过度分散发芽计数实验的极端变异性模型

IF 1.7 4区 农林科学 Q2 Agricultural and Biological Sciences
G. Ser
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引用次数: 0

摘要

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Extreme variability modelling of overdispersed germination count experiments
Germination tests are carried out for a wide variety of purposes in weed control. The variability in seed germination counts raises the overdispersion problem. The objective of this study is to compare different approaches used in solving overdispersion and to offer practical solutions to researchers. The data sets were created from seed germination counts, which examined the allelopathic effect of white cabbage ( Brassica oleracea L. var. capitata L.) on the germination of some culture and weed seeds. Methanol and aqueous concentrations (30%, 40%, 50%) of dry and fresh white cabbage were used. Assuming the Poisson distribution in the generalized linear mixed model, overdispersion problem was determined in redroot pigweed ( Amaranthus retroflexus L.), lamb’s quarters ( Chenopodium album L.) and sugar beet ( Beta vulgaris L.) Equidispersion was determined in corn ( Zea mays L.) and it was perfectly adapted to the Poisson distribution. In order to overcome the overdispersion problem, generalized Poisson distribution outperformed negative binomial distribution. The increase concentration in the generalized Poisson in weeds, fresh cabbage methanol and aqueous applications were very effective reducing germination (p < 0.05). The best results in weed seeds were obtained at 50%. Unlike weeds, 30% concentration of dry cabbage methanol and aqueous were considered as the upper limit in order not to adversely affect germination in Z. mays and B. vulgaris. Consequently, in germination tests, the problem of overdispersion is inevitable as a result of excessive variability. For germination count data, generalized Poisson distribution is viable option and powerful alternative to accurately describe mean-variance relationship
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来源期刊
CiteScore
3.00
自引率
11.80%
发文量
60
审稿时长
6 months
期刊介绍: ChileanJAR publishes original Research Articles, Scientific Notes and Reviews of agriculture, multidisciplinary and agronomy: plant production, plant protection, genetic resources and biotechnology, water management, soil sciences, environment, agricultural economics, and animal production (focused in ruminant feeding). The editorial process is a double-blind peer reviewing, Editorial Office checks format, composition, and completeness, which is a requirement to continue the editorial process. Editorial Committee and Reviewers evaluate relevance and scientific merit of manuscript.
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