evaluation of nonlinear regression models to quantify barley germination rate response to temperature and water potential

Authors

نفیسه خلیلی

دانشگاه علوم کشاورزی و منابع طبیعی گرگان افشین سلطانی

ابراهیم زینلی

دانشگاه علوم کشاورزی و منابع طبیعی فرشید قادری فر

دانشگاه علوم کشاورزی و منابع طبیعی گرگان

abstract

0

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

using nonlinear regression models to quantify germination response of annual savory to temperature and water potential

this study was conducted to quantify germination response of annual savory (satureja hortensis l.) to temperature and water potential. for this purpose, seeds were exposed to different temperature (12, 15, 20, 25, 30, 35, 37 and 40°c) and water potential (zero, -0.1, -0.3, -0.5 and -0.7 mpa) treatments in seed research lab., gorgan university of agricultural sciences and natural resources in 20...

full text

quantify wheat germination rate response to temperature and water potential

it is very important to find the best model to quantify seed germination rate on the response of temperature which it can be used in determination of cardinal temperatures. this study was conducted to evaluation nonlinear regressions models for description wheat (cv. morvarid) germination rate response to temperatures and water potentials. therefore, seeds germination rate were evaluated in tem...

full text

quantifying of germination rate response to temperature of three sunflower varieties using nonlinear regression models

background and objectives: germination and seedling establishment are two critical and important stages during plants growing season. from seed technology viewpoint, germination refers to emergence and development from seed embryo, so that could produce normal seedling. many studies  have been done to determine germination cardinal temperatures and required thermal time for emergence occurrence...

full text

Comparison of time to the event and nonlinear regression models in the analysis of germination data

Extended abstract   Introduction: Numerous studies are being carried out to reveal the effects of different treatments on the germination of seeds from various plants. The most commonly used method of analysis is the nonlinear regression which estimates germination parameters. Although the nonlinear regression has been performed based on different models, some serious problems in its structure...

full text

Predicting germination response to temperature. I. Cardinal-temperature models and subpopulation-specific regression.

BACKGROUND AND AIMS The purpose of this study was to compare the relative accuracy of different thermal-germination models in predicting germination-time under constant-temperature conditions. Of specific interest was the assessment of shape assumptions associated with the cardinal-temperature germination model and probit distribution often used to distribute thermal coefficients among seed sub...

full text

My Resources

Save resource for easier access later


Journal title:
تولید گیاهان زراعی

جلد ۷، شماره ۴، صفحات ۴۰-۲۳

Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023