Water-related impacts on agriculture due to climate change: a review with reference to Kerala.

Climate change has arisen as the most pressing global challenge of the 21st century. The impending challenges may be associated with water resources management. Water-related impacts due to climate change are ranging from water scarcity to intense floods. The state of Kerala has witnessed severe floods in the last two years owing to Extreme Rainfall Events (ERE), among which the prominent ones are the events that occurred in August 2018. The extent of human and livestock mortalities, crop damages and economic losses due to the floods was enormous. This paper critically reviews the scientific studies and reports on impacts of climate change which profiting generalists bothered with environmental challenges. The article highlights the need for water conservation, risk management, and the development of mitigation measures to cope with the water-related impacts of climate change on agriculture. Keywords—climate change, flood, drought

Adoption of advanced manufacturing technology and firm performance in the Netherlands

This paper presents characteristics of firms which employ advanced manufacturing tech-nology (AMT), explores the pattern of adoption of such technology, and traces the effects ofadoption on the evolution of employment and productivity. The study uses linked firm-leveldata on production, factor inputs and on advanced manufacturing technology. It is foundthat the percentage of firms which employ advanced technology increases with higher laborproductivity, higher export-sales ratios, and especially larger firm size. Corrected for interac-tions, however, only initial size and the capital-labor ratio in 1985 aid in predicting adoptionof AMT. Conditional on adoption of AMT it is seen that intensity of advanced technologyinputs decrease with firm size and with labor productivity. Finally, firms which employedAMT in 1992 show higher average growth rates of employment and of the capital-labor ratiobetween 1985 and 1991

G82-596 Use and Management of Micronutrient Fertilizers in Nebraska

This NebGuide focuses on the use of the micronutrients zinc and iron. Of the 16 elements known to be essential for plant growth, 7 are used in very small amounts and are classified as micronutrients. These are zinc (Zn), iron (Fe), manganese (Mn), copper (Cu), boron (B), molybdenum (Mo) and chlorine (Cl). Micronutrients are supplied to plants from two sources: 1) soil minerals and 2) organic matter. They are released as the soil minerals break down over a period of time by weathering. The major portion of the micronutrients made available to plants, however, probably comes from the breakdown (mineralization) of the organic matter. Research studies have demonstrated that Nebraska soils can supply all of the micronutrients needed for plant growth except zinc and iron on some, but not all soils, and boron for alfalfa and sugar beets in a few isolated situations

Changes in renal tri-iodothyronine and thyroxine handling during fasting

OBJECTIVE: Liver handling of thyroid hormones (TH) has been known to alter significantly during fasting. This study investigates whether renal handling of TH is also changed during fasting. METHODS: We measured urinary excretion rates and clearances of free tri-iodothyronine (T(3)) and free thyroxine (T(4)) in healthy subjects prior to and on the third day of fasting. RESULTS: During fasting, both mean T(3) and T(4) urinary excretion decreased significantly to a mean value of 42% of control. Also, total and free (F) serum T(3) concentrations declined significantly, but serum T(4) did not change. Both FT(3) and FT(4) clearance decreased significantly during fasting (62% and 42% of control). The fasting-induced decrease in uric acid clearance correlated well with the decrease in FT(3) clearance (r=0.94; P<0.001). Serum concentrations of non-esterified fatty acids (NEFA) were significantly elevated during fasting. CONCLUSIONS: The findings cannot be fully explained by the fasting-induced decrease in serum T(3), a

Applying phylogenomics to understand the emergence of Shiga Toxin producing Escherichia coli O157:H7 strains causing severe human disease in the United Kingdom

Shiga Toxin producing Escherichia coli (STEC) O157:H7 is a recently emerged zoonotic pathogen with considerable morbidity. Since the serotype emerged in the 1980s, research has focussed on unravelling the evolutionary events from the E. coli O55:H7 ancestor to the contemporaneous globally dispersed strains. In this study the genomes of over 1000 isolates from human clinical cases and cattle, spanning the history of STEC O157:H7 in the United Kingdom were sequenced. Phylogenetic analysis reveals the ancestry, key acquisition events and global context of the strains. Dated phylogenies estimate the time to the most recent common ancestor of the current circulating global clone to 175 years ago, followed by rapid diversification. We show the acquisition of specific virulence determinates occurred relatively recently and coincides with its recent detection in the human population. Using clinical outcome data from 493 cases of STEC O157:H7 we assess the relative risk of severe disease including HUS from each of the defined clades in the population and show the dramatic effect Shiga toxin complement has on virulence. We describe two strain replacement events that have occurred in the cattle population in the UK over the last 30 years; one resulting in a highly virulent strain that has accounted for the majority of clinical cases in the UK over the last decade. This work highlights the need to understand the selection pressures maintaining Shiga-toxin encoding bacteriophages in the ruminant reservoir and the study affirms the requirement for close surveillance of this pathogen in both ruminant and human populations

The Diabetes Remission Clinical Trial (DiRECT): protocol for a cluster randomised trial

Background: Despite improving evidence-based practice following clinical guidelines to optimise drug therapy, Type 2 diabetes (T2DM) still exerts a devastating toll from vascular complications and premature death. Biochemical remission of T2DM has been demonstrated with weight loss around 15kg following bariatric surgery and in several small studies of non-surgical energy-restriction treatments. The non-surgical Counterweight-Plus programme, running in Primary Care where obesity and T2DM are routinely managed, produces &gt;15 kg weight loss in 33 % of all enrolled patients. The Diabetes UK-funded Counterpoint study suggested that this should be sufficient to reverse T2DM by removing ectopic fat in liver and pancreas, restoring first-phase insulin secretion. The Diabetes Remission Clinical Trial (DiRECT) was designed to determine whether a structured, intensive, weight management programme, delivered in a routine Primary Care setting, is a viable treatment for achieving durable normoglycaemia. Other aims are to understand the mechanistic basis of remission and to identify psychological predictors of response. Methods/Design: Cluster-randomised design with GP practice as the unit of randomisation: 280 participants from around 30 practices in Scotland and England will be allocated either to continue usual guideline-based care or to add the Counterweight-Plus weight management programme, which includes primary care nurse or dietitian delivery of 12-20weeks low calorie diet replacement, food reintroduction, and long-term weight loss maintenance. Main inclusion criteria: men and women aged 20-65years, all ethnicities, T2DM 0-6years duration, BMI 27-45 kg/m2. Tyneside participants will undergo Magnetic Resonance (MR) studies of pancreatic and hepatic fat, and metabolic studies to determine mechanisms underlying T2DM remission. Co-primary endpoints: weight reduction ≥ 15 kg and HbA1c &lt;48 mmol/mol at one year. Further follow-up at 2 years. Discussion: This study will establish whether a structured weight management programme, delivered in Primary Care by practice nurses or dietitians, is a viable treatment to achieve T2DM remission. Results, available from 2018 onwards, will inform future service strategy

The role of appetite-related hormones, adaptive thermogenesis, perceived hunger and stress in long-term weight-loss maintenance: a mixed-methods study

Background/objectives: Weight-loss maintenance is challenging, and few succeed in the long term. This study aimed to explain how appetite-related hormones, adaptive thermogenesis, perceived hunger and stress influence weight-loss maintenance. Subjects/methods: Fifteen adult women (age, 46.3 ± 9.5 years; BMI, 39.4 ± 4.3 kg/m2) participated in a 24-month intervention, which included 3–5 months total diet replacement (825–853 kcal/d). Body weight and composition (Magnetic Resonance Imaging), resting metabolic rate (indirect calorimetry), and fasting plasma concentration of leptin, ghrelin, glucagon-like peptide-1 (GLP-1), peptide YY (PYY), and growth differentiation factor 15 (GDF-15) were measured at baseline and after weight loss, around 6 months. Perceptions relating to weight-loss maintenance were explored using qualitative interviews. Results: Mean (SD) changes in body weight (−13.8 ± 6.3 kg) and total adipose tissue (−11.5 ± 4.9 kg) were significant (P &lt; 0.001). Weight loss was associated with a significant reduction in resting metabolic rate (−291 ± 226 kcal/day, P &lt; 0.001) and adaptive thermogenesis (−150 ± 162 kcal/day, P = 0.003), reduction in leptin (P &lt; 0.001) and GLP-1 (P = 0.015), an increase in ghrelin (P &lt; 0.001), and no changes in PYY and GDF-15. Weight regain between 6 and 24 months (6.1 ± 6.3 kg, P &lt; 0.05) was correlated positively with change in GLP-1 (r = 0.5, P = 0.037) and negatively with GLP-1 at baseline (r = −0.7, P = 0.003) and after weight loss (r = −0.7, P = 0.005). Participants did not report increased hunger after weight loss, and stress-related/emotional eating was perceived as the main reason for regain. Conclusions: Weight regain is more likely with lower fasting GLP-1 and greater reduction in GLP-1 after weight loss, but psychological aspects of eating behaviour appear as important in attenuating weight-loss maintenance

Validity of predictive equations to estimate RMR in females with varying BMI

Estimation of RMR using prediction equations is the basis for calculating energy requirements. In the present study, RMR was predicted by Harris–Benedict, Schofield, Henry, Mifflin–St Jeor and Owen equations and measured by indirect calorimetry in 125 healthy adult women of varying BMI (17–44 kg/m2). Agreement between methods was assessed by Bland–Altman analyses and each equation was assessed for accuracy by calculating the percentage of individuals predicted within ± 10 % of measured RMR. Slopes and intercepts of bias as a function of average RMR (mean of predicted and measured RMR) were calculated by regression analyses. Predictors of equation bias were investigated using univariate and multivariate linear regression. At group level, bias (the difference between predicted and measured RMR) was not different from zero only for Mifflin–St Jeor (0 (sd 153) kcal/d (0 (sd 640) kJ/d)) and Henry (8 (sd 163) kcal/d (33 (sd 682) kJ/d)) equations. Mifflin–St Jeor and Henry equations were most accurate at the individual level and predicted RMR within 10 % of measured RMR in 71 and 66 % of participants, respectively. For all equations, limits of agreement were wide, slopes of bias were negative, and intercepts of bias were positive and significantly (P &lt; 0⋅05) different from zero. Increasing age, height and BMI were associated with underestimation of RMR, but collectively these variables explained only 15 % of the variance in estimation bias. Overall accuracy of equations for prediction of RMR is low at the individual level, particularly in women with low and high RMR. The Mifflin–St Jeor equation was the most accurate for this dataset, but prediction errors were still observed in about one-third of participants