Indian Journal of Plant and Soil

   This topic describes the production of rose and marigold flower in Allahabad city. We have some data which are collected by survey and presented here by table and graph in part of result and discussion. This topic explain the commercial activity of production and marketing of floriculture products is also a source of gainful and quality employment to scores of people The harvesting processes of these crops are very drudgery prone. India being an agricultural country, where majority live in the rural areas, both men and women work very hard in the fields. The harvesting of rose comes under the severe drudgery prone activity (Ergonomic practices, 2003).Marigold is an annual flower plant. The harvesting of the Marigold flower is considered as the severe most drudgery prone activity (Ergonomic practices, 2003) where women have to keep their posture in bending position from the back facing the ground for the harvesting of flowers found that rose and marigold are the main cash crops of Allahabad that involves farmers at great number.

Keywords:   Floriculture; Buds; Commercial; Agro-climate; Entrepreneurial; Drudgery; Rose; Marigold.

A field study was conducted at G.B.P.U.A.&T., Pantnagar to investigate the feasibility of estimating the yield of sugarcane crop based on weather variables. Five years (2004 to 2009) crop management data (sowing/harvest/irrigation etc.) for sugarcane were collected from Agricultural farm, Pantnagar. The development of multiple variable regression models employs that the dependent variable (yield) of multiyear is related with independent weather variables. SPSS (Statistical Package for the Social Sciences) software was used for the statistical analysis and development of multiple regression models based on fortnightly meteorological parameters. A total number of 8 models were developed using different combinations of fortnightly weather variables at different crop growth stages. Among all models, the performance of the model 8 was superior as compared to other models. The predicted yield by this model ranged between 349.39q ha-1 to 803.76q ha-1 with the value of R2 as 0.668, while the observed values ranged from 221.80q ha-1 to 824.16q ha-1. The RMSE between observed and predicted yield of sugarcane by model 8 was 15.49%, while the value of F test was 7.32 which is significant at 1% probability level. Hence, it can be concluded that the observed and predicted values were close enough in model 8 as compared to other meteorological models. The reason is obvious because model 8 used more number of weather variables.

Keywords: Weather parameters; Coefficient of correlation and Yield prediction models.

Optimum diversion oftotal  Biomassmanufactured by plants to  parts supporting economic end product is vital in commercial agriculture. The fraction of bio mass used for economic end product out of total biomass manufactured by the plants is termed as Harvest index Factors that decide optimization  of Harvest index  for  maximizing productivity in terms of economic end product vary with crops  and   their relevance In Tea cultivation  are brought out in  this paper.The physiological concepts have helped Agronomist to formulate guide lines  for managing Harvest in Tea culture

Keywords: Harvest index. Biomass apportioning, productivity

The main objective of the study is to determine the availability of trace elements in soils of Ropar and Garhshankar Forest division of Punjab. For analysis of the soils, 34 soil samples were collected from different nursery plantation of Ropar and Garhshankar Forest division in Punjab. The available trace elements can be determined in DTPA extract using AAS. The trace elements consider in this soils were Zn, Mn, Cr, Cu, Fe and Co. After analyses, the result found to be highly contaminated with heavy metals in the soils of this region. The ranges of available trace elements are Zn(0.003-8.084)ppm, Mn(1-5)ppm, Cr(0-9.5)ppm, Cu(0-1.7)ppm, Fe(0-8)ppm, Co(0-1.5)ppm. The increasing order of the trace elements of this soils were Co<Cu<Mn<Fe<Zn<Cr. The pH of Punjab soil is slightly alkaline which ranges from 7 to 8.9. The bulk density and porosity are dependent on soil texture and the densities of soil mineral (sand, silt, and clay) and organic matter particles, as well as their packing arrangement. The bulk density and porosity in soil of Punjab shows that the soils in this region are loosely arranged and less compact.