Abstract
The objective of this research was to determine the deterioration rate of BRS 208 and CD 104 wheat cultivar seeds, treated with fungicides, by applying the viability equation. Seeds were stored in conventional warehouses in Maua da Serra and Londrina, in the State of Parana, Brazil. Four seed lots were divided into four replications, half being treated with Carboxin + Thiran and the other half taken as controls, without treatment, and these were stored for 300 days. The germination data were transformed into probit, and a straight line was adjusted between 0 and 30 days. The treated seed lot of cv. BRS 208 stored in Londrina gave seed deterioration rates varying from 0.8.10-3 to 1.3.10-3, not differing from the values given for the similar lot stored in Maua da Serra, of 0.9.10-3. The deterioration rates of the treated seed of cv. CD 104 were 1.2.10-3 in Maua da Serra and 2.0.10-3 in Londrina, which are greater than those values given for untreated seeds of 0.4.10-3 and 0.5.10-3. This model provides an effective approach to predict the untreated and treated seed longevity of wheat for the purpose of managing seeds
Highlights
There are many circumstances in which it is important to predict seed longevity as affected by environmental factors
Equations for predicting seed longevity under storage have been improved so that they take into account variations within species and the quantitative relationships between seed longevity and initial quality, seed moisture content and storage temperature (ANDREOLI, 2004; ELLIS; ROBERTS, 1980; ROBERTS, 1960, 1972, 1986)
Mathematical models have been developed to predict seed quality during storage and to determine the seed deterioration rates of many species (ELLIS, 1988; ELLIS; ROBERTS, 1980, 1981; ELLIS et al, 1990; FABRIZIUS et al, 1999; ROBERTS, 1960, 1961, 1973; TANG et al, 1999, 2000; TEKRONY et al, 1993). These models are relatively accurate in constant environments.A fast, simple and precise prediction of seed viability under open warehouse conditions would be of great value to seed producers (ANDREOLI, 2004), including wheat seed producers and growers
Summary
There are many circumstances in which it is important to predict seed longevity as affected by environmental factors. For this reason, mathematical models have been developed to predict seed quality during storage and to determine the seed deterioration rates of many species (ELLIS, 1988; ELLIS; ROBERTS, 1980, 1981; ELLIS et al, 1990; FABRIZIUS et al, 1999; ROBERTS, 1960, 1961, 1973; TANG et al, 1999, 2000; TEKRONY et al, 1993). Mathematical models have been developed to predict seed quality during storage and to determine the seed deterioration rates of many species (ELLIS, 1988; ELLIS; ROBERTS, 1980, 1981; ELLIS et al, 1990; FABRIZIUS et al, 1999; ROBERTS, 1960, 1961, 1973; TANG et al, 1999, 2000; TEKRONY et al, 1993) These models are relatively accurate in constant environments (i.e., constant seed moisture and temperature).A fast, simple and precise prediction of seed viability under open warehouse conditions would be of great value to seed producers (ANDREOLI, 2004), including wheat seed producers and growers
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