Identification of lactoferrin and glutamate receptor‐interacting protein 1 in bovine cervical mucus: A putative marker for oestrous detection          下载免费PDF全文

WY Lee  MH Park  KW Kim  H Song  KB Kim  CS Lee  NK Kim  JK Park  BC Yang  KB Oh  GS Im  HJ Chung 《Reproduction in domestic animals》2017,52(1):16-23

Accurate detection of oestrus is important for artificial insemination. The aim of this study was to identify oestrous‐specific bovine cervical mucus proteins that could be used to determine the optimal time for artificial insemination. Non‐oestrous and controlled internal drug release (CIDR)‐induced oestrous‐stage mucus proteins were purified and subjected to surface‐enhanced laser desorption/ionization time‐of‐flight mass spectrometry, sodium dodecyl sulphate polyacrylamide gel electrophoresis and MALDI‐TOF/TOF. Among differentially expressed proteins, lactoferrin (LF) and glutamate receptor‐interacting protein 1 (GRIP1) showed a twofold increase during the CIDR‐induced oestrous stage compared to the levels in non‐oestrous stage in bovine cervical mucus. The RT‐PCR, Western blotting and immunohistochemistry results showed that LF and GRIP1 expression was significantly increased during the oestrous stage in the uterus. This study demonstrated that bovine LF and GRIP1 exist during the oestrous stage, but not during the non‐oestrous stage, suggesting that cervical mucus LF and GRIP1 are useful oestrous detection markers in cattle.  相似文献   

Diagnosing agrosilvopastoral practices using Bayesian networks     

David N. Barton  Youssouf Cisse  Bocary Kaya  Ibrahima N’Diaye  Harouna Yossi  Abdoulaye Diarra  Souleymane Keita  Amadou Dembele  Daouda Maiga  Graciela M. Rusch  Anders L. Madsen 《Agroforestry Systems》2017,91(2):325-334

This article discusses the potential of BNs to complement the analytical toolkit of agricultural extension. Statistical modelling of the adoption of agricultural practices has tended to use categorical (logit/probit) regression models focusing on a single technology or practice, explained by a number of household and farm characteristics. Here, a Bayesian network (BN) is used to model household-level data on adoption of agrosilvopastoral practices in Tiby, Mali. We discuss the advantages of BNs in modelling more complex data structures, including (i) multiple practices implemented jointly on farms, (ii) correlation between probabilities of implementation of those practices and (iii) correlation between household and farm characteristics. This paper demonstrates the use of BNs for ‘deductive’ reasoning regarding adoption of practices, answering questions regarding the probability of implementation of combinations of practices, conditional on household characteristics. As such, BNs is a complementary modelling approach to logistic regression analysis, which facilitates exploring causal structures in the data before deciding on a reduced form regression model. More uniquely, BNs can be used ‘inductively’ to answer questions regarding the likelihood of certain household characteristics conditional on certain practices being adopted.  相似文献   

Absorption and Synthesis of Immunoglobulins G in Newborn Calves   总被引：1，自引：0，他引：1  

MH Erhard  P Amon  M Younan  Z Ali  M Stangassinger 《Reproduction in domestic animals》1999,34(3-4):173-175

Newborn calves (n=19) got 4.5 liters of pooled colostrum within three feedings in the first 14 hours post natum (p.n.). The immunoglobulin G1 (IgG1) and IgG2 concentrations in the colostrum pool were 54.9 mg/ml and 4.2 mg/ml. The precolostral serum IgG concentrations in calves were 0.15 mg/ml (IgG1; SD 0.24) and 0.06 mg/ml (IgG2; SD 0.14). The highest serum IgG levels p.n. were measured 12 hours after the first colostrum feeding (9.3 mg IgG1/ml (SD 4.0), 0.8 mg IgG1/ml (SD 1.0). Thereafter, the mean IgG1 level was reduced continuously to the significant lowest concentration of 4.9 mg/ml (SD 2.3) at day 28 p.n. and then increased continuously to the significant highest concentration of 9.0 mg/ml (SD 4.8) on day 77 p.n. The mean concentration of IgG2 was lowest on day 11 p.n. (0.5 mg/ml; SD 0.4) and highest on day 77 p.n. (1.2 mg/ml; SD 0.6).
In blood from 198 calves, housed in Germany and sampled between day 4 and 6 p.n., the IgG concentration averaged 4.9 mg/ml serum (SD 3.3). From 93 dams of these calves a sample of the first colostrum could be obtained showing a mean concentration of 22.0 mg IgG/ml (SD 11.0). IgG levels in the colostrum and in the serum showed a correlation of r=0.37.
In Kenia IgG levels of three week old calves from two farms were measured. The calves were always with mother for the first 24 hours. The mean serum IgG concentrations of the calves were 22.5 mg IgG/ml (n=7, SD 6.8) and 15.2 mg IgG/ml (n=15; SD 6.3). Comparing to the serum IgG levels found in calves of our studies in Germany there were significant differences.  相似文献   

Letters to the Editor ◆ Lettres À La Rédaction: Inappropriate comment regarding fees charged by neighboring colleagues — A reply          下载免费PDF全文

Florence Barton 《The Canadian veterinary journal. La revue veterinaire canadienne》1999,40(6):380

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Rice Quality by Spectroscopic Analysis: Precision of Three Spectral Regions     

F. E. Barton  D. S. Himmelsbach  A. M. McClung  E. T. Champagne 《Cereal Chemistry》2000,77(5):669-672

Three types of spectroscopy were used to examine rice quality: near infrared (NIR), Raman, and proton nuclear magnetic resonance (¹H NMR). Samples from 96 rice cultivars were tested. Protein, amylose, transparency, alkali spreading values, whiteness, and degree of milling were measured by standard techniques and the values were regressed against NIR and Raman spectra data. The NMR spectra were used for a qualitative or semiquantitative assessment of the amylose/amylopectin ratio by determining the 1–4 to 1–6 ratio for glucans. Protein can be measured by almost any instrument in any configuration because of the strong relationship between the spectral response and the precision of the reference method. Amylose has an equally strong relationship to the vibrational spectra, but its determination by any reference method is far less precise, resulting in a 10× increase in the standard error of cross‐validation (SECv) or standard error of performance (SEP) with R ² values equal to that of the protein measurement.  相似文献   

Effects of Drying Conditions,Final Moisture Content,and Degree of Milling on Rice Flavor     

Elaine T. Champagne  Karen L. Bett  Bryan T. Vinyard  Bill D. Webb  Anna M. McClung  Franklin E. Barton  Brenda G. Lyon  Karen Moldenhauer  Steve Linscombe  David Kohlwey 《Cereal Chemistry》1997,74(5):566-570

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Long-Term Evaluation of Acidic Atmospheric Deposition on Soils and Soil Solution Chemistry in the Daniel Boone National Forest,USA     

Tyler M. Sanderson  Christopher Barton  Claudia Cotton  Tasios Karathanasis 《Water, air, and soil pollution》2017,228(10):403

Combustion of fossil fuels has contributed to many environmental problems including acid deposition. The Clean Air Act (CAA) was created to reduce ecological problems by cutting emissions of sulfur and nitrogen. Reduced emissions and rainfall concentrations of acidic ions have been observed since the enactment of the CAA, but soils continue to receive some acid inputs. Many soils sensitive to acid deposition are found to have low pH, a loss of base cations, and a shift in the mineral phase controlling the activity of Al³⁺ and/or SO₄ ^2?. If inputs continue, soil may be depleted of base cations and saturated with Al and could cause low forest productivity. Soil samples and soil solutions from pan lysimeters were taken on ridge-tops in the Daniel Boone National Forest to evaluate potential impacts of acid deposition recently and in the future. Sample results were compared to historical data from identical locations. Physicochemical characteristics of the soils revealed that sites were very low in base saturation and pH and high in exchangeable acidity, illustrating change since previously sampled. Soil solution data indicated that sites periodically received high acid inputs leading to saturation of Al in soils and the formation of Al-hydroxy-sulfate minerals. Given these conditions, long-term changes in soil chemistry from acid deposition are acknowledged.  相似文献   

Rapid prediction of gross energy and utilizable energy in cereal food products using near-infrared reflectance spectroscopy   总被引：4，自引：0，他引：4  

Kays SE  Barton FE 《Journal of agricultural and food chemistry》2002,50(5):1284-1289

Near-infrared (NIR) spectroscopy has been used in foods for the rapid assessment of several macronutrients; however, little is known about its potential for the evaluation of the utilizable energy of foods. Using NIR reflectance spectra (1104-2494 nm) of ground cereal products (n = 127) and values for energy measured by bomb calorimetry, chemometric models were developed for the prediction of gross energy and available energy of diverse cereal food products. Standard errors of cross-validation for NIR prediction of gross energy (range = 4.05-5.49 kcal/g), energy of samples after adjustment for unutilized protein (range = 3.99-5.38 kcal/g), and energy of samples after adjustment for unutilized protein and insoluble dietary fiber (range = 2.42-5.35 kcal/g) were 0.053, 0.053, and 0.088 kcal/g, respectively, with multiple coefficients of determination of 0.96. Use of the models on independent validation samples (n = 58) gave energy values within the accuracy required for U.S. nutrition labeling legislation. NIR spectroscopy, thus, provides a rapid and accurate method for predicting the energy of diverse cereal foods.  相似文献   

Determination of Rapid Visco Analyser Parameters in Rice by Near‐Infrared Spectroscopy     

Frederick Meadows  Franklin E. Barton 《Cereal Chemistry》2002,79(4):563-566

The objective of these studies was to find alternative Rapid Visco Analyser (RVA) viscoelastic parameters that are predictable by near‐infrared spectroscopy (NIRS). Currently, RVA instruments are widely used in assessing cooking and processing characteristics in rice. The ability to predict RVA parameters by NIRS would be useful in rapidly determining rice pasting qualities, but NIRS does not correlate with the traditional parameters (peak viscosity, final viscosity, breakdown, consistency, and setback). Alternative RVA parameters were sought by collecting RVA and NIRS data for a total of 86 short, medium, and long grain rice cultivars. The amylose contents were 0.41–24.90% (w/w) and protein concentrations were 8.47–11.35% (w/w). Partial least squares (PLS) regression models generated for the entire NIR spectrum against the RVA curve showed viscosity at 212–228 sec (80°C ± 1) varied linearly with NIR spectra (1,100 to ‐2,500 nm). Regression coefficient values were R = 0.961 for 212 sec and R = 0.903 for 228 sec. The PLS correlation coefficient for the prediction of amylose at 212–228 sec decreases along with the NIRS correlation to the same time frame. An opposite trend was observed for the correlation with protein at 212–228 sec. This comparison suggests the importance of amylose and protein in water absorption during this time frame.  相似文献   

Near‐Infrared Reflectance Analysis for Prediction of Cooked Rice Texture     

Elaine T. Champagne  Karen L. Bett‐Garber  Casey C. Grimm  Anna M. McClung  Karen A. Moldenhauer  Steve Linscombe  Kent S. McKenzie  Franklin E. Barton 《Cereal Chemistry》2001,78(3):358-362

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