Comparison of Enriched Silvipasture and \u3cem\u3eCenchrus ciliaris\u3c/em\u3e Pasture with Natural Pasture in Ravenous Soils for Goat Production under Rainfed Conditions

Goat is a future animal and plays a crucial role in providing livelihood and supplementary income to resource poor farmers and landless labourers of rural India. Goat rearing also ensures self-employment and act as a cushion in present climate change phenomena like drought and famine. Goats are found more in ecologically fragile arid and semiarid areas. Hence, it is imperative to address goat production under present scenario of climate change and food scarcity. The diverse challenges and constraints as growing population, increasing food, feed and fodder needs, natural resources degradation, climate change demands a reorientation of our strategies for goat production and development of feed and fodder resources in the country by utilizing waste lands/ poor lands, because in our country goats are mainly depend on natural feed resources available on waste and degraded lands. The poor production potential of these lands and poor values of qualitative parameters of available vegetation on such lands hamper expression of production potential of Indian goats, side by side economic progress of goat keepers. Therefore, an attempt was made to develop feed resources under three models i.e., Silvipasture, sown pasture and natural vegetation stand (natural pasture) in Yamuna ravines of Mathura district of Uttar Pradesh

Milk Production and Nutrient Efficiency of Lactation Goats on Diet Containing Linseed Cake, Mustard Cake and Guar Korma with Urea in Concentrates

Protein supplements, those conventionally used in goat feeding includes oil meals of ground nut, soybean meal, linseed and til etc., which are very costly and their availability is limited for ruminant feeding as these are most used in pig and poultry rations. However, mustard (Brassica juncea) oil meal is available in plenty at cheaper prices but their utilization in goat feeding is limited due to its bitterness (Pailan and Singhal, 2007), which arises upon degradation of glucosinolate contents of mustard (Tripathi and Mishra, 2007). Ruminant animals have unique capability of bioconversion of nonprotein nitrogen substances into microbial protein, which can also substitute organic protein supplement. Guar korma is another high protein feed resource available at cheaper prices, which can also be used in animal feeding in limited quantities. The use of mustard cake in replacement of linseed cake upto 75% in concentrates of lactating Jamunapari goats have been demonstrated earlier. However, information of guar korma use in goat feeding is in scanty. The level and quality of dietary protein and fat have influence on milk production and quality (Tripathi, 2014) Therefore, present experiment aimed to utilized mustard oil meal, urea and guar korma in replacement of conventional linseed oil cake as protein supplement in concentrate mixture of lactating goats feeding and assess the nutrient utilization efficiency for milk production

Effect of supplementation of amino acid chelate of Zn, Cu, Mn and Co heptagluconate on performance of Barbari goat kids

Male Barbari kids (56), 7 to 8 months of age and weighing19.2± 2.9 kg were randomly divided into 4 equal groups to assess the effect of source (inorganic or organic) and level of Zn, Cu, Co and Mn on intake and growth performance. The kids of control group were fed inorganic source of Zn, Cu, Co and Mn while other groups were fed organic complex (Zn, Cu and Mn amino acid and Co as cobalt heptagluconate at 50, 75 and 100 % of inorganic requirement. Feeding cum growth experiment lasted for 105 days. The live weight of kids at initiation of experiment varied from 19.12 to 19.67 kg, and final live weight ranged between 23.4 to 25.01 kg among the four groups. Total gain and average daily gain varied from 4.82 to 5.34 kg and 45.9 to 50.9 g respectively, which were not different among the four groups. The feed intake varied from 3.9 to 4.0 % of live weight. Live weight change remained lower in kids supplemented 75 and 100% organic trace minerals and had a pooled 6.9 and 9.8% lower average daily gain respectively. The feed efficiency and feed conversion ratio was similar among the four groups. Supplementation of 50% organic minerals provided daily gain equal to inorganic supplemented kids, while 75 and 100 % organic supplementation deteriorated daily gain. Therefore, at 50% organic supplementation levels, the bio-availability of Zn, Cu, Co and Mn have met the daily requirement of kids in relation to recommended requirements of inorganic minerals

Chemical composition, in-vitro fermentation and methane production potential of unconventional feed resources in goats

Unconventional feed resources namely Aloe barbadensis (ALB), Musa paradisiaca (MUP), Punica granatum (PUG), Murraya koenigii (MUK), Lawsonia inermis (LOI) and Boehravia diffusa (BOD) were assessed for in- vitro methane production potential and fermentation with whole goat rumen flora. Nutrient content of all the bio- resources were different, and the gas production varied from 57.7 to 161.7 ml/ g DM, with the highest gas in ALB and the lowest in BOD. Although, gas production was different among all feed resources, however gas production for each gram DM fermented was similar in MUP, PUG, MUK and LOI leaves. Methane production ranged from 6.7 to 18.9 g and 10.5 to 22.83 g/ kg DM and g/ kg fermented DM respectively. The energy loss in the form of methane also followed the trend of gas production, which ranged from 11.4 to 17.1% of digestible energy. Therefore, feed resources with varying nutrient contents have significant variations in fermentability and methane production potential

Local Causal States and Discrete Coherent Structures

Coherent structures form spontaneously in nonlinear spatiotemporal systems and are found at all spatial scales in natural phenomena from laboratory hydrodynamic flows and chemical reactions to ocean, atmosphere, and planetary climate dynamics. Phenomenologically, they appear as key components that organize the macroscopic behaviors in such systems. Despite a century of effort, they have eluded rigorous analysis and empirical prediction, with progress being made only recently. As a step in this, we present a formal theory of coherent structures in fully-discrete dynamical field theories. It builds on the notion of structure introduced by computational mechanics, generalizing it to a local spatiotemporal setting. The analysis' main tool employs the \localstates, which are used to uncover a system's hidden spatiotemporal symmetries and which identify coherent structures as spatially-localized deviations from those symmetries. The approach is behavior-driven in the sense that it does not rely on directly analyzing spatiotemporal equations of motion, rather it considers only the spatiotemporal fields a system generates. As such, it offers an unsupervised approach to discover and describe coherent structures. We illustrate the approach by analyzing coherent structures generated by elementary cellular automata, comparing the results with an earlier, dynamic-invariant-set approach that decomposes fields into domains, particles, and particle interactions.Comment: 27 pages, 10 figures; http://csc.ucdavis.edu/~cmg/compmech/pubs/dcs.ht

Packages of Care for Alcohol Use Disorders in Low- And Middle-Income Countries

In the fourth in a series of six articles on packages of care for mental disorders in low- and middle-income countries, Vivek Benegal and colleagues discuss the treatment of alcohol use disorders

Global injury morbidity and mortality from 1990 to 2017 : results from the Global Burden of Disease Study 2017

Correction:Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.Peer reviewe

Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

Background: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2\ub75th percentile and 100 as the 97\ub75th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings: The global median health-related SDG index in 2017 was 59\ub74 (IQR 35\ub74–67\ub73), ranging from a low of 11\ub76 (95% uncertainty interval 9\ub76–14\ub70) to a high of 84\ub79 (83\ub71–86\ub77). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation: The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains—curative interventions in the case of NCDs—towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions—or inaction—today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030

Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017.

BACKGROUND: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of 'leaving no one behind', it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment. METHODS: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator