Predict the quality and yield of sweet corn by the new crop model
We like fresh sweet corn, canned and frozen. According to a recent study by the American Gardening Science Association, every state grows sweet corn and contributes to an additional US $ 807 million a year in the US industry. Say c & a
We like fresh sweet corn, canned and frozen. According to a recent study by the American Gardening Science Association, every state grows sweet corn and contributes to an additional US $ 807 million a year in the US industry. In other words, sweet corn is a huge business.
In June, the market for fresh sweet corn in the US reached its peak, with 10% of the annual quantity sold in the market in the last months of the year. Fresh sweet corn is susceptible to damage due to a rapid decrease in corn sugar, discoloration and risk of infection. The complex combination of limited crop yields and the perishable nature of these fruits gave rise to the idea of finding reliable methods to predict the amount, quality and weight of these vegetables. sweet corn crop.
To help corn producers and the agricultural industry meet consumer demand for this sweet and nutritious vegetable and fruit, researchers have developed a new tool, or ' simulation model'. 'Ability to predict the quality and yield of sweet corn crops . These simulation models are already tools
Sweet corn.(Photo: Brockvillefarmersmarket.ca)
widely accepted and used in agricultural research, extension and planning. Models for corn fields have been around since the mid-80s, but there is no simulation model for sweet corn until early 2007.
Jon Lizaso and a team of researchers from the University of Florida and the University of Georgia have developed a new simulation model for more than 5 years. Lizaso explained that ' sweet corn market is based on the quality of fresh corn, which is different from the method of evaluating dry cereals used in the corn market for cattle. We have found that the addition of a corn simulation model is sufficient to accurately simulate the growth and production of fresh sweet corn. '
Lizaso argues that this newly developed research and simulation model is an important promise for sweet corn producers, technical consultants, extension agents and the agricultural industry, as well as the pluses. Larger gardening fellow. He noted that ' Corn simulation models now limit the potential for supporting sweet corn production due to the speciality of finished products on the market. Therefore, the new simulation model can improve the quality of sweet corn growth as well as predict the yield and quality of fresh corn '.
Thanh Tam
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