Forage Options for Dairy Cows

To remain competitive internationally, the Australian dairy industry will need to increase milk production per unit of land by producing and utilising more from home-grown feed. In the context of decreasing land availability but increasing feed cost per unit of land, increasing production and utilisation of home-grown feed is crucial to increase milk production in pasture-based dairy farms (Fariña et al., 2011). Pure pasture-based systems can achieve a maximum of ~20 t dry matter (DM)/ha/yr, although in practice top commercial farmers hardly exceed 15-16 t DM/ha. A strategy to increase productivity of forages is to select adequate combinations of forages alone or combined (intercropped) in a forage rotation. It was hypothesised that ≥25 t DM/ha may be achieved from a double-crop wholly grazeable forage rotation. Similarly, ≥40 t DM/ha may be achieved from a forage rotation using adequate forage options and intercropping management when grown for both grazing and conservation. The aim of this study was to investigate high yielding grazeable or a combination of grazeable and conserved double-crop forage options for dairy cows

System Fitness of Grazeable Forages for Large Herds in Automatic Milking Systems

Automatic milking rotary (AMR) systems have the capacity to milk 800 cows. To maintain a pasture-based system whereby \u3e 50% of the total diet is pasture (Garcia and Fulkerson, 2005), large herds milked by AMR will be required to walk significant distances. Walking distances of greater than 1-km are associated with an increased incidence of undesirably long milking intervals and reduced milk yield (Lyons N, unpubl. data). The aim of this study was to investigate the total land area required and associated walking distance for large automatic milking system (AMS) herds when incorporating complementary forage rotations (CFR; Garcia et al., 2008) into the system

Underpinning Quality Assurance: Identifying Core Testing Strategies for Multiple Layers of Internet-of-Things-Based Applications

The Internet of Things (IoT) constitutes a digitally integrated network of intelligent devices equipped with sensors, software, and communication capabilities, facilitating data exchange among a multitude of digital systems via the Internet. Despite its pivotal role in the software development life-cycle (SDLC) for ensuring software quality in terms of both functional and non-functional aspects, testing within this intricate software–hardware ecosystem has been somewhat overlooked. To address this, various testing techniques are applied for real-time minimization of failure rates in IoT applications. However, the execution of a comprehensive test suite for specific IoT software remains a complex undertaking. This paper proposes a holistic framework aimed at aiding quality assurance engineers in delineating essential testing methods across different testing levels within the IoT. This delineation is crucial for effective quality assurance, ultimately reducing failure rates in real-time scenarios. Furthermore, the paper offers a mapping of these identified tests to each layer within the layered framework of the IoT. This comprehensive approach seeks to enhance the reliability and performance of IoT-based applications

Gaps and Variability in Pasture Utilisation in Australian Pasture-Based Dairy Systems

We used commercial farm data from 4 states of Australia and 9 subsets of data from 4 whole farm system studies conducted in Australia and New Zealand to: (1) explore the relationship between pasture utilisation and farm profitability; (2) identify gaps and causes of both between and within-farm variability in pasture utilisation; and (3) discuss possibilities to reduce these gaps through the application of technology-based solutions. Results confirm that the amount of pasture utilised per ha is a key driver of profitability of Australian pasture-based systems. In spite of this, the gap between potential (research) and commercial reality is huge. Data from whole farm system studies in which the same grazing management rules were applied show a relatively large variability in between-paddock, within-farm (i.e. system study in this case) pasture utilisation. The level of variability among datasets was similar, but was higher for systems associated with more variation in water availability compared to fully irrigated systems or studies conducted in high rainfall areas. Factors that can explain within farm variability include differential management of inputs and grazing, even when the ‘same’ management rules are applied. Given the demonstrated importance of pasture utilisation in profitability of the dairy farms, the key challenge for Australian dairy farmers is to seriously reduce variability in pasture utilisation and pasture wastage. The advancements of automation in agriculture provide new frontiers to assist farmers in reducing variability and gaps in pasture utilisation

Grazing Behaviour of Dairy Cows When Grazing Forage Rape in a Pasture-Based Automatic Milking System

Forage rape (Brassica napus L.) is a high producing, high nutritive value forage that has been successfully introduced as a grazable forage in conventional, intensified pasture-based dairy systems to fill autumn-winter feed gaps (Garcia et al. 2008). However, incorporation of forage rape as a grazing forage option for automatic milking systems (AMS), in which cows enter and exit grazing areas voluntarily, has not been investigated yet. We conducted an observational study to investigate the suitability of using forage rape in AMS and gain understanding of cow’s foraging behaviour when grazing this forage. The outcomes of this piece of work will help to determine management guidelines regarding incorporation of the crop into voluntary cow traffic systems

Myxovirus resistance 1 (MX1) is an independent predictor of poor outcome in invasive breast cancer

Background: Breast cancer (BC) is a disease with variable morphology, clinical behaviour and response to therapy. Identifying factors associated with the progression of early stage BC can help understand the risk of metastasis and guide treatment decisions. Myxovirus resistance 1 (MX1), which is involved in the cellular antiviral mechanism, plays a role in some solid tumours; however, its role in invasive BC remains unknown. In this study, we aimed to explore the clinicopathological and prognostic significance of MX1 in BC.Methods: MX1 was assessed at the protein level using tissue microarrays from a large well-annotated BC cohort (n=845). The expression of MX1 mRNA was assessed at the transcriptomic level using the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC; n=1980) and validated using three publicly available cohorts on Breast Cancer Gene-Expression Miner (bc-GenExMiner version 4.4). The associations between MX1 expression and clinicopathological factors, and outcome were evaluated.Results: High MX1 protein expression was associated with features of aggressiveness, including large tumour size, high tumour grade, high Nottingham prognostic index scores, hormone receptor negativity and high Ki67 expression. High MX1 expression showed an association with poor patient outcome and it was an independent predictor of short BC- specific survival (p=0.028; HR=1.5; 95%CI=1.0–2.2). Consistent with the protein results, high MX1 mRNA levels showed an association with features of aggressive behaviour and with shorter survival.Conclusion: This study identified MX1 as an independent predictor of poor outcome in patients with BC. Further functional studies are needed to investigate the biological role of MX1 in BC and its potential value as a therapeutic target

Increasing Feed Conversion Efficiency in Automatic Milking Systems: The Impact of Grain-Based Concentrate Allocation and Kikuyu (\u3cem\u3ePennisetum clandestinum\u3c/em\u3e) Pasture State on Kikuyu Pasture Digestibility

Automatic milking system (AMS) farms, rely upon voluntary cow traffic (the voluntary movement of cattle around a farm) for milk harvesting and feed consumption. Dairy cows on a pasture-based AMS farm typically move from depleted to fresh allocations of pasture in small groups, or individually, at differing times. The first cows moving to an allocation of fresh pasture get access to rapidly fermentable, ad libitum, high quality pasture in contrast to those cows accessing the same allocation towards the end of the access period. At the same time, grain-based concentrate (GBC) is allocated independent of the pasture state that cows access. Inclusion of a high level of GBC in the diet with high or low nutritive value forage, or variable states of forage, may create dramatic variations in rumen fluid pH, which may induce subacute ruminal acidosis (Bramley 2004), reduce feed conversion efficiency and negatively impact animal health. The aim of the current study was to determine the impact of pasture state and GBC allocation on the digestibility of kikuyu pasture

Increasing Feed Conversion Efficiency in Automatic Milking Systems: The Impact of Grain-Based Concentrate Allocation and Kikuyu (\u3cem\u3ePennisetum clandestinum\u3c/em\u3e) Pasture State on Milk Production

Pasture is typically offered to dairy cows in three allocations in pasture-based automatic milking systems (AMS). However, due to voluntary cow movement and distribution of milkings, some dairy cows access fresh pasture and other cows access depleted (stale) pasture. The first cows moving to an allocation of fresh pasture are offered ad-libitum, high quality pasture as opposed to cows arriving to the same allocation during the middle or end of the day accessing poorer quality, high fibre (neutral detergent fibre, NDF) pasture. In addition, grain-based concentrate (GBC) is allocated independently to this pasture state. The ability to increase feed conversion efficiency and AMS herd milk production by targetedGBC supplementation to cows accessing differing pasture states is unknown. Therefore, the aim of the current experiment was to determine the impact of pasture state and GBC allocation on dairy cow milk production

Chemical and biological investigations of Delonix regia (Bojer ex Hook.) Raf.

U radu je opisana izolacija pet sastojaka petroleterske i diklormetanske frakcije metanolnog ekstrakta kore biljke Delonix regia: lupeol (1), epilupeol (2), β-sitosterol (3), stigmasterol (4) i p-metoksibenzaldehid (5). Nadalje, testirano je antimikrobno djelovanje različitih ekstrakata difuzijskom metodom na disku (15 μg mm2). Zone inhibicije za sastojke topljive u petroleteru, tetraklormetanu i diklormetanu bile su 914 mm, 1113 mm, odnosno 920 mm, dok je zona inhibicije standarda kanamicina bila 2025 mm. U biološkom pokusu smrtnosti morskih kozica najveću toksičnost pokazali su spojevi topljivi u tetraklormetanu (LC50 = 0,83 μg mL1), dok je topljivost sastojaka topljivih u petroleteru i diklormetanu bila LC50 14,94, odnosno 3,29 μg mL1, a standarda vinkristin sulfata 0,812 μg mL1. Ovo je prvo izvješće o izolaciji sastojaka, antimikrobnom djelovanju i citotoksičnosti biljke D. regia.In this study five compounds, lupeol (1), epilupeol (2), β-sitosterol (3), stigmasterol (4) and p-methoxybenzaldehyde (5) were isolated from the petroleum ether and dichloromethane fractions of a methanolic extract of the stem bark of Delonix regia. Antimicrobial screening of the different extracts (15 μg mm2) was conducted by disc diffusion method. The zones of inhibition demonstrated by the petroleum ether, carbon tetrachloride and dichloromethane fractions ranged from 914 mm, 1113 mm and 920 mm, respectively, compared to kanamycin standard with the zone of inhibition of 2025 mm. In brine shrimp lethality bioassay, the carbon tetrachloride soluble materials demonstrated the highest toxicity with LC50 of 0.83 μg mL1, while petroleum ether and dichloromethane soluble partitionates of the methanolic extract revealed LC50 of 14.94 and 3.29 μg mL1, respectively, in comparison with standard vincristine sulphate with LC50 of 0.812 μg mL1. This is the first report on compounds separation from D. regia, their antimicrobial activity and cytotoxicity