy excreta

Forage chemistry can affect intake, digestion, milk production, and manure excretion. Although information is available on the effects of forage protein-binding polyphenols on small ruminant production and manure excretion, little information is available for dairy cattle. The objective of this study was to compare fecal and urinary N excretion of diets formulated with alfalfa (Medicago sativa L.) silage versus condensed tannin-containing birdsfoot trefoil (Lotus corniculatus) or o-quinone-containing red clover (Trifolium pratense L.) silages. Significantly higher concentrations of N were excreted in urine by lactating Holstein dairy cows fed red clover and low-tannin birdsfoot trefoil (8.2 g/L) than by cows fed high-tannin birdsfoot trefoil or alfalfa (7.1 g/L). Fecal N concentrations were similar (33.6 g/kg) among all diets. Dairy cows fed red clover had lower rates of urinary N excretion (5.0 g/h) compared with other forages (6.6 g/h). Fecal N excretion rates were lowest for red clover (4.1 g/h), intermediate for alfalfa (5.8 g/h), and greatest for cows fed high- and low-tannin birdsfoot trefoil (6.4 g/h). The ratio of fecal N to urinary N was highest for high-tannin trefoil, lowest for alfalfa and red clover, and higher in excreta collected in morning than evening. Concentrations of neutral detergent fiber (NDF) in feces, of N in NDF (NDIN) and acid detergent fiber (ADIN), and relative amounts of NDIN and ADIN excreted in feces were significantly higher from cows fed high-tannin birdsfoot trefoil than the other silage types. Study results imply that collection of excreta for environmental studies needs to consider forage polyphenol and diurnal effects on chemistry of dairy excreta.     

On-line prediction of fresh pork quality using visible/near-infrared reflectance spectroscopy

Visible/near-infrared (Vis/NIR) spectroscopy was tested to predict the quality attributes of fresh pork (content of intramuscular fat, protein and water, pH and shear force value) on-line. Vis/NIR spectra (350–1100 nm) were obtained from 211 samples using a prototype. Partial least-squares regression (PLSR) models were developed by external validation with wavelet de-noising and several pre-processing methods. The 6th order Daubechies wavelet with 6 decomposition levels (db6–6) showed high de-noising ability with good information preservation. The first derivative of db6–6 de-noised spectra combined with multiplicative scatter correction yielded the prediction models with the highest coefficient of determination (R²) for all traits in both calibration and validation periods, which were all above 0.757 except for the prediction of shear force value. The results indicate that Vis/NIR spectroscopy is a promising technique to roughly predict the quality attributes of intact fresh pork on-line.     

Technical note: Flow cytometric identification of bovine milk neutrophils and simultaneous quantification of their viability

The aim of the present study was to develop a flow cytometric procedure for the quantification of the proportion of viable, apoptotic, and necrotic polymorphonuclear neutrophilic leukocytes (PMNL) isolated from both low- and high-somatic-cell-count quarter milk samples. Milk PMNL were differentiated from other cells by indirect fluorescent labeling using a primary anti-bovine granulocyte monoclonal antibody (CH138A) and an Alexa 647-labeled secondary antibody. Polymorphonuclear neutrophilic leukocytes were identified flow cytometrically based on their cytoplasmic granularity and CH138A-positivity. Additional labeling with annexin-V-fluorescein isothiocyanate and propidium iodide was used to determine milk PMNL viability. Thirty milk samples were run in parallel to assess the repeatability of the immunoassay and 6 repeated measurements per sample were performed to assess the instrument stability. Fluorescence microscopic verification of the CH138A staining pattern showed both a high sensitivity (90.9%) and specificity (92.3%). The combination of the side-scatter properties of granulated PMNL and CH138A-Alexa 647 positivity allows the distinction of labeled PMNL from other milk cells and particles that may bind nonspecifically, and from autofluorescent particles present in milk. Quantification of the proportion of PMNL and viable, apoptotic, and necrotic subpopulations in parallel samples gave repeatable results with concordance correlation coefficients varying between 0.93 and 0.99. The average coefficient of variation for repeated measurements in identical samples ranged between 4.2 and 9.7%. In conclusion, this is the first flow cytometric method suited for the simultaneous quantification of viable, apoptotic, and necrotic bovine milk PMNL in a straightforward manner.     

基于近红外光谱的橄榄油中玉米油掺杂量检测

利用近红外光谱和模式识别技术建立了橄榄油中掺杂玉米油的快速鉴别方法。对191个橄榄油样本及混合油样本（玉米油和橄榄油）进行近红外光谱扫描,并对近红外光谱进行一阶导数和平滑处理,利用主成分分析法（PCA）对数据进行降维,通过前三个主成分的载荷图确定了相关性较大的特征波段（7520⁶927cm-1、6270⁵440cm-1和4970⁴400cm-1）,分别在3个波段内利用偏最小二乘回归（PLS）方法建立了玉米油含量的预测模型。结果表明在6270⁵440cm-1波段内,因子数为7,建立的模型精密度和稳定性最好,在玉米油质量分数为0.5%¹00%的范围内,校正集样本和检验集样本的R2均能达到0.9999,标准偏差在0.126⁰.139之间。因此,利用近红外光谱可以实现橄榄油品质的快速无损分析,以合频波段（6270⁵440cm-1）为建模区域可以得到更好的预测效果。      

Technical note: The use of a telemetric system to continuously monitor ruminal temperature and to predict ruminal pH in cattle

The objective of this study was to compare a telemetric monitoring system to an existing in situ methodology (conventional system) of monitoring ruminal temperature and to validate its use to detect changes in ruminal pH (RpH). Four nonlactating, ruminally cannulated Holstein dairy cows (760 ± 30 kg of body weight, mean ± standard deviation) housed in a tie-stall facility were used in the study. The experiment was conducted during the month of May and the recorded ambient temperature was 8.0 ± 2.0°C (mean ± SD). The cows were fed a diet consisting of chopped mixed hay (MH; 11.3% crude protein, 59.7% neutral detergent fiber, 17.3% nonfiber carbohydrate, 3.1% ether extract, and 11.3% ash; dry matter basis) during wk 1 and were gradually switched to a high-grain (HG) diet (11.6% crude protein, 30.2% neutral detergent fiber, 50.7% nonfiber carbohydrate, 3.0% ether extract, and 6.0% ash; dry matter basis) during wk 2. A conventional system that utilized an indwelling electrode was used to monitor RpH and ruminal temperature (RT_C) during d 6 and 7 of each week. The indwelling electrode was attached to a telemetric bolus and ruminal temperature (RT_T) was logged into a personal computer. The daily mean, minimum, and maximum RpH and duration (min/d) RpH <6.2 were 6.39 ± 0.04, 6.10 ± 0.05, 6.66 ± 0.03, and 107 ± 50 during MH feeding (wk 1) and 5.84 ± 0.03, 5.35 ± 0.05, 6.35 ± 0.03, and 1,257 ± 40 during HG feeding (wk 2), respectively, and were different across diets (week effect). Ruminal pH did not decrease below 5.6, 5.8, and 6.0 during MH feeding; mean duration of RpH <5.6, <5.8, and <6.0 during HG feeding was 279 ± 149, 611 ± 139, and 894 ± 101, respectively. Mean daily RT_C increased from 37.5?C ± 0.1 in wk 1 to 38.6°C ± 0.1 in wk 2; there was also an increase from wk 1 to wk 2 in minimum and maximum daily RT_C and durations (min/d) of RT_C >38.0, >38.2, >38.4, and >38.6°C. These increases were not detectable with the telemetric system. Ruminal temperature obtained by the conventional system was 0.68°C ± 0.005 lower than RT_T during MH feeding (wk 1), whereas RT_C was 0.04°C ± 0.004 higher than RT_T during HG feeding (wk 2). Daily minimum RpH was associated with maximum daily RT_C and RT_T during MH and HG feeding (R² = 0.88 and 0.43, respectively). There was a high association between low RpH and high ruminal temperature, with the highest associations being between duration (min/d) of RpH <6.0 and duration of RT_C >39.0°C (R² = 0.68) and RT_T >39.2°C (R² = 0.72). Unlike the telemetric system, the conventional system requires cow cannulation; therefore, the current study provided a noninvasive alternative for measuring ruminal temperature and the prediction of RpH. Additional studies are needed to develop an algorithm that accounts for diet type, seasonal variation in temperature, and core body temperature to predict subacute ruminal acidosis effectively on farm.     

Technical note: Milk composition in mice—Methodological aspects and effects of mouse strain and lactation day

Analysis in individual mouse milk samples is restricted by small sample volumes and hindered by high fat contents. Miniaturized methods were developed for the analysis of dry matter (DM), crude fat, crude protein (CP), and lactose in individual samples of ≤200 μL of fresh or previously frozen mouse milk and used to compare milk from the mouse strain DU6, the largest growth-selected mouse line worldwide, with unselected mice (CON) on lactation d 3, 14, and 18. Individual milk samples were collected by means of a self-constructed milking machine. Aliquots of 10 μL of milk were used to measure DM [coefficient of variation (CV) <2.1%], which was subsequently used to analyze nitrogen for calculation of CP (CV 2.7%). Crude fat was determined in 100 μL via a miniaturized Röse-Gottlieb method (CV 2.8%). An HPLC protocol was used to analyze lactose in 20 μL of diluted whey (CV 5.3%). The miniaturized methods gave similar results compared with conventional approaches. Homogenization was the most important factor affecting milk composition and its reproducibility. Milk storage at −20°C had no effect on composition. Irrespective of the mouse strain, maximum values of 45.5% DM, 29.8% fat, and 12.7% CP were observed at d 14. The greatest lactose contents were found on d 18 (2.41%). Milk lactose concentration at d 3 was lower in DU6 (1.13 ± 0.10%) than CON (1.67 ± 0.18%). The method provides an accurate assessment of mouse milk composition.     

Technical note: Use of laser capture microdissection for the localization of tissue-specific global gene expression in rumen papillae

Gene expression profiling of bovine rumen tissue has provided insight into dietary regulation of rumen epithelial function. However, most studies have relied on a heterogeneous sample with multiple tissue and cell types. The objective of this study was to use laser capture microdissection to characterize RNA expression profiling of epithelial and connective tissues of rumen papillae. Papillae were biopsied from 3 lactating dairy cows, frozen in cryomolds, cut into sections, stained, and dehydrated, and epithelial and connective cells were collected using laser capture microdissection. Total RNA was isolated from epithelial and connective tissue and global gene expression was assessed using the Affymetrix GeneChip Bovine Gene 1.0 ST array (Affymetrix, Santa Clara, CA). Data preprocessing was conducted using the robust multi-array average method, and detection of differentially expressed genes (DEG) was determined using ANOVA. The model included the fixed effect of tissue, and a Benjamini-Hochberg false discovery rate of 0.1 was applied to DEG. We found 382 DEG between epithelial and connective tissues. Analysis of these DEG using Ingenuity Pathway Analysis (Redwood City, CA) found that epithelial and connective tissues in rumen papillae expressed distinct RNA profiles (signatures). The epithelial signature was enriched with RNA encoding tight junction and metabolic genes, whereas connective signatures were enriched with RNA encoding proteins involved in cell structure and extracellular matrix composition. The molecular functions enriched within the top networks between the 2 tissues from the Ingenuity Pathway Analysis included connective tissue disorders, dermatological diseases and conditions, gastrointestinal disease, tissue morphology, and tissue development. In summary, it is possible to use laser capture microdissection for the localization of tissue-specific global gene expression in rumen papillae. This approach may be useful to improve the accuracy and interpretation of molecular measurements in future studies.     

Technical note: Selecting the best references in gene expression experiments in liver of cows receiving glucogenic supplements during the transition period

Measuring gene expression is a commonly used method to monitor the reaction of cells and tissues to changing nutritional or physiological conditions. Selection of appropriate reference genes is a crucial point in gene expression experiments using real-time PCR techniques. Expression of the “ideal” reference gene should not be affected by the experimental treatments or physiological state of the tissue, organ, or the whole organism. Many programs are available from which to choose the most stable reference gene. In this study, 4 algorithms—ΔCt, BestKeeper, NormFinder, and geNorm—were used to assess the expression stability of 5 candidate reference genes: β-actin (ACTB), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), ribosomal protein S9 (RPS9), ribosomal protein L32 (RPL32), and TATA-box-binding protein (TBP), for use in an experiment aimed at measuring gene expression in the liver of cows fed glucogenic supplements in the transition from pregnancy to lactation. The results demonstrated that RPS9 and RPL32 were the most stably expressed in the liver under the conditions of the present experiment; the least stably expressed was ACTB.     

Characterisation of grain quality in diverse sorghum germplasm using a Rapid Visco-Analyzer and near infrared reflectance spectroscopy

BACKGROUND: Twenty‐two diverse sorghum landraces, classified as normal and opaque types obtained from Ethiopia, were characterised for grain quality parameters using near infra‐red spectroscopy (NIRS), chemical and Rapid Visco‐Analyzer (RVA) characteristics. RESULTS: Protein content ranged from 77 to 182 g kg^?1, and starch content from 514 to 745 g kg^?1. The NIRS analysis indicated the pig faecal digestible energy range from 14.6 to 15.7 MJ kg^?1 as fed, and the ileal digestible energy range from 11.3 to 13.9 MJ kg^?1 as fed. The normal sorghums had higher digestible energy than the opaque sorghums, which exhibited lower RVA viscosities, and higher pasting temperatures and setback ratios. The RVA parameters were positively correlated with the starch content and negatively correlated with the protein content. The normal and opaque types formed two distinct groups based on principal component and cluster analyses. CONCLUSION: The landraces were different for the various grain quality parameters with some landraces displaying unique RVA and NIRS profiles. This study will guide utilisation of the sorghum landraces in plant improvement programs, and provides a basis for further studies into how starch and other constituents behave in and affect the properties of these landraces. Copyright © 2011 Society of Chemical Industry     

Technical Note: Effect of Sample Processing Procedures on Measurement of Starch in Corn Silage and Corn Grain

Methods for processing feedstuffs before analysis can affect analytical results. Effects of drying temperature (corn silage), preservation method (corn grain), and grinding method (corn silage and grain) on starch analysis values were evaluated. Corn silage samples dried at 55 or 105°C and grain samples dried at 55°C were ground to pass the 1-mm screen of an abrasion mill or cutting mill and analyzed for free glucose and starch corrected for free glucose. Starch analyses were performed in triplicate to assess the effect of treatment on precision of starch determination. Drying at 105°C decreased free glucose and tended to decrease starch detected in silage. Decreased free glucose and starch values in silages dried at 105°C may have been caused by the destruction of glucose and production of Maillard products through nonenzymatic browning. Maillard products with reducing activity could potentially interfere with the glucose oxidase-peroxidase glucose detection method used. Compared with the cutting mill, grinding samples through the abrasion mill increased the precision of starch measures in silage, likely due to the effect of the finer particle size produced by the abrasion mill allowing more accurate subsampling of a more homogeneous matrix. Starch values were greater for grain ground with an abrasion mill than with a cutting mill, with the difference greater for dry-rolled than for high-moisture corn. For starch analysis of corn silage and corn grain, drying at lower temperatures (55°C) in forced-air ovens and grinding through the 1-mm screen of an abrasion mill or its equivalent is recommended.     

Technical note: Development of a challenge model for Streptococcus uberis mastitis in dairy heifers

A challenge model for experimentally inducing Streptococcus uberis mastitis in bred dairy heifers was developed. Qualifying heifers (n = 7) exhibited antibody titers of < 1:10,000 against Strep. uberis antigens and were free of intramammary infections (IMI). Two contralateral quarters of each heifer were assigned to receive an infusion of Strep. uberis (1,000 to 2,000 cfu); remaining quarters served as unchallenged controls. For a successful challenge and infection, 3 of 4 consecutive mammary secretion samples had to culture positive for Strep. uberis. Six of the 7 heifers were challenged successfully in both infused quarters with a mean dose of 1,080 cfu; once confirmed, infections were treated with a one-time infusion of nonlactating cow therapy. Before challenge, mammary secretion leukocyte counts averaged 8.4 × 10⁶/mL in all quarters. At 24 h after challenge, leukocyte count increased to 18.4 × 10⁶/mL in challenged quarters, peaking on d 5 at 24.3 × 10⁶/mL; unchallenged quarters remained at ≤ 10.4 × 10⁶/mL, but increased to 15.2 × 10⁶/mL on d 7 and then decreased. Before challenge, macrophages predominated (81%) in mammary secretions followed by lymphocytes (15.3%) and neutrophils (3.7%). By 24 h after challenge, neutrophils increased in challenged quarters and predominated for the duration of the trial (65.3 to 70%), whereas macrophages predominated in unchallenged control quarters (65.2 to 75.2%). The challenge model was successful in establishing Strep. uberis IMI in 85.7% of animals, and IMI were controlled (100% cure) by administering nonlactating cow therapy. All heifers calved free of IMI and antimicrobial residues, with milk production similar to that of herd mates and with somatic cell counts (SCC) < 200,000 cells/mL.     

Non-destructive detection of pesticide residues in cucumber using visible/near-infrared spectroscopy

The feasibility of using visible/near-infrared (Vis/NIR) spectroscopy was assessed for non-destructive detection of diazinon residues in intact cucumbers. Vis/NIR spectra of diazinon solution and cucumber samples without and with different concentrations of diazinon residue were analysed at the range of 450–1000 nm. Partial least squares-discriminant analysis (PLS-DA) models were developed based on different spectral pre-processing techniques to classify cucumbers with contents of diazinon below and above the MRL as safe and unsafe samples, respectively. The best model was obtained using a first-derivative method with the lowest standard error of cross-validation (SECV = 0.366). Moreover, total percentages of correctly classified samples in calibration and prediction sets were 97.5% and 92.31%, respectively. It was concluded that Vis/NIR spectroscopy could be an appropriate, fast and non-destructive technology for safety control of intact cucumbers by the absence/presence of diazinon residues.     

Determination of zearalenone in corn flour and a cheese snack product using high-performance liquid chromatography with fluorescence detection

The presence of the mycotoxin zearalenone in corn flour and a cheese snack derived from this was determined. Thirty-eight samples (corn flour and cheese snacks) of different brands were analysed for zearalenone using high-performance liquid chromatography with fluorescence detection. Zearalenone was detected in corn flour and cheese snack samples with average content of 0.377 ppm (maximum, 0.889 ppm) and 0.832 ppm (maximum, 1.471 ppm) respectively. The recovery from spiked corn flour and cheese snack samples ranged from 70-87%. The method had a limit of detection of 0.01 µg ml^-1. The linearity of method was determined (y = 5.88 x + 0.25, r² = 0.9999), and optimum assay range was 0.05-30 µg ml^-1. The occurrence of zearalenone in the maize product confirms the need to assess the exposure of the Iranian population to this mycotoxin.     

Technical note: Three-dimensional imaging of rumen tissue for morphometric analysis using micro-computed tomography

Rumen development in calves has been evaluated by measuring papillae length, width, and density using microscopy for over 50 yr. Although common in the literature, disadvantages to this method exist, such as large variations in rumen papillae size and shape, small numbers of total papillae being measured, and the time required. The objective of this study was to develop a more effective technique for assessing rumen papillae using micro-computed tomography (micro-CT) and to compare this technique with microscopy. Rumen tissue was collected from the ventral sac of 20 postweaned bull calves at 55 d of age, immediately fixed in 10% neutral buffered formalin for 48 h, and stored in 70% ethanol at 4°C before the contrast enhancement. After evaluation of contrast-enhancement protocols, it was determined that mercury chloride provided the most pronounced contrast for accurate micro-CT imaging based on relative density of the papillae. A 1-cm² tissue section from the ventral sac of all bull calves was tensioned on a rapid prototyped curved plastic holder and imaged at 45 μm resolution for 56 min using a GE Locus Explore micro-CT (General Electric, Milwaukee, WI). MicroView V2.2 software (General Electric) was used to create a 3-dimensional virtual model of the entire sample. The length and width of papillae were measured 3-dimensionally and compared with measurements of papillae under the light microscope taken from the same region. The length and width measurements using micro-CT (2.47 ± 0.12 and 0.55 ± 0.01mm) compared with light microscope (2.96 ± 0.03 and 0.86 ± 0.01 mm) were significantly smaller. The difference may reflect a more accurate determination in the base of the rumen tissue with micro-CT or the specificity of mercury chloride to bind only to intact rumen tissue. The mean number of papillae per centimeter squared viewed using micro-CT was 128.5 ± 33.9 with a total surface area of 681.8 ± 112.4 mm² and volume of 156 mm³ per sample. Micro-CT data demonstrated that surface area and volume are positively associated and that papillae length was negatively associated with papillae per centimeter squared and positively associated with total volume of tissue section. This study represents the first time that micro-CT has been being used to assess morphology of rumen tissue. Micro-CT has the potential to improve the accuracy and efficiency of rumen tissue measurements; however, more standardization of each factor involved in tissue preparation, imaging, and location of papillae measurements is required.     

Technical note: Evaluation of a scoring system for rumen fill in dairy cows

Changes in feed intake are useful in early detection of disease in dairy cows. Cost and complexity limit our ability to monitor dry matter intake (DMI) of individual cows kept in loose-housing systems. A 5-point subjective scoring system has been developed to visually describe rumen fill, but no work to date has evaluated these scores as an indicator of feed intake. The objective of this study was to evaluate the performance of within-cow changes in visual rumen fill scores as estimates of changes of DMI and feed intake in dairy cows. Our results illustrate that rumen fill scored on a scale from 1 to 5 has substantial intra- (Cohen's kappa coefficient = 0.69) and interobserver (Cohen's kappa coefficient = 0.68) repeatability. Within-cow changes in visual rumen fill score are correlated with changes in DMI (Spearman's rank correlation = 0.68). The depth of the paralumbar fossa (mean ± SD; 5.6 ± 0.9 cm) changes considerably (up to 4.8 cm) within 70 ± 5 min. This more objective measure was also correlated with visual rumen fill scores (Spearman's rank correlation = −0.62). Our results indicate that subjective rumen fill scores are statistically associated with both an objective measure of paralumbar fossa indentation and feed intake. However, much of the variation in visual rumen fill scores is not associated with either measure, suggesting that caution is required in clinical usage of these scores.