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Revolutionizing Crop Breeding:Next-Generation Artificial Intelligence and Big Data-Driven Intelligent Design 被引量:1
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作者 Ying Zhang Guanmin Huang +5 位作者 Yanxin Zhao Xianju Lu Yanru Wang Chuanyu Wang Xinyu Guo Chunjiang Zhao 《Engineering》 2025年第1期245-255,共11页
The security of the seed industry is crucial for ensuring national food security.Currently,developed countries in Europe and America,along with international seed industry giants,have entered the Breeding 4.0 era.This... The security of the seed industry is crucial for ensuring national food security.Currently,developed countries in Europe and America,along with international seed industry giants,have entered the Breeding 4.0 era.This era integrates biotechnology,artificial intelligence(AI),and big data information technology.In contrast,China is still in a transition period between stages 2.0 and 3.0,which primarily relies on conventional selection and molecular breeding.In the context of increasingly complex international situations,accurately identifying core issues in China's seed industry innovation and seizing the frontier of international seed technology are strategically important.These efforts are essential for ensuring food security and revitalizing the seed industry.This paper systematically analyzes the characteristics of crop breeding data from artificial selection to intelligent design breeding.It explores the applications and development trends of AI and big data in modern crop breeding from several key perspectives.These include highthroughput phenotype acquisition and analysis,multiomics big data database and management system construction,AI-based multiomics integrated analysis,and the development of intelligent breeding software tools based on biological big data and AI technology.Based on an in-depth analysis of the current status and challenges of China's seed industry technology development,we propose strategic goals and key tasks for China's new generation of AI and big data-driven intelligent design breeding.These suggestions aim to accelerate the development of an intelligent-driven crop breeding engineering system that features large-scale gene mining,efficient gene manipulation,engineered variety design,and systematized biobreeding.This study provides a theoretical basis and practical guidance for the development of China's seed industry technology. 展开更多
关键词 crop breeding Next-generation artificial intelligence Multiomics big data Intelligent design breeding
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Exploration of Student-centered Curriculum Ideological and Political Teaching under the Background of Rural Revitalization Strategy : A Case Study of Crop Breeding
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作者 Hui LI Yinghong TANG 《Agricultural Biotechnology》 2025年第4期76-80,共5页
Crop Breeding is a compulsory course for agriculture-related majors and serves as an important platform for cultivating talents in agriculture,rural areas and farmers.Curriculum ideological and political education in ... Crop Breeding is a compulsory course for agriculture-related majors and serves as an important platform for cultivating talents in agriculture,rural areas and farmers.Curriculum ideological and political education in the course of Crop Breeding can not only impart professional knowledge to students,but also shape their correct outlook on life,world and values.Based on elaborating the necessity of integrating curriculum ideological and political education into the Crop Breeding course,this paper deeply explored ideological and political elements and achieved their organic integration with professional knowledge.Throughout the teaching process,the educational effect of combining professional knowledge instruction with ideological and political education has been achieved,thereby creating new pathways for ideological and political development in the Crop Breeding course.While enabling students to learn and master basic theories,developmental trends,and cutting-edge knowledge of the discipline,this approach enhances students sense of identity and belonging to the profession,cultivates their dedication to agriculture,rural areas,and farmers,and strengthens their sense of responsibility and historical mission in revitalizing agriculture.Therefore,it can foster high-quality agricultural talents for China s rural revitalization strategy. 展开更多
关键词 crop breeding Curriculum ideological and political education Rural revitalization Teaching reform
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High-throughput phenotyping: Breaking through the bottleneck in future crop breeding 被引量:15
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作者 Peng Song Jinglu Wang +2 位作者 Xinyu Guo Wanneng Yang Chunjiang Zhao 《The Crop Journal》 SCIE CSCD 2021年第3期633-645,共13页
With the rapid development of genetic analysis techniques and crop population size,phenotyping has become the bottleneck restricting crop breeding.Breaking through this bottleneck will require phenomics,defined as the... With the rapid development of genetic analysis techniques and crop population size,phenotyping has become the bottleneck restricting crop breeding.Breaking through this bottleneck will require phenomics,defined as the accurate,high-throughput acquisition and analysis of multi-dimensional phenotypes during crop growth at organism-wide levels,ranging from cells to organs,individual plants,plots,and fields.Here we offer an overview of crop phenomics research from technological and platform viewpoints at various scales,including microscopic,ground-based,and aerial phenotyping and phenotypic data analysis.We describe recent applications of high-throughput phenotyping platforms for abiotic/biotic stress and yield assessment.Finally,we discuss current challenges and offer perspectives on future phenomics research. 展开更多
关键词 High-throughput phenotyping crop breeding crop phenomics Phenotyping platform Data analysis
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New and Emerging Genomics-based Approaches in Crop Breeding
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作者 Bin Han 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2012年第7期301-302,共2页
Rapid progress in genome sequencing has enabled develop- ments of new powerful approaches for fast-forward genetic study. Sequencing-based genotyping and genome-wide associ- ation mapping advanced crop functional geno... Rapid progress in genome sequencing has enabled develop- ments of new powerful approaches for fast-forward genetic study. Sequencing-based genotyping and genome-wide associ- ation mapping advanced crop functional genomic study. Genome sequence information can be applied in various ways for crop improvement. One of the goals of this special issue is to review the progresses of developments of functional genomics in three crops of rice, soybean and cotton as well as a vegetable crop of tomato. Rice (Oryza sativa L.) is the staple food for more than half of the world population. Soybean and cotton are the most important economic crops. Solanum represents one of the most diverse plant genera and used widely around the world. In this issue, six papers report development of genomics approaches on crop genetic studies. Below we highlight some of the advances noted in this special issue. 展开更多
关键词 QTLs New and Emerging Genomics-based Approaches in crop breeding gene high
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Construction and Exploration of Ideological and Political Education in Crop Breeding Course
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作者 Hui LI Fanjun ZENG Yinghong TANG 《Asian Agricultural Research》 2021年第2期58-60,共3页
In order to start a new situation for the development of higher education in China,and to achieve the goal of educating people through the whole process and all-round education in colleges and universities,this paper ... In order to start a new situation for the development of higher education in China,and to achieve the goal of educating people through the whole process and all-round education in colleges and universities,this paper takes Crop Breeding Course as an example,from the characteristics of the curriculum,the history of crop breeding and the ideological and political elements of professional courses,explored the curriculum construction in the aspects of excavation,and summarized the effects of the ideological and political construction of Crop Breeding Course. 展开更多
关键词 crop breeding Course Ideological and political education in courses AGRONOMY
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Robots Take Over Crop Breeding
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《Bulletin of the Chinese Academy of Sciences》 2025年第3期144-144,共1页
Traditional hybrid crop breeding faces inefficiencies due to labor-intensive manual pollination-especially for crops like tomatoes and soybeans with complex flowers.Researchers at the Institute of Genetics and Develop... Traditional hybrid crop breeding faces inefficiencies due to labor-intensive manual pollination-especially for crops like tomatoes and soybeans with complex flowers.Researchers at the Institute of Genetics and Developmental Biology(IGDB),Chinese Academy of Sciences,have developed GEAIR(Genome Editing with Artificial-Intelligence-based Robots),an AI-robotic system that pollinates gene-edited plants 24/7. 展开更多
关键词 genome editing crop breeding hybrid crop artificial intelligence pollination efficiency robots
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Call for Papers Special Issue“AI in Crop Breeding”
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《aBIOTECH》 2025年第2期I0001-I0001,共1页
The aBIOTECH journal is pleased to announce that it will publish a Feature Issue on“AI in Crop Breeding”.In this issue,submission of articles addressing the following research areas would be welcomed.
关键词 feature issue crop breeding abiotech journal AI
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Modern phenomics to empower holistic crop science, agronomy, and breeding research 被引量:1
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作者 Ni Jiang Xin-Guang Zhu 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2024年第8期790-800,共11页
Crop phenomics enables the collection of diverse plant traits for a large number of samples along different time scales,representing a greater data collection throughput compared with traditional measurements.Most mod... Crop phenomics enables the collection of diverse plant traits for a large number of samples along different time scales,representing a greater data collection throughput compared with traditional measurements.Most modern crop phenomics use different sensors to collect reflective,emitted,and fluorescence signals,etc.,from plant organs at different spatial and temporal resolutions.Such multi-modal,high-dimensional data not only accelerates basic research on crop physiology,genetics,and whole plant systems modeling,but also supports the optimization of field agronomic practices,internal environments of plant factories,and ultimately crop breeding.Major challenges and opportunities facing the current crop phenomics research community include developing community consensus or standards for data collection,management,sharing,and processing,developing capabilities to measure physiological parameters,and enabling farmers and breeders to effectively use phenomics in the field to directly support agricultural production. 展开更多
关键词 crop phenomics High-throughput phenotyping Traits crop designer breeding AGRONOMY
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Engineering the future cereal crops with big biological data:toward intelligence-driven breeding by design
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作者 Lei Liu Jimin Zhan Jianbing Yan 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2024年第8期781-789,共9页
How to feed 10 billion human populations is one of the challenges that need to be addressed in the following decades,especially under an unpredicted climate change.Crop breeding,initiating from the phenotype-based sel... How to feed 10 billion human populations is one of the challenges that need to be addressed in the following decades,especially under an unpredicted climate change.Crop breeding,initiating from the phenotype-based selection by local farmers and developing into current biotechnology-based breeding,has played a critical role in securing the global food supply.However,regarding the changing environment and ever-increasing human population,can we breed outstanding crop varieties fast enough to achieve high productivity,good quality,and widespread adaptability?This review outlines the recent achievements in understanding cereal crop breeding,including the current knowledge about crop agronomic traits,newly developed techniques,crop big biological data research,and the possibility of integrating them for intelligence-driven breeding by design,which ushers in a new era of crop breeding practice and shapes the novel architecture of future crops.This review focuses on the major cereal crops,including rice,maize,and wheat,to explain how intelligence-driven breeding by design is becoming a reality. 展开更多
关键词 crop Big biological data Multi-omic Artificial intelligence crop design breeding
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Investigation on Breeding Direction of Grain Crops——Taking Henan Province as an example
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作者 解宗方 《Agricultural Science & Technology》 CAS 2012年第8期1793-1799,1810,共8页
[Objective] This paper aimed to investigate the breeding direction of grain crops in Henan Province. [Method] Superior varieties are the basis of grain yield-increase, and a proper breeding direction is essential for ... [Objective] This paper aimed to investigate the breeding direction of grain crops in Henan Province. [Method] Superior varieties are the basis of grain yield-increase, and a proper breeding direction is essential for breeding of superior varieties. According to the actual situation and production requirements in Henan Province, by using statistical data of grain production, this paper analyzed the current situation and influencing factors of grain production in Henan Province, and summarized the breeding direction of current grain production. [Result] The increase of grain output in Henan Province mainly relies on the increase of grain yield per unit area and is achieved based on the increase of wheat and corn yield. There are several main factors affecting grain production in Henan Province, including the frequent meteorological disasters, low resistance to natural disasters, excessive chemical fertilizer inputs, decreased material conversion efficiency, aggravated pollution of the agricultural surface source, imbalanced quality and the distribution of cultivated land, emphasizing yield traits but neglecting related traits during crop breeding pro- cess, unitary dominant varieties resulting from narrow germplasm resources, and reduced grain-planting population with the migration of rural labor force. On this basis, the grain breeding direction is proposed with high yield, high efficiency, adaptability, stress resistance, specificity and safety, to enhance the grain crop breeding level, breed superior varieties, and realize the intensive use of cultivated land, intensive saving of materials, intensive substitution of labor force, intensive protection of environment and intensive efficiency of technologies by adjusting the breeding direction, thus promoting the sustained and stable development of grain production. [Conclusion] This paper provides basis for the breeding of superior varieties of grain crops and improvement of grain output in Henan Province. 展开更多
关键词 GRAIN crop breeding YIELD Direction
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Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives 被引量:57
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作者 Awais Rasheed Yuanfeng Hao +4 位作者 Xianchun Xia Awais Khan Yunbi Xu Rajeev K. Varshney Zh-onghu He 《Molecular Plant》 SCIE CAS CSCD 2017年第8期1047-1064,共18页
There is a rapidly rising trend in the development and application of molecular marker assays for gene map- ping and discovery in field crops and trees. Thus far, more than 50 SNP arrays and 15 different types of geno... There is a rapidly rising trend in the development and application of molecular marker assays for gene map- ping and discovery in field crops and trees. Thus far, more than 50 SNP arrays and 15 different types of genotyping-by-sequencing (GBS) platforms have been developed in over 25 crop species and perennial trees. However, much less effort has been made on developing ultra-high-throughput and cost-effective genotyping platforms for applied breeding programs. In this review, we discuss the scientific bottlenecks in existing SNP arrays and GBS technologies and the strategies to develop targeted platforms for crop mo- lecular breeding. We propose that future practical breeding platforms should adopt automated genotyping technologies, either array or sequencing based, target functional polymorphisms underpinning economic traits, and provide desirable prediction accuracy for quantitative traits, with universal applications under wide genetic backgrounds in crops. The development of such platforms faces serious challenges at both the technological level due to cost ineffectiveness, and the knowledge level due to large genotype- phenotype gaps in crop plants. It is expected that such genotyping platforms will be achieved in the next ten years in major crops in consideration of (a) rapid development in gene discovery of important traits, (b) deepened understanding of quantitative traits through new analytical models and population designs, (c) integration of multi-layer -omics data leading to identification of genes and pathways responsible for important breeding traits, and (d) improvement in cost effectiveness of large-scale genotyping. Crop breeding chips and genotyping platforms will provide unprecedented opportunities to accelerate the development of cultivars with desired yield potential, quality, and enhanced adaptation to mitigate the effects of climate change. 展开更多
关键词 Single nucleotide polymorphisms (SNPs) Genotyping-by-sequencing (GBS) SNP arrays crop breeding Genotyping platforms
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Using Interactome Big Data to Crack Genetic Mysteries and Enhance Future Crop Breeding 被引量:10
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作者 Leiming Wu Linqian Han +3 位作者 Qing Li Guoying Wang Hongwei Zhang Lin Li 《Molecular Plant》 SCIE CAS CSCD 2021年第1期77-94,共18页
The functional genes underlying phenotypic variation and their interactions represent“genetic mysteries”.Understanding and utilizing these genetic mysteries are key solutions for mitigating the current threats to ag... The functional genes underlying phenotypic variation and their interactions represent“genetic mysteries”.Understanding and utilizing these genetic mysteries are key solutions for mitigating the current threats to agriculture posed by population growth and individual food preferences.Due to advances in highthroughput multi-omics technologies,we are stepping into an Interactome Big Data era that is certain to revolutionize genetic research.In this article,we provide a brief overview of current strategies to explore genetic mysteries.We then introduce the methods for constructing and analyzing the Interactome Big Data and summarize currently available interactome resources.Next,we discuss how Interactome Big Data can be used as a versatile tool to dissect genetic mysteries.We propose an integrated strategy that could revolutionize genetic research by combining Interactome Big Data with machine learning,which involves mining information hidden in Big Data to identify the genetic models or networks that control various traits,and also provide a detailed procedure for systematic dissection of genetic mysteries,Finally,we discuss three promising future breeding strategies utilizing the Interactome Big Data to improve crop yields and quality. 展开更多
关键词 genetic mystery interactome big data machine learning crop breeding
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The CRISPR/Cas revolution continues: From efficient gene editing for crop breeding to plant synthetic biology 被引量:10
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作者 Jochen Kumlehn Janine Pietralla +2 位作者 Goetz Hensel Michael Pacher Holger Puchta 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2018年第12期1127-1153,共27页
Since the discovery that nucleases of the bacterial CRISPR(clustered regularly interspaced palindromic repeat)-associated(Cas) system can be used as easily programmable tools for genome engineering,their application m... Since the discovery that nucleases of the bacterial CRISPR(clustered regularly interspaced palindromic repeat)-associated(Cas) system can be used as easily programmable tools for genome engineering,their application massively transformed different areas of plant biology. In this review, we assess the current state of their use for crop breeding to incorporate attractive new agronomical traits into specific cultivars of various crop plants. This can be achieved by the use of Cas9/12 nucleases for double-strand break induction,resulting in mutations by non-homologous recombinatr e-tion. Strategies for performing such experiments à from Rthe design of guide RNA to the use of different transformation technologies à are evaluated. Furtherweive-more, we sum up recent developments regarding the use of nuclease-deficient Cas9/12 proteins, as DNAbinding moieties for targeting different kinds of enzyme activities to specific sites within the genome. Progress in base deamination, transcriptional induction and transcriptional repression, as well as in imaging in plants, is also discussed. As different Cas9/12 enzymes are at hand, the simultaneous application of various enzyme activities, to multiple genomic sites, is now in reach to redirect plant metabolism in a multifunctional manner and pave the way for a new level of plant synthetic biology. 展开更多
关键词 From efficient gene editing for crop breeding to plant synthetic biology The CRISPR/Cas revolution continues
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Parallel Seeds:From Foundation Models to Foundation Intelligence for Agricultural Sustainability
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作者 Laiyi Fu Shunkang Ling +3 位作者 Danyang Wu Mengzhen Kang Fei-Yue Wang Hequan Sun 《IEEE/CAA Journal of Automatica Sinica》 2025年第3期481-484,共4页
THE development of agriculture faces significant challenges due to population growth,climate change,land depletion,and environmental pollution,threatening global food security[1].This necessitates the development of s... THE development of agriculture faces significant challenges due to population growth,climate change,land depletion,and environmental pollution,threatening global food security[1].This necessitates the development of sustainable agriculture,where a fundamental step is crop breeding to improve agronomic or economic traits,e.g.,increasing yields of crops while decreasing resource usage and minimizing pollution to the environment[2]. 展开更多
关键词 environmental pollutionthreatening sustainable agriculturewhere improve agronomic economic traitsegincreasing land depletion sustainable agriculture crop breeding population growth climate change
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Advances in plant oxygen sensing: endogenous and exogenous mechanisms
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作者 Zhen Yan Songyi Yang +6 位作者 Chen Lin Jin Yan Meng Liu Si Tang Weitao Jia Jianquan Liu Huanhuan Liu 《Journal of Genetics and Genomics》 2025年第5期615-627,共13页
Oxygen is essential for the biochemical processes that sustain life in eukaryotic organisms.Although plants produce oxygen through photosynthesis,they often struggle to survive in low-oxygen environments,such as durin... Oxygen is essential for the biochemical processes that sustain life in eukaryotic organisms.Although plants produce oxygen through photosynthesis,they often struggle to survive in low-oxygen environments,such as during flooding or submergence.To endure these conditions,they must reprogram their developmental and metabolic networks,and the adaptation process involves the continuous detection of both exogenous hypoxic signals and endogenous oxygen gradients.Recent research has significantly advanced our understanding of how plants respond to both endogenous and exogenous hypoxia signals.In this review,we explore advancements in both areas,comparing them to responses in animals,with a primary focus on how plants perceive and respond to exogenous hypoxic conditions,particularly those caused by flooding or submergence,as well as the hypoxia signaling pathways in different crops.Additionally,we discuss the interplay between endogenous and exogenous hypoxia signals in plants.Finally,we discuss future research directions aimed at improving crop resilience to flooding by integrating the perception and responses to both endogenous and exogenous signals.Through these efforts,we aspire to contribute to the development of crop varieties that are not only highly resistant but also experience minimal growth and yield penalties,thereby making substantial contributions to agricultural science. 展开更多
关键词 Oxygen sensing Hypoxia ADAPTION Flooding-resistance crop breeding
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Genetic Investigation Reveals That High Heterozygous Frequency in Selfing Offspring Promotes Multi-Generational Heterosis in Polyploid Rice
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作者 ZHU Lianjun HUANG Yu +4 位作者 YANG Jia CHEN Rou WU Jinwen LIU Xiangdong LU Zijun 《Rice science》 2025年第5期603-606,I0026-I0031,共10页
Polyploidization is a commonly employed strategy in crop breeding to augment genetic diversity,particularly leveraging the distinctive benefits of additional progressive heterosis or multi-generation heterosis unique ... Polyploidization is a commonly employed strategy in crop breeding to augment genetic diversity,particularly leveraging the distinctive benefits of additional progressive heterosis or multi-generation heterosis unique to polyploidy.Despite genetic disparities between polyploids and diploids,challenges stem from reproductive anomalies,complicating genetic investigations in polyploid systems.Through nearly two decades of intensive research,our team has effectively generated a series of fertile tetraploid lines known as neo-tetraploid rice(NTR),facilitating comparative genetic studies between diploid and tetraploid rice.In this study,we identified diploid counterparts(H3d and H8d)for two NTR lines[Huaduo 3(H3)and Huaduo 8(H8)]and utilized them to create diploid and tetraploid fertile F_(2) populations to assess genotype segregation ratios,recombination rates,and their impact on QTL mapping via bulked segregant analysis combined with sequencing(BSA-seq).Additionally,we assessed yield heterosis in F_(1) and F_(2) generations of two tetraploid populations(H3×H8 and T449×H1),revealing evidence of multi-generation heterosis in polyploid rice.These findings provide valuable insights into the advantages and challenges of polyploid rice breeding. 展开更多
关键词 heterozygous frequency genetic investigations augment genetic diversityparticularly polyploid rice progressive heterosis crop breeding genetic investigation multi generational heterosis
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Comparison of Statistical Models for Regional Crop Trial Analysis 被引量:3
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作者 ZHANG Qun-yuan and KONG Fan-ling(College of Crop Science , China Agricultural University ,Beijing 100094 , P.R. China) 《Agricultural Sciences in China》 CAS CSCD 2002年第6期605-611,共7页
Based on the review and comparison of main statistical analysis models for estimating variety-environment cell means in regional crop trials, a new statistical model, LR-PCA composite model was proposed, and the predi... Based on the review and comparison of main statistical analysis models for estimating variety-environment cell means in regional crop trials, a new statistical model, LR-PCA composite model was proposed, and the predictive precision of these models were compared by cross validation of an example data. Results showed that the order of model precision was LR-PCA model > AMMI model > PCA model > Treatment Means (TM) model > Linear Regression (LR) model > Additive Main Effects ANOVA model. The precision gain factor of LR-PCA model was 1.55, increasing by 8.4% compared with AMMI. 展开更多
关键词 crop breeding science Regional trial Statistical Model Predictive precision
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Generation of a collection of MYB mutant lines via pooled CRISPR-Cas9 in grape
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作者 Xuena Yu Yang Hu +5 位作者 Jiasi Han Liang Zhao Zhuoshuai Jin Xiangnan Xu Jiayue Feng Yingqiang Wen 《Journal of Integrative Agriculture》 2025年第8期3287-3290,共4页
CRISPR-Cas9 has emerged as a powerful tool for gene editing,and it has been widely used in plant functional genomics research and crop genetic breeding(Chen et al.2019).The target specificity of CRISPR-Cas9 relies on ... CRISPR-Cas9 has emerged as a powerful tool for gene editing,and it has been widely used in plant functional genomics research and crop genetic breeding(Chen et al.2019).The target specificity of CRISPR-Cas9 relies on the 20-base-pair single guide RNA(sgRNA),which makes creating plant-specific mutant libraries through large-scale synthesis of sgRNAs targeting multiple genes or even the whole genome relatively quick and straightforward. 展开更多
关键词 plant functional genomics research GRAPE myb mutant lines plant functional genomics CRISPR Cas crop genetic breeding gene editingand gene editing
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A Preliminary Study on Systems Engineering-Based Method for the Evaluation of Allelopathic Potential in Crops and Its Application
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作者 ZUO Sheng-peng MA Yong-qing 《Agricultural Sciences in China》 CAS CSCD 2007年第1期68-77,共10页
The objective of this study was to develop a method to assess and analyze the total allelopathic potential of crop germplasm and to test this method on four winter wheat accessions commonly planted in the Loess Platea... The objective of this study was to develop a method to assess and analyze the total allelopathic potential of crop germplasm and to test this method on four winter wheat accessions commonly planted in the Loess Plateau. A systems engineering model was developed and used to evaluate the total allelopathic potential of crop cultivars. In addition, a method for quantifying the total allelopathic potential in crop accessions was presented. Total allelopathic potential of four winter wheat accessions from the Loess Plateau was estimated and compared using a systems theory approach. The model assessed allelopathic potential in different parts of the plants from the time wheat turned green in spring until maturity. Results from these models indicated that the four wheat accessions had very weak allelopathic potential. Allelopathic potential declined in the order Xiaoyan 22 〉 Ningdong 1 〉 Fengchan 3 〉 Bima 1. This system engineering evaluation method allows for the assessment of allelopathic potential among crop varieties. It will help plant breeders to select and develop allelopathic crop accessions that combine weed suppression properties with agronomic traits related to yield and quality. 展开更多
关键词 systems engineering principles evaluation of crop allelopathic potential synergetic indices of allelopathic potential comprehensive index of allelopathic potential genetic breeding of allelopathic crop accessions
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Creating a novel herbicide-tolerance OsALS allele using CRISPR/Cas9-mediated gene editing 被引量:11
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作者 Fangquan Wang Yang Xu +7 位作者 Wenqi Li Zhihui Chen Jun Wang Fangjun Fan Yajun Tao Yanjie Jiang Qian-Hao Zhu Jie Yang 《The Crop Journal》 SCIE CSCD 2021年第2期305-312,共8页
Weeds and weedy rice plague commercial rice fields in many countries. Developingherbicide-tolerance rice is the most efficient strategy to control weed proliferation. CRISPR/Cas9-mediated gene editing, which generates... Weeds and weedy rice plague commercial rice fields in many countries. Developingherbicide-tolerance rice is the most efficient strategy to control weed proliferation. CRISPR/Cas9-mediated gene editing, which generates small InDels and nucleotide substitutions atand around target sites using error-prone non-homologous end joining DNA repairing, hasbeen widely adopted for generation of novel crop germplasm with a wide range of geneticvariation in important agronomic traits. We created a novel herbicide-tolerance allele inrice by targeting the acetolactate synthase (OsALS) gene using CRISPR/Cas9-mediated geneediting. The novel allele (G628W) arose from a G-to-T transversion at position 1882 of OsALSand conferred a high level of herbicide tolerance. Transgene-free progeny carryinghomozygous G628W allele were identified and showed agronomic performance similar tothat of wild-type plants, suggesting that the G628W allele is a valuable resource fordeveloping elite rice varieties with strong herbicide tolerance. To promote use of the G628Wallele and to accelerate introgression and/or pyramiding of the G628W allele with other elitealleles, we developed a DNA marker for the G628W allele that accurately and robustlydistinguished homozygous from heterozygous segregants. Our result further demonstratesthe feasibility of CRISPR/Cas9-mediated gene editing in creating novel genetic variation forcrop breeding. 展开更多
关键词 RICE CRISPR/Cas9 ALS Herbicide-tolerance crop breeding
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