Michael O'Donovan

Dr. Michael O'Donovan

Animal and Grassland Innovation Centre, Teagasc, Moorepark, Fermoy, Co Cork, P61 C997, Ireland

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 March 2021 in Foods
Verified
Journal Article
Open access
PDF file
MTMark Timlin
Mark Timlin
JTJohn Thomas Tobin
John Thomas Tobin
André BrodkorbAndré Brodkorb
André Brodkorb
Eoin MurphyEoin Murphy
Eoin Murphy
PDPat Dillon
Pat Dillon
TOTom O'Callaghan
Tom O'Callaghan
Seasonal calving, pasture-based dairy systems are widely practiced in countries with a temperate climate and plentiful rainfall such as Ireland and New Zealand. This approach maximizes milk production from pasture and, consequently, is a low-cost, low-input dairy production system. On the other hand, the majority of global milk supply is derived from high input indoor total mixed ration systems where seasonal calving is not practiced due to the dependence on ensiled silages, grains and concentrated feeds, which are available year-round. Synchronous changes in the macro and micronutrients in milk are much more noticeable as lactation progresses through early, mid and late stages in seasonal systems compared to non-seasonal systems—which can have implications on the processability and functionality of milk.

28 June 2021 in Agriculture
Verified
Journal Article
Open access
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MMMichael Murphy
Michael Murphy
MMMichael Murphy
Michael Murphy
BOBernadette O'Brien
Bernadette O'Brien
Michael O'DonovanMichael O'Donovan
Michael O'Donovan
The development of precision grass measurement technologies is of vital importance to securing the future sustainability of pasture-based livestock production systems. There is potential to increase grassland production in a sustainable manner by achieving a more precise measurement of pasture quantity and quality. This review presents an overview of the most recent seminal research pertaining to the development of precision grass measurement technologies. One of the main obstacles to precision grass measurement, sward heterogeneity, is discussed along with optimal sampling techniques to address this issue. The limitations of conventional grass measurement techniques are outlined and alternative new terrestrial, proximal, and remote sensing technologies are presented. The possibilities of automating grass measurement and reducing labour costs are hypothesised and the development of holistic online grassland management systems that may facilitate these goals are further outlined.

7 September 2016 in The Journal of Agricultural Science
Verified
Journal Article
Closed access
PDF file
Michael O'DonovanMichael O'Donovan
Michael O'Donovan
Nóirín McHughNóirín McHugh
Nóirín McHugh
MMM. Mcevoy
M. Mcevoy
DGD. Grogan
D. Grogan
LSL. Shalloo
L. Shalloo
SUMMARY: A total economic merit index (Pasture Profit Index, PPI) for perennial ryegrass variety selection was developed to rank perennial ryegrass varieties (Lolium perenneL.) based on their economic potential for grass-based ruminant production systems. The key traits of importance identified were: spring, mid-season (April 11–August 10) and autumn dry matter (DM) yield, first and second cut silage DM yield, grass quality April to July (inclusive) and sward persistency. Variety persistency was quantified by determining the ground score (GS) change across years, which was associated with a yield threshold which triggered sward replacement. Each one-unit decline in GS was associated with a 1683 kg loss in DM yield. Data generated in the Irish recommended list trials for value for cultivation and use were analysed to quantify the relative performance of each variety for each of the aforementioned traits. A previously developed methodology to generate economic values was used with updated price assumptions to develop economic values, which were applied to the analysed performance data of individual varieties. These data were used to estimate the total economic merit of each variety. Thirty-nine varieties were ranked on total economic merit with the highest performing variety (Cv111) generating €213 per ha/year compared withCv201, which was the lowest ranking variety generating −€31 per ha/year. Use of the PPI provides information to end users in relation to the economic merit of one variety over another, facilitating a more informed decision-making process at farm level.

1 December 2020 in Dairy
Verified
Journal Article
Open access
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EQErinn Quinn
Erinn Quinn
TOTom O'Callaghan
Tom O'Callaghan
JTJohn Thomas Tobin
John Thomas Tobin
JMJohn Paul Murphy
John Paul Murphy
KSKatie Sugrue
Katie Sugrue
RHRita Hickey
Rita Hickey
Numerous bioactive components exist in human milk including free oligosaccharides, which represent some of the most important, and provide numerous health benefits to the neonate. Considering the demonstrated value of these compounds, much interest lies in characterising structurally similar oligosaccharides in the dairy industry. In this study, the impacts of days post-parturition and parity of the cows on the oligosaccharide and lactose profiles of their milk were evaluated. Colostrum and milk samples were obtained from 18 cows 1–5 days after parturition. Three distinct phases were identified using multivariate analysis: colostrum (day 0), transitional milk (days 1–2) and mature milk (days 3–5). LS-tetrasaccharide c, lacto-N-neotetraose, disialyllacto-N-tetraose, 3’-sial-N-acetyllactosamine, 3’-sialyllactose, lacto-N-neohexaose and disialyllactose were found to be highly affiliated with colostrum. Notably, levels of lactose were at their lowest concentration in the colostrum and substantially increased 1-day post-parturition. The cow’s parity was also shown to have a significant effect on the oligosaccharide profile, with first lactation cows containing more disialyllacto-N-tetraose, 6’-sialyllactose and LS-tetrasaccharide compared to cows in their second or third parity. Overall, this study identifies key changes in oligosaccharide and lactose content that clearly distinguish colostrum from transitional and mature milk and may facilitate the collection of specific streams with divergent biological functions.

22 March 2015 in Grass and Forage Science
Verified
Journal Article
Closed access
PDF file
PCP. A. Cashman
P. A. Cashman
MMM. McEvoy
M. McEvoy
TGT. J. Gilliland
T. J. Gilliland
Michael O'DonovanMichael O'Donovan
Michael O'Donovan

21 November 2017 in The Journal of Agricultural Science
Verified
Journal Article
Closed access
PDF file
NBN. Byrne
N. Byrne
TGT. J. Gilliland
T. J. Gilliland
Nóirín McHughNóirín McHugh
Nóirín McHugh
LDL. Delaby
L. Delaby
AGA. Geoghegan
A. Geoghegan
Michael O'DonovanMichael O'Donovan
Michael O'Donovan
SUMMARY: Conventionally perennial ryegrass evaluations are conducted under simulated grazing studies to identify varieties with the best phenotypic performance. However, cut-plot environments differ greatly to those experienced on commercial farms as varieties are not exposed to the same stress levels in test environments. It could be argued that plot-based testing regimes provide little direction to plant breeders in the development of advanced varieties. Varietal phenotypic performance needs to be quantified in ‘commercial’ situations. The objective of the current study was to evaluate the phenotypic performance of a range of perennial ryegrass varieties under commercial farm conditions. Monocultures of 11 Irish Recommended List perennial ryegrass varieties were sown on 66 commercial farms throughout Ireland where performance was evaluated over a 3-year period from 2013 to 2015, inclusive. A linear mixed model was used to quantify variety effects on grassland phenotypic performance characteristics. No significant variety effect was estimated for total, seasonal or silage herbage production. Despite the lack of variety effects, pairwise comparisons found significant performance differences between individual varieties. Grazed herbage yield is of primary importance and was shown to be correlated strongly with total production (0.71); Grazed herbage yield differed significantly by variety, with a range of 1927 kg dry matter (DM)/ha between the highest and lowest performing varieties. Sward quality (dry matter digestibility [DMD]) and density were influenced by variety with a range of 44 g/kg DM for DMD and 0.7 ground score units between the highest and lowest performing varieties. Results of the current study show that on-farm evaluation is effective in identifying the most suitable varieties for intensive grazing regimes, and the phenotypic variance identified among varieties performance for many traits should allow for improved genetic gain in areas such as DM production, persistence and grazing efficiency.