The Experts below are selected from a list of 5880 Experts worldwide ranked by ideXlab platform
Michael Quinn - One of the best experts on this subject based on the ideXlab platform.
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enhancing the rate of genetic gain in public sector plant breeding programs lessons from the breeder s equation
Theoretical and Applied Genetics, 2019Co-Authors: Joshua N Cobb, Roselyne U Juma, Partha S Biswas, Juan David Arbelaez, Jessica Rutkoski, G N Atlin, Tom Hagen, Michael QuinnAbstract:Key message The integration of new technologies into public plant breeding programs can make a powerful step change in agricultural productivity when aligned with principles of quantitative and Mendelian Genetics.
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Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder’s equation
Theoretical and Applied Genetics, 2019Co-Authors: Joshua N Cobb, Roselyne U Juma, Partha S Biswas, Juan David Arbelaez, Jessica Rutkoski, G N Atlin, Tom Hagen, Michael QuinnAbstract:Key message The integration of new technologies into public plant breeding programs can make a powerful step change in agricultural productivity when aligned with principles of quantitative and Mendelian Genetics.
Partha S Biswas - One of the best experts on this subject based on the ideXlab platform.
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enhancing the rate of genetic gain in public sector plant breeding programs lessons from the breeder s equation
Theoretical and Applied Genetics, 2019Co-Authors: Joshua N Cobb, Roselyne U Juma, Partha S Biswas, Juan David Arbelaez, Jessica Rutkoski, G N Atlin, Tom Hagen, Michael QuinnAbstract:Key message The integration of new technologies into public plant breeding programs can make a powerful step change in agricultural productivity when aligned with principles of quantitative and Mendelian Genetics.
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Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder’s equation
Theoretical and Applied Genetics, 2019Co-Authors: Joshua N Cobb, Roselyne U Juma, Partha S Biswas, Juan David Arbelaez, Jessica Rutkoski, G N Atlin, Tom Hagen, Michael QuinnAbstract:Key message The integration of new technologies into public plant breeding programs can make a powerful step change in agricultural productivity when aligned with principles of quantitative and Mendelian Genetics.
Joshua N Cobb - One of the best experts on this subject based on the ideXlab platform.
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enhancing the rate of genetic gain in public sector plant breeding programs lessons from the breeder s equation
Theoretical and Applied Genetics, 2019Co-Authors: Joshua N Cobb, Roselyne U Juma, Partha S Biswas, Juan David Arbelaez, Jessica Rutkoski, G N Atlin, Tom Hagen, Michael QuinnAbstract:Key message The integration of new technologies into public plant breeding programs can make a powerful step change in agricultural productivity when aligned with principles of quantitative and Mendelian Genetics.
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Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder’s equation
Theoretical and Applied Genetics, 2019Co-Authors: Joshua N Cobb, Roselyne U Juma, Partha S Biswas, Juan David Arbelaez, Jessica Rutkoski, G N Atlin, Tom Hagen, Michael QuinnAbstract:Key message The integration of new technologies into public plant breeding programs can make a powerful step change in agricultural productivity when aligned with principles of quantitative and Mendelian Genetics.
Masahiro Yano - One of the best experts on this subject based on the ideXlab platform.
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Genetic control of flowering time in rice: integration of Mendelian Genetics and genomics
Theoretical and Applied Genetics, 2016Co-Authors: Kiyosumi Hori, Kazuki Matsubara, Masahiro YanoAbstract:Key message Integration of previous Mendelian genetic analyses and recent molecular genomics approaches, such as linkage mapping and QTL cloning, dramatically strengthened our current understanding of genetic control of rice flowering time. Abstract Flowering time is one of the most important agronomic traits for seed production in rice ( Oryza sativa L.). It is controlled mainly by genes associated with photoperiod sensitivity, particularly in short-day plants such as rice. Since the early twentieth century, rice breeders and researchers have been interested in elucidating the genetic basis of flowering time because its modification is important for regional adaptation and yield optimization. Although flowering time is a complex trait controlled by many quantitative trait loci (QTLs), classical genetic studies have shown that many associated genes are inherited in accordance with Mendelian laws. Decoding the rice genome sequence opened a new era in understanding the genetic control of flowering time on the basis of genome-wide mapping and gene cloning. Heading date 1 ( Hd1 ) was the first flowering time QTL to be isolated using natural variation in rice. Recent accumulation of information on rice genome has facilitated the cloning of other QTLs, including those with minor effects on flowering time. This information has allowed us to rediscover some of the flowering genes that were identified by classical Mendelian Genetics. The genes characterized so far, including Hd1 , have been assigned to specific photoperiod pathways. In this review, we provide an overview of the studies that led to an in-depth understanding of the genetic control of flowering time in rice, and of the current state of improving and fine-tuning this trait for rice breeding.
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Genetic control of flowering time in rice: integration of Mendelian Genetics and genomics
Theoretical and Applied Genetics, 2016Co-Authors: Kiyosumi Hori, Kazuki Matsubara, Masahiro YanoAbstract:Integration of previous Mendelian genetic analyses and recent molecular genomics approaches, such as linkage mapping and QTL cloning, dramatically strengthened our current understanding of genetic control of rice flowering time. Flowering time is one of the most important agronomic traits for seed production in rice (Oryza sativa L.). It is controlled mainly by genes associated with photoperiod sensitivity, particularly in short-day plants such as rice. Since the early twentieth century, rice breeders and researchers have been interested in elucidating the genetic basis of flowering time because its modification is important for regional adaptation and yield optimization. Although flowering time is a complex trait controlled by many quantitative trait loci (QTLs), classical genetic studies have shown that many associated genes are inherited in accordance with Mendelian laws. Decoding the rice genome sequence opened a new era in understanding the genetic control of flowering time on the basis of genome-wide mapping and gene cloning. Heading date 1 (Hd1) was the first flowering time QTL to be isolated using natural variation in rice. Recent accumulation of information on rice genome has facilitated the cloning of other QTLs, including those with minor effects on flowering time. This information has allowed us to rediscover some of the flowering genes that were identified by classical Mendelian Genetics. The genes characterized so far, including Hd1, have been assigned to specific photoperiod pathways. In this review, we provide an overview of the studies that led to an in-depth understanding of the genetic control of flowering time in rice, and of the current state of improving and fine-tuning this trait for rice breeding.
Tom Hagen - One of the best experts on this subject based on the ideXlab platform.
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enhancing the rate of genetic gain in public sector plant breeding programs lessons from the breeder s equation
Theoretical and Applied Genetics, 2019Co-Authors: Joshua N Cobb, Roselyne U Juma, Partha S Biswas, Juan David Arbelaez, Jessica Rutkoski, G N Atlin, Tom Hagen, Michael QuinnAbstract:Key message The integration of new technologies into public plant breeding programs can make a powerful step change in agricultural productivity when aligned with principles of quantitative and Mendelian Genetics.
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Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder’s equation
Theoretical and Applied Genetics, 2019Co-Authors: Joshua N Cobb, Roselyne U Juma, Partha S Biswas, Juan David Arbelaez, Jessica Rutkoski, G N Atlin, Tom Hagen, Michael QuinnAbstract:Key message The integration of new technologies into public plant breeding programs can make a powerful step change in agricultural productivity when aligned with principles of quantitative and Mendelian Genetics.