Browsing by Author "Appuhamy, Jayasooriya Arachchige Don Ranga Niroshan"

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    Phenotypic Relationships between Lactation persistency and Common Health Disorders in Dairy Cows
    Appuhamy, Jayasooriya Arachchige Don Ranga Niroshan (Virginia Tech, 2006-11-10)
    Lactation persistency is defined as the ability of a cow to maintain production at a higher level after peak yield. Hypothetically, more persistent cows are less susceptible to health and reproductive disorders. The objective of this research was to investigate the phenotypic relationships of common health disorders in dairy cows to lactation persistency. The relationships with peak yield and days in milk (DIM) at peak yield were also studied. Two separate investigations (Study 1 and Study 2) were performed. Study 1 used treatment incidence data and daily milk weights of 991 lactations from experimental dairy herds at Virginia Tech and Pennsylvania State University. Milk yield persistency (PM) was estimated for individual lactations using daily milk weights. In Study 2, producer recorded health data of 87555 lactations from 398 commercial herds were used. PM, fat (PF), and protein (PP) persistencies were estimated from TD yields. Mastitis only in the first 100 days, only after 100 DIM, and at any stage of lactation, and reproductive disorders including metritis, retained placenta, cystic ovaries, metabolic diseases including ketosis, milk fever and displaced abomasums, and lameness were considered in both studies. Mastitis both before and after 100 DIM was considered only in Study 1. Each disease was defined as a binary trait distinguishing between lactations with at least one incidence (1) and lactations with no incidences (0). Standardized measures of the persistencies, uncorrelated with yield, were calculated as a function of yield deviations from standard curves and DIM deviations around reference dates. Peak milk yield and DIM at peak of individual lactations were computed using Wood's function. Effects of persistency (PM, PF, and PP) on probability of the diseases in current and next lactations were examined through odds ratios from a logistic regression model. Conversely, the effects of diseases on persistencies, peak milk yield, and DIM at peak milk yield were also examined. Increasing PM, PF, and PP tend to reduce the incidence of mastitis, specifically in late stages of current and next lactation. PM and PP appear to have greater impact on mastitis than PF. No other likelihood of a disease was affected by the increasing persistencies. Post partum reproductive and metabolic diseases often had substantially positive effect on persistencies of both primiparous and multiparous cows (p<0.001 in Study 1 and p<0.001 in Study 2). Mastitis in early lactation appeared to increase persistency more often in multiparous cows (p<0.05 in Study 1 and p<0.005 in Study 2). Mastitis in late lactation had considerable but negative impact on persistency in both primiparous and multiparous cows (p<0.05 in Study 1 and p<0.005 in Study 2). Cows, which developed mastitis in both early and late lactations tended to have lower PM (p<0.05 in Study 1). Irrespective to the time of occurrence, effect of mastitis on milk, fat and protein yield persistencies was negative. Most of the diseases significantly affected DIM at peak milk yield in multiparous cows (p<0.05 in Study 1). Reproductive and metabolic disorders tended to delay DIM at peak milk yield while Mastitis in late lactation was associated with early DIM at peak milk yield. Lameness had no phenotypic relationships with shape of the lactation curve. Overall, diseases tend to affect milk, fat, and protein persistencies more strongly than the impact of persistency on likelihood of disease.
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    Regulatory Roles of Essential Amino Acids, Energy, and Insulin in Mammary Cell Protein Synthesis
    Appuhamy, Jayasooriya Arachchige Don Ranga Niroshan (Virginia Tech, 2010-04-16)
    Dairy cows inefficiently convert dietary protein to milk protein causing economic and environmental costs. Amino acids (AA), insulin, and glucose significantly enhance muscle protein synthesis efficiencies. The objectives of this research project were 1) to investigate the regulatory effects of essential AA (EAA) and their interactions with insulin, glucose and acetate on mammary protein synthesis rates, 2) to investigate whether branched chain amino acids (BCAA): leucine , isoleucine , and valine , become limiting for milk protein synthesis when Met and Lys supply were not limiting, and 3) to develop a mathematical representation for the EAA and insulin effects on cellular signals for protein synthesis. MAC-T cells were treated with EAA, insulin, glucose, and acetate to observe their individual and interactive effects on phosphorylation of mTOR, rpS6, S6K1, 4EBP1, eEF2, eIF2α, Akt, and AMPK. These signaling effects on protein synthesis rates were examined with mammary tissue slices. A mathematical representation of the insulin and EAA effects was developed. The effects of supplementing BCAA on milk protein synthesis were investigated using nine Holstein cows, assigned to 7 d continuous jugular infusions of saline, Met and Lys, and Met and Lys plus BCAA. Multiple essential amino acids, Leu, Ile, Met, and Thr were able to substantially regulate protein synthesis rates in bovine mammary cells by increasing (P < 0.05) phosphorylation of mTOR, S6k1, 4EBP1, and decreasing (P < 0.10) eEF2 phosphorylation. Insulin considerably (P < 0.10) exerted similar signaling effects in MAC-T cells, independent of EAA. Supplementation of only acetate increased (P = 0.09) mammary cell energy status as indicated by reduced AMPK phosphorylation in MAC-T cells. Neither acetate nor glucose had substantial regulatory effects on mammary protein synthesis rates. Although Met and Lys supplementation increased (P < 0.01) milk protein yields and protein efficiencies, there were no apparent benefits of BCAA supplementation under the feeding circumstances of our study. The developed mathematical model adequately represented the regulatory effects of EAA and insulin. Such mathematical representations of regulatory effects of EAA and their interaction with other nutrients may improve our current AA requirement models to predict AA requirements of dairy cows with increased accuracy.