用SIGMOIDAL模型分析土耳其燕麦品种的生长规律

IF 1 4区 农林科学 Q3 AGRONOMY
O. Hocaoğlu
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引用次数: 0

摘要

在过去的几十年里,随着许多新品种的引入,燕麦越来越受欢迎。本研究的目的是使用S形生长模型来表征Kahraman、Küçükyayla、Yeniçeri、Sebat、Otağı和Diriliş燕麦品种的生长和发育。生长数据包括每周对干重和生长阶段的观察,连续两年进行三次采样。结果表明,生长季节是干物质积累的决定因素,直到茎伸长阶段,因为基因型差异仅在后期才变得明显。Sigmoid生长模型成功地拟合了生长数据,并允许进行进一步的评估。拟合良好性统计表明,Logistic、Logistic Power和Ratkowsky模型是解释燕麦品种干物质积累的最佳拟合生长模型。分析还表明,Otağı、Yeniçeri和Sebat品种的干物质积累量最高。Logistic模型的拐点表明,Küçükyayla和Kahraman是马尔马拉地区最早的品种。通过使用生长模型对品种进行比较被证明在理解基因型变异方面是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSING GROWTH PATTERNS OF SELECTED TURKISH OAT CULTIVARS USING SIGMOIDAL MODELS
Increasing popularity of oat were accompanied with the introductions of many new cultivars for the last few decades. Aim of this study were to characterize the growth and developments of Kahraman, Küçükyayla, Yeniçeri, Sebat, Otağı and Diriliş oat cultivars using sigmoidal growth models. Growth data comprised of weekly observations of dry weights and growth stages with three samplings for two consecutive years. Results indicated that the growing season were the determining factor for the dry matter accumulation until the stem elongation stage since genotype differences became apparent only in the later stages. Sigmoidal growth models successfully fitted to the growth data and allowed for further evaluations. Goodness of fit statistics implied that Logistic, Logistic Power and Ratkowsky models were the best fitting growth models to explain dry matter accumulations of oat cultivars. Analysis also showed that Otağı, Yeniçeri and Sebat cultivars reached the highest dry matter accumulations. Point of inflections on the Logistic models indicated that Küçükyayla and Kahraman were the earliest cultivars in the Marmara region. Comparison of cultivars by using the growth models proved to be informative in terms of understanding the genotypic variation.
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来源期刊
CiteScore
1.50
自引率
12.50%
发文量
21
审稿时长
>12 weeks
期刊介绍: Information not localized
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