The optimal production of strawberries requires the essential nutrients and favourable media for vegetative and reproductive growth. The present study sought to determine the effectiveness of growth parameters and fru...
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The optimal production of strawberries requires the essential nutrients and favourable media for vegetative and reproductive growth. The present study sought to determine the effectiveness of growth parameters and fruit yield of strawberries in different media growing under a greenhouse. To analyze the significant effect for the growth and fruit yield among the growing media, four treatments such as control soil (CS), bio plus compost (T-1), the combination of bio plus compost, and synthetic nutrient applied media/integrated media (T-2) and synthetic nutrient applied soil media (T-3) were assayed. Morphology parameters like plant height, canopy area, fresh weight, dry weight of roots were measured in each stage after eight weeks and sixteen weeks and yield attributing parameter as the number of fruits set per plant and number of fruits per plant were measured at the beginning and end of the reproductive stage eight and sixteen weeks respectively. The effects of growing media for the strawberry plant growth and productivity were analyzed using completely randomized block designs through analyzing the variance with a significance level of p < 0.05. The canopy area of the strawberry plants was calculated using the image processing technique applied in HSV colour space. Correspondingly, the vegetative stage and reproductive stage of T-2 plants attained the maximum plant height of 16.93 +/- 0.31 cm and 19.34 +/- 0.21 cm, canopy area with 23.02 +/- 1.94 cm(2) and 28.78 +/- 0.93 cm(2), fresh weight of 18.00 +/- 3.06 g, and 20.15 +/- 3.49 g, dry weight of 5.15 +/- 1.26 g and 6.66 +/- 2.34 g and the number of fruits set per plant 18.83 +/- 2.64 and number of fruits per plant 24.17 +/- 2.14 followed by T-1, T-3, and CS respectively. A comparison of the relative growth and fruit yield at the vegetative and reproductive phases of plants T-2 implied better performance. This study demonstrated that bio plus compost with synthetic nutrients act as a better source for the growth an
*** The Brownian motion of the suspended particles is a very important physical phenome-non. At the beginning of this century, Einstein investigated it on the basis of thermal motionof molecules. For a spherical parti...
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*** The Brownian motion of the suspended particles is a very important physical phenome-non. At the beginning of this century, Einstein investigated it on the basis of thermal motionof molecules. For a spherical particle with the radius a, if one measures the displacementcomponent x of the particle along a chosen direction for every time interval τ, then underthe thermodynamical equilibrium conditions one can find
Background: Gene microarray technology provides the ability to study the regulation of thousands of genes simultaneously, but its potential is limited without an estimate of the statistical significance of the observe...
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Background: Gene microarray technology provides the ability to study the regulation of thousands of genes simultaneously, but its potential is limited without an estimate of the statistical significance of the observed changes in gene expression. Due to the large number of genes being tested and the comparatively small number of array replicates (e.g., N = 3), standard statistical methods such as the Student's t-test fail to produce reliable results. Two other statistical approaches commonly used to improve significance estimates are a penalized t-test and a Z-test using intensity-dependent variance estimates. Results: The performance of these approaches is compared using a dataset of 23 replicates, and a new implementation of the Z-test is introduced that pools together variance estimates of genes with similar minimum intensity. Significance estimates based on 3 replicate arrays are calculated using each statistical technique, and their accuracy is evaluated by comparing them to a reliable estimate based on the remaining 20 replicates. The reproducibility of each test statistic is evaluated by applying it to multiple, independent sets of 3 replicate arrays. Two implementations of a Z-test using intensity-dependent variance produce more reproducible results than two implementations of a penalized t-test. Furthermore, the minimum intensity-based Z-statistic demonstrates higher accuracy and higher or equal precision than all other statistical techniques tested. Conclusion: An intensity-based variance estimation technique provides one simple, effective approach that can improve p-value estimates for differentially regulated genes derived from replicated microarray datasets. Implementations of the Z-test algorithms are available at http:// ***/software/papers/bmcg2004.
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