Estimation of phenological parameters in SSM-Wheat model for bread wheat (Triticum aestivum L.) genotypes in Golestan province of Iran
Authors
Abstract:
To estimate required parameters of phenology sub-model in SSM-Wheat model (cardinal temperatures, critical photoperiods and photoperiod sensitivity coefficient) and to determine of the biological day for eight bread wheat genotypes (Morvarid, Tajan, Kohdasht, Darya, Gonbad, Arta, N-87-20 and N-87-19) in Golestan province of Iran in 12 sowing dates, an experiment was carried out using randomized complete block design with four replications during 2012 and 2013 cropping cycles. Beta-quadratic model was used to explain the relation of stem elongation rate of the wheat genotypes in response to temperature and photoperiod. The bread wheat genotypes did not have significant differences in critical photoperiod and cardinal temperature. However, they were significantly differ for biological day and photoperiod sensitive coefficient. Therefore, cardinal temperatures including; base, optimum and ceiling temperatures were used in 0, 28 and 40 °C, respectively, for all of genotypes in the model. In addition, the critical photoperiod fixed on 21 hours in this model. Coefficient of sensitivity to photoperiod varied from0.00272 to 0.0091 for genotypes. The bread wheat genotypes did not show significant differences in terms of biological days (bd) in phenological stages including; sowing to emergence (6.2 bd), tillering to stem elongation (7.9 bd), booting to heading (3.4 bd), heading to anthesis (6.4 bd) and physiological maturity to harvest maturity (6.8 bd). However, significant differences observed in phenological stages emergence to tillering (6.5-8.8 bd), stem elongation to booting (4.7-5.9 bd) and anthesis to physiological maturity (21.1-24.8 bd) among genotypes. Model evaluation indicated that root mean square error for biological days to anthesis and days to physiological maturity was 7.7 (with coefficient of variation 10.3%) and 1.7 (with coefficient of variation 2.5%), respectively. Therefore, parameters of cardinal temperatures, critical photoperiods, photoperiod sensitivity coefficient and biological day were estimated reasonably for bread wheat genotypes of Golestan province.
similar resources
Diallel analysis of some important Morpho-Phenological traits in bread Wheat (Triticum aestivum L.) crosses
Wheat (Triticum aestivum L.) is the most important food crop. It offers a great wealth of material for genetic studies due to its wide ecological distribution. The effects of GCA and SCA of morpho-phenological traits i.e. days to emergence, days to flowering, days to maturity, flag leaf length, grain filling duration, spike weight per plant, stem weight and grain yield were studied uti...
full textInterpreting Genotype × Environment Interaction in Bread Wheat (Triticum aestivum L.) Genotypes Using Nonparametric Measures
The objectives of this study were to compare nonparametric stability measures, and to identify promising high-yield and stable bread wheat (Triticum aestivum L.) genotypes in 7 environments during 2003-2005 in the central Black Sea region of Turkey. The bread wheat genotypes (20 advanced lines and 5 cultivars) were grown in a randomized complete block design with 4 replications in 7 different e...
full textDifferential Physiological Responses of Portuguese Bread Wheat (Triticum aestivum L.) Genotypes under Aluminium Stress
The major limitation of cereal production in acidic soils is aluminium (Al) phytotoxicity which inhibits root growth. Recent evidence indicates that different genotypes within the same species have evolved different mechanisms to cope with this stress. With these facts in mind, root responses of two highly Al tolerant Portuguese bread wheat genotypes—Barbela 7/72/92 and Viloso mole—were investi...
full textDistribution of gluten proteins in bread wheat (Triticum aestivum) grain.
BACKGROUND AND AIMS Gluten proteins are the major storage protein fraction in the mature wheat grain. They are restricted to the starchy endosperm, which forms white flour on milling, and interact during grain development to form large polymers which form a continuous proteinaceous network when flour is mixed with water to give dough. This network confers viscosity and elasticity to the dough, ...
full textEVALUATION OF YIELD AND SEED REQUIREMENTS STABILITY OF BREAD WHEAT(Triticum aestivum L.) VIA AMMI MODEL
High quality seed of wheat is the key to successful agriculture. Improvement and evaluation of agronomic traits have been the primary objective of breeders for many years under variable environments. The objective of the present research was to determine influence of genotype, environment and their interaction on yield and randman of seed as a seed quality represent and to evaluate stability th...
full textPredictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model
Prediction of wheat phenology facilitates the selection of cultivars with specific adaptations to a particular environment. However, while QTL analysis for heading date can identify major genes controlling phenology, the results are limited to the environments and genotypes tested. Moreover, while ecophysiological models allow accurate predictions in new environments, they may require substanti...
full textMy Resources
Journal title
volume 21 issue 4
pages 302- 314
publication date 2020-02
By following a journal you will be notified via email when a new issue of this journal is published.
No Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023