检索结果-南通市图书馆

Genomic selection in plant breeding:Key factors shaping two decades of progress

Molecular plant 2024年第4期17卷 552-578页

作者： Admas Alemu Johanna Astrand Osval A.Montesinos-López Julio Isidro y Sanchez Javier fernandez-Gónzalez Wuletaw Tadesse Ramesh R.Vetukuri Anders S.Carlsson Alf Ceplitis JoséCrossa Rodomiro Ortiz Aakash Chawade department of plant Breeding Swedish University of Agricultural SciencesAlnarpSweden Lantmannen Lantbruk SvalövSweden facultad de Telematica University de ColimaColimaColima 28040Mexico Centro de Biotecnología y Genómica de plantas(CBGp UPM-INIA)Universidad Politécnica de Madrid(UPM)-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria(INIA)Campus de Montegancedo-UPM28223 MadridSpain international center for Agricultural Research in the dry Areas(ICARdA) RabatMorocco international maize and wheat improvement center(CIMMYT) Km 45Carretera México-VeracruzTexcocoMéxico 52640Mexico

Genomic selection,the a.p.ication of genomic prediction(Gp)models to select candidate individuals,has significantly advanced in the past two decades,effectively accelerating genetic gains in plant *** article provides a holistic overview of key factors that have influenced Gp in plant breeding during this *** delved into the pivotal roles of training population size and genetic diversity,and their relationship with the breeding population,in determining Gp *** emphasis was placed on optimizing training population *** explored its benefits and the associated diminishing returns beyond an optimum *** was done while considering the balance between resource allocation and maximizing prediction accuracy through current optimization *** density and distribution of single-nucleotide polymorphisms,level of linkage disequilibrium,genetic complexity,trait heritability,statistical machine-learning methods,and non-additive effects are the other vital *** wheat,maize,and potato as exa.p.es,we summarize the effect of these factors on the accuracy of Gp for various *** search for high accuracy in Gp—theoretically reaching one when using the pearson’s correlation as a metric—is an active research area as yet far from optimal for various *** hypothesize that with ultra-high sizes of genotypic and phenotypic datasets,effective training population optimization methods and support from other omics a.p.oaches(transcriptomics,metabolomics and proteomics)coupled with deep-learning algorithms could overcome the boundaries of current limitations to achieve the highest possible prediction accuracy,making genomic selection an effective tool in plant breeding.

关键词： genomic selection genetic gain genomic prediction optimization deep learning training population optimization

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Genetic sources and loci for wheat head blast resistance identified by genome-wide association analysis

引用

The Crop Journal 2022年第3期10卷 793-801页

作者： Lei Wu Xinyao He Muhammad Rezaul Kabir Krishna KRoy Md.Babul Anwar felix Marza Yi He peng Jiang Xu Zhang pawan K.Singh CIMMYT-JAAS Joint center for wheat diseases Jiangsu Academy of Agricultural SciencesNanjing 210014JiangsuChina international maize and wheat improvement center(CIMMYT) ApdoPostal 6-64106600 Mexico D.F.Mexico Bangladesh wheat and maize Research Institute(BWMRI) NashipurDinajpur 5200Bangladesh Instituto Nacional de Innovación Agropecuaria y forestal(INIAf) La PazBolivia

The emergence and spread of wheat blast caused by fungal pathogen Magnaporthe oryzae pathotype Triticum is a threat to global wheat *** resistance level and genetic loci for blast resistance in Chinese germplasm remain unknown.a.p.nel of 266 bread wheat accessions from China,CIMMYTmexico and other countries was screened.f.r head blast resistance under 12 field experiments in Bolivia and ***,a genome-wide association study was performed to understand the genetic basis of wheat blast *** average blast index of all the accessions was 53.7%±12.7%,and 10 accessions including Chinese accessions Yumai 10 and Yu 02321 showed moderate to high levels of blast resistance,accounting for only 3.8%in the ***-eight significant SNps clustered in a 28.9 Mb interval on the 2 AS/2 NS translocation region,explaining phenotypic variation between10.0%and 35.0%.The frequency of the 2 AS/2 NS translocation in the Chinese accessions was as low as4.5%.These results indicated that the 2 NS fragment was the only major locus conferring resistance to wheat blast in this panel,and the resistant and moderately resistant lines identified could be deployed in breeding.

关键词： Magnaporthe oryzae pathotype Triticum Host resistance wheat blast GWAS

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Comparison of sequencing-based and array-based genotyping platforms for genomic prediction of maize hybrid performance

引用

The Crop Journal 2023年第2期11卷 490-498页

作者： Guangning Yu Yanru Cui Yuxin Jiao Kai Zhou Xin Wang Wenyan Yang Yiyi Xu Kun Yang Xuecai Zhang pengcheng Li Zefeng Yang Yang Xu Chenwu Xu Key Laboratory of plant functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Co-Innovation center for Modern production Technology of Grain Crops College of AgricultureYangzhou UniversityYangzhou 225009JiangsuChina State Key Laboratory of North China Crop improvement and Regulation Hebei Agricultural UniversityBaoding 071001HebeiChina international maize and wheat improvement center(CIMMYT) 06600 Mexico D.F.Mexico

Genomic selection(GS)is a.p.werful tool for improving genetic gain in maize ***,its routine a.p.ication in large-scale breeding pipelines is limited by the high cost of genotyping *** sequencing-based and array-based genotyping platforms have been used.f.r GS,few studies have compared prediction performance among *** this study,we evaluated the predictabilities of four agronomic traits in 305 maize hybrids derived.f.om 149 parental lines subjected to genotyping by sequencing(GBS),a 40K SNp array,and target sequence capture(TSC)using eight GS *** GBS marker dataset yielded the highest predictabilities for all traits,followed by TSC and SNp array *** investigated the effect of marker density and statistical models on predictability among genotyping platforms and.f.und that 1K SNps were sufficient to achieve comparable predictabilities to 10K and all SNps,and BayesB,GBLUp,and RKHS performed well,while XGBoost performed poorly in most *** also selected significant SNp subsets using genome-wide association study(GWAS)analyses in three panels to predict hybrid *** facilitated selecting effective SNp subsets for GS and thus reduced genotyping cost,but depended heavily on the GWAS *** conclude that there is still room for optimization of the existing SNp array,and using genotyping by target sequencing(GBTS)techniques to integrate a few functional markers identified by GWAS into the 1K SNp array holds great promise of being an effective strategy for developing desirable GS breeding arrays.

关键词： Genomic selection maize GBS SNp array Marker density

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

dNNGp, a deep neural network-based method.f.r genomic prediction using multi-omics data in plants

引用

Molecular plant 2023年第1期16卷 279-293页

作者： Kelin Wang Muhammad Ali Abid Awais Rasheed Jose Crossa Sarah Hearne Huihui Li Institute of Crop Sciences Chinese Academy of Agricultural Sciences(CAAS)CIMMYT-China Office12 Zhongguancun South StreetBeijing 100081China Nanfan Research Institute CAASSanyaHainan 572024China department of plant Sciences Quaid-i-Azam UniversityIslamabad 45320Pakistan international maize and wheat improvement center(CIMMYT) Apdo.Postal 6-641TexcocoD.F.06600Mexico

Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement in *** methods typically use linear regression models with clear assumptions;such methods are unable to capture the complex relationships between genotypes and ***-linear models(e.g.,deep neural networks)have been proposed as a superior alternative to linear models because they can capture complex non-additive *** we introduce a deep learning(dL)method,deep neural network genomic prediction(dNNGp),for integration of multi-omics data in *** trained dNNGp on four datasets and compared its performance with methods built with five classic models:genomic best linear unbiased prediction(GBLUp);two methods based on a machine learning(ML)framework,light gradient boosting machine(LightGBM)and support vector regression(SVR);and two methods based on a dL framework,deep learning genomic selection(deepGS)and deep learning genome-wide association study(dLGWAS).dNNGp is novel in five ***,it can be a.p.ied to a variety of omics data to predict ***,the multilayered hierarchical structure of dNNGp dynamically learns features from raw data,avoiding overfitting and improving the convergence rate using a batch normalization layer and early stopping and rectified linear activation(rectified linear unit)***,when small datasets were used,dNNGp produced results that are competitive with results from the other five methods,showing greater prediction accuracy than the other methods when large-scale breeding data were ***,the computation time required by dNNGp was comparable with that of commonly used methods,up to 10 times faster than ***,hyperparameters can easily be batch tuned on a local *** with GBLUp,LightGBM,SVR,deepGS and dLGWAS,dNNGp is superior to these existing widely used genomic selection(GS)***,dNNGp can generate robust assessments from diverse datasets,including omics data

关键词： deep learning genomic selection multi-omics data prediction method

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

dissecting maize productivity:Ideotypes Associated with Grain Yield under drought Stress and Well-watered Conditions

引用

Journal of Integrative plant Biology 2012年第12期54卷 1007-1020页

作者： Jill E.Cairns Ciro Sanchez Mateo Vargas Raziel Ordoez Jose Luis Araus Global maize program International Maize and Wheat Improvement Center(CIMMYT)Mexico D.F.Mexico Bioinformatics and Statistics Unit International Maize and Wheat Improvement Center(CIMMYT)Mexico D.F.Mexico Unit of plant physiology Department of Plant BiologyUniversity of BarcelonaBarcelonaSpain

To increase maize （Zea mays L.） yields in drought-prone environments and offset predicted maize yield losses under future climates, the development of improved breeding pipelines using a multi-disciplinary a.p.oach is essential. Elucidating key growth processes will provide opportunities to improve drought breeding progress through the identification of key phenotypic traits, ideotypes, and donors. In this study, we tested a large set of tropical and subtropical maize inbreds and single cross hybrids under reproductive stage drought stress and well-watered conditions. patterns of biomass production, senescence, and plant water status were measured throughout the crop cycle. Under drought stress, early biomass production prior to anthesis was important for inbred yield, while delayed senescence was important for hybrid yield. Under well-watered conditions, the ability to maintain a high biomass throughout the growing cycle was crucial for inbred yield, while a stay-green pattern was important for hybrid yield. While new quantitative phenotyping tools such as spectral reflectance （Normalized d.f.erence Vegetation Index, NdVI） allowed.f.r the characterization of growth and senescence patterns as well as yield, qualitative measurements of canopy senescence were also found to be associated with grain yield.

关键词： Climate change drought stress ideotypes maize senescence spectral reflectance.

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A SSR Linkage Map of maizex Teosinte f_2 population and Analysis of Segregation distortion

引用

Agricultural Sciences in China 2011年第2期10卷 166-174页

作者： ZHOU Jun-qing GUO Yu-qiu GAO Yu-feng LI Jian-sheng YAN Jian-bing National maize improvement center of China China Agricultural UniversityBeijing 00P.R.China international maize and wheat improvement center（CIMMYT） Mexico D.F.06600Mexico

In this study,a linkage genetic map was constructed using a f2 population derived.f.om a cross between a elite maize inbred,B73,and its progenitor,Teosinte（*** ***）,through 205 simple sequence repeat（SSR） markers and one morphological *** Mapmaker 3.0,polymorphic markers were clustered into 10 groups,covering 10 chromosomes of maizexteosinte,with a total length of 2 002.4 cM and an average interval of 9.7 *** errors were detected using R/QTL（LOd=2.0） in 109 markers referring to 176 individuals,distributed across all 10 chromosomes with a ratio 1.2%.projected error loci were re-run and 304 out of the 460 were confirmed as errors and replaced.A new linkage map was constructed,in which markers maintained the same order but the total map length decreased to 1 947.8 cM,with an average interval of 9.4 cM between *** total,25.2%（p0.05） markers were identified to have segregation distortion,in which 34.6% deviated towards the pollination parent（B73）,30.8% deviated towards Teosinte,32.7% deviated towards heterozygote and 1.9% deviated towards both *** map was also compared with published maizexteosinte and maize IBM map.

关键词： maize molecular linkage map segregation distortion simple sequence repeat teosinte

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Three co-located resistance genes confer resistance to leaf rust and stripe rust in wheat variety Borlaug 100

引用

The Crop Journal 2022年第2期10卷 490-497页

作者： Bowei Ye Ravi p.Singh Chan Yuan demei Liu Mandeep S.Randhawa Julio Huerta-Espino Sridhar Bhavani Evans Lagudah Caixia Lan College of plant Science&Technology Huazhong Agricultural UniversityWuhan 430070HubeiChina international maize and wheat improvement center(CIMMYT) Apdo.Postal 6-64106600 Mexico D.F.Mexico Qinghai provincial Key Laboratory of Crop Molecular Breeding Northwest Institute of Plateau BiologyChinese Academy of ScienceXining 810008QinghaiChina Ca.p. Experimental Valle de México INIfAp Apdo.Postal 1056230ChapingoEdo.de MexicoMexico CSIRO Agriculture&food GPO Box 1600CanberraACT 2601Australia

Leaf rust(LR) and stripe rust(YR) are important diseases in wheat producing areas worldwide and cause severe yield losses under favorable environmental conditions when susceptible varieties are grown. We determined the genetic basis of resistance to LR and YR in variety Borlaug 100 by developing and phenotyping a.p.pulation of 198 f6 recombinant inbred lines derived.f.om a cross with the susceptible parent Apav#1. LR and YR phenotyping were conducted.f.r 4 and 3 seasons, respectively, at CIMMYT research stations in mexico under artificial epidemics. Mendelian segregation analyses indicated that 3–5 LR and 2 YR genes conferred resistance in Borlaug 100. Lr46/Yr29(1 BL), Yr17(2 AS) and Yr30(3 BS) were present in the resistant parent and segregated in the RIL population based on characterization by molecular markers linked to these genes. When present alone, Lr46/Yr29 caused average 13% and 16% reductions in LR and YR severities, respectively, in RILs. Similarly, Yr17 and Yr30 reduced YR severities by 57% and 11%, respectively. The Yr30 and the Yr17 translocation were also associated with 27% and 14% reductions, respectively, in LR severity, indicating that the 3 BS and 2 AS chromosomal regions likely carry new slow rusting LR resistance genes, temporarily designated as Lr B1 and Lr B2, respectively. Additive effects of Yr30*Yr17, Yr29*Yr17 and Yr29*Yr30 on YR and LR were significant and reduced YR severities by 56%,55%, and 45%, respectively, and LR severities by 34%, 40%, and 45%, respectively. furthermore, interaction between the three genes was also significant, with mean reductions of 70% for YR and 54% for LR severities. Borlaug 100, or any one of the 21 lines with variable agronomic traits but carrying all three colocated resistance loci, can be used as resistance sources in wheat breeding programs.

关键词： Co-located resistance loci Common wheat Gene interaction puccinia triticina puccinia striiformis Triticum aestivum

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Relationship between Carbon Isotope discrimination and Grain Yield in Spring wheat Cultivated under d.f.erent Water Regimes

引用

Journal of Integrative plant Biology 2007年第10期49卷 1497-1507页

作者： Xing Xu Hanming Yuan Shuhua Li Richard Trethowan philippe Monneveux Ningxia University Yinchuan China750021 Ningxia Key Laboratory of Agro-Biotechnology Academy of Agriculture and.f.restery Sciences Yinchuan China750021 international center for maize and wheat improvement a.p. 6-641 mexico d.f. 06600 Mexico SupAgro Montpellier Montpellier Cedex France34060

In C3 plants, carbon isotope discrimination （A） has been proposed as an indirect selection criterion for grain yield. Reported correlations between A and grain yield however, d.f.er highly according to the analyzed organ or tissue, the stage of sa.p.ing, and the environment and water regime. In a first experiment carried out in spring wheat during two consecutive seasons in the dry conditions of northwest mexico （Ciudad Obregon, Sonora）, d.f.erent water treatments were a.p.ied, corresponding to the main water regimes available to spring wheat worldwide, and the relationships between A values of d.f.erent organs and grain yield were examined. Under terminal （post-anthesis） water stress, grain yield was positively associated with A in grain at maturity and in leaf at anthesis, confirming results previously obtained under Mediterranean environments. Under early （pre-anthesis） water stress and residual moisture stress, the association between grain A and yield was weaker and highly depended on the quantity of water stored in the soil at sowing. No correlation was found between A and grain yield under optimal irrigation. The relationship between A and grain yield was also studied during two consecutive seasons in 20 bread wheat cultivars in the Ningxia region （Northern China）, characterized by winter drought （pre-anthesis water stress）. wheat was grown under rainfed conditions in two locations （Guyuan and pengyang） and under irrigated conditions in another two （Yinchuan and Huinong）. In Huinong, the crop was also exposed to salt stress. Highly significant positive associations were found between leaf and grain A and grain yields across the environments. The relationship between A and yield within environments highly depended on the quantity of water stored in the soil at sowing, the quantity and distribution of rainfall during the growth cycle, the presence of salt in the soil, and the occurrence of irrigation before anthesis. These two experiments confirmed the value of

关键词： carbon isotope discrimination drought salinity spring wheat yield.

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A genome-wide survey of maize lipid-related genes: candidate genes mining,digital gene expression profiling and colocation with QTL for maize kernel oil

引用

Science China(Life Sciences) 2010年第6期53卷 690-700页

作者： LI Lin1,LI Hui1,LI JiYing1,XU ShuTu1,YANG XiaoHong1,LI JianSheng1 & YAN JianBing1,2 1National maize improvement Centre of China,China Agricultural University,Beijing 100193,China 2international maize and wheat improvement Centre (CIMMYT),Apdo.postal 6-641,06600 mexico,d.f.,mexico National maize improvement Centre of China China Agricultural University Beijing China international maize and wheat improvement Centre (CIMMYT) Mexico D.F. Mexico

Lipids play an important role in plants due to their abundance and their extensive participation in many metabolic *** involved in lipid metabolism have been extensively studied in Arabidopsis and other plant *** this study,a total of 1003 maize lipid-related genes were cloned and annotated,including 42 genes with experimental validation,732 genes with full-length cdNA and protein sequences in public databases and 229 newly cloned ***-seven maize lipid-related genes with tissue-preferential expression were discovered by in silico gene expression profiling based on 1984483 maize Expressed Sequence Tags collected.f.om 182 cdNA ***,70 QTL clusters for maize kernel oil were identified,covering 34.5% of the maize ***-nine (84%) QTL clusters co-located with at least one lipid-related gene,and the total number of these genes amounted to ***,thirteen genes with kernel-preferential expression profiles fell within QTL clusters for maize kernel oil *** the maize lipid-related genes identified here may provide good targets for maize kernel oil QTL cloning and thus help us to better understand the molecular mechanism of maize kernel oil accumulation.

关键词： lipid metabolism in silico gene cloning in silico gene expression profiling quantative trait locus(QTL) maize

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Effects of Tillage and Crop Residue Management on maize Yields and Net Returns in the Central Mexican Highlands Under drought Conditions

引用

pedosphere 2014年第4期24卷 476-486页

作者： R.ROMERO-pEREZGROVAS N.VERHULST d.dE LA ROSA V.HERNáNdEZ M.MAERTENS J.dECKERS B.GOVAERTS international maize and wheat improvement center(CIMMYT) P.O.Box 6-641Mexico D.F.06600(Mexico) department of Earth and Environmental Sciences University of LeuvenCelestijnenlaan 200 ELeuven 3001(Belgium) Mathematics Research center(CIMAT) Jalisco S/NValencianaGuanajuatoMexico CP 36240(Mexico)

In the subtropical highlands of Central mexico,where the main crop is maize(Zea mays),the conventional practice(Cp) involves tillage,monoculture and residue removal,leading to soil degradation and unsustainable use of natural resources and agricultural *** agriculture(CA) has been proposed as a viable alternative in the region,based on reduction in tillage,retention of adequate levels of crop residues and soil surface cover and use of crop *** study began in 2009 when the highlands of Central mexico suffered.f.om a.p.olonged drought during vegetative maize growth in July-August,providing an opportunity for the on-farm comparison of CA with Cp under severe drought conditions which 21 climate change models projected to become more *** dry conditions,CA resulted in higher yields and net returns per hectare as early as the first and second years after adoption by *** an average of 27 plots under farmers' management in 2009,the maize yields were 26%higher under CA(6.3t ha^(-1)) than under Cp(5.0 t ha^(-1)).2010 was close to a normal year in terms of rainfall so yields were higher than in 2009 for both practices;in addition,the yield d.f.erence between the practices was reduced to 19%(6.8 t ha^(-1) for CA vs.5.7 t ha^(-1) for Cp).When all the 2009 and 2010 observations were analyzed in a mod.f.ed stability analysis,CA had an overall positive effect of 3 838 Mexican pesos ha^(-1)(320 $US ha^(-1)) on net return and 1.3 t ha^(-1) on *** only one to two years of adoption by farmers on their fields,CA had higher yields and net returns under dry conditions that were even drier than those predicted by the analyzed 21 climate change models under a climate change scenario,emission scenario A2.

关键词：玉米产量干旱条件耕作方式作物轮作墨西哥残留物管理气候变化模型

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：