The Experts below are selected from a list of 216198 Experts worldwide ranked by ideXlab platform
Nicolas Pouilly - One of the best experts on this subject based on the ideXlab platform.
-
genetic control of plasticity of oil yield for combined abiotic stresses using a Joint Approach of crop modelling and genome wide association
Plant Cell and Environment, 2017Co-Authors: Brigitte Mangin, Nicolas Blanchet, Elena Cadic, Ludovic Legrand, Baptiste Mayjonade, Pierre Casadebaig, Marieclaude Boniface, Sebastien Carrere, Jerome Gouzy, Nicolas PouillyAbstract:Understanding the genetic basis of phenotypic plasticity is crucial for predicting and managing climate change effects on wild plants and crops. Here, we combined crop modelling and quantitative genetics to study the genetic control of oil yield plasticity for multiple abiotic stresses in sunflower. First, we developed stress indicators to characterize 14 environments for three abiotic stresses (cold, drought and nitrogen) using the SUNFLO crop model and phenotypic variations of three commercial varieties. The computed plant stress indicators better explain yield variation than descriptors at the climatic or crop levels. In those environments, we observed oil yield of 317 sunflower hybrids and regressed it with three selected stress indicators. The slopes of cold stress norm reaction were used as plasticity phenotypes in the following genome-wide association study. Among the 65 534 tested Single Nucleotide Polymorphisms (SNPs), we identified nine quantitative trait loci controlling oil yield plasticity to cold stress. Associated single nucleotide polymorphisms are localized in genes previously shown to be involved in cold stress responses: oligopeptide transporters, lipid transfer protein, cystatin, alternative oxidase or root development. This novel Approach opens new perspectives to identify genomic regions involved in genotype-by-environment interaction of a complex traits to multiple stresses in realistic natural or agronomical conditions.
-
Genetic control of plasticity of oil yield for combined abiotic stresses using a Joint Approach of crop modeling and genome-wide association
Plant Cell and Environment, 2017Co-Authors: Brigitte Mangin, Nicolas Blanchet, Elena Cadic, Ludovic Legrand, Baptiste Mayjonade, Pierre Casadebaig, Marieclaude Boniface, Sebastien Carrere, Jerome Gouzy, Nicolas PouillyAbstract:Understanding the genetic basis of phenotypic plasticity is crucial for predicting and managing climate change effects on wild plants and crops. Here, we combined crop modeling and quantitative genetics to study the genetic control of oil yield plasticity for multiple abiotic stresses in sunflower. First we developed stress indicators to characterize 14 environments for three abiotic stresses (cold, drought and nitrogen) using the SUNFLO crop model and phenotypic variations of three commercial varieties. The computed plant stress indicators better explain yield variation than descriptors at the climatic or crop levels. In those environments, we observed oil yield of 317 sunflower hybrids and regressed it with three selected stress indicators. The slopes of cold stress norm reaction were used as plasticity phenotypes in the following genome-wide association study. Among the 65,534 tested SNP, we identified nine QTL controlling oil yield plasticity to cold stress. Associated SNP are localized in genes previously shown to be involved in cold stress responses: oligopeptide transporters, LTP, cystatin, alternative oxidase, or root development. This novel Approach opens new perspectives to identify genomic regions involved in genotype-by-environment interaction of a complex traits to multiple stresses in realistic natural or agronomical conditions.
Frank M Candocia - One of the best experts on this subject based on the ideXlab platform.
-
a least squares Approach for the Joint domain and range registration of images
International Conference on Acoustics Speech and Signal Processing, 2002Co-Authors: Frank M CandociaAbstract:An Approach for Jointly registering images in domain and range using a least squares formalism is presented. This Joint Approach is in contrast to almost all current registration methods that only register images with respect to their domains and neglect accounting for exposure differences between images. The inclusion of range into the registration process is accomplished by approximating the camera's nonlinear comparametric function with a piecewise linear one. This results in a computationally attractive least squares Approach to an otherwise inherently nonlinear optimization problem. The effectiveness of this Approach is illustrated.
-
ICASSP - A least squares Approach for the Joint domain and range registration of images
IEEE International Conference on Acoustics Speech and Signal Processing, 2002Co-Authors: Frank M CandociaAbstract:An Approach for Jointly registering images in domain and range using a least squares formalism is presented. This Joint Approach is in contrast to almost all current registration methods that only register images with respect to their domains and neglect accounting for exposure differences between images. The inclusion of range into the registration process is accomplished by approximating the camera's nonlinear comparametric function with a piecewise linear one. This results in a computationally attractive least squares Approach to an otherwise inherently nonlinear optimization problem. The effectiveness of this Approach is illustrated.
Brigitte Mangin - One of the best experts on this subject based on the ideXlab platform.
-
genetic control of plasticity of oil yield for combined abiotic stresses using a Joint Approach of crop modelling and genome wide association
Plant Cell and Environment, 2017Co-Authors: Brigitte Mangin, Nicolas Blanchet, Elena Cadic, Ludovic Legrand, Baptiste Mayjonade, Pierre Casadebaig, Marieclaude Boniface, Sebastien Carrere, Jerome Gouzy, Nicolas PouillyAbstract:Understanding the genetic basis of phenotypic plasticity is crucial for predicting and managing climate change effects on wild plants and crops. Here, we combined crop modelling and quantitative genetics to study the genetic control of oil yield plasticity for multiple abiotic stresses in sunflower. First, we developed stress indicators to characterize 14 environments for three abiotic stresses (cold, drought and nitrogen) using the SUNFLO crop model and phenotypic variations of three commercial varieties. The computed plant stress indicators better explain yield variation than descriptors at the climatic or crop levels. In those environments, we observed oil yield of 317 sunflower hybrids and regressed it with three selected stress indicators. The slopes of cold stress norm reaction were used as plasticity phenotypes in the following genome-wide association study. Among the 65 534 tested Single Nucleotide Polymorphisms (SNPs), we identified nine quantitative trait loci controlling oil yield plasticity to cold stress. Associated single nucleotide polymorphisms are localized in genes previously shown to be involved in cold stress responses: oligopeptide transporters, lipid transfer protein, cystatin, alternative oxidase or root development. This novel Approach opens new perspectives to identify genomic regions involved in genotype-by-environment interaction of a complex traits to multiple stresses in realistic natural or agronomical conditions.
-
Genetic control of plasticity of oil yield for combined abiotic stresses using a Joint Approach of crop modeling and genome-wide association
Plant Cell and Environment, 2017Co-Authors: Brigitte Mangin, Nicolas Blanchet, Elena Cadic, Ludovic Legrand, Baptiste Mayjonade, Pierre Casadebaig, Marieclaude Boniface, Sebastien Carrere, Jerome Gouzy, Nicolas PouillyAbstract:Understanding the genetic basis of phenotypic plasticity is crucial for predicting and managing climate change effects on wild plants and crops. Here, we combined crop modeling and quantitative genetics to study the genetic control of oil yield plasticity for multiple abiotic stresses in sunflower. First we developed stress indicators to characterize 14 environments for three abiotic stresses (cold, drought and nitrogen) using the SUNFLO crop model and phenotypic variations of three commercial varieties. The computed plant stress indicators better explain yield variation than descriptors at the climatic or crop levels. In those environments, we observed oil yield of 317 sunflower hybrids and regressed it with three selected stress indicators. The slopes of cold stress norm reaction were used as plasticity phenotypes in the following genome-wide association study. Among the 65,534 tested SNP, we identified nine QTL controlling oil yield plasticity to cold stress. Associated SNP are localized in genes previously shown to be involved in cold stress responses: oligopeptide transporters, LTP, cystatin, alternative oxidase, or root development. This novel Approach opens new perspectives to identify genomic regions involved in genotype-by-environment interaction of a complex traits to multiple stresses in realistic natural or agronomical conditions.
Mourad Debbabi - One of the best experts on this subject based on the ideXlab platform.
-
QSIC - Targeting Security Vulnerabilities: From Specification to Detection (Short Paper)
2008 The Eighth International Conference on Quality Software, 2008Co-Authors: Aiman Hanna, Jason Furlong, Hai Zhou Ling, Zhenrong Yang, Mourad DebbabiAbstract:In this paper, we present a Joint Approach to automate software security testing using two Approaches, namely team edit automata (TEA), and the security chaining Approach. Team edit automata is used to formally specify the security properties to be tested. It also composes the monitoring engine of the vulnerability detection process. The security chaining Approach is used to generate test-data for the purpose of proving that a vulnerability is not only present in the software being tested but it is also exploitable. The combined Approach provides elements of a solution towards the automation of security testing of software.
-
Targeting Security Vulnerabilities: From Specification to Detection
2008Co-Authors: Aiman Hanna, Jason Furlong, Hai Zhou Ling, Zhenrong Yang, Mourad DebbabiAbstract:In this paper, we present a Joint Approach to automate software security testing using two Approaches, namely Team Edit Automata (TEA), and the Security Chaining Approach. Team Edit Automata is used to formally specify the security properties to be tested. It also composes the monitoring engine of the vulnerability detection process. The security chaining Approach is used to generate test-data for the purpose of proving that a vulnerability is not only present in the software being tested but it is also exploitable. The combined Approach provides elements of a solution towards the automation of security testing of software.
Nicolas Blanchet - One of the best experts on this subject based on the ideXlab platform.
-
genetic control of plasticity of oil yield for combined abiotic stresses using a Joint Approach of crop modelling and genome wide association
Plant Cell and Environment, 2017Co-Authors: Brigitte Mangin, Nicolas Blanchet, Elena Cadic, Ludovic Legrand, Baptiste Mayjonade, Pierre Casadebaig, Marieclaude Boniface, Sebastien Carrere, Jerome Gouzy, Nicolas PouillyAbstract:Understanding the genetic basis of phenotypic plasticity is crucial for predicting and managing climate change effects on wild plants and crops. Here, we combined crop modelling and quantitative genetics to study the genetic control of oil yield plasticity for multiple abiotic stresses in sunflower. First, we developed stress indicators to characterize 14 environments for three abiotic stresses (cold, drought and nitrogen) using the SUNFLO crop model and phenotypic variations of three commercial varieties. The computed plant stress indicators better explain yield variation than descriptors at the climatic or crop levels. In those environments, we observed oil yield of 317 sunflower hybrids and regressed it with three selected stress indicators. The slopes of cold stress norm reaction were used as plasticity phenotypes in the following genome-wide association study. Among the 65 534 tested Single Nucleotide Polymorphisms (SNPs), we identified nine quantitative trait loci controlling oil yield plasticity to cold stress. Associated single nucleotide polymorphisms are localized in genes previously shown to be involved in cold stress responses: oligopeptide transporters, lipid transfer protein, cystatin, alternative oxidase or root development. This novel Approach opens new perspectives to identify genomic regions involved in genotype-by-environment interaction of a complex traits to multiple stresses in realistic natural or agronomical conditions.
-
Genetic control of plasticity of oil yield for combined abiotic stresses using a Joint Approach of crop modeling and genome-wide association
Plant Cell and Environment, 2017Co-Authors: Brigitte Mangin, Nicolas Blanchet, Elena Cadic, Ludovic Legrand, Baptiste Mayjonade, Pierre Casadebaig, Marieclaude Boniface, Sebastien Carrere, Jerome Gouzy, Nicolas PouillyAbstract:Understanding the genetic basis of phenotypic plasticity is crucial for predicting and managing climate change effects on wild plants and crops. Here, we combined crop modeling and quantitative genetics to study the genetic control of oil yield plasticity for multiple abiotic stresses in sunflower. First we developed stress indicators to characterize 14 environments for three abiotic stresses (cold, drought and nitrogen) using the SUNFLO crop model and phenotypic variations of three commercial varieties. The computed plant stress indicators better explain yield variation than descriptors at the climatic or crop levels. In those environments, we observed oil yield of 317 sunflower hybrids and regressed it with three selected stress indicators. The slopes of cold stress norm reaction were used as plasticity phenotypes in the following genome-wide association study. Among the 65,534 tested SNP, we identified nine QTL controlling oil yield plasticity to cold stress. Associated SNP are localized in genes previously shown to be involved in cold stress responses: oligopeptide transporters, LTP, cystatin, alternative oxidase, or root development. This novel Approach opens new perspectives to identify genomic regions involved in genotype-by-environment interaction of a complex traits to multiple stresses in realistic natural or agronomical conditions.
