際際滷shows by User: KHUSHBU776570 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: KHUSHBU776570 / Sun, 04 Sep 2022 06:41:53 GMT 際際滷Share feed for 際際滷shows by User: KHUSHBU776570 High Throughput Plant Phenotyping in Crop Improvement /slideshow/high-throughput-plant-phenotyping-in-crop-improvement/252820480 majorseminar-220904064153-a63f2d00
Plant phenomics is a high-throughput path-breaking area that meets all the requirements for the collection of accurate, rapid and multi-faceted phenotypic data. Traditional phenotyping tools are generally low-throughput, labor-intensive, which limits high efficiency and are prone to human error (Atefi et al. 2021). High throughput phenomics (HTP) technologies are essential to avoid human error and to reduce time consumption while phenotyping large germplasm populations (Pasala and Pandey, 2020). HTP is an emerging area with numerous applications that combines plant biology, sensing technology and robotics aiding crop improvement programs. Plant phenomics is the study of plant growth, performance and composition. (Atefi et al. 2021) Forward phenomics uses phenotyping tools to discriminate the useful germplasm having desirable traits among a collection of germplasm. This leads to identification of the best of the best germplasm. Thus in reverse phenomics, we discover mechanisms which make best varieties the best (Jitender et al. 2015). High Throughput Plant Phenotyping under three scenarios: greenhouses and growth chambers under strictly controlled conditions; ground-based proximal phenotyping in the field and aerial based platforms (Araus et al 2018). Root system architecture (RSA) phenotyping in situ is challenging, RADIX (a rhizoslide platform used to screen the shoots and roots). Application of plant phenotyping methods as a part of breeding programs has developed into an important research tool that facilitates breeders to develop cultivars with higher adaptability under different environmental conditions. Remote sensing with Unmanned Aerial Vehicles (UAVs ) has emerged as highly efficient and accurate used to determine crop performance and biomass estimation. Current advanced techniques include thermal, near-infrared sensing, fluorescence imaging, 3D scanning, RGB imaging, multispectral and hyperspectral sensing are lucratively used for plant growth and development identifcation, quantification and monitoring; disease monitoring and abiotic stress tolerance. The integration of crop functional structure with remote sensing, geography information systems, GPS technologies, cloud computing, decision support systems will promote the development of digital agriculture and provide technical support for modern agriculture (Song et al. 2021). The robust and user-friendly post-processing and analysis tools for processing and interpreting raw data are urgently needed and should be improved (Yang et al. 2020). ]]>
Plant phenomics is a high-throughput path-breaking area that meets all the requirements for the collection of accurate, rapid and multi-faceted phenotypic data. Traditional phenotyping tools are generally low-throughput, labor-intensive, which limits high efficiency and are prone to human error (Atefi et al. 2021). High throughput phenomics (HTP) technologies are essential to avoid human error and to reduce time consumption while phenotyping large germplasm populations (Pasala and Pandey, 2020). HTP is an emerging area with numerous applications that combines plant biology, sensing technology and robotics aiding crop improvement programs. Plant phenomics is the study of plant growth, performance and composition. (Atefi et al. 2021) Forward phenomics uses phenotyping tools to discriminate the useful germplasm having desirable traits among a collection of germplasm. This leads to identification of the best of the best germplasm. Thus in reverse phenomics, we discover mechanisms which make best varieties the best (Jitender et al. 2015). High Throughput Plant Phenotyping under three scenarios: greenhouses and growth chambers under strictly controlled conditions; ground-based proximal phenotyping in the field and aerial based platforms (Araus et al 2018). Root system architecture (RSA) phenotyping in situ is challenging, RADIX (a rhizoslide platform used to screen the shoots and roots). Application of plant phenotyping methods as a part of breeding programs has developed into an important research tool that facilitates breeders to develop cultivars with higher adaptability under different environmental conditions. Remote sensing with Unmanned Aerial Vehicles (UAVs ) has emerged as highly efficient and accurate used to determine crop performance and biomass estimation. Current advanced techniques include thermal, near-infrared sensing, fluorescence imaging, 3D scanning, RGB imaging, multispectral and hyperspectral sensing are lucratively used for plant growth and development identifcation, quantification and monitoring; disease monitoring and abiotic stress tolerance. The integration of crop functional structure with remote sensing, geography information systems, GPS technologies, cloud computing, decision support systems will promote the development of digital agriculture and provide technical support for modern agriculture (Song et al. 2021). The robust and user-friendly post-processing and analysis tools for processing and interpreting raw data are urgently needed and should be improved (Yang et al. 2020). ]]> Sun, 04 Sep 2022 06:41:53 GMT /slideshow/high-throughput-plant-phenotyping-in-crop-improvement/252820480 KHUSHBU776570@slideshare.net(KHUSHBU776570) High Throughput Plant Phenotyping in Crop Improvement KHUSHBU776570 Plant phenomics is a high-throughput path-breaking area that meets all the requirements for the collection of accurate, rapid and multi-faceted phenotypic data. Traditional phenotyping tools are generally low-throughput, labor-intensive, which limits high efficiency and are prone to human error (Atefi et al. 2021). High throughput phenomics (HTP) technologies are essential to avoid human error and to reduce time consumption while phenotyping large germplasm populations (Pasala and Pandey, 2020). HTP is an emerging area with numerous applications that combines plant biology, sensing technology and robotics aiding crop improvement programs. Plant phenomics is the study of plant growth, performance and composition. (Atefi et al. 2021) Forward phenomics uses phenotyping tools to discriminate the useful germplasm having desirable traits among a collection of germplasm. This leads to identification of the best of the best germplasm. Thus in reverse phenomics, we discover mechanisms which make best varieties the best (Jitender et al. 2015). High Throughput Plant Phenotyping under three scenarios: greenhouses and growth chambers under strictly controlled conditions; ground-based proximal phenotyping in the field and aerial based platforms (Araus et al 2018). Root system architecture (RSA) phenotyping in situ is challenging, RADIX (a rhizoslide platform used to screen the shoots and roots). Application of plant phenotyping methods as a part of breeding programs has developed into an important research tool that facilitates breeders to develop cultivars with higher adaptability under different environmental conditions. Remote sensing with Unmanned Aerial Vehicles (UAVs ) has emerged as highly efficient and accurate used to determine crop performance and biomass estimation. Current advanced techniques include thermal, near-infrared sensing, fluorescence imaging, 3D scanning, RGB imaging, multispectral and hyperspectral sensing are lucratively used for plant growth and development identifcation, quantification and monitoring; disease monitoring and abiotic stress tolerance. The integration of crop functional structure with remote sensing, geography information systems, GPS technologies, cloud computing, decision support systems will promote the development of digital agriculture and provide technical support for modern agriculture (Song et al. 2021). The robust and user-friendly post-processing and analysis tools for processing and interpreting raw data are urgently needed and should be improved (Yang et al. 2020). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/majorseminar-220904064153-a63f2d00-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Plant phenomics is a high-throughput path-breaking area that meets all the requirements for the collection of accurate, rapid and multi-faceted phenotypic data. Traditional phenotyping tools are generally low-throughput, labor-intensive, which limits high efficiency and are prone to human error (Atefi et al. 2021). High throughput phenomics (HTP) technologies are essential to avoid human error and to reduce time consumption while phenotyping large germplasm populations (Pasala and Pandey, 2020). HTP is an emerging area with numerous applications that combines plant biology, sensing technology and robotics aiding crop improvement programs. Plant phenomics is the study of plant growth, performance and composition. (Atefi et al. 2021) Forward phenomics uses phenotyping tools to discriminate the useful germplasm having desirable traits among a collection of germplasm. This leads to identification of the best of the best germplasm. Thus in reverse phenomics, we discover mechanisms which make best varieties the best (Jitender et al. 2015). High Throughput Plant Phenotyping under three scenarios: greenhouses and growth chambers under strictly controlled conditions; ground-based proximal phenotyping in the field and aerial based platforms (Araus et al 2018). Root system architecture (RSA) phenotyping in situ is challenging, RADIX (a rhizoslide platform used to screen the shoots and roots). Application of plant phenotyping methods as a part of breeding programs has developed into an important research tool that facilitates breeders to develop cultivars with higher adaptability under different environmental conditions. Remote sensing with Unmanned Aerial Vehicles (UAVs ) has emerged as highly efficient and accurate used to determine crop performance and biomass estimation. Current advanced techniques include thermal, near-infrared sensing, fluorescence imaging, 3D scanning, RGB imaging, multispectral and hyperspectral sensing are lucratively used for plant growth and development identifcation, quantification and monitoring; disease monitoring and abiotic stress tolerance. The integration of crop functional structure with remote sensing, geography information systems, GPS technologies, cloud computing, decision support systems will promote the development of digital agriculture and provide technical support for modern agriculture (Song et al. 2021). The robust and user-friendly post-processing and analysis tools for processing and interpreting raw data are urgently needed and should be improved (Yang et al. 2020).
High Throughput Plant Phenotyping in Crop Improvement from Khushbu
]]> 653 0 https://cdn.slidesharecdn.com/ss_thumbnails/majorseminar-220904064153-a63f2d00-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Marker Assisted Selection /slideshow/marker-assisted-selectionpptx/252362472 markerassistedselection-220729165625-6e6ebefc
Marker assisted selection is the breeding strategy in which selection for a gene is based on molecular markers closely linked to the gene of interest rather than the gene itself, and the markers are used to monitor the incorporation of the desirable allele from the donor source. Selection of a genotype carrying desirable gene via linked marker (s) is called Marker Assisted Selection. MAS can be applied to possible to use this kind of information. The prerequisites for the classical procedure of MAS are the tight linkage between molecular marker and gene of interest and high heritability of the gene of interest. It is noteworthy that the quality and the number of markers have a major impact on the success of MAS. The quality of markers relates to their characteristics and to the cost and the efficiency of the genotyping process. The number of markers affects the reliability of the linkage between them and the gene(s). In other words, screening a large number of markers has the potential to identify close and reliable linkage between the marker and the gene of interest. MAS has greater potential for efficient gene pyramiding combining several important genes in one cultivar. MAS is gaining considerable importance as it can improve the efficiency of plant breeding through precise transfer of genomic regions of interest and acceleration of the recovery of the recurrent parent genome. Marker-assisted selection is gaining considerable importance as it would improve the efficiency of plant breeding through precise transfer of genomic regions of interest (foreground selection) and accelerating the recovery of the recurrent parent genome (background selection). The use of MAS in crop improvement will not only reduce the cost of developing new varieties but will also increase the precision and efficiency of selection in the breeding program as well as lessen the number of years required to come up with a new crop variety. ]]>
Marker assisted selection is the breeding strategy in which selection for a gene is based on molecular markers closely linked to the gene of interest rather than the gene itself, and the markers are used to monitor the incorporation of the desirable allele from the donor source. Selection of a genotype carrying desirable gene via linked marker (s) is called Marker Assisted Selection. MAS can be applied to possible to use this kind of information. The prerequisites for the classical procedure of MAS are the tight linkage between molecular marker and gene of interest and high heritability of the gene of interest. It is noteworthy that the quality and the number of markers have a major impact on the success of MAS. The quality of markers relates to their characteristics and to the cost and the efficiency of the genotyping process. The number of markers affects the reliability of the linkage between them and the gene(s). In other words, screening a large number of markers has the potential to identify close and reliable linkage between the marker and the gene of interest. MAS has greater potential for efficient gene pyramiding combining several important genes in one cultivar. MAS is gaining considerable importance as it can improve the efficiency of plant breeding through precise transfer of genomic regions of interest and acceleration of the recovery of the recurrent parent genome. Marker-assisted selection is gaining considerable importance as it would improve the efficiency of plant breeding through precise transfer of genomic regions of interest (foreground selection) and accelerating the recovery of the recurrent parent genome (background selection). The use of MAS in crop improvement will not only reduce the cost of developing new varieties but will also increase the precision and efficiency of selection in the breeding program as well as lessen the number of years required to come up with a new crop variety. ]]> Fri, 29 Jul 2022 16:56:25 GMT /slideshow/marker-assisted-selectionpptx/252362472 KHUSHBU776570@slideshare.net(KHUSHBU776570) Marker Assisted Selection KHUSHBU776570 Marker assisted selection is the breeding strategy in which selection for a gene is based on molecular markers closely linked to the gene of interest rather than the gene itself, and the markers are used to monitor the incorporation of the desirable allele from the donor source. Selection of a genotype carrying desirable gene via linked marker (s) is called Marker Assisted Selection. MAS can be applied to possible to use this kind of information. The prerequisites for the classical procedure of MAS are the tight linkage between molecular marker and gene of interest and high heritability of the gene of interest. It is noteworthy that the quality and the number of markers have a major impact on the success of MAS. The quality of markers relates to their characteristics and to the cost and the efficiency of the genotyping process. The number of markers affects the reliability of the linkage between them and the gene(s). In other words, screening a large number of markers has the potential to identify close and reliable linkage between the marker and the gene of interest. MAS has greater potential for efficient gene pyramiding combining several important genes in one cultivar. MAS is gaining considerable importance as it can improve the efficiency of plant breeding through precise transfer of genomic regions of interest and acceleration of the recovery of the recurrent parent genome. Marker-assisted selection is gaining considerable importance as it would improve the efficiency of plant breeding through precise transfer of genomic regions of interest (foreground selection) and accelerating the recovery of the recurrent parent genome (background selection). The use of MAS in crop improvement will not only reduce the cost of developing new varieties but will also increase the precision and efficiency of selection in the breeding program as well as lessen the number of years required to come up with a new crop variety. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/markerassistedselection-220729165625-6e6ebefc-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Marker assisted selection is the breeding strategy in which selection for a gene is based on molecular markers closely linked to the gene of interest rather than the gene itself, and the markers are used to monitor the incorporation of the desirable allele from the donor source. Selection of a genotype carrying desirable gene via linked marker (s) is called Marker Assisted Selection. MAS can be applied to possible to use this kind of information. The prerequisites for the classical procedure of MAS are the tight linkage between molecular marker and gene of interest and high heritability of the gene of interest. It is noteworthy that the quality and the number of markers have a major impact on the success of MAS. The quality of markers relates to their characteristics and to the cost and the efficiency of the genotyping process. The number of markers affects the reliability of the linkage between them and the gene(s). In other words, screening a large number of markers has the potential to identify close and reliable linkage between the marker and the gene of interest. MAS has greater potential for efficient gene pyramiding combining several important genes in one cultivar. MAS is gaining considerable importance as it can improve the efficiency of plant breeding through precise transfer of genomic regions of interest and acceleration of the recovery of the recurrent parent genome. Marker-assisted selection is gaining considerable importance as it would improve the efficiency of plant breeding through precise transfer of genomic regions of interest (foreground selection) and accelerating the recovery of the recurrent parent genome (background selection). The use of MAS in crop improvement will not only reduce the cost of developing new varieties but will also increase the precision and efficiency of selection in the breeding program as well as lessen the number of years required to come up with a new crop variety.
Marker Assisted Selection from Khushbu
]]> 1060 0 https://cdn.slidesharecdn.com/ss_thumbnails/markerassistedselection-220729165625-6e6ebefc-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://public.slidesharecdn.com/v2/images/profile-picture.png khushbubariya7@gmail.com https://cdn.slidesharecdn.com/ss_thumbnails/majorseminar-220904064153-a63f2d00-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/high-throughput-plant-phenotyping-in-crop-improvement/252820480 High Throughput Plant ... https://cdn.slidesharecdn.com/ss_thumbnails/markerassistedselection-220729165625-6e6ebefc-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/marker-assisted-selectionpptx/252362472 Marker Assisted Selection