نتایج جستجو برای: identification and selection

تعداد نتایج: 16940729  

For QTL mapping of related salt tolerance QTLs and determining the contribution of each QTL to phenotypic variation, a population consisting of 96 F2:3 families derived from the cross Kharchia (parent tolerant) and Gaspard (susceptible parent) were evaluated during 2 years. Of the 92 microsatellite markers used to evaluate parents, 32 markers were polymorphic which were used for analysis. Three...

ژورنال: علوم آب و خاک 2001
خواجه پور, محمد رضا, رضایی, عبد المجید , سلطانی, افشین ,

Identification of easily measured physiological traits contributing to yield under specified environmental conditions would benefit genotypic selection for grain sorghum. A field experiment was conducted to determine broad-sense heritability and expected genetic advance, and to examine the relationships of grain yield with 11 physiological traits related to developmental periods, vegetative gro...

ژورنال: علوم زراعی ایران 2022

Drought stress is one of the most limiting abiotic stresses affecting growth, production and survival of plants in many areas of the world, and is expected to intensify considering the trend of climate change. Grass species are important for the sustainability of agricultural systems, forage resources for animal farming and landscapes. Grass species adapt to water deficit by different morpholog...

Journal: :journal of advances in computer research 2015
maziar kazemi muhammad yousefnezhad saber nourian

classification ensemble, which uses the weighed polling of outputs, is the art of combining a set of basic classifiers for generating high-performance, robust and more stable results. this study aims to improve the results of identifying the persian handwritten letters using error correcting output coding (ecoc) ensemble method. furthermore, the feature selection is used to reduce the costs of ...

2016
Sandro Saitta Prakash Kripakaran Benny Raphael Ian F.C. Smith

System identification using multiple-model strategies may involve thousands of models with several parameters. However, only a few models are close to the correct model. A key task involves finding which parameters are important for explaining candidate models. The application of feature selection to system identification is studied in this paper. A new feature selection algorithm is proposed. ...

Domestication and selection are processes that conserve the pattern of genetic diversities between and within populations. Identification of genomic regions that are targets of selection for phenotypic traits is one of the main aims of research in animal genetics. An approach for identifying divergently selected regions of the genome is to compare FST values among loci to estimate the genetic v...

خواجه پور, محمد رضا, رضایی, عبد المجید , سلطانی, افشین ,

Identification of easily measured physiological traits contributing to yield under specified environmental conditions would benefit genotypic selection for grain sorghum. A field experiment was conducted to determine broad-sense heritability and expected genetic advance, and to examine the relationships of grain yield with 11 physiological traits related to developmental periods, vegetative gro...

2012
Nabajit Das

A number of web tools are available for the prediction and identification of target microRNAs (miRNAs). The choice, availability, validity and selection of an optimal yet appropriate tool are a challenge for the design of high throughput assays with promising miRNA targets. The current trends and challenges for target microRNAs (miRNAs) prediction, identification and selection is described in t...

2001
Rami Bahsoon Nashat Mansour

In corrective maintenance, selective regression testing includes test selection from previously run test suite and test coverage identification. We propose three reductionbased regression test selection methods and two coverage McCabe-based identification metrics. We empirically compare these methods with other three reduction and precision-oriented methods using 60 test-problems. The compariso...

2015
Xiaohui Chen Wenzhou Yan Kang Liu

In view of the bad convergence performance and low precision of standard artificial fish swarm algorithm in the water quality properties identification, this paper put forward an improved identification model based on adaptive parameters optimization. Firstly, it optimized the immune cloning and selection algorithm (ICSA) in periodic mutation operator and selection operator. Then it introduced ...

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