Virus free seed potato production through sprout cutting technique under net-house

In order to evaluate the performance of sprout cutting for seed potato production against virus infection, a study was conducted at Bangladesh Agricultural Development Corporation (BADC) Foundation Seed Potato Production Farm, Domar, Nilphamary, Bangladesh in 2005 - 2006. Sprout cut seedlings were grown under three production practices viz. Net-house practice, BADC practice and farmers’ practice. Sprout cutting technique was proved to be an effective method of seed potato production against potato virus Y (PVY) and potato leaf roll virus (PLRV). The incidence of PVY and PLRV was detected as nil in net-house practice. However, PVY and PLRV were prevalent in BADC practice and farmers’ practice although, BADC practice performed better over farmers’ practice. Yield of seed potato and non-seed tubers along with yield attributes were found to be higher in all the five varieties (Diamant, Baraka, Asterix, Raja and Provento) in net-house practice followed by BADC practice and farmers’ practice. Among the varieties Diamant, Asterix and Raja seemed to be better in performance as compared to the others. In most of the cases net-house practice differed significantly (p = 0.05) with the others.Keywords: Potato virus Y, potato leaf roll virus, seed potato, sprout cuttingAfrican Journal of Biotechnology Vol. 9(36), pp. 5852-5858, 6 September, 201

Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17

Background Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce high-resolution geospatial estimates of access to drinking water and sanitation facilities. Methods We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and aggregated results to policy-relevant administrative units. We estimated mutually exclusive and collectively exhaustive subcategories of facilities for drinking water (piped water on or off premises, other improved facilities, unimproved, and surface water) and sanitation facilities (septic or sewer sanitation, other improved, unimproved, and open defecation) with use of ordinal regression. We also estimated the number of diarrhoeal deaths in children younger than 5 years attributed to unsafe facilities and estimated deaths that were averted by increased access to safe facilities in 2017, and analysed geographical inequality in access within LMICs. Findings Across LMICs, access to both piped water and improved water overall increased between 2000 and 2017, with progress varying spatially. For piped water, the safest water facility type, access increased from 40.0% (95% uncertainty interval [UI] 39.4-40.7) to 50.3% (50.0-50.5), but was lowest in sub-Saharan Africa, where access to piped water was mostly concentrated in urban centres. Access to both sewer or septic sanitation and improved sanitation overall also increased across all LMICs during the study period. For sewer or septic sanitation, access was 46.3% (95% UI 46.1-46.5) in 2017, compared with 28.7% (28.5-29.0) in 2000. Although some units improved access to the safest drinking water or sanitation facilities since 2000, a large absolute number of people continued to not have access in several units with high access to such facilities (>80%) in 2017. More than 253 000 people did not have access to sewer or septic sanitation facilities in the city of Harare, Zimbabwe, despite 88.6% (95% UI 87.2-89.7) access overall. Many units were able to transition from the least safe facilities in 2000 to safe facilities by 2017; for units in which populations primarily practised open defecation in 2000, 686 (95% UI 664-711) of the 1830 (1797-1863) units transitioned to the use of improved sanitation. Geographical disparities in access to improved water across units decreased in 76.1% (95% UI 71.6-80.7) of countries from 2000 to 2017, and in 53.9% (50.6-59.6) of countries for access to improved sanitation, but remained evident subnationally in most countries in 2017. Interpretation Our estimates, combined with geospatial trends in diarrhoeal burden, identify where efforts to increase access to safe drinking water and sanitation facilities are most needed. By highlighting areas with successful approaches or in need of targeted interventions, our estimates can enable precision public health to effectively progress towards universal access to safe water and sanitation. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd.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 healthrelated 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. Findings The global median health-related SDG index in 2017 was 59·4 (IQR 35·4–67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6–14·0) to a high of 84·9 (83·1–86·7). 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. Findings: The global median health-related SDG index in 2017 was 59·4 (IQR 35·4–67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6–14·0) to a high of 84·9 (83·1–86·7). 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

Effect of PLRV infected seed tuber on disease incidence, plant growth and yield parameters of potato

An investigation was conducted to find out the effect of PLRV infected seed tubers on disease incidence, plant growth, and tuber yield of potato. The levels of PLRV infected seed tubers were 0, 10, 20, 33, and 100%. Presence of PLRV infected tubers at 20% and higher rate caused significant increase in disease incidence and reduction in plant height, stem number, tuber number, and tuber yield as compared to that in control. Incidence of PLRV in the experimental fields, reduction in plant height, stem number, tuber number, and tuber weight per hill was positively and linearly correlated with levels of their inoculum. Spraying of Nimbicidine against insect vector did not show significant influence on plant growth and tuber yield.Keywords: Inoculum levels; disease incidence; PLRV; insecticide; growth and yield performance; potato.DOI: 10.3329/bjar.v35i3.6441Bangladesh J. Agril. Res.35(3) : 359-366</jats:p

Detection of Plant Viruses in Some Ornamental Plants That Act as Alternate Hosts

A study was conducted at the Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Salna, Gazipur to detect virus infecting ornamental plants. Enzyme-linked Immunosorbant Assay (ELISA) and symptomalogy were used for detection. Five viruses namely TPVV (Tomato Purple Vein Virus), CMV-Y (Cucumber Mosaic Virus-Y), OYVCMV (Okra Yellow Vein clearing Mosaic Virus), MYMV (Mung bean Yellow Mosaic Virus), TYLCV (Tomato Yellow Leaf Curl Virus) were detected on Tagetes erecta (Marigold), Salvia splendens (Salvia), Dahlia hybrida (Dahlia), Helichrysum bracteatum (Straw flower), Impatiens balsamina (Garden balsam). CMV-Y caused mosaic of Dahlia and Leaf Curl of Marigold. MYMV caused Yellow Mosaic of Dahlia hybrid, while TYLCV caused mosaic of Helichrysum bracteatum. OYVCMV produced leaf chlorosis on Salvia splendens, and chlorotic spots on Impatiens balsamina. TPVV caused purple leaf on Tagetes erecta DOI: http://dx.doi.org/10.3329/agric.v10i2.13141 The Agriculturists 2012; 10(2) 46-54</jats:p

Biological Control of soft rot bacteria of onion in Bangladesh

An investigation was conducted to search antagonistic bacteria as biological control agents of soft rotting bacterial pathogen of onion (Allium cepa L.) in vitro and in storage. Antibacterial activity of previously isolated 91 bacterial isolates was tested in vitro against onion soft rot bacteria Burkholderia cepacia O-15. Two isolates namely, R-15 and E-37 were found antagonistic against onion soft rot bacteria. Isolate R-15 was identified as the genus Bacillus and the isolate E-37 to Lactobacillus sp. Isolate R-15 proved to be a strong antagonist against onion soft rot bacteria was selected for bio-control of onion in storage. That was also effectively reduces the soft rot disease of onion in storage condition. Percentage of disease reduction (PDR) due to treatment with antagonistic bacteria was 72.4% compared to untreated control. It is therefore suggested that this isolate could be exploited as biocontrol agent for onion soft rot in Bangladesh. Bangladesh J. Sci. Ind. Res.56(4), 231-240, 2021   </jats:p

Evaluation of Some Management Options against Brinjal (&lt;i&gt;Solanum melongena&lt;/i&gt; L.) Shoot and Fruit Borer (&lt;i&gt;Leucinodes orbonalis&lt;/i&gt; [Guenee])

A field study was conducted to find out the effectiveness of five management options: i) Bacillus thuringiensis (Bt), ii) Tracer 45 SC (Spinosad), iii) Proclaim 5 SG (Emamectin benzoate), iv) mechanical control, and v) untreated control for suppressing brinjal shoot and fruit borer (BSFB) during-2012 at Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU). The treatments were arranged in a randomized complete block design with four replications. Results indicated that Tracer 45 SC performed the best in reducing 85.60% shoot infestation over control, which was followed by Proclaim 5 SG (76.62%), Bacillus thuringiensis (66.41%) and mechanical control (22.02%). The best performance of fruit infestation reduction over control by number and by weight was also obtained in Tracer 45 SC treated plots and reduced  88.80 and 89.46%, respectively. This was   followed by Proclaim 5 SG (65.58 and 67.29%), Bacillus thuringiensis (52.63 and 54.28%) and mechanical control (31.88 and 19.04%). The highest yield of 11.20 t ha-1 and highest benefit cost ratio of 5.32 were recorded in Tracer 45 SC treated plots.The Agriculturists 2017; 15(1) 49-57</jats:p

Efficacy of fungicides and organic oils to control powdery mildew disease of jujube (Ziziphus mauritiana Lam.)

Powdery mildew (Oidium erysiphoides f.sp. ziziphi) is the major disease of Indian jujube (Ziziphus mauritiana) in Bangladesh. An experiment was conducted to test the efficacy of six fungicides, two organic oils, and a detergent against the disease. Tested fungicides were Tilt (Propiconazole) @ 0.05%, Folicur (Hexaconazole) @ 0.1%, Bavistin DF (Carbandazim) @ 0.2%, Dithane M-45 (Mancozeb) @ 0.3%, Thiovit 80 WG (Sulpher) @ 0.3%, and Cupravit (Copper) @ 0.3%, the oils were Mustard oil @ 0.5% and Neem oil 0.5%, and the Detergent (Trix) @ 0.5%. The materials were applied as foliar spray for seven times at an interval of 15 days. All of the fungicides and two oils gave significant decrease in severity of powdery mildew and increased fruit yield of Indian jujube irrespective of varieties, locations and over times. Among the treatments, Folicur, Tilt, Thiovit, and Dithane M-45 sprays were found effective than others. The severity index values on two jujube varieties were 3.89-4.50 at Mowna and 4.00-4.53 at Ishurdi in control treatment. The severity indices were reduced to 1.45-1.96 at Mowna and 1.33-2.07 at Ishurdi due to application of Tilt, Folicur, Thiovit, and Dithane M-45, which gave increase in fruit yield over control by 68.88, 63.69, 63.04, and 54.63% in Apple Kul and 83.25, 77.87, 77.39, and 70.36% in BAU Kul, respectively. Most of the treatments were able to reduce number of spotted fruits. The best effective fungicide was found to be Tilt followed by Folicur and Thiovit in reducing disease severity of powdery mildew as well as other fruit diseases like fruit spot and fruit rot and increase fruit yield of Indian jujube. Therefore, Tilt/Folicur may be recommended for jujube growers to control the powdery mildew disease in commercial orchard. DOI: http://dx.doi.org/10.3329/bjar.v38i4.19032 Bangladesh J. Agril. Res. 38(4): 659-672, December 2013</jats:p

A Major Recessive Gene Associated with Anthracnose (Colletotrichum capsici) Resistance in Chilli Pepper

Chilli anthracnose caused by Colletotrichum sp., is an important disease in Bangladesh and many other Asian countries. Recently the local Bangladeshi genotype ‘Comilla-2’ was found resistant to C. capsici. Inheritance of resistant to C. capsici was analyzed in segregating populations derived from a cross of ‘BARI chilli-1’ x ‘Comilla-2’. BARI chilli-1 as susceptible and Comilla-2 as resistant parent was used in the study. Detached matured green fruits were inoculated using the microinjection method. Disease response was evaluated using disease incidence and over all lesion diameter at 8 days after inoculation. The disease reaction of F1 plants in case of disease incidence and overall lesion diameter were clearly skewed to the susceptible parent, with average values of 46.70% and 13.2 mm, respectively. The distribution of disease incidence in the F2 population was skewed toward the susceptible parent and the distribution of overall lesion diameter in the F2 population showed a similar trend. Based on the scale of resistance and susceptibility, less than 25.0% disease incidence or less than 9.0 mm overall lesion diameter were evaluated as resistance. In the cross ‘BARI chilli-1’ x ‘Comilla-2’, the segregation ratios of resistance and susceptibility scored by disease incidence and overall lesion diameter in the F2 , BCr and BCs populations and chi-squared test significantly fitted one recessive gene model i.e. 1:3 Mendelian model. The result indicates that the resistance of ‘Comilla-2’ to C. capsici is controlled by a single recessive gene.</jats:p