Processing tomato is an important agricultural crop worldwide suffering from genetic erosion due to a severe genetic diversity reduction and domestication hindrance. In Tunisia, some old underutilized tomato cultivars are increasingly being considered as genetic resources and are marginally used by small farmers constituting a real safety valve for the sustainability of the processing tomato value chain. Those tomato cultivars differ in their biometric, processing and functional quality attributes. Therefore, there is an increasing interest to examine their performances for processing and fresh market quality improvement. Recently, there was also a particular focus on improving the quality of fresh fruit via the introgression of high-pigment genes in processing tomato in order to obtain a high quality processed products. The results are important as large differences are highlighted and the main traits affecting tomato quality are also reported and clearly discussed. This suggest that maintaining of the existing genetic pools among cultivated tomato is as important as creating novel hybrids.

This study was carried out with the aim of assessing the effectiveness of four biochar materials; in reducing nitrate leaching from soils of three different textural classes in the Nigerian Savanna region. Soil samples (0-20 cm depth) were collected from three different soil types and three different locations each in the Nigerian Savanna using stratified random sampling. Two hundred and fifty (250) g of soil samples were amended with 0, 2.5, 5, 7.5 and 10 tonha-1 of Maize cob biochar (MCB), rice husk biochar (RHB), cow dung biochar (CDB) and poultry litter biochar (PLB) and were subjected to laboratory leaching experiment. Sixty (60) ml of nutrient solutions containing 300 mgl-1 nitrate using ammonium nitrate (NH4NO3) was applied to each of the laboratory biochar-incubated soil columns to study biochar effect on nutrients retention and transport. The experiment was laid in a Randomize Complete Block Design (RCBD) replicated three times. Leachates were collected and nitrate concentration was determined using a dual beam UV/VIS spectrophotometer. The data collected were analysed using the Generalized Linear Model (GLM) procedure and the means were separated using Tukey’s honest significant difference (SAS version 9.4). Results obtained revealed that there were no significant differences among the biochar treatments on nitrate leaching from Clay loam. However, highest nitrate leaching from Loamy soil of 30.53% was recorded by the application of 2.5 tonha-1 PLB and was significantly different from the application of 2.5 and 5-ton ha-1 RHB and 5-ton ha-1 MCB. Similarly, highest nitrate leaching from Sandy loam of 32.18 % was recorded by the application of 5-ton ha-1 MCB and was significantly higher than 5.94, 2.40 and 7.12 % recorded by the application of 2.5 and 5-ton ha-1 RHB and 7.5 tonha-1 CDB respectively. Therefore, application of 2.5, 5-ton ha-1 RHB and 7.5 tonha-1 CDB can effectively reduce nitrate leaching from Sandy loam. While 2.5, 5, 7.5 tonha-1 CDB and 2. 5 and 5 tonha-1 RHB reduced nitrate leaching from Loamy soils.

This proposal was initiated to assess the response of potato varieties (Dagim, Belete, Gudenie, Jalenie, Zengena, and Ater Ababa) to phosphorus application and use efficiency under screen house with plastic pots. There were seven phosphorous levels (150% recommended (3.9 g P pot-), 125% recommended (3.3 g P pot-), recommended (2.6 g P pot-), 75% of the recommended (2.0 g P pot-), 50% of the recommended (1.3 g P pot-), 25% of the recommended (0.7 g P pot-) and the control) per variety. The experiment was conducted in completely randomized design (CRD) with three replications with a total of 42 treatments at Adet Agricultural research center, Ethiopia. Most parameters studied significantly changed with varieties and P-rates. Belete variety and 2 g P pot-1 showed the highest values in soil available phosphorous (52.6 mg P kg-1 and 49.53 mg P kg-1, respectively,) and Belete variety and 3.9 g P pot1showed highest values in plant phosphorous concentration (3.48 mg g-1 and 3.98 mg g-1, respectively). The highest phosphorous uptake (PAE) (14.81 mg plant-1) was recorded in Belete variety. This variety could be considered as responsive cultivar. The highest phosphorous acquisition efficiency (PAE) (92.35 kg kg-1) was recorded in Belete variety, and phosphorous use efficiency (33.63 and 37.58 mg g-1) was recorded in Dagim and Ater Ababa varieties, respectively. Dagim variety can be used when external phosphorous applications become limited. Evaluation of the existing varieties of potato for their phosphorous use and uptake efficiency could potentially increase the future potato yield without excess P application

This study was carried out in the beekeeping research area of Bayburt University in order to determine the effect of odor and color on plant preference of honeybees in 2021. The experimental setup was established at a distance of 200 meters from the apiary where 80 Caucasian bees (Apis mellifera caucasica) colonies are located. As a result of the study, the most preferred feeders were the control group (pure sucrose syrup) (9.81 pieces), and the least preferred feeders were the rose-scent group (2.58). The effect of odor on honeybees' feed preferences varied according to months. Considering the effect of months on honeybees' visits to their feeders, the most visited feeders were Melissa (6.8) in June, control (11.69) in July, and control (14.58) in August. The highest number of feeder visits by honeybees was in August (9.24), and the lowest (2.89) in June. Considering the color preferences of honeybees, the most visited forage color was blue (5.98) and the least red was 4.89. The effect of colors on the feed preferences of honeybees also varied according to the months. The highest visitor bee average was found in the blue colored feeder (4.53) in June, the green colored feeder (7.24) in July, and the yellow and blue colored feeders (7.29) in August.

Microbial contamination in food and medicine is a situation that closely concerns human health. The fact that the microorganism causing the contamination have antibiotic resistance makes it difficult to eliminate the contamination. Deficiencies such as incorrect use of antibiotics or lack of new antibiotics have caused microorganisms to acquire multiple antibiotic resistance. Methicillin-resistant S. aureus (MRSA) is one of the microorganisms with high antibiotic resistance. The antibiotic resistance mechanisms and biofilm production ability of MRSA has made it more resistant to the environment. In this study, disc diffusion method was used to determine the antimicrobial activities of Heracleum platytaenium and Lavandula spp. essential oils against MRSA, and the results were compared with commercial antibiotics. In addition, the effect of H. platytaenium and Lavandula spp. essential oils on the biofilm produced by MRSA was also investigated. In this study, it was determined that H. platytaenium and Lavandula spp. essential oils have antimicrobial activity against MRSA. It was found that H. platytaenium and Lavandula spp. essential oils have antibiofilm activity against MRSA. H. platytaenium and Lavandula spp essential oils can be alternative natural sources compared to commercial antibiotics in controlling infections from MRSA.

Field experiments were conducted in 2018 and 2019 at the National Potato Research Programme (NPRP), Lalitpur (1360 masl), Nepal, to determine the effect of crop geometry on the growth, yield, and quality of sweet potato genotypes. The experiment was laid out on sandy loam soil in a factorial randomized complete block design (RCBD) with three replications and comprised of a total of twelve treatment combinations of four crop geometry (60cm×25 cm, 60cm×30 cm, 70cm×25 cm, and 70cm×30 cm) and three genotypes (CIP 440015, CIP 440267 and Local White). Among the different crop geometries and genotypes evaluated, 70cm×30 cm plant spacing and Local White genotype were found statistically superior to enhance marketable tuberous root weight per plant (0.572 and 0.541 kg), tuberous root diameter (62.59 and 61.0 mm), shoot fresh weight (509 and 524 g), and tuberous root yield per plant (616 and 620 g). The genotype, Local White yielded higher among the genotypes. The reducing sugar content was influenced significantly by crop geometry and genotypes. The pooled mean showed the highest (15.48 and 17.26 %) reducing sugar in closer geometry 60 cm × 25 cm and Local White genotype respectively and the lowest (11.54 %) in the genotype CIP 440015. CIP genotypes, on the other hand, were high in ß carotene content, whereas the Local genotype had a negligible amount (0.35 mg/100g). On hectare level, our result showed that highest plant density of 66,666 plants ha-1 (60 cm × 25 cm) could give the highest yield per unit area due to greater crop biomass. Our findings suggest that crop geometry can have a considerable impact on sweet potato production. As a result, the geometry of sweet potatoes can be wide or narrow depending on our needs and the area available in our study area or a similar situation.

Bread is the basic nutrient that human beings have consumed for centuries. This is because it is affordable, nutritious and satisfying. The most consumed bread on a daily basis is white bread made from refined flours. Since white breads are made from flour that has been separated from the bran and germ, they are poor in other nutrients (dietary fiber, phenolic compounds and minor nutrients) with a high starch content. For this reason, studies on increasing the nutritional value and functionalization of white bread have attracted attention for years. In this study, the changes in physical, chemical, sensory and textural properties of bread were evaluated with the addition of purple cabbage, sorrel, capia pepper, pomegranate, pumpkin and cherry extracts to bread production. It was determined that the bread was enriched with phenolics with the addition of extracts (65% on flour basis) and the best sensory results were the breads with the addition of capia pepper extract.

Climate Smart Agriculture (CSA) is an integrated approach that transforms the agri-food system and mitigates climate change. They connect the use of farming techniques in order to increase food productivity, Climate resilient practice, and decrease greenhouse gases. The main aim of this review is to demonstrate the typical interrelationship between climate and agriculture and get knowledge regarding this. In addition, focus on traditional agriculture along with its mitigating measures for climate agriculture. They approach collective development practices through the efforts of individuals in order to manage agriculture and the food system under climate change. Therefore, there is an increasing need for a strategic plan to balance agriculture and the food system.

In this study, it was aimed to reveal the structural properties and the effects of husbandry practices on milk yield in dairy farms of Ondokuz Mayıs district of Samsun. While the data were obtained by face-to-face surveys and observations in a total of 59 farms those had ≥10 head cattle between January and June 2018, environmental factors affecting daily milk yield (DMY) were separately evaluated. Important negativeneses were determined on the barn type, bedding material using, calving pens, weaning period of calves, claw care and udder cleaning in the farms. It was informed that local bazaars and cooperatives were commonly used for raw milk marketing, and high feed price was the most important problem. DMY was significantly affected by the experience of farm owner, number of the milking cows, amount of concentrate feed that given and milking type. It was concluded that farm properties and herd management methods have to be restored to elevate milk production in the investigated farms.

Economic growth and employment are taken as the two major objectives of macroeconomic policy schema in both the developing as well as developed countries. This study aims to determine the relationship between the unemployment rate and GDP growth rate of Nepal using the time-series data from 1991-2020. Difference version approach, dynamic version approach and Granger causality test were used to study the relationship between the macroeconomic variables. The difference version and dynamic version approach showed non-significant results for the regression of unemployment rate on economic growth rate which implies that the unemployment rate is not significantly affected by the economic growth rate of Nepal. The Okun’s coefficient in the difference version was -0.057 and in the dynamic version approach it was -0.058. Thus, the Okun’s law doesn’t seem to hold in case of Nepal’s economy. The Granger causality test also revealed that the change in the unemployment rate is not a predictive variable of the GDP growth rate and vice versa. The non-significant relationship between the macroeconomic variables might thus be affected by other factors. Thus, it can be suggested to the government and policymakers to recuperate the ways of solving the unemployment by formulating economic policies that are more directed towards structural and labor market transformation. Tax reduction policy, increase in government spending, skill enhancement programs and youth employment subsidy can also be suggested.