Yields of relay cropped greens grown in green roof production systems

As interest in urban food production increases, urban farmers are looking for solutions to the challenge of space availability. One solution is to move production to building rooftops, a space that is often underutilized. The use of green roof technology is one method of achieving food production on rooftops; however, there are some additional challenges associated with this practice as a result of the fast-draining, low-nutrient media used. This is particularly challenging for vegetable crops, which typically require more nutrients than the ornamental plants traditionally grown in green roof media. Some rooftop farmers are adding additional organic matter in the form of compost to their beds as an alternative to chemical fertilizers. Currently, there is little research on how rooftop production systems affect crops. Green roof platforms were established at the Harold R. Benson Research and Demonstration Farm in Frankfort, Kentucky, to examine crop yield in green roof systems supplemented with compost. Treatments were a topsoil no compost control, a green roof media no compost control and 3 green roof media treatments: the addition of 0.33, 0.66, or 1 kg m-2 of compost. Organic fertilizers were used to supply additional nutrients to vegetable plants. The crops selected were lettuce, arugula, mizuna, mustard, Swiss chard, kale, and spinach. These were relay cropped in succession during two growing seasons (2018 and 2019). At each harvest, the amount of time harvesting required (in seconds), total yield, and marketable yield (determined by visual examination) were measured for each platform. Yield results were analyzed in R. Analysis of variance was performed on all variables for each crop; compost treatment and year were fixed effects. Significant differences between treatment means were analyzed using Tukey HSD (alpha of 0.05). Results for kale show differences between 2018 and 2019 for harvest time and total yield in the topsoil control, but no differences for marketable yield. These differences are likely due to weather conditions. Kale harvest time, total yield in 2019 but not 2018, and marketable yield were highest in the topsoil control. Harvest time of the topsoil control was not significantly higher than the 1 kg m-2 of compost in green roof media. The marketable yield of the topsoil control was not significantly higher than 0.66 or 1 kg m-2 compost treatments in green roof media. Results for additional crops will also be presented

Effect of climate change in paddy production and adaptation strategies in Tharu communities of Dang district, Nepal

A study on effects of climate change on rice (Oryza sativa) production in Tharu communities of Dang district of Nepal was conducted in 2018A.D to investigate the perception and major adaptation strategies followed by Tharu farmers. The study areas were selected purposively. Cross-sectional data was collected using a household survey of 120 households by applying simple random sampling technique with lottery method for sample selection. Primary data were collected using semi-structured and pretested interview schedule, focus group discussion and key informants interview whereas monthly and annual time series data on temperature and precipitation over 21years (1996-2016) were collected from Department of Hydrology and Meteorology, Kathmandu as secondary data. Descriptive statistics and trend analysis were used to analyze the data. The ratio of male and female was found to be equal with higher literacy rate at study area than district. Most of the farmers depended on agriculture only for their livelihood where there was large variation in land distribution. Farmers had better access to FM/radio for agricultural extension information sources. The study resulted that Tharu farmers of Dang perceived all parameters of climate. Temperature and rainfall were the most changing component of climate perceived by farmers. The trend analysis of temperature data of Dang over 21 years showed that maximum, minimum and average temperature were increasing at the rate of 0.031°C, 0.021°C and 0.072°C per year respectively which supports the farmers perception whereas trend of rainfall was decreased with 7.56mm per year. The yearly maximum rainfall amount was increased by 1.15mm. The production of local indigenous rice varieties were decreasing while hybrid and improved rice varieties were increasing. The district rice production trend was increasing which support the farmer’s perception. The study revealed that there were climate change effects on paddy production and using various adaptation strategies to cope in Dang district

In vitro Cultivation of Newly Reported Wild Edible Mushroom Volvariella bomybycina from Nepal

Wild edible mushrooms are becoming endangered all over the world. Very few wild edible mushrooms are found in natural habitat. Volvariella bombycina is an edible and medicinal mushroom. The mushroom was collected in natural habitat growing on Populus tree. Mycelium of the mushroom was developed in PDA slant tubes by tissue culture method, incubated at 25°C for 1-2 weeks. Spawn was developed in wheat grains after incubation at 25°C for 2-3 weeks. Substrates were formulated for the development of fruiting bodies by combination of paddy straw, saw dust and rice husk. Fruiting bodies of V. bombycina was cultivated in these substrates after incubation at 28 ± 2°C for 2-4 weeks. The work describes the optimized process for in vitro culture of wild edible mushroom Volvariella bomybycina.Nepal Journal of Biotechnology. Dec. 2017 Vol. 5, No. 1: 27-3

COVID-19 Pandemic, Climate Change, and Conflicts on Agriculture: A Trio of Challenges to Global Food Security

Global food security is a worldwide concern. Food insecurity is a significant threat to poverty and hunger eradication goals. Agriculture is one of the focal points in the global policy agenda. Increases in agricultural productivity through the incorporation of technological advances or expansion of cultivable land areas have been pushed forward. However, production growth has slowed in many parts of the world due to various endemic challenges, such as decreased investment in agricultural research, lack of infrastructure in rural areas, and increasing water scarcity. Climate change adversities in agriculture and food security are increasing. Recently, the COVID-19 pandemic has severely affected global food supply chains. Economic and social instability from the pandemic contribute to long-term disturbances. Additionally, conflicts such as war directly affect agriculture by environmental degradation, violence, and breaches of national and international trade agreements. A combination of food security and climate change challenges along with increased conflicts among nations and post-COVID-19 social and economic issues bring bigger and more serious threats to agriculture. This necessitates the strategic design of policies through multifaceted fields regarding food systems. In this comprehensive review, we explore how these three challenging factors, COVID-19, climate change, and conflicts, are interrelated, and how they affect food security. We discuss the impact of these issues on the agricultural sector, plus possible ways of preventing or overcoming such adverse effects

Evaluating the Effects of Bacillus subtilis Treatment and Planting Depth on Saffron (Crocus sativus L.) Production in a Green Roof System

Given the current urbanization context and rising interest in green roof systems, growing a high-value crop such as saffron crocus in green roof medium could be an opportunity to use the benefits of both the crop and the green roof system; the drainage, aeration, and sand-like texture of green roof media make it suited for saffron production, and the saffron market price could make green roof production commercially viable. Various factors, including plant diseases and planting depth, could affect saffron production. Therefore, this research was conducted to evaluate the effects of planting depth and biofungicide treatments using Bacillus subtilis on saffron production in a green roof system. A completely randomized factorial block design was used with planting depth (10 cm and 15 cm) and B. subtilis strain QST 713 biofungicide treatments (an untreated control, 15.6 × 109 cfu/L, and 31.2 × 109 cfu/L) as independent variables. In 2019, fresh flower yield, fresh stigma yield, and dry stigma yield were calculated during harvesting, and additional data on flower number, tepal length and width, stigma length, and harvest time were collected in 2020. All variables were analyzed using analysis of variance (ANOVA) with planting depth and biofungicide treatments as fixed effects using R. Fresh stigma yield and dry stigma yield were higher in the 10-cm planting depth in 2019. Results were opposite in 2020: flower number, fresh flower yield, fresh stigma yield, dry stigma yield, and harvest time were higher in the 15-cm planting depth than the 10-cm planting depth. B. subtilis treatments did not affect any studied variable in 2020, but in 2019, the higher level of fungicide treatment resulted in lower fresh flower yield and dry stigma yield. There was no effect of biofungicide treatment and planting depth on tepal length, tepal width, and stigma length in both years. This study showed that growing saffron crocus on green roofs is feasible and even resulted in higher yield than field production in many saffron-producing regions and countries. In addition, results indicated that shallow planting might be suitable for annual production, whereas deeper planting could be ideal for perennial production based on the objective. Our findings demonstrated the feasibility of saffron production in the green roof system and suggest further research to develop best management practices

Sequence Analysis of Rifampicin Resistance Determining Region (RRDR) of Mycobacterium Tuberculosis

Mycobacterium tuberculosis has become the cause for one of the most dreadful disease which the mankind has ever known i.e. Tuberculosis. The organism holds the ability to infect multiple organs at a time resulting in multiple symptomatic presentations in pathogenic condition while in non-pathogenic condition, it can lay dormant and remain asymptomatic. The research work presented here aimed at sequencing of Rifampicin Resistance Determining Region (RRDR) of the rpoB gene present in phenotypically multidrug resistant M. tuberculosis. The findings showed that the major point of mutations to be present within this region was at codon 516, 526, and 531. Early diagnosis of multidrug resistance in any pathogen has become a pre – requisite for proper treatment and efficient elimination of pathogenic organisms from the host with minimal toxicity. Similarly, understanding the mutation dynamics of target genes also help in novel drug design and discovery

Zinc biofortification through seed nutri-priming using alternative zinc sources and concentration levels in pea and sunflower microgreens

Micronutrient deficiencies caused by malnutrition and hidden hunger are a growing concern worldwide, exacerbated by climate change, COVID-19, and conflicts. A potentially sustainable way to mitigate such challenges is the production of nutrient-dense crops through agronomic biofortification techniques. Among several potential target crops, microgreens are considered suitable for mineral biofortification because of their short growth cycle, high content of nutrients, and low level of anti-nutritional factors. A study was conducted to evaluate the potential of zinc (Zn) biofortification of pea and sunflower microgreens via seed nutri-priming, examining the effect of different Zn sources (Zn sulfate, Zn-EDTA, and Zn oxide nanoparticles) and concentrations (0, 25, 50, 100, and 200 ppm) on microgreen yield components; mineral content; phytochemical constituents such as total chlorophyll, carotenoids, flavonoids, anthocyanin, and total phenolic compounds; antioxidant activity; and antinutrient factors like phytic acid. Treatments were arranged in a completely randomized factorial block design with three replications. Seed soaked in a 200 ppm ZnSO4 solution resulted in higher Zn accumulation in both peas (126.1%) and sunflower microgreens (229.8%). However, an antagonistic effect on the accumulation of other micronutrients (Fe, Mn, and Cu) was seen only in pea microgreens. Even at high concentrations, seed soaking in Zn-EDTA did not effectively accumulate Zn in both microgreens’ species. ZnO increased the chlorophyll, total phenols, and antioxidant activities compared to Zn-EDTA. Seed soaking in ZnSO4 and ZnO solutions at higher concentrations resulted in a lower phytic acid/Zn molar ratio, suggesting the higher bioaccessibility of the biofortified Zn in both pea and sunflower microgreens. These results suggest that seed nutrient priming is feasible for enriching pea and sunflower microgreens with Zn. The most effective Zn source was ZnSO4, followed by ZnO. The optimal concentration of Zn fertilizer solution should be selected based on fertilizer source, target species, and desired Zn-enrichment level

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges

Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps during the live examination can be challenging due to various factors such as variation of skills and experience among the endoscopists, lack of attentiveness, and fatigue leading to a high polyp miss-rate. Deep learning has emerged as a promising solution to this challenge as it can assist endoscopists in detecting and classifying overlooked polyps and abnormalities in real time. In addition to the algorithm's accuracy, transparency and interpretability are crucial to explaining the whys and hows of the algorithm's prediction. Further, most algorithms are developed in private data, closed source, or proprietary software, and methods lack reproducibility. Therefore, to promote the development of efficient and transparent methods, we have organized the "Medico automatic polyp segmentation (Medico 2020)" and "MedAI: Transparency in Medical Image Segmentation (MedAI 2021)" competitions. We present a comprehensive summary and analyze each contribution, highlight the strength of the best-performing methods, and discuss the possibility of clinical translations of such methods into the clinic. For the transparency task, a multi-disciplinary team, including expert gastroenterologists, accessed each submission and evaluated the team based on open-source practices, failure case analysis, ablation studies, usability and understandability of evaluations to gain a deeper understanding of the models' credibility for clinical deployment. Through the comprehensive analysis of the challenge, we not only highlight the advancements in polyp and surgical instrument segmentation but also encourage qualitative evaluation for building more transparent and understandable AI-based colonoscopy systems

Sequence Analysis of Rifampicin Resistance Determining Region (RRDR) of Mycobacterium tuberculosis

Mycobacterium tuberculosis has become the cause for one of the most dreadful disease which the mankind has ever known i.e. Tuberculosis. The organism holds the ability to infect multiple organs at a time resulting in multiple symptomatic presentations in pathogenic condition while in non-pathogenic condition, it can lay dormant and remain asymptomatic. The research work presented here aimed at sequencing of Rifampicin Resistance Determining Region (RRDR) of the rpoB gene present in phenotypically multidrug resistant M. tuberculosis. The findings showed that the major point of mutations to be present within this region was at codon 516, 526, and 531. Early diagnosis of multidrug resistance in any pathogen has become a pre – requisite for proper treatment and efficient elimination of pathogenic organisms from the host with minimal toxicity. Similarly, understanding the mutation dynamics of target genes also help in novel drug design and discovery