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J W Stansel - One of the best experts on this subject based on the ideXlab platform.
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overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice ii grain Yield Components
Genetics, 2001Co-Authors: Andrew H Paterson, J W Stansel, Zhikang Li, Rodante E Tabien, D B Zhong, C S Ying, G S KhushAbstract:The genetic basis underlying inbreeding depression and heterosis for three grain Yield Components of rice was investigated in five interrelated mapping populations using a complete RFLP linkage map, replicated phenotyping, and the mixed model approach. The populations included 254 F 10 recombinant inbred lines (RILs) derived from a cross between Lemont (japonica) and Teqing (indica), two backcross (BC) and two testcross populations derived from crosses between the RILs and the parents plus two testers (Zhong413 and IR64). For the Yield Components, the RILs showed significant inbreeding depression and hybrid breakdown, and the BC and testcross populations showed high levels of heterosis. The average performance of the BC or testcross hybrids was largely determined by heterosis. The inbreeding depression values of individual RILs were negatively associated with the heterosis measurements of the BC or testcross hybrids. We identified many epistatic QTL pairs and a few main-effect QTL responsible for >65% of the phenotypic variation of the Yield Components in each of the populations. Most epistasis occurred between complementary loci, suggesting that grain Yield Components were associated more with multilocus genotypes than with specific alleles at individual loci. Overdominance was also an important property of most loci associated with heterosis, particularly for panicles per plant and grains per panicle. Two independent groups of genes appeared to affect grain weight: one showing primarily nonadditive gene action explained 62.1% of the heterotic variation of the trait, and the other exhibiting only additive gene action accounted for 28.1% of the total trait variation of the F 1 mean values. We found no evidence suggesting that pseudooverdominance from the repulsive linkage of completely or partially dominant QTL for Yield Components resulted in the overdominant QTL for grain Yield. Pronounced overdominance resulting from epistasis expressed by multilocus genotypes appeared to explain the long-standing dilemma of how inbreeding depression could arise from overdominant genes.
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epistasis for three grain Yield Components in rice oryza sativa l
Genetics, 1997Co-Authors: Shannon R M Pinson, William D Park, Andrew H Paterson, J W StanselAbstract:The genetic basis for three grain Yield Components of rice, 1000 kernel weight (KW), grain number per panicle (GN), and grain weight per panicle (GWP), was investigated using restriction fragment length polymorphism markers and F4 progency testing from a cross between rice subspecies japonica (cultivar Lemont from USA) and indica (cv. Tequing from China). Following identification of 19 QTL affecting these traits, we investigated the role of epistasis in genetic control of these phenotypes. Among 63 markers distributed throughout the genome that appeared to be involved in 79 highly significant (P < 0.001) interactions, most (46 or 73%) did not appear to have "main" effects on the relevant traits, but influenced the trait(s) predominantly through interactions. These results indicate that epistasis is an important genetic basis for complex traits such as Yield Components, especially traits of low heritability such as GN and GWP. The identification of epistatic loci is an important step toward resolution of discrepancies between quantitative trait loci mapping and classical genetic dogma, contributes to better understanding of the persistence of quantitative genetic variation in populations, and impels reconsideration of optimal mapping methodology and marker-assisted breeding strategies for improvement of complex traits.
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epistasis for three grain Yield Components in rice oryza sativa l
Genetics, 1997Co-Authors: Zhikang Li, Shannon R M Pinson, William D Park, Andrew H Paterson, J W StanselAbstract:The genetic basis for three grain Yield Components of rice, 1000 kernel weight (KW), grain number per panicle (GN), and grain weight per panicle (GWP), was investigated using restriction fragment length polymorphism markers and F 4 progeny testing from a cross between rice subspecies japonica (cultivar Lemont from USA) and indica (cv. Teqing from China). Following identification of 19 QTL affecting these traits, we investigated the role of epistasis in genetic control of these phenotypes. Among 63 markers distributed throughout the genome that appeared to be involved in 79 highly significant ( P
Andrew H Paterson - One of the best experts on this subject based on the ideXlab platform.
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overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice ii grain Yield Components
Genetics, 2001Co-Authors: Andrew H Paterson, J W Stansel, Zhikang Li, Rodante E Tabien, D B Zhong, C S Ying, G S KhushAbstract:The genetic basis underlying inbreeding depression and heterosis for three grain Yield Components of rice was investigated in five interrelated mapping populations using a complete RFLP linkage map, replicated phenotyping, and the mixed model approach. The populations included 254 F 10 recombinant inbred lines (RILs) derived from a cross between Lemont (japonica) and Teqing (indica), two backcross (BC) and two testcross populations derived from crosses between the RILs and the parents plus two testers (Zhong413 and IR64). For the Yield Components, the RILs showed significant inbreeding depression and hybrid breakdown, and the BC and testcross populations showed high levels of heterosis. The average performance of the BC or testcross hybrids was largely determined by heterosis. The inbreeding depression values of individual RILs were negatively associated with the heterosis measurements of the BC or testcross hybrids. We identified many epistatic QTL pairs and a few main-effect QTL responsible for >65% of the phenotypic variation of the Yield Components in each of the populations. Most epistasis occurred between complementary loci, suggesting that grain Yield Components were associated more with multilocus genotypes than with specific alleles at individual loci. Overdominance was also an important property of most loci associated with heterosis, particularly for panicles per plant and grains per panicle. Two independent groups of genes appeared to affect grain weight: one showing primarily nonadditive gene action explained 62.1% of the heterotic variation of the trait, and the other exhibiting only additive gene action accounted for 28.1% of the total trait variation of the F 1 mean values. We found no evidence suggesting that pseudooverdominance from the repulsive linkage of completely or partially dominant QTL for Yield Components resulted in the overdominant QTL for grain Yield. Pronounced overdominance resulting from epistasis expressed by multilocus genotypes appeared to explain the long-standing dilemma of how inbreeding depression could arise from overdominant genes.
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epistasis for three grain Yield Components in rice oryza sativa l
Genetics, 1997Co-Authors: Shannon R M Pinson, William D Park, Andrew H Paterson, J W StanselAbstract:The genetic basis for three grain Yield Components of rice, 1000 kernel weight (KW), grain number per panicle (GN), and grain weight per panicle (GWP), was investigated using restriction fragment length polymorphism markers and F4 progency testing from a cross between rice subspecies japonica (cultivar Lemont from USA) and indica (cv. Tequing from China). Following identification of 19 QTL affecting these traits, we investigated the role of epistasis in genetic control of these phenotypes. Among 63 markers distributed throughout the genome that appeared to be involved in 79 highly significant (P < 0.001) interactions, most (46 or 73%) did not appear to have "main" effects on the relevant traits, but influenced the trait(s) predominantly through interactions. These results indicate that epistasis is an important genetic basis for complex traits such as Yield Components, especially traits of low heritability such as GN and GWP. The identification of epistatic loci is an important step toward resolution of discrepancies between quantitative trait loci mapping and classical genetic dogma, contributes to better understanding of the persistence of quantitative genetic variation in populations, and impels reconsideration of optimal mapping methodology and marker-assisted breeding strategies for improvement of complex traits.
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epistasis for three grain Yield Components in rice oryza sativa l
Genetics, 1997Co-Authors: Zhikang Li, Shannon R M Pinson, William D Park, Andrew H Paterson, J W StanselAbstract:The genetic basis for three grain Yield Components of rice, 1000 kernel weight (KW), grain number per panicle (GN), and grain weight per panicle (GWP), was investigated using restriction fragment length polymorphism markers and F 4 progeny testing from a cross between rice subspecies japonica (cultivar Lemont from USA) and indica (cv. Teqing from China). Following identification of 19 QTL affecting these traits, we investigated the role of epistasis in genetic control of these phenotypes. Among 63 markers distributed throughout the genome that appeared to be involved in 79 highly significant ( P
Zhikang Li - One of the best experts on this subject based on the ideXlab platform.
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overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice ii grain Yield Components
Genetics, 2001Co-Authors: Andrew H Paterson, J W Stansel, Zhikang Li, Rodante E Tabien, D B Zhong, C S Ying, G S KhushAbstract:The genetic basis underlying inbreeding depression and heterosis for three grain Yield Components of rice was investigated in five interrelated mapping populations using a complete RFLP linkage map, replicated phenotyping, and the mixed model approach. The populations included 254 F 10 recombinant inbred lines (RILs) derived from a cross between Lemont (japonica) and Teqing (indica), two backcross (BC) and two testcross populations derived from crosses between the RILs and the parents plus two testers (Zhong413 and IR64). For the Yield Components, the RILs showed significant inbreeding depression and hybrid breakdown, and the BC and testcross populations showed high levels of heterosis. The average performance of the BC or testcross hybrids was largely determined by heterosis. The inbreeding depression values of individual RILs were negatively associated with the heterosis measurements of the BC or testcross hybrids. We identified many epistatic QTL pairs and a few main-effect QTL responsible for >65% of the phenotypic variation of the Yield Components in each of the populations. Most epistasis occurred between complementary loci, suggesting that grain Yield Components were associated more with multilocus genotypes than with specific alleles at individual loci. Overdominance was also an important property of most loci associated with heterosis, particularly for panicles per plant and grains per panicle. Two independent groups of genes appeared to affect grain weight: one showing primarily nonadditive gene action explained 62.1% of the heterotic variation of the trait, and the other exhibiting only additive gene action accounted for 28.1% of the total trait variation of the F 1 mean values. We found no evidence suggesting that pseudooverdominance from the repulsive linkage of completely or partially dominant QTL for Yield Components resulted in the overdominant QTL for grain Yield. Pronounced overdominance resulting from epistasis expressed by multilocus genotypes appeared to explain the long-standing dilemma of how inbreeding depression could arise from overdominant genes.
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epistasis for three grain Yield Components in rice oryza sativa l
Genetics, 1997Co-Authors: Zhikang Li, Shannon R M Pinson, William D Park, Andrew H Paterson, J W StanselAbstract:The genetic basis for three grain Yield Components of rice, 1000 kernel weight (KW), grain number per panicle (GN), and grain weight per panicle (GWP), was investigated using restriction fragment length polymorphism markers and F 4 progeny testing from a cross between rice subspecies japonica (cultivar Lemont from USA) and indica (cv. Teqing from China). Following identification of 19 QTL affecting these traits, we investigated the role of epistasis in genetic control of these phenotypes. Among 63 markers distributed throughout the genome that appeared to be involved in 79 highly significant ( P
Javier Tardáguila - One of the best experts on this subject based on the ideXlab platform.
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assessment of grape cluster Yield Components based on 3d descriptors using stereo vision
Food Control, 2015Co-Authors: Eugenio Ivorra, Maria P. Diago, Antonio Sanchez, J G Camarasa, Javier TardáguilaAbstract:Abstract Wine quality depends mostly on the features of the grapes it is made from. Cluster and berry morphology are key factors in determining grape and wine quality. However, current practices for grapevine quality estimation require time-consuming destructive analysis or largely subjective judgment by experts. The purpose of this paper is to propose a three-dimensional computer vision approach to assessing grape Yield Components based on new 3D descriptors. To achieve this, firstly a partial three-dimensional model of the grapevine cluster is extracted using stereo vision. After that a number of grapevine quality Components are predicted using SVM models based on new 3D descriptors. Experiments confirm that this approach is capable of predicting the main cluster Yield Components, which are related to quality, such as cluster compactness and berry size ( R 2 > 0.80, p R 2 of 0.82, 0.83 and 0.71, respectively.
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Assessment of cluster Yield Components by image analysis.
Journal of the science of food and agriculture, 2014Co-Authors: Maria P. Diago, Javier Tardáguila, Nuria Aleixos, Borja Millan, José Manuel Prats-montalbán, Sergio Cubero, José BlascoAbstract:BACKGROUND: Berry weight, berry number and cluster weight are key parameters for Yield estimation for wine and tablegrape industry. Current Yield prediction methods are destructive, labour-demanding and time-consuming. In this work, a new methodology, based on image analysis was developed to determine cluster Yield Components in a fast and inexpensive way. RESULTS: Clusters of seven different red varieties of grapevine (Vitis vinifera L.) were photographed under laboratory conditions and their cluster Yield Components manually determined after image acquisition. Two algorithms based on the Canny and the logarithmic image processing approaches were tested to find the contours of the berries in the images prior to berry detection performed by means of the Hough Transform. Results were obtained in two ways: by analysing either a single image of the cluster or using four images per cluster from different orientations. The best results (R 2 between 69% and 95% in berry detection and between 65% and 97% in cluster weight estimation) were achieved using four images and the Canny algorithm. The model’s capability based on image analysis to predict berry weight was 84%. CONCLUSION: The new and low-cost methodology presented here enabled the assessment of cluster Yield Components, saving time and providing inexpensive information in comparison with current manual methods. © 2014 Society of Chemical Industry
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variations of soil properties affect the vegetative growth and Yield Components of tempranillo grapevines
Precision Agriculture, 2011Co-Authors: Javier Tardáguila, Javier Baluja, L Arpon, Pedro Balda, Manuel OliveiraAbstract:To obtain the best must quality, winegrowers must harvest uniform batches of grapes, thus they might define sub-units of the vineyard and treat them as separate management units for cultivation and harvest. The objectives of this work were to determine if there were variations of soil properties that could be arranged into different units of relative uniformity and separated from each other by discrete boundaries, and if there was a significant relationship between those units and the vegetative development and Yield Components of the grapevines. A soil index that is a linear combination of four soil characteristics was constructed and an interpolation method allowed the definition of soil areas with relative uniformity. These areas were significantly correlated with the vine growth that, in turn, had a significant correlation with the Yield Components of the vines. This methodology might prove useful to define areas within vineyards where the vegetative development and Yields warrant a differentiated management within the vineyard.
Shannon R M Pinson - One of the best experts on this subject based on the ideXlab platform.
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epistasis for three grain Yield Components in rice oryza sativa l
Genetics, 1997Co-Authors: Shannon R M Pinson, William D Park, Andrew H Paterson, J W StanselAbstract:The genetic basis for three grain Yield Components of rice, 1000 kernel weight (KW), grain number per panicle (GN), and grain weight per panicle (GWP), was investigated using restriction fragment length polymorphism markers and F4 progency testing from a cross between rice subspecies japonica (cultivar Lemont from USA) and indica (cv. Tequing from China). Following identification of 19 QTL affecting these traits, we investigated the role of epistasis in genetic control of these phenotypes. Among 63 markers distributed throughout the genome that appeared to be involved in 79 highly significant (P < 0.001) interactions, most (46 or 73%) did not appear to have "main" effects on the relevant traits, but influenced the trait(s) predominantly through interactions. These results indicate that epistasis is an important genetic basis for complex traits such as Yield Components, especially traits of low heritability such as GN and GWP. The identification of epistatic loci is an important step toward resolution of discrepancies between quantitative trait loci mapping and classical genetic dogma, contributes to better understanding of the persistence of quantitative genetic variation in populations, and impels reconsideration of optimal mapping methodology and marker-assisted breeding strategies for improvement of complex traits.
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epistasis for three grain Yield Components in rice oryza sativa l
Genetics, 1997Co-Authors: Zhikang Li, Shannon R M Pinson, William D Park, Andrew H Paterson, J W StanselAbstract:The genetic basis for three grain Yield Components of rice, 1000 kernel weight (KW), grain number per panicle (GN), and grain weight per panicle (GWP), was investigated using restriction fragment length polymorphism markers and F 4 progeny testing from a cross between rice subspecies japonica (cultivar Lemont from USA) and indica (cv. Teqing from China). Following identification of 19 QTL affecting these traits, we investigated the role of epistasis in genetic control of these phenotypes. Among 63 markers distributed throughout the genome that appeared to be involved in 79 highly significant ( P
