581,003 research outputs found

    Characterization And Rejuvenation Of Local Ecorace Sukinda In Odhisa State

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    An experiment of outdoor rearing was conducted with the available Sukinda (TV) stock of BSM&TC, Sundargarh (SG), CTSSS, Lakha (CTS) and CTR&TI, Ranchi. The objective of this activity is to utilize economic wild life, conserving the associated environment for sustainable rural and tribal development (Raffi and Ramanujam, 2001; Gill and Lal, 2002; Mahapatra, 2009).

The crop performance of SG showed highest cocoon yield i.e., 83 cocoons / dfl in 1st crop followed by 80 cocoons / dfl in 3rd crop and 42 cocoons / dfl during 2nd crop. Yellow coloured cocoons dominated (94-96%) the population in all the three crops. The cocoon weight, Shell weight and Silk Ratio were (9.72g, 1.07g&11 %) in 1st crop,(9.77g,1.05g & 10.75%) in 2nd crop and (11.11g,1.79g & 16.11%) in commercial third crop season. The ERR were 41.64 %, 50.00 % and 74.51% in 1st, 2nd and 3rd crop respectively. This approach for semi-domesticated and commercially exploited Sukinda ecoraces can further enhances their potential because of better inherent performance levels under in situ (Suryanarayana and Srivastava, 2005) over the current basic and commercial stocks maintained ex situ.
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    Results from the Crop Identification Technology Assessment for Remote Sensing (CITARS) project

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    The author has identified the following significant results. It was found that several factors had a significant effect on crop identification performance: (1) crop maturity and site characteristics, (2) which of several different single date automatic data processing procedures was used for local recognition, (3) nonlocal recognition, both with and without preprocessing for the extension of recognition signatures, and (4) use of multidate data. It also was found that classification accuracy for field center pixels was not a reliable indicator of proportion estimation performance for whole areas, that bias was present in proportion estimates, and that training data and procedures strongly influenced crop identification performance

    Organic Cotton Crop Guide - A manual for practitioners in the tropics

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    Designed primarily as a reference manual for extension workers and farmers, the Organic Cotton Crop Guide provides comprehensive practical know-how on organic cotton production in the tropics. The guide covers all relevant aspects from soil preparation and variety selection over crop nutrition and pest management to the economic performance of organic cotton farming

    Performance of Agronomic Crop Varieties in Alaska 1978 –2002

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    There is no such thing as the perfect variety for Alaska. Some varieties are adapted to a wide range of climatic and geographic locations, while others are more specific in their adaptation. The change in elevation of a few hundred feet or a move of a few miles can have a considerable effect on the performance of any variety. Also, cultural practices such as tillage, fertilizer rates, planting date, seeding rate, pest control, and a multitude of other factors can also influence crop yields. This is especially noticeable in northern environments such as Alaska. For example, date-of-planting studies done by F.J. Wooding (1973) and C.W. Knight (1989) found that any date after the middle of May for planting an agronomic crop can result in delayed maturity, low yields, and low quality grain, even for the best adapted varieties for Alaska

    Sunflower Variety Trial

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    Although sunflowers are a relatively new crop in the Northeast they have potential to add value to diversified operations providing fuel, feed, fertilizer, and an important rotational crop. Some sunflower varieties have also been gaining popularity for their potential to produce high quality edible oil. The major sunflower production region of the U.S. is the northern Great Plains, so most of the available production and agronomic management guidelines are from this region. Identifying varieties and management practices of sunflower that are suited to the local climate is essential to viable crop production and expansion of the sunflower acreage in the Northeast. With this in mind, UVM Extension’s Northwest Crop and Soil Program has been evaluating performance of sunflower varieties in our microclimate

    Comparative Performance of Selected Mathematical Programming Models

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    This study compares the predictive performance of several mathematical programming models. Using the cropping patterns, yields and crop gross margins of eighteen farms over a period of five years we compare the models' optimum solutions with observed crop distributions after the Reform of the EU Common Agricultural Policy of 1992. The results show that the best prediction corresponds to a model that includes expected profit and a qualitative measure of crop riskiness. The results suggest that, in order to obtain reliable predictions, the modelling of farmers' responses to policy changes must consider the risk associated with any given cropping pattern. Finally, we test the ability of the proposed model to reproduce the farmers' observed behaviour with equally good performance under conditions of limited data availability.model performance, mathematical programming, modelling, decision-making, Resource /Energy Economics and Policy,

    THE ECONOMIC IMPORTANCE OF CROP ROTATION SYSTEMS: EVIDENCE FROM THE LITERATURE

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    Agricultural sustainability requires that the individual farm firm be competitive and profitable while simultaneously enhancing environmental quality and the natural resource base upon which the farm firm and agricultural economy depends. The reliance of conventional agriculture systems on purchased inputs external to the firm presents possible challenges to the long-term sustainability of the system. Crop rotation systems are one cropping system alternative that can reduce agriculture's dependence on external inputs through internal nutrient recycling, maintenance of the long-term productivity of the land, and breaking weed and disease cycles. Decision criteria to choose among competing crop rotation systems can include impact on soil quality and fertility, environmental quality, and farm profitability. However, most of the comparative economic analysis work reviewed for this paper considered only farm profitability as a criterion to rank alternative crop rotation systems. Most rotation research is focused around a target crop that is the foundation for the crop rotation system. When corn is the target crop, comparative profitability performance of continuous corn vs. corn grown in rotation showed that neither system is consistently more profitable than another. Corn yield in Michigan does respond favorably to crop diversity. Wheat as the target crop in rotation tends to outperform continuous wheat both in terms of profitability and income risk. Sugar beet prices hold the key in determining the profitability ranking of alternative sugar beet-based crop rotations. Potato in rotations tends to outperform continuous potato both in terms of yield and profitability. Future studies addressing the economic performance of crop rotations need to consider the environmental benefits/costs both on and off the farm site that accrue to society. Keywords: Agricultural sustainability, external inputs, soil quality and fertility, environmental quality, crop rotations, comparative economic analysis, farm profitability.Agricultural sustainability, external inputs, soil quality and fertility, environmental quality, crop rotations, comparative economic analysis, farm profitability., Crop Production/Industries,

    Effects of field crops on animals: Considerations with regard to design using Chlormequat-treated wheat crop as an example

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    There is concern whether consuming products based on crop from Chlormequat-treated fields can cause reproduction problems in animals and humans. An experiment is presently being conducted to investigate this using the pig as a model. Considerations with regard to experimental design when investigating whether differently treated crop can affect animal/human biology is discussed. Only about half of the data are presently available. A preliminary survey of these data does not show clear differences between Chlormequat-treated and organic non-treated wheat with regard to reproduction performance of pigs
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