Somatic Cells and High Bacteria Counts: How to Deal With Them

Under the current component pricing system dairy producers are paid by the amount of components (protein, butterfat, other solids) that end up in their milk tanks every day. On top of these, premiums increase their gross revenue, which include over-order premiums, quality premiums, and volume premiums. Quality premiums are paid to encourage producers to supply high quality milk and vary depending on the individual processor. Although quality premiums might sometimes seem small, we usually fail to understand that high somatic cell counts (SCC) are closely associated with milk production loss and thus milk volume premiums. Concentration of components, total milk shipped, and milk quality as represented by SCC and bacteria counts are among the things producers can control

Understanding Relative Feed Value (RFV) and Relative Forage Quality (RFQ)

Feed quality of alfalfa harvested as haylage or hay depends, to a great extent, on the maturity of the stand. With increasing maturity, plant structural carbohydrates, as measured by the ADF and NDF fractions, increase. These fiber fractions represent the more indigestible parts of the plant. As a result, digestibility and energy obtained through fermentation decrease with maturity. Relative feed value (RFV) has been used for years to compare the quality of legume and legume/grass hays and silages. Having one index to price hay and predict animal performance has been very useful for livestock producers and hay farmers

RFV vs. RFQ -- Which is Better?

Determining the value of hay is often times a trying adventure but the rewards can be significant. It begs the question though, what do those numbers really tell me? Do they provide me pertinent information? There are so many numbers…which ones do I need to be concerned with? All of the numbers and information on the results sheets are important. However, certain numbers have greater bearing on some classes of livestock than others. As research continues to give us new parameters regarding, herd health, pounds of gain, pounds of milk, maintenance, etc. the importance of these will also likely change as well

Evaluation of the In desorption during the capped process in diluted nitride In(Ga)As quantum dots

Diluted nitride self-assembled In(Ga)AsN quantum dots (QDs) grown on GaAs substrates are potential candidates to emit in the windows of maximum transmittance for optical fibres (1.3-1.55 μm). In this paper, we analyse the effect of nitrogen addition on the indium desorption occurring during the capping process of InxGa1−xAs QDs (x = l and 0.7). The samples have been grown by molecular beam epitaxy and studied through transmission electron microscopy (TEM) and photoluminescence techniques. The composition distribution inside the dots was determined by statistical moiré analysis and measured by energy dispersive X-ray spectroscopy. First, the addition of nitrogen in In(Ga)As QDs gave rise to a strong redshift in the emission peak, together with a large loss of intensity and monochromaticity. Moreover, these samples showed changes in the QDs morphology as well as an increase in the density of defects. The statistical compositional analysis displayed a normal distribution in InAs QDs with an average In content of 0.7. Nevertheless, the addition of Ga and/or N leads to a bimodal distribution of the Indium content with two separated QD populations. We suggest that the nitrogen incorporation enhances the indium fixation inside the QDs where the indium/gallium ratio plays an important role in this process. The strong redshift observed in the PL should be explained not only by the N incorporation but also by the higher In content inside the QD

Distribution of gamma-ray elements in Cerro do Jarau impact structure and a proposal of geothermal modeling

Large meteorite impacts release kinetic energy that induces rock deformation, high temperatures and fluid circulation during the cratering process. To understand the correlation between rock deformation and fluid circulation, it is relevant to investigate post-impact hydrothermal flux and its relation to the local geology. The Cerro do Jarau impact structure is a ~13.5 km diameter impact structure located in southern Brazil and formed on Cretaceous continental flood basalts of the Serra Geral Formation and underlying sedimentary strata. This study collected ground gamma-ray data over the structure and produced K, eTh and eU concentrations, eTh/K ratio and F-factor maps to characterize it in terms of its radiometric signatures and their respective spatial distribution. A general decrease in the concentration of the three elements was observed from the outer-rim towards the center of the crater. The central area is defined by very low radiometric values, with relatively high K values, thus indicating the occurrence of K-bearing rocks. Numerical simulations using the HYDROTHERM 3 code showed the fluid circulation pattern over the impact structure. Data interpretation resulted in a scenery consistent with potential fluid remobilization within the impact structure related to hydrothermal processes in the late stages of the crater formation process

Agrobacterium cavarae sp. nov., isolated from maize (Zea mays L.) roots

A bacterial strain designated as RZME10T was isolated from a Zea mays L. root collected in Spain. Results of analysis of the 16S rRNA gene sequence showed that this strain belongs to the genus Agrobacterium with Agrobacterium larrymoorei ATCC 51759T being the most closely related species with 99.9 % sequence similarity. The similarity values of the rpoB, recA, gyrB, atpD and glnII genes between strain RZME10T and A. larrymoorei ATCC 51759T were 93.5, 90.0, 88.7, 87.9 and 90.1 %, respectively. The estimated average nucleotide identity using blast and digital DNA–DNA hybridization values between these two strains were 80.4 and 30.2 %, respectively. The major fatty acids of strain RZME10T are those from summed feature 8 (C18 : 1 ω6c/C18 : 1 ω7c) and C16 : 0. Pathogenicity tests on tomato and carrot roots showed that strain RZME10T was not able to induce plant tumours. Based on the results of genomic, chemotaxonomic and phenotypic analyses, we propose that strain RZME10T represents a novel species named Agrobacterium cavarae sp. nov. (type strain RZME10T=CECT 9795T=LMG 31257T)

A unified vegetation index for quantifying the terrestrial biosphere

Empirical vegetation indices derived from spectral reflectance data are widely used in remote sensing of the biosphere, as they represent robust proxies for canopy structure, leaf pigment content, and, subsequently, plant photosynthetic potential. Here, we generalize the broad family of commonly used vegetation indices by exploiting all higher-order relations between the spectral channels involved. This results in a higher sensitivity to vegetation biophysical and physiological parameters. The presented nonlinear generalization of the celebrated normalized difference vegetation index (NDVI) consistently improves accuracy in monitoring key parameters, such as leaf area index, gross primary productivity, and sun-induced chlorophyll fluorescence. Results suggest that the statistical approach maximally exploits the spectral information and addresses long-standing problems in satellite Earth Observation of the terrestrial biosphere. The nonlinear NDVI will allow more accurate measures of terrestrial carbon source/sink dynamics and potentials for stabilizing atmospheric CO2 and mitigating global climate change

Informal entrepreneurship in developing economies: the impacts of starting-up unregistered on firm performance

To advance understanding of the entrepreneurship process in developing economies, this paper evaluates whether registered enterprises that initially avoid the cost of registration, and focus their resources on overcoming other liabilities of newness, lay a stronger foundation for subsequent growth. Analyzing World Bank Enterprise Survey data across 127 countries, and controlling for other firm performance determinants, registered enterprises that started-up unregistered and spent longer operating unregistered are revealed to have significantly higher subsequent annual sales, employment and productivity growth rates compared with those that registered from the outset. The theoretical and policy implications are then discussed