|Title:||水稻農藝性狀取樣方法之研究1.期作間之比較||Other Titles:||Studies on Sampling Method of Rice Agronornic Characters. I. Comparison between Crops||Authors:||劉清
|Issue Date:||Dec-1984||Publisher:||農業試驗所||Related Publication(s):||稻作區域性與期作性低產及增產措施之研究||Start page/Pages:||209-215||Source:||農業試驗所特刊第16號||Abstract:||
This paper investigated the appropriate sampling unit and sample size, under plot sampling, for various agronomic characters of rice. Using Tainung 67 as experimental variety, 12 agronomic characters including grain weight and yield components were measured for the second crop of 1981 and for the first crop of 1982. Analyses performed were (1) variability comparison among and within the sampling units, (2) effects of the size of sampling unit, (3)effects of the smple size and (4) the relationship between yield components and the weight of filled grains.
Data revealed that variation within individual sampling units was always larger than that among different sampling units. Furthermore, the difference between sampling units ware also highly significant for both crops and all measured characters, indicating that some sort of variation existed among plants within the same plot. Excepting yield, 4 adjacent hills (2-hill×2-hill) should be counted as a sampling unit for the first crop, and either 4 adjacent hills (2-hill×2-hill) or 6 adjacent hills (2-hill×3-hill) should be used for the second crop. A sample size of 3 sampling unit for the first crop and 4 sampling units for the second crop are considered appropriate. The selection of sampling units should be random whenever possible in order to cancel out any potential bias associated with the experimental results.
The weight of filled grains correlated closely with the number of panicles per hill (0.74 for the first and 0.81 for the second crop). However, there was very little correlation with such “derived” yield components as the number of spikelets per panicle, % of filled grains, and the 1000-grain weight. Therefore, the product total of the four yield components, rather than any derived one should be used as an index in making selections or predicting yield.
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