Volume of sampling at estimation of quantitative indicators of filbert fruit quality

Filbert (Corylus avellana L.) is a valuable edible nut-plant. For its plantation cultivation highly productive forms and varieties are used. Breeding valuable populations ensures obtaining food products, preservation of biodiversity and continuation of the micro evolutionary process of the specie. In these cases, it is important to evaluate the initial material for quantitative economically valuable indicators- mass of nuts and kernels, yield of the kernel, one-dimensionality of fruits in shape and size, and total score of the variety fund. Depending on the purpose, the assessment is carried out with a different error and significance level. This is related to the sampling volume of the samples studied. Estimation of quantitative indices of filbert fruit was carried out according to the author's method. 578 fetuses were randomly selected in the population. 30 fruits were studied in 8 plants. The sample size for estimating the “nut mass” in the population and in individual individuals with an error of 0.1 g (α = 0.05) is 64 and 29 fruits respectively. To estimate the “kernel mass" index the sample size with an error of 0.05 g and α = 0.05 in individuals is 7, in the population - 15 nuts and more. The sample size required to estimate the “core yield” with an error of 1% (α = 0.05) is based on an analysis of 275 nuts. At least 64 nuts are studied in different ramets. The one-dimensionality of fruits in form with an error of 5% (α = 0.05) is determined in the population on the basis of the analysis of 18 nuts, and in individuals of 12 nuts and more. The one-dimensionality of fruits in size with the same error is estimated in the population at 45, in individuals - at 22 nuts. The total score of the quality of filbert fruits in a population with an error of 1 point is established not less than 57 fruits. In individuals in this case, 30 nuts are selected. The sample size for all indicators is much smaller at reconnaissance surveys with an error of 10% or more (α = 0.1).

filbert, fruits, quantitative indicators, experimental error, level of significance, sample size

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