172,410 research outputs found

    Factors Affecting Hay Supply and Demand in Tennessee

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    Understanding the interactions between supply and demand for hay is important because of hay’s significance to the agricultural sector and economy, and because hay is an important crop on highly erodible soils. As an example, Tennessee has the most erodible cultivated cropland in the United States (Denton, 2000), nearly half of the state’s current CRP acreage contracts are set to expire in 2007 (U.S. Department of Agriculture, 2006), and hay is one of the most economically important crops produced in the state (U.S. Department of Agriculture, 2004). Cross (1999) attributed the upward trend in Tennessee hay acreage since 1980 to an increasing number of farmers who were searching for alternative production activities, such as hay, pasture and livestock, to replace row crops on erodible soils (U.S. Congress, House of Representatives and Senate, 2002). Hay ranked tenth in value of receipts in Tennessee at 49.25millionin2006andcattleandcalfproductionrankedfirstat49.25 million in 2006 and cattle and calf production ranked first at 500 million. Hay ranked second in value of production at 262millionin2003andaveraged262 million in 2003 and averaged 248 million over a five period from 2002 – 2006. Underscoring the importance of hay in Tennessee was the state’s national ranking of fourth in the production of other hay (excluding alfalfa) at 4.25 million tons in 2006 (U.S. Department of Agriculture, 2007). To quantify these supply and demand relationships, one must understand the characteristics of hay markets. Markets are usually localized because of the weight and bulky physical characteristics of hay. Although hay species are not identical, in many livestock production situations most are close substitutes, with the possible exception of alfalfa hay. In Tennessee, alfalfa is a differentiated hay product used mostly by dairy and equine producers. Nevertheless, alfalfa constituted only 2.5% of all hay produced in Tennessee in 2003 (U.S. Department of Agriculture, 2004) and its price tends to move proportionally with other hay prices; thus, for modeling purposes alfalfa and other hay can be aggregated as in Shumway’s (1983) study of Texas field crops and treated as a composite commodity (Nicholson, 2005) called hay. In 2002, 47,000 operations within the state produced forage, while on the demand side, 50,000 operations were involved in beef and dairy production with another 24,000 equine operations (U.S. Department of Agriculture, 2004). Despite the lack of national and state central markets for hay (Cross, 1999), buyers and sellers seem to be aware of the current prices in their area. Word of mouth, a hay directory website (Tennessee Farm Bureau Federation, 2005), and the Farm Facts bulletin (Tennessee Agricultural Statistics Service, 2004) are among the primary outlets for price discovery (Rawls, September 2004). Hay producers are typically assumed to be price takers (Shumway, 1983) because of the large numbers of sellers and buyers; nevertheless, search costs and price differentials can result from the lack of a central market. Even though hay and livestock producers have avenues for price determination in the short run, they have little information about what causes supply and demand for hay to change from year to year. The overall objective of this research was to illustrate how the understanding of hay markets can provide valuable information to hay and livestock producers and agricultural policymakers. Using the Tennessee hay market as an example, the specific objectives were to: 1) determine the factors that influence Tennessee hay supply and quantify their effects, 2) determine the factors that influence Tennessee hay demand and quantify their effects, and 3) briefly illustrate the importance of hay supply and demand information to policymakers. Estimating factors that influence hay supply and demand can help to provide hay and livestock producers with valuable information for making more informed business decisions and policymakers with insight into how proposed agricultural policies might affect hay and livestock producers. To accomplish the objectives, Tennessee hay supply and demand were modeled econometrically, and the coefficients of the models were used to quantify hay acreage, yield, and price responses to the factors that influence the Tennessee hay market. The results were then used to briefly illustrate the potential impacts on the 2008 Tennessee hay price from the retirement of Conservation Reserve Program (CRP) acreage in 2007. Hay acreage proved to be fairly unresponsive to output and input prices in both the short and long runs. The weak response of hay acreage to own and substitute crop prices may result from many hay producers also being cattle producers that harvest their own hay in an effort to guarantee a reliable supply of roughage to feed their herds throughout the winter months. They might be willing to give up potentially higher profits from a production alternative to avert the risk of feed shortages for their cattle. The hay price appeared to be responsive to real per capita income with a price flexibility of 1.55. This finding is reasonable because an increase in real per capita income results in more purchasing power for a typical household. As purchasing power increases, one would expect beef consumption to increase because beef is a normal good (Schroeder and Mark, 1999). Increased beef consumption would positively influence the derived demand for beef production inputs; hence, increased demand for hay. A weak response of hay price to the quantity of hay produced (HPRODt) could be explained by the hay market structure. First, some livestock farmers may produce large amounts of hay for their own livestock, much of which is not sold on the market. These farmers may be able to produce hay at a lower cost than market price, or they may be willing to forgo the potential cost savings from buying hay from an off-farm source to avert the risk of feed shortages for their cattle. Additionally, unlike the market for corn or cattle, the hay market is much less organized and structured. Farmers producing hay for the cash market have no nearby and convenient grain elevator or auction market at which to sell their product. Weak response to changes in hay quantity and price suggests that hay farmers may not be driven solely by the profit motive. Instead, other motives may also enter into their objective functions as utility maximizers.acreage response, derived demand, elasticities, hay, inverse demand function, price flexibilities, yield response, Crop Production/Industries, Demand and Price Analysis, D,

    Data for: Mapping Non-Native Pitch Contours to Meaning: Perceptual and Experiential Factors

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    Data for manuscript Mapping Non-Native Pitch Contours to Meaning: Perceptual and Experiential FactorsExperiment: 1, 1B, 2, 2BCondition: L=level, D=dipping, R=rising, F=fallingObject: set 1 or 2; N/A = checkboardOrder: S=Same, W=SwitchPlease contact Jessica Hay at [email protected] with any questions about the dataset

    par les ordres De M. De Ferriol et gravees en 1712 et 1713 par les soins de M. Le Hay

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    Sultan nezdinde büyükelçi bay D. Ferriol'un emirleri üzerine 1707 ve 1708 tarihlerinde orjinal olarak yapılan tablolardan sayın le Haye tarafından 1712-1713 tarihlerinde kopya edilen çeşitli Şark milletlerini temsil eden 100 adet basma resim külliyatı.Nadir eserdir

    SEQUENTIAL STOCHASTIC PRODUCTION DECISIONS FOR A PERENNIAL CROP: THE YIELD/QUALITY TRADEOFF FOR ALFALFA HAY

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    The "optimal cutting schedule" for alfalfa hay is described as a function of the trade-off between rising yield and falling quality of alfalfa over time and the local market prices being offered for different qualities of hay during the harvest season. Field test results quantify the yield/quality tradeoff for a California case study. A general decision rule is then derived to assist growers in making cutting decisions during a season. Finally, the optimal cutting schedule is shown to be the sum of sequential decisions for cuttings throughout the harvest season, with no schedule being best a priori.Crop Production/Industries,

    Body weight and statistic vital of Texel sheep in Wonosobo District by giving the ramie hay as an additional woof

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    Abstract. Kuntjoro A, Sutarno, Astirin OP. 2009. Body weight and statistic vital of Texel sheep in Wonosobo District by giving the ramie hay as an additional woof. Nusantara Bioscience 1: 23-30. This research is aimed to observe the body weight and statistic vital measurement of 50 Texel sheep. Sheep are classified into five treatments of giving woof P0 (giving tree greenish woof without concentrate), P1 (giving greenish woof and concentrate without adding the ramie hay/0%) concentrate), P2 (giving greenish woof and concentrate by adding 10%) ramie hay), P3 (giving greenish woof and concentrate by adding 20%) ramie hay), P4 (giving greenish woof and concentrate by adding 30%) ramie hay), every treatment was repeated 10 times. The result shows that even it can’t yet replace the concentrate function, but adding ramie hay as much as 10%), 20%) and 30%) on sheep woof can increase the body weight’s growth respectively 186.67 g/day, 153.34 g/day dan 103.34 g/day. The addition of ramie hay 10%), 20%) and 30%) can increase the addition of statistic vital’s measurement on breast of sheep livestock 1.20 cm); 0.95 cm) and 0.90 cm); the addition of statistic vital measurement on the body length of sheep livestock 0.05 cm); 1.00 cm) and 0.75 cm) and also the addition of breast width is 1.50 cm); 0.15 cm) and 0.3 cm). Meanwhile the addition of ramie hay on livestock woof can only increase the addition of statistic vital mesurement on breast at giving 30%) as big as 0.15 cm). It is needed to know further on giving ramie hay by concentration comparasion of hay of different leaf and stem

    The Impact of Biofuel Mandates and Switchgrass Production on Hay Markets

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    The Renewable Fuel Standard mandate in the Energy Independence and Security Act of 2007 requires 16 billion gallons out of 36 billion gallons of ethanol be produced from cellulosic feedstocks in 2022, but the mandate was apparently enacted without critical assessments of the agricultural impacts of attempting to achieve energy independence. The feedstock production will likely compete with lands currently used for producing other traditional crops of which hay is likely to be affected the most since it has comparatively lower net returns. Thus ruminant production will consequently be affected greatly. This study uses ordinary least squares (OLS) to estimate and predict Oklahoma hay price which is used as objective value in linear programming (LP) model that determines the profitability options between hay and switchgrass production. The OLS results show that Oklahoma hay price is fairly stable, and hay is shipped across adjoining states. The LP results show that switchgrass production would be more profitable than hay and that switchgrass for biofuel production likely will bid land away from hay if biofuel production becomes fully operational.biofuel mandates, switchgrass production, hay production, hay markets., Agricultural and Food Policy, Environmental Economics and Policy, Production Economics, Research and Development/Tech Change/Emerging Technologies, Resource /Energy Economics and Policy,

    Production of Hay milk

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    The investigation carried out in this thesis is based on data collected on three organic dairy farms in southern Jutland in Denmark. Two of these farms supplied feedstuff analyses of their hay, and one additional farmer besides these three took part in an interview on their use of hay feeding and production of haymilk. The sale of dairy products made of haymilk has increased substantially in Austria over the past few years to 4,200 tons of cheese sold in 2011. Haymilk based dairy products are currently being sold in Germany and the interest is increasing in Switzerland. 83 tons of haymilk based cheeses were sold in Denmark in 2011, and there appears to be a market potential haymilk based dairy products in Denmark. The main objective of this thesis was to improve the decision basis for farmers considering switching from silage feeding to hay feeding of their lactating dairy cows. A semi-structured group interview with four haymilk producing farmers showed that they had been inspired by other farmers abroad, who produce haymilk, and motivated by a belief in hay being healthier for their cows as well as the ability to obtain a premium for their milk. The interview furthermore showed that their workload was increased in summer and decreased in winter, although the overall workload was more enjoyable now. No clear effect of conservation method on chemical composition of hays and silages were found, although a trend for lower CP and higher NDF content per kg of DM were seen in hay compared with silage. Structural properties measured with peNDF and CT was found to be more related to TCL and season, which was indicated by cutting number, than used conservation method. The analysis of lactation curves, which was based on data obtained from three of the haymilk producing farmers, showed that DH cows in parity one and parity three or greater had achieved a higher persistency by switching to hay feeding, albeit their peak yields were reduced with 1.1 and 0.4 kg ECM per day respectively. No difference was found for DH cows in parity two and Jersey cows in parity one and parity two, but Jersey cows in parity three or greater had their peak yield reduced by 1.1 kg ECM per day. Fat and protein percentage increased for DH cows in parity one and parity three or greater. Protein percentage furthermore increased for Jersey cows in parity one whereas no difference was found for the other groups of cows. The feeding software NorFor predicted hay fed cows to have a lower DMI and ECM production per day when compared with silage fed cows. This clear effect could not be confirmed in the literature as both an increasing and decreasing as well as an unchanged effect was seen. The somatic cell count was decreased for all groups of cows by switching to hay feeding except for DH cows in parity three or greater, which increased, and DH cows in parity one where no difference was found. The cost of producing one FU of hay was estimated to be 0.70 kroner larger compared with silage (2.77 versus 2.07 kroner per FU). This resulted in a difference in feed cost between 0.19 and 0.56 kroner per kg ECM depending on the ration and the assumed effect of switching to hay feeding on DMI and daily ECM production. The simulated difference between hay and silage feeding was between a loss of 0.01 and a gain of 0.04 kroner per kg ECM across six scenarios tested on seven different types of herds or between -161 and 450 kroner per annual cow

    Hay Loader

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    4 x 6 photograph, two hay loaders standing on end in a fieldH2010-041 Vanishing Early Scenes Vernell Johnson Coll. Churches, Old County Farms, Houses, Vanishing Country Scene Box 1 5607A[stamp] No. 24A 061 [photographer stamp] Photo By: Vernell Johnson, Lyons, S. D. 2 Old-Hay Loaders Eastern, S. D

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank

    Circularschreiben des Herrn Bischofes von Hay, an die ihm untergeordneten Prediger ueber die Toleranz, oder Duldung der Lutheraner, Reformirten und andern Religionsverwandten.

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    CIRCULARSCHREIBEN DES HERRN BISCHOFES VON HAY, AN DIE IHM UNTERGEORDNETEN PREDIGER UEBER DIE TOLERANZ, ODER DULDUNG DER LUTHERANER, REFORMIRTEN UND ANDERN RELIGIONSVERWANDTEN. Circularschreiben des Herrn Bischofes von Hay, an die ihm untergeordneten Prediger ueber die Toleranz, oder Duldung der Lutheraner, Reformirten und andern Religionsverwandten. (2) Titelseite (2) Circularschreiben d. Herrn Bischofes von Hay ... über die Toleranz (3
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