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• W3180376507 endingPage "1397" @default.
• W3180376507 startingPage "1397" @default.
• W3180376507 abstract "Modelling field spatial patterns is standard practice for the analysis of plant breeding. Jointly fitting the genetic relationship among individuals and spatial information enables better separability between the variance due to genetics and field variation. This study aims to quantify the accuracy and bias of estimative parameters using different approaches. We contrasted three settings for the genetic term: no relationship (I), pedigree relationship (A), and genomic relationship (G); and a set of approaches for the spatial variation: no-spatial (NS), moving average covariate (MA), row-column adjustment (RC), autoregressive AR1 × AR1 (AR), spatial stochastic partial differential equations, or SPDE (SD), nearest neighbor graph (NG), and Gaussian kernel (GK). Simulations were set to represent soybean field trials at F2:4 generation. Heritability was sampled from a uniform distribution U(0,1). The simulated residual-to-spatial ratio between residual variance and spatial variance (Ve:Vs) ranged from 9:1 to 1:9. Experimental settings were conducted under an augmented block design with the systematic distribution of checks accounting for 10% of the plots. Relationship information had a substantial impact on the accuracy of the genetic values (G > A > I) and contributed to the accuracy of spatial effects (30.63–42.27% improvement). Spatial models were ranked based on an improvement to the accuracy of estimative of genetic effects as SD ≥ GK ≥ AR ≥ NG ≥ MA > RC ≥ NS, and to the accuracy of estimative of spatial effects as GK ≥ SD ≥ NG > AR ≥ MA > RC. Estimates of genetic and spatial variance were generally biased downwards, whereas residual variances were biased upwards. The advent of relationship information reduced the bias of all variance components. Spatial methods SD, AR, and GK provided the least biased estimates of spatial and residual variance." @default.
• W3180376507 created "2021-07-19" @default.
• W3180376507 creator A5003123467 @default.
• W3180376507 creator A5016767883 @default.
• W3180376507 creator A5055236654 @default.
• W3180376507 date "2021-07-12" @default.
• W3180376507 modified "2023-10-03" @default.
• W3180376507 title "Joint Modeling of Genetics and Field Variation in Plant Breeding Trials Using Relationship and Different Spatial Methods: A Simulation Study of Accuracy and Bias" @default.
• W3180376507 cites W1607760198 @default.
• W3180376507 cites W1747046542 @default.
• W3180376507 cites W1837874438 @default.
• W3180376507 cites W1893001551 @default.
• W3180376507 cites W1935848495 @default.
• W3180376507 cites W1963742281 @default.
• W3180376507 cites W1966904199 @default.
• W3180376507 cites W1970428774 @default.
• W3180376507 cites W1974895942 @default.
• W3180376507 cites W1990551407 @default.
• W3180376507 cites W1991575408 @default.
• W3180376507 cites W1993338429 @default.
• W3180376507 cites W1993849755 @default.
• W3180376507 cites W1999398820 @default.
• W3180376507 cites W2005379275 @default.
• W3180376507 cites W2006975958 @default.
• W3180376507 cites W2007109135 @default.
• W3180376507 cites W2009558479 @default.
• W3180376507 cites W2012096024 @default.
• W3180376507 cites W2012986985 @default.
• W3180376507 cites W2016731619 @default.
• W3180376507 cites W2024418009 @default.
• W3180376507 cites W2029961401 @default.
• W3180376507 cites W2031626655 @default.
• W3180376507 cites W2034377271 @default.
• W3180376507 cites W2036619265 @default.
• W3180376507 cites W2038279432 @default.
• W3180376507 cites W2046152332 @default.
• W3180376507 cites W2056552310 @default.
• W3180376507 cites W2056743864 @default.
• W3180376507 cites W2058862560 @default.
• W3180376507 cites W2059503485 @default.
• W3180376507 cites W2060779580 @default.
• W3180376507 cites W2067715889 @default.
• W3180376507 cites W2072596762 @default.
• W3180376507 cites W2074984119 @default.
• W3180376507 cites W2083314553 @default.
• W3180376507 cites W2085005657 @default.
• W3180376507 cites W2094387389 @default.
• W3180376507 cites W2098417687 @default.
• W3180376507 cites W2101591547 @default.
• W3180376507 cites W2103347374 @default.
• W3180376507 cites W2117354404 @default.
• W3180376507 cites W2119372134 @default.
• W3180376507 cites W2127843966 @default.
• W3180376507 cites W2140278844 @default.
• W3180376507 cites W2144898279 @default.
• W3180376507 cites W2156020156 @default.
• W3180376507 cites W2157291679 @default.
• W3180376507 cites W2157433349 @default.
• W3180376507 cites W2165141658 @default.
• W3180376507 cites W2168141227 @default.
• W3180376507 cites W2179619108 @default.
• W3180376507 cites W2249808770 @default.
• W3180376507 cites W2319091472 @default.
• W3180376507 cites W2326982326 @default.
• W3180376507 cites W2327583954 @default.
• W3180376507 cites W2346778841 @default.
• W3180376507 cites W2404264876 @default.
• W3180376507 cites W2493392122 @default.
• W3180376507 cites W2521275485 @default.
• W3180376507 cites W2535768612 @default.
• W3180376507 cites W2550568080 @default.
• W3180376507 cites W2600596512 @default.
• W3180376507 cites W2605144985 @default.
• W3180376507 cites W2605285141 @default.
• W3180376507 cites W2615032961 @default.
• W3180376507 cites W2743404781 @default.
• W3180376507 cites W2762230902 @default.
• W3180376507 cites W2767730105 @default.
• W3180376507 cites W2793997912 @default.
• W3180376507 cites W2800181950 @default.
• W3180376507 cites W2904120151 @default.
• W3180376507 cites W2905272529 @default.
• W3180376507 cites W2930389570 @default.
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• W3180376507 cites W2973372676 @default.
• W3180376507 cites W2981861907 @default.
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• W3180376507 doi "https://doi.org/10.3390/agronomy11071397" @default.
• W3180376507 hasPublicationYear "2021" @default.
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