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Wednesday, November 25, 2020 | History

2 edition of Crop output projections for states by agro-climatic sub-regions found in the catalog.

Crop output projections for states by agro-climatic sub-regions

Crop output projections for states by agro-climatic sub-regions

based on an inter-regional area allocation model.


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  • 9 Currently reading

Published by Agro-Climatic Regional Planning Unit, Planning Commission, Sardar Patel Institute of Economics & Social Research in Ahmedabad .
Written in English

  • India.
    • Subjects:
    • Crop yields -- India.,
    • Agricultural productivity -- India.

    • About the Edition

      With reference to India.

      Edition Notes

      Microfiche. New Delhi : Library of Congress Office ; Washington, D.C. : Library of Congress Photoduplication Service, 1999. 2 microfiches. Master microform held by: DLC.

      SeriesARPU working paper ;, no. 8
      ContributionsIndia. Planning Commission. Agro-Climatic Regional Planning Unit.
      LC ClassificationsMicrofiche 99/60062 (S)
      The Physical Object
      Pagination117 p.
      Number of Pages117
      ID Numbers
      Open LibraryOL156010M
      LC Control Number99931434

      Changes in temperature, CO2, and precipitation under the scenarios of climate change for the next 30 years present a challenge to crop production. This review focuses on the impact of temperature, CO2, and ozone on agronomic crops and the implications for crop production. Understanding these. smallholder farmers), crop rotation (e.g. the important of cash crops like cotton in terms of residual P and N for the subsequent legume and cereal crops, respectively), minimum or conservation tillage systems, expedite the scaling out of new sorghum and millets. The U.S. corn-yield forecast of bushels per acre exceeded trade expectations by bushels. The projected corn crop is million bushels larger than the average trade guess at billion bushels. As expected, due to poor crop-condition ratings, the eastern Corn Belt yield projections came in at worse levels than the previous year. World agriculture faces a serious decline this century due to global warming unless emissions of carbon dioxide and other greenhouse gases are substantially reduced, according to a new study by William Cline, a senior fellow at the Center for Global Development and the Peterson Institute. Developing countries, many of which have average temperatures that are already near or.

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Crop output projections for states by agro-climatic sub-regions Download PDF EPUB FB2

This full text file contains reports, issued weekly during the growing season (April to November), which lists planting, fruiting, and harvesting progress and overall condition of selected crops in major producing states. The data, summarized by crop and by state, are republished along with any revisions in the Weekly Weather and Crop Bulletin.

Agro-Climatic Regional Planning Unit (), Crop Output Projections for States by -Regions, ARPU Working Paper No.8,Ahmedabad, Sardar Patel Institute of Economics and Social Research, October.

Ahluwalia,Deepak(), Public Distribution of Food. Crop Production Summary (February ) 3 USDA, National Agricultural Statistics Service Corn for grain production in was estimated at billion bushels, down 1 percent from the average yield in the United States was estimated at bushels per acre, bushel below the record yield ofFile Size: 2MB.

Agricultural Trade Multipliers provide annual estimates of employment and output effects of trade in farm and food products on the U.S. economy. Farm Income and Wealth Statistics.

Forecasts and estimates of farm sector income with component accounts: for the United States, F; and for States, Updated December 2,   Sorghum is a drought hardy crop, suited for semi-arid agro climatic regions (Hand book of Agriculture, ). In the former state of Andhra Pradesh, jowar is the principal food grain next only to rice, cultivated under mostly rain-fed by: 6.

The result of the above study showed that there was an average rising trend in the annual minimum temperature (° Cyr-1) over all the agro-climatic zones of the state.

USDA strives to sustain and enhance economical crop production by developing and transferring sound, research-derived, knowledge to agricultural producers that results in food and fiber crops that are safe for consumption.

Crop Acreage and Yield Crop Acreage and Yields USDA produces charts and maps displaying crop yields, crop weather, micromaps, and crop acreage animations. Dr Dirk Hays, Department of Soil and Crop Sciences, Texas A&M University, Olsen Blvd., TAMU, College Station, TXUSA. E-mail: [email protected] Dr Peter R.

Hobbs, Department of Crop and Soil Sciences, Bradfield Hall, Cornell University, Ithaca NYUSA. E-mail: [email protected] They are worse off in respect of crop output (in value and physical terms), the scientific equalisation of inputs, other aspects of technology, and land-tenure arrangements.

Table 7 shows the drastic divergence of the mean of income from crop production between the worst-off 20 households and the best-off 20 households in eight selected.

lecture-wise course breakup lecture 1: agriculture, importance of agriculture, crop production art, science and business, factors affecting crop production lecture 2: classification of crops based on their utility and seasons of growing, major and principal crops of the country, introduction to.

For well over half the states, field corn, soybeans or hay was the crop that generated the most cash inthe latest year for which data are available.

Though a small share of some of these crops does eventually get eaten by humans, in the form of things like soy lecithin and high-fructose corn syrup, most of it is fed to animals raised for.

“Crop Output Projections for States by Agro-Climatic Subregions (Based on an Inter-Regional Area Allocation Model)”.

(), ARPU Working Paper No.8, ARPU, Planning Commission, Ahmedabad. Co-author. “Agro-Climatic Regional Planning – District Level” (), ARPU Working Paper No. 7, ARPU, Planning Commission, Ahmedabad. Co-author. Agro-climatic data by county (ACDC) is designed to provide the major agro-climatic variables from publicly available spatial data sources to diverse end-users.

ACDC provides USDA NASS annual (–) crop yields for corn, soybeans, upland cotton and winter wheat by county. Customizable growing degree days for 1 °C intervals between −60 °C and +60 °C, and total. The importance of crop production is related to harvested areas, returns per hectare (yields) and quantities produced.

Crop yields are the harvested production per unit of harvested area for crop products. In most of the cases yield data are not recorded, but are obtained by dividing the production data by the data on area harvested.

Winter wheat production plays an important role in the gross output of Jiangsu. Winter wheat is planted in all of the sub-regions in this province (Figure 1b).

From tothe output of winter wheat accounted for approximately %~% of the total grain production in this region and %~% of the planting area in China. Secondly, while the study models the impact of climate on total crop revenue, the current study proposes to go further and assess the impacts on gross maize and tea revenue separately.

Tea is an important cash crop mainly exported whereas maize is a major staple in Kenya. Materials and methods Data description Farm household data. crop of dry regions and grows well on red, black, sandy, loamy and shallow black soils.

Major ragi producing states are: Karnataka, Tamil Nadu, Himachal Pradesh, Uttarakhand, Sikkim, Jharkhand and Arunachal Pradesh. Maize: It is a crop which is used both as food and fodder. It is a kharif crop which requires temperature between 21°C to 27°C.

Mall RK, Singh N, Singh KK, Sonkar G, Gupta A () Evaluating the performance of RegCM4. 0 climate model for climate change impact assessment on wheat and rice crop in diverse agro-climatic zones of Uttar Pradesh, India. Clim Chang (3–4)– Article Google Scholar.

In book: Impact of Climate Change on Plantation CropsChapter (pp) Tea Producing States of North India (a), and Districts of South India (b). Tea crop has rather speci c agro-climatic.

optimized shifts in sowing times of field crops to the projected climate changes in an agro-climatic zone of pakistan - volume 54 issue 2 - muhammad tousif bhatti, khaled s. balkhair, amjad masood, saleem sarwar. Table Calendar of Release of Various Forecasts by the Mahalanobis National Crop Forecast Centre Table Crop Selection from Various States Table Number of Holdings, Operated Area and Average Size of Holdings as per Agriculture Census, Table Average Size of Operational Holdings in Various Agriculture Censuses The coordinate system for the 1/8-mesh grid cells is a by grid laid on a polar stereographic projection for the northern and southern hemispheres (refer to Figure 2).

The projection is true at degree latitude, with the grid cell resolution ranging from km at the poles to km near the equator. Crop Changes Change in potential average yields for corn, potatoes, rice, and wheat in Climate change may actually benefit some plants by lengthening growing seasons and increasing carbon.

third of the crop will not reach maturity until the frost date has passed, it is assumed that some frost damage will result. Long-range weather projections are not used as an indicator for final yield. The reference point for crop forecast surveys is the first of the month, which is also usually close to the mid-point of data collection.

Downloadable. Using farm‐level survey data from Ethiopia, this paper estimates a quadratic restricted profit function to assess the supply response of smallholder farmers. All major crops are identified in the analysis and variations in agro‐climatic and farming systems are accounted for.

Peasant farmers, at least in the more commercial Central and Southern zones, do respond positively and. unchanged from the previous forecast but down bushels from Area harvested for beans in the United States is forecast at million acres, unchanged from the previous forecast but down 14 percent from All cotton production is forecast at million pound bales, down 4 percent from the previous forecast but up.

Downloadable. The analysis is based on an integrated climatic, agronomic and economic model of grain production in the midwestern region of the U.S. The model represents a typical farm and the objective is to select an optimum combination of cultivars for four crops (maize, soybean, wheat and sorghum) conditionally on climate, soil characteristics and the prices of the four crops.

The crop simulation takes three major factors into account: weather, soil and crop characteristics. For each of these factors input data are required. In order to have the output data also available for administrative regions such as countries or provinces also these should be known to the system.

Crop yields are projected to decrease under future climate conditions, and recent research suggests that yields have already been impacted. However, current impacts on a diversity of crops subnationally and implications for food security remains unclear.

Here, we constructed linear regression relationships using weather and reported crop data to assess the potential impact of. Economic Water Productivity (EWP): Economic water productivity is defined as the ratio of value of crop output to the amount of water requirement.

This represents the economic return from a cubic metre of water. It is expressed as Rs/m 3. Here, ‘i‘ refers to the crop variety and ‘t‘ represents the time period. The ratios have been. The first golden kiwi crop was harvested in East Texas in using cultivars from Auburn University in Alabama, and enthusiastic researchers like David Creech have been growing increasingly larger crops every year.

The humidity and acidic soil of East Texas seem like a perfect match for this potentially lucrative crop. The UN Food and Agricultural Organization (FAO) publish yield estimates across a range of crop commodities by country over this period. The FAO report yield values as the national average for any given year; this is calculated by diving total crop output (in kilograms or tonnes) by the area of land used to grow a given crop (in hectares).

The Midwestern USA ranks among the most important agricultural production regions in the world. Supply of agricultural commodities from the region is complicated by weather and its long term variant climate, which remain among the most important uncontrollable variables involved in regional crop production.

As evidenced during the major U.S. drought ofthe role of growing season. Public-available crop reports are one of the main sources of information about underlying supply and demand in many agricultural markets. Government agencies, such as the United States Department of Agriculture (USDA), collect and analyze data on crop supply and demand, and then distribute their results and forecasts to all market participants.

The response of a crop, say C 2, with respect to the weather conditions W 1, W 2, etc., should be concave to the weather axis, which means that a given climate (suppose W 2) is required to attain the best possible level (the peak).

For each crop, there is a known weather condition at which that crop grows optimally during a crop season. A skillful seasonal forecast in a monthly or seasonal average sense is necessary, but does not guarantee a good crop yield forecast (Shin et al.

; Baigorria et al. The seasonal climate forecast should capture the high-frequency modes of weather/climate variability (e.g., wet/dry spell sequences) properly to use it in a crop model for. The Group on Earth Observations, GEO, (a partnership of governments and interna- tional organizations) developed the Global Agricultural Monitoring (GEOGLAM) initiative in response to the growing calls for improved agricultural information.

The goal of GEOGLAM is to strengthen the international community’s capacity to produce and disseminate relevant, timely and accurate forecasts. Figure 2 provides an example of output of an operational crop forecast system that utilizes an integrated climate forecast system—a crop modelling system.

The particular example presented here provides indication of the capability of the forecast system to provide future potential shire yield values in the early developmental stages of an El. On Monday, the USDA’s Economic Research Service (ERS) released a report titled, “An Exploration of Crop Markets: A Deeper Look Into the USDA Crop Baseline Projections,” which discussed the February USDA long-term crop projections in greater detail.

Today’s update highlights aspects of the report relating specifically to corn and soybeans. The USDA forecast includes output from both the developing and commercial sectors, with the commercial sector accounting for approximately 96 percent of the total crop.

Area is forecast at million hectares (mha), up mha (11 percent) from last. “Crop Input Plan: Irrigation and Fertilizer Projections based on the Agro-Climatic Regional Planning Exercise,” ARPU Technical Paper # 11, Planning Commission, New Delhi.

(with D. Basu and S. Joshi). Books Conflict Management of Water Resources. UK, Ashgate. (Co-edited with M. Chatterji and S. Arlosorrof).This reference provides a framework for assessing the weather's impact on world crop production by providing benchmark climate and crop data for key producing regions and countries.

For each area, maps define the zones of concentration for major crops, and, temperature and precipitation by month at representative : Joint Agricultural Weather Facility, U.S. Department of Agriculture. This study focused on analysis of global food demand and supply situation by andwater demand-availability, impact of climate change on world water resource, food security and desalination challenges and development opportunities.

The population of the world will be billion in and billion in ; Africa will be the major contributor.