Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement.The genetic improv...Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement.The genetic improvement of crops to enhance their resilience to abiotic stresses and new pests due to climate change is essential for future food security.The field of genomics has made significant strides over the past few decades,enabling us to sequence and analyze entire genomes.However,understanding the complex relationship between genes and their expression in phenotypes-the observable characteristics of an organism-requires a deeper understanding of phenomics.Phenomics seeks to link genetic information with biological processes and environmental factors to better understand complex traits and diseases.Recent breakthroughs in this field include the development of advanced imaging technologies,artificial intelligence algorithms,and large-scale data analysis techniques.These tools have enabled us to explore the relationships between genotype,phenotype,and environment in unprecedented detail.This review explores the importance of understanding the complex relationship between genes and their expression in phenotypes.Integration of genomics with efficient high throughput plant phenotyping as well as the potential of machine learning approaches for genomic and phenomics trait discovery.展开更多
Crop improvement is crucial for addressing the global challenges of food security and sustainable agriculture.Recent advancements in high-throughput phenotyping(HTP)technologies and artificial intelligence(AI)have rev...Crop improvement is crucial for addressing the global challenges of food security and sustainable agriculture.Recent advancements in high-throughput phenotyping(HTP)technologies and artificial intelligence(AI)have revolutionized the field,enabling rapid and accurate assessment of crop traits on a large scale.The integration of AI and machine learning algorithms with HTP data has unlocked new opportunities for crop improvement.AI algorithms can analyze and interpret large datasets,and extract meaningful patterns and correlations between phenotypic traits and genetic factors.These technologies have the potential to revolutionize plant breeding programs by providing breeders with efficient and accurate tools for trait selection,thereby reducing the time and cost required for variety development.However,further research and collaboration are needed to overcome the existing challenges and fully unlock the power of HTP and AI in crop improvement.By leveraging AI algorithms,researchers can efficiently analyze phenotypic data,uncover complex patterns,and establish predictive models that enable precise trait selection and crop breeding.The aim of this review is to explore the transformative potential of integrating HTP and AI in crop improvement.This review will encompass an in-depth analysis of recent advances and applications,highlighting the numerous benefits and challenges associated with HTP and AI.展开更多
In the smart farm,we can control every detail for production.Collecting every factor that affects the crop’s final yield is necessary to optimize its efficiency.The SPAD values were observed in the‘Star’cultivar bl...In the smart farm,we can control every detail for production.Collecting every factor that affects the crop’s final yield is necessary to optimize its efficiency.The SPAD values were observed in the‘Star’cultivar blueberry(Vaccinium darrowii)three times a day and at three different plant heights.The pattern of SPAD value change was different by the planting position.Ground planted blueberry(V.darrowii)represented a stable SPAD value during the day and at the different heights.However,the SPAD value was increased by time in pot-planted blueberry(V.darrowii).Also,the SPAD value of pot-planted blueberry was lower than ground planted blueberry(V.darrowii).Even when plants were of the same cultivar and age,planting conditions affected the changing pattern of SPAD in a day.Each planting condition had merit.Therefore,proper management is needed to compensate SPAD value in pot-planted blueberry(V.darrowii).This study suggests that environmental conditions like planting factors affect the final products.Therefore,to maximize the efficiency at the smart farm,the factors that could affect the final yield should be investigated and accumulated.展开更多
Recognizing the variation of genetic resources is the first step in selection.One of the most important variations in grain crops is the uniformity of seed grain weight,which can be converted into seed size.However,it...Recognizing the variation of genetic resources is the first step in selection.One of the most important variations in grain crops is the uniformity of seed grain weight,which can be converted into seed size.However,it has been challenging since it needs high labor costs and time to measure it on a large scale.The current study used an image analysis technique to measure the grain seed area of about 100 seeds per accession with 64 germplasm of Tartary buckwheat(Fagopyrum tataricum)to study variation among and within them.To understand the nature of variation,skewness and kurtosis analysis of probability density function curve for seed area were used.As a result,a large variation among and within accessions was found.This means that the seed sizes within an accession are not uniform in this given cleistogamous species due to its non-uniform flowering time.This implies that the seed size should be considered an important factor for the germplasm enhancement program.展开更多
Wheat(Triticum aestivum)production is vital for global food security,providing energy and protein to mil-lions of people worldwide.Recent advancements in wheat research have led to significant increases in pro-duction...Wheat(Triticum aestivum)production is vital for global food security,providing energy and protein to mil-lions of people worldwide.Recent advancements in wheat research have led to significant increases in pro-duction,fueled by technological and scientific innovation.Here,we summarize the major advancements in wheat research,particularly the integration of biotechnologies and a deeper understanding of wheat biology.The shift from multi-omics to pan-omics approaches in wheat research has greatly enhanced our understanding of the complex genome,genomic variations,and regulatory networks to decode com-plex traits.We also outline key scientific questions,potential research directions,and technological stra-tegies for improving wheat over the next decade.Since global wheat production is expected to increase by 60%in 2050,continued innovation and collaboration are crucial.Integrating biotechnologies and a deeper understanding of wheat biology will be essential for addressing future challenges in wheat production,ensuring sustainable practices and improved productivity.展开更多
基金supported this research through the National Research Foundation of Korea(NRF),funded by the Ministry of Education(2019R1A6A1A11052070)。
文摘Advances in gene editing and natural genetic variability present significant opportunities to generate novel alleles and select natural sources of genetic variation for horticulture crop improvement.The genetic improvement of crops to enhance their resilience to abiotic stresses and new pests due to climate change is essential for future food security.The field of genomics has made significant strides over the past few decades,enabling us to sequence and analyze entire genomes.However,understanding the complex relationship between genes and their expression in phenotypes-the observable characteristics of an organism-requires a deeper understanding of phenomics.Phenomics seeks to link genetic information with biological processes and environmental factors to better understand complex traits and diseases.Recent breakthroughs in this field include the development of advanced imaging technologies,artificial intelligence algorithms,and large-scale data analysis techniques.These tools have enabled us to explore the relationships between genotype,phenotype,and environment in unprecedented detail.This review explores the importance of understanding the complex relationship between genes and their expression in phenotypes.Integration of genomics with efficient high throughput plant phenotyping as well as the potential of machine learning approaches for genomic and phenomics trait discovery.
基金supported by a grant from the Standardization and Integration of Resources Information for Seed-cluster in Hub-Spoke Material Bank Program,Rural Development Administration,Republic of Korea(PJ01587004).
文摘Crop improvement is crucial for addressing the global challenges of food security and sustainable agriculture.Recent advancements in high-throughput phenotyping(HTP)technologies and artificial intelligence(AI)have revolutionized the field,enabling rapid and accurate assessment of crop traits on a large scale.The integration of AI and machine learning algorithms with HTP data has unlocked new opportunities for crop improvement.AI algorithms can analyze and interpret large datasets,and extract meaningful patterns and correlations between phenotypic traits and genetic factors.These technologies have the potential to revolutionize plant breeding programs by providing breeders with efficient and accurate tools for trait selection,thereby reducing the time and cost required for variety development.However,further research and collaboration are needed to overcome the existing challenges and fully unlock the power of HTP and AI in crop improvement.By leveraging AI algorithms,researchers can efficiently analyze phenotypic data,uncover complex patterns,and establish predictive models that enable precise trait selection and crop breeding.The aim of this review is to explore the transformative potential of integrating HTP and AI in crop improvement.This review will encompass an in-depth analysis of recent advances and applications,highlighting the numerous benefits and challenges associated with HTP and AI.
基金supported this research through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(2019R1A6A1A11052070).
文摘In the smart farm,we can control every detail for production.Collecting every factor that affects the crop’s final yield is necessary to optimize its efficiency.The SPAD values were observed in the‘Star’cultivar blueberry(Vaccinium darrowii)three times a day and at three different plant heights.The pattern of SPAD value change was different by the planting position.Ground planted blueberry(V.darrowii)represented a stable SPAD value during the day and at the different heights.However,the SPAD value was increased by time in pot-planted blueberry(V.darrowii).Also,the SPAD value of pot-planted blueberry was lower than ground planted blueberry(V.darrowii).Even when plants were of the same cultivar and age,planting conditions affected the changing pattern of SPAD in a day.Each planting condition had merit.Therefore,proper management is needed to compensate SPAD value in pot-planted blueberry(V.darrowii).This study suggests that environmental conditions like planting factors affect the final products.Therefore,to maximize the efficiency at the smart farm,the factors that could affect the final yield should be investigated and accumulated.
基金supported by a grant from the Standardization and Integration of Resources Information for Seed-Cluster in Hub-Spoke Material Bank Program(Project No.PJ01587004),Rural Development Administration,Republic of Korea.
文摘Recognizing the variation of genetic resources is the first step in selection.One of the most important variations in grain crops is the uniformity of seed grain weight,which can be converted into seed size.However,it has been challenging since it needs high labor costs and time to measure it on a large scale.The current study used an image analysis technique to measure the grain seed area of about 100 seeds per accession with 64 germplasm of Tartary buckwheat(Fagopyrum tataricum)to study variation among and within them.To understand the nature of variation,skewness and kurtosis analysis of probability density function curve for seed area were used.As a result,a large variation among and within accessions was found.This means that the seed sizes within an accession are not uniform in this given cleistogamous species due to its non-uniform flowering time.This implies that the seed size should be considered an important factor for the germplasm enhancement program.
基金supported by the Key Program of the National Natural Science Foundation of China(32130078)the Major Program of the National Natural Science Foundation of China(31991210)Pinduoduo-China Agricultural University Research Fund(PC2023A01003).
文摘Wheat(Triticum aestivum)production is vital for global food security,providing energy and protein to mil-lions of people worldwide.Recent advancements in wheat research have led to significant increases in pro-duction,fueled by technological and scientific innovation.Here,we summarize the major advancements in wheat research,particularly the integration of biotechnologies and a deeper understanding of wheat biology.The shift from multi-omics to pan-omics approaches in wheat research has greatly enhanced our understanding of the complex genome,genomic variations,and regulatory networks to decode com-plex traits.We also outline key scientific questions,potential research directions,and technological stra-tegies for improving wheat over the next decade.Since global wheat production is expected to increase by 60%in 2050,continued innovation and collaboration are crucial.Integrating biotechnologies and a deeper understanding of wheat biology will be essential for addressing future challenges in wheat production,ensuring sustainable practices and improved productivity.
