No abstract

Identification of cropland suitability is obligatory to adapting to the increased food needs driven by population expansion, environmental contamination, and climate change. Given this, the present study was conducted to assess cereal crops’ suitability in India’s Haryana state by integrating Analytic Hierarchy Process (AHP) and geographic information system (GIS) technique. Multiple factors were considered for this study, such as rainfall, temperature, soil texture, drainage density, pH, organic carbon, electrical conductivity, and slope. The AHP technique was utilized to decide the weights of each individual parameter using experts’ opinions. The crop-suitability model was developed using the model builder module in ArcGIS 10.8, and each input parameter was reclassified as per the optimum crop-growth requirement and overlaid utilizing the reclassify tool and weighted overlay analysis. The crop suitability classes were estimated as highly suitable, S1 (6%); moderately suitable, S2 (71%); and marginally suitable, S3 (23%) for the calculated arable land for the wheat crop. Similarly, the crop suitability class of rice S2 (28%); S3 (72%), for sorghum S1 (28%); S2 (71%); S3 (1%), for maize S2 (85%); S3 (15%) and for pearl millet S1 (60%); S2 (40%) were also estimated. The study has observed that, as per the soil physico-chemical characteristics and climate, the area is moderately fertile. Therefore, agricultural production can be improved by cultivating the crop in highly and moderately suitable zones. Diversification of marginally suitable regions for crops other than that for which it is not suitable can be taken up, which will also ensure the income security of marginal farmers.

This paper has analyzed the patterns and sources of growth in pulses production in India and has examined their implications for future growth of pulses production. The study has observed an increasing trend in pulses production, driven mainly by yield improvements. The contributions of area expansion and prices to pulses growth have been erratic, suggesting that these can not be the sustainable sources of growth in pulses. Further, farmers' area allocation decisions to pulses are not price-dependent, but depend on nonprice factors, mainly rainfall. These findings imply that in the short-run, to boost pulses production, the policy should address the non-price constraints such as irrigation, access to credit and input supply. However, the growth in pulses production in the long-run must come from technological changes.

Nanoparticles have been used in numerous fields, various branches of science and engineering. These were used as a modification and to enhance the activity such as dentistry and oral investigation. The current survey uncovers that graphene oxide has been used to set up a variety of functionalized nanoparticles and progressed nanocomposites carriers. Graphene oxide shows potential in a variety of research examinations, for instance, tooth bleaching, antimicrobial activity, tooth erosion, teeth implants, toothaches, drug delivery at a specific site. All these usages of graphene oxide to biomedicine are excellent, and consoling Graphene oxide use in dental science has given amazing outcomes in antimicrobial activity, bone tissue building, regenerative dental, advancing dentistry biological materials, and in the treatment of oral cancer. The biocompatibilities of graphene oxide and its nanomaterial make them approaching units in bone regeneration, osseointegration, and cell multiplication. Furthermore, its antibiofilm and antiadhesion action encouraged researchers to formulate graphene oxide for biofilm. Nanostructures are utilized advancements or exploration of dentistry, and nanocomposite is employed for oral ailment preventive drugs, prostheses, and teeth implantation. Nanomaterials are further utilized as an oral liquid, mouth wash, or medication, forestalling and facilitating some oral malady and keep up oral wellbeing.

Climate change  have a considerable impact on crop water demand (ETc). The  present study analyzed the spatio-temporal variation of the crop water requirement (ETc), crop water surplus deficit index (CWSDI), and the coupling degree of ETc and effective precipitation (Pe) for maize (Zea mays L.) crop  grown in  Haryana State of India using ArcMap 10.8 software. ETc was calculated using the Penman-Monteith method and crop coefficient (Kc) approach for 34 years (1985-2018) climatic data. Two statistical models, namely Mann–Kendall test and Sen’s slope estimator, were applied to understand the trend, while Pettitt's test was used to identify abrupt change points by using XLSTAT 2021 software.The result showed that for maize ETc ranged from 571 to 766 mm, CWSDI ranged from -29 to -74% and the degree of coupling of ETc and Pe ranged from 0.26 to 0.71 during 1985-2018. The decadal temporal variation of these indices indicated that ETc during 2007-2018 was relatively higher than it was from 1985-1995 and 1996-2006. The spatio-temporal values of CWSDI indicated that almost all the districts were under water deficit conditions for growing maize crop.Trend analysis showed significantly increasing trend of  CWR for most  of the districts except Jind, Mewat, Palwal, Panchkula, Rewari, Rohtak  and Yamunanagar.The abrupt change point detection analysis of CWR indicates toward different change points, with maximum change points between the years 2004–2008.Such information will help to the farmers in the effective management of water for sustainable production under climate change in the near future.