COST, INPUT AND MARKET SURVEY RESULTS OF THE TEXAS FOOD PROCESSING INDUSTRY

State governments are concerned with economic development because the condition of their well being determines residents' standard of living. Therefore, state governments are interested in strategies for strengthening their economies. States with substantial agricultural production can implement a strategy of maintaining or increasing markets for that production, positively affecting all of the aforementioned measures. In some states, the focus has been to "add value" to raw agricultural commodities. Texas's food processing industry is the focus of this research. A survey was conducted to determine the cost components of Texas food processors, the percent of purchases from Texas, and reasons for these purchases. This article summarizes the results of this survey.Agribusiness,

Opportunities for Enhancing the Texas Food-Processing Industry.

36 p

Opportunities for enhancing the Texas food processing industry

Typescript (photocopy).State governments are concerned with their economies since the condition of an economy determines residents' standard of living. Therefore, state governments are interested in strategies for strengthening their economies. Measures of strength include output, income, and employment. States with substantial agricultural production can implement a strategy of maintaining or increasing markets for that production, positively affecting all of the aforementioned measures. In some states, the focus has been to "add value" to raw agricultural commodities. The objective of this dissertation is to aid government funding decisions regarding competing value-added opportunities in various food processing industries. Texas' food processing industry is the focus of this research. Data from the two most recent Census of Manufactures were analyzed for trends in the Texas food processing industry. A survey was conducted to determine the cost components of Texas food processors, the percent of purchases from Texas, and reasons for these purchases. The McMenamin-Haring procedure was used to update the Texas Input-Output Model to investigate output, income, and employment impacts of increased processing of agricultural commodities. Agricultural processing sectors' primary output markets are households and export markets, while agricultural production sectors' primary output markets are export and domestic food processing sectors. The processing sectors' primary input markets are final demand and nonfood manufacturing sectors, whereas the production sectors' primary input markets are agricultural production, household, and imports sectors. The model cannot detect if exports go to "foreign" final demand or processing sectors. Multipliers and elasticities were gleaned from the input-output analysis. Food processing industries with the highest elasticities are the meat, dairy, grain, and beverage industries. The input output results were combined with information about food processing industry trends obtained from secondary sources and from the survey. As a result, potential benefits associated with the gain or loss of selected Texas food processing plants were identified

Opportunities for enhancing the Texas food processing industry

Typescript (photocopy).State governments are concerned with their economies since the condition of an economy determines residents' standard of living. Therefore, state governments are interested in strategies for strengthening their economies. Measures of strength include output, income, and employment. States with substantial agricultural production can implement a strategy of maintaining or increasing markets for that production, positively affecting all of the aforementioned measures. In some states, the focus has been to "add value" to raw agricultural commodities. The objective of this dissertation is to aid government funding decisions regarding competing value-added opportunities in various food processing industries. Texas' food processing industry is the focus of this research. Data from the two most recent Census of Manufactures were analyzed for trends in the Texas food processing industry. A survey was conducted to determine the cost components of Texas food processors, the percent of purchases from Texas, and reasons for these purchases. The McMenamin-Haring procedure was used to update the Texas Input-Output Model to investigate output, income, and employment impacts of increased processing of agricultural commodities. Agricultural processing sectors' primary output markets are households and export markets, while agricultural production sectors' primary output markets are export and domestic food processing sectors. The processing sectors' primary input markets are final demand and nonfood manufacturing sectors, whereas the production sectors' primary input markets are agricultural production, household, and imports sectors. The model cannot detect if exports go to "foreign" final demand or processing sectors. Multipliers and elasticities were gleaned from the input-output analysis. Food processing industries with the highest elasticities are the meat, dairy, grain, and beverage industries. The input output results were combined with information about food processing industry trends obtained from secondary sources and from the survey. As a result, potential benefits associated with the gain or loss of selected Texas food processing plants were identified

COST, INPUT AND MARKET SURVEY RESULTS OF THE TEXAS FOOD PROCESSING INDUSTRY

State governments are concerned with economic development because the condition of their well being determines residents' standard of living. Therefore, state governments are interested in strategies for strengthening their economies. States with substantial agricultural production can implement a strategy of maintaining or increasing markets for that production, positively affecting all of the aforementioned measures. In some states, the focus has been to "add value" to raw agricultural commodities. Texas's food processing industry is the focus of this research. A survey was conducted to determine the cost components of Texas food processors, the percent of purchases from Texas, and reasons for these purchases. This article summarizes the results of this survey

Osmosensation in TRPV2 dominant negative expressing skeletal muscle fibres.

Increased plasma osmolarity induces intracellular water depletion and cell shrinkage followed by activation of a regulatory volume increase (RVI). In skeletal muscle, this is accompanied by transverse tubule (TT) dilation and by a membrane depolarisation responsible of a release of Ca(2+) from intracellular pools. We observed that both hyperosmotic shock-induced Ca(2+) transients and RVI were inhibited by Gd(3+) , ruthenium red and GsMTx4 toxin, three inhibitors of mechanosensitive ion channels. The response was also completely absent in muscle fibres overexpressing a non permeant, dominant negative mutant of TRPV2 ion channel (TRPV2-DN), suggesting the involvement of TRPV2 (Transient Receptor Potential, V2 isoform) or of a TRP isoform susceptible to heterotetramerize with TRPV2. The release of Ca(2+) induced by hyperosmotic shock was increased by cannabidiol, an activator of TRPV2 and decreased by tranilast, an inhibitor of TRPV2, suggesting a role for TRPV2 channel itself. Hyperosmotic shock-induced membrane depolarization was impaired in TRPV2-DN fibres, suggesting that TRPV2 activation triggers the release of Ca(2+) from the sarcoplasmic reticulum by depolarizing TT. RVI requires the sequential activation of SPAK (STE20/SPS1-related proline/alanine-rich kinase) and NKCC1, a Na(+) , K(+) and Cl(-) cotransporter allowing ions entry and osmotic water driving. In fibres overexpressing TRPV2-DN as well as in fibres in which Ca(2+) transients were abolished by the Ca(2+) chelator BAPTA, the level of P-SPAK(Ser373) in response to hyperosmotic shock was reduced, suggesting a modulation of SPAK phosphorylation by intracellular Ca(2+) . We conclude that TRPV2 is involved in osmosensation in skeletal muscle fibres, acting in concert with P-SPAK-activated NKCC1. This article is protected by copyright. All rights reserved