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Quantitative Trait Loci Mapping for Rice Yield-Related Traits Using Chromosomal Segment Substitution Lines

Rice science 2019年第5期26卷 261-264页

作者： LI Zihe aamir riaz ZHANG Yingxin Galal Bakr ANIS ZHU Aike CAO Liyong CHENG Shihua Key Laboratory for Zhejiang Super Rice Research/National Center for Rice Improvement/China National Rice Research Institute Hangzhou 310006China Rice Research and Training Center/Agriculture Research Center Field Crops Research InstituteSakhaKafrelsheikh 33717 Egypt

Rice(Oryza sativa L.)is an important cereal crop,consumed as a staple by more than 50%of the global population(Gathala et al,2011).In Asian countries,the rice production increased to 695.5 million tones in the last years,and this increasing was caused by the main source of income and employment in these *** high-yielding hybrid rice is a potentially promising solution for addressing food shortages caused by marked increases in the global *** progress in DNA marker technology and the construction of linkage maps has enabled the detection of quantitative trait loci(QTLs)that regulate different agronomic traits applicable to breeding(Parida et al,2006;Zhang et al,2017).

关键词： breeding cereal linkage

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Association Mapping of Quantitative Trait Loci for Grain Size in Introgression Line Derived from Oryza rufipogon

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Rice science 2020年第3期27卷 246-254页

作者： Kashif HUSSAIN ZHANG Yingxing Workie ANLEY aamir riaz Adil ABBAS MdHasanuzzaman RANI WANG Hong SHEN Xihong CAO Liyong CHENG Shihua Key Laboratory for Zhejiang Super Rice Research&State Key Laboratory of Rice Biology China National Rice Research InstituteHangzhou 310006China Southern Rice Research Institute Thatta Agriculture Research WingGovernment of SindhSindh 73130Pakistan Department of Plant Sciences University of GondarP.O.Box 196Ethiopia Bangladesh Institute of Nuclear Agriculture Dhaka 2202Bangladesh

Grain size is one of the critical agronomic traits governing grain yield and quality in ***,the underlying genetic mechanisms that control grain size in rice are poorly *** used an introgression line derived from Zhonghui 8015 and Oryza rufipogon *** introgression line was evaluated under two different environmental conditions to dissect the quantitative trait loci controlling grain ***-wide association study(GWAS)was performed using 28193 SNPs through a general linear model,and 56 significant SNPs on different loci associated with the 4 grain size traits were *** genes including GS3 and q GL3 showed substantial effects on grain length and *** new stable loci were identified with pleiotropic effects on grain ***,gene expression analyses,combined gene-based associations,and functional annotations permitted the shortlisting of important dominant genes including GS3 and q GL3.

关键词： grain size association mapping Oryza sativa Oryza rufipogon quantitative trait locus genome-wide association analysis

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Development of Chromosome Segment Substitution Lines and Genetic Dissection of Grain Size Related Locus in Rice

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Rice science 2021年第4期28卷 322-324,I0012-I0017页

作者： aamir riaz Wang Huimin Zhang Zhenhua Workie Anley Zegeye Li Yanhui Wang Hong Xue Pao Peng Zequn Shen Xi hong Cheng Shihua Zhang Yingxin State Key Laboratory of Rice Biology/National Center for Rice Improvement China National Rice Research InstituteHangzhou 310006China Department of Plant Science University of GondarGondar 196Ethiopia

To investigate the genetic bases of grain weight(GW),a set of 76 chromosome segment substitution lines(CSSLs,BC4F5)were developed from the cross between Xieqingzao B(XQZB)and Zhonghui 9308(ZH9308)using a marker-assisted selection(MAS).All substituted segments represented by 120 markers in those lines covered 96.7%of the donor parent(ZH9308).Consequently,two QTLs(qTGW1 and qTGW6)for 1000-grain weight(TGW)were preliminarily mapped on chromosomes 1 and 6,*** line CSSL7 was selected for further mapping of qGL1.4/*** a result,qGL1.4 was validated and narrowed to a 1.4 Mb interval between markers InDel15 and RM11872 using secondary F2,and narrowed to a 500 kb in F2:3 populations between markers RM11824 and *** F4:5 secondary population,using homozygous recombinant strategy,qGL1.4 was finally fine-mapped to a 286.4 kb region between markers D-12 and *** addition,a near-isogenic line(NIL)harbouring qGL1.4 was developed using MAS approach,which showed enhanced grain length compared with ZH9308 without changing other *** summary,these results lay a foundation for the genetic isolation of qGL1.4 and molecular breeding in rice.

关键词： breeding narrow bases

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Optimizing Row Spacing to Ameliorate the Productivity of Spring Sugarcane (Saccharum officinarum L.)

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Agricultural Sciences 2016年第8期7卷 531-538页

作者： Sami Ullah Shakeel Ahmad Anjum Muhammad Mohsin Raza aamir riaz Adeel Abbas Malik Muhammad Yousif Jinchuan Ma Yingxia Liu Jiajia Zhang Dingwen Cheng Yaxin Xu Iftikhar Ali Department of Agronomy University of Agriculture Faisalabad Faisalabad Pakistan Ministry of Agricultural Key Laboratory of Crop Nutrition and Fertilization Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Beijing China Arid Zone Research Institute Pakistan Agriculture Research Council Bahawalpur Pakistan Weed Science Laboratory Institute of Plant Protection Chinese Academy of Agricultural Sciences Beijing China College of Resource and Environment Jilin Agricultural University Changchun China

One of the main reasons behind reduced cane yield is pathetic method of planting. Planting method and row spacing are the most important yield contributing factors in sugarcane. A field experiment was carried out in order to determine quality and yield of sugarcane in various spatial arrangements. Treatments are 180 cm spaced trenches with triple row strips;180 cm spaced trenches with alternate row strips;120 cm spaced trenches with double row strips and 60 cm spaced furrow with single row. Perusal of data revealed that 3.6%, 13.4%, 15%, 15.3% more cane diameter (cm), cane length (cm), stripped cane yield (t·haˉ1), sugar yield (t·haˉ1) were obtained from 180 cm spaced trenches with triple row strips as compared to conventional planting method i.e. 60 cm spaced furrows. While the number of millable canes mˉ2, polarity %, cane juice purity %, cane juice %, commercial cane sugar % and cane sugar recovery % remained non-significant by different planting techniques.

关键词： Furrow Planting Quality Row Spacing Sugarcane Trench Planting Yield

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An Optimization Approach for Convolutional Neural Network Using Non-Dominated Sorted Genetic Algorithm-Ⅱ

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Computers, Materials & Continua 2023年第3期74卷 5641-5661页

作者： Afia Zafar Muhammad aamir Nazri Mohd Nawi Ali Arshad Saman riaz Abdulrahman Alruban Ashit Kumar Dutta Badr Almutairi Sultan Almotairi Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn MalaysiaMalaysia School of Electronics Computing and MathematicsUniversity of DerbyUK Department of Computer Science National University of TechnologyIslamabadPakistan Department of Information Technology College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityRiyadh13713Kingdom of Saudi Arabia Department of Information Technology College of Computer Sciences and Information Technology CollegeMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Natural and Applied Sciences Faculty of Community CollegeMajmaah UniversityMajmaah11952Saudi Arabia Department of Information Systems Faculty of Computer and Information SciencesIslamic University of MadinahMadinah42351Saudi Arabia

In computer vision,convolutional neural networks have a wide range of *** representmost of today’s data,so it’s important to know how to handle these large amounts of data *** neural networks have been shown to solve image processing problems ***,when designing the network structure for a particular problem,you need to adjust the hyperparameters for higher *** technique is time consuming and requires a lot of work and domain *** a convolutional neural network architecture is a classic NP-hard optimization *** the other hand,different datasets require different combinations of models or hyperparameters,which can be time consuming and *** approaches have been proposed to overcome this problem,such as grid search limited to low-dimensional space and queuing by random *** address this issue,we propose an evolutionary algorithm-based approach that dynamically enhances the structure of Convolution Neural Networks(CNNs)using optimized *** study proposes a method using Non-dominated sorted genetic algorithms(NSGA)to improve the hyperparameters of the CNN *** addition,different types and parameter ranges of existing genetic algorithms are *** study was conducted with various state-of-the-art methodologies and *** have shown that our proposed approach is superior to previous methods in terms of classification accuracy,and the results are published in modern computing literature.

关键词： Non-dominated sorted genetic algorithm convolutional neural network hyper-parameter optimization

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