FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2323675279> ?p ?o ?g. }

• W2323675279 endingPage "511" @default.
• W2323675279 startingPage "499" @default.
• W2323675279 abstract "Genetic markers can be used in combination with ecophysiological crop models to predict the performance of genotypes. Crop models can estimate the contribution of individual markers to crop performance in given environments. The objectives of this study were to explore the use of crop models to design markers and virtual ideotypes for improving yields of rice (Oryza sativa) under drought stress.Using the model GECROS, crop yield was dissected into seven easily measured parameters. Loci for these parameters were identified for a rice population of 94 introgression lines (ILs) derived from two parents differing in drought tolerance. Marker-based values of ILs for each of these parameters were estimated from additive allele effects of the loci, and were fed to the model in order to simulate yields of the ILs grown under well-watered and drought conditions and in order to design virtual ideotypes for those conditions.To account for genotypic yield differences, it was necessary to parameterize the model for differences in an additional trait 'total crop nitrogen uptake' (Nmax) among the ILs. Genetic variation in Nmax had the most significant effect on yield; five other parameters also significantly influenced yield, but seed weight and leaf photosynthesis did not. Using the marker-based parameter values, GECROS also simulated yield variation among 251 recombinant inbred lines of the same parents. The model-based dissection approach detected more markers than the analysis using only yield per se. Model-based sensitivity analysis ranked all markers for their importance in determining yield differences among the ILs. Virtual ideotypes based on markers identified by modelling had 10-36 % more yield than those based on markers for yield per se.This study outlines a genotype-to-phenotype approach that exploits the potential value of marker-based crop modelling in developing new plant types with high yields. The approach can provide more markers for selection programmes for specific environments whilst also allowing for prioritization. Crop modelling is thus a powerful tool for marker design for improved rice yields and for ideotyping under contrasting conditions." @default.
• W2323675279 created "2016-06-24" @default.
• W2323675279 creator A5031587397 @default.
• W2323675279 creator A5039870132 @default.
• W2323675279 creator A5063130181 @default.
• W2323675279 creator A5082662124 @default.
• W2323675279 creator A5084566064 @default.
• W2323675279 date "2014-07-01" @default.
• W2323675279 modified "2023-10-02" @default.
• W2323675279 title "Linking ecophysiological modelling with quantitative genetics to support marker-assisted crop design for improved yields of rice (Oryza sativa) under drought stress" @default.
• W2323675279 cites W1483689959 @default.
• W2323675279 cites W1890407888 @default.
• W2323675279 cites W1964228609 @default.
• W2323675279 cites W1966205550 @default.
• W2323675279 cites W1974139843 @default.
• W2323675279 cites W1976769634 @default.
• W2323675279 cites W1978131419 @default.
• W2323675279 cites W1996726622 @default.
• W2323675279 cites W1998162883 @default.
• W2323675279 cites W2000145026 @default.
• W2323675279 cites W2027699912 @default.
• W2323675279 cites W2029766146 @default.
• W2323675279 cites W2032779728 @default.
• W2323675279 cites W2034664823 @default.
• W2323675279 cites W2037169339 @default.
• W2323675279 cites W2040362532 @default.
• W2323675279 cites W2072569124 @default.
• W2323675279 cites W2083996992 @default.
• W2323675279 cites W2090344978 @default.
• W2323675279 cites W2094829151 @default.
• W2323675279 cites W2096157400 @default.
• W2323675279 cites W2097522106 @default.
• W2323675279 cites W2098547754 @default.
• W2323675279 cites W2100295740 @default.
• W2323675279 cites W2101166532 @default.
• W2323675279 cites W2101849231 @default.
• W2323675279 cites W2104413388 @default.
• W2323675279 cites W2110714304 @default.
• W2323675279 cites W2110844845 @default.
• W2323675279 cites W2111697912 @default.
• W2323675279 cites W2112977718 @default.
• W2323675279 cites W2113951047 @default.
• W2323675279 cites W2118848963 @default.
• W2323675279 cites W2125080402 @default.
• W2323675279 cites W2132825643 @default.
• W2323675279 cites W2134378975 @default.
• W2323675279 cites W2144372231 @default.
• W2323675279 cites W2145152086 @default.
• W2323675279 cites W2148416453 @default.
• W2323675279 cites W2148634166 @default.
• W2323675279 cites W2152068390 @default.
• W2323675279 cites W2152447062 @default.
• W2323675279 cites W2158656445 @default.
• W2323675279 cites W2165225185 @default.
• W2323675279 cites W2165930539 @default.
• W2323675279 cites W2167079729 @default.
• W2323675279 cites W2167657683 @default.
• W2323675279 cites W4252236382 @default.
• W2323675279 cites W433938422 @default.
• W2323675279 doi "https://doi.org/10.1093/aob/mcu127" @default.
• W2323675279 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4204662" @default.
• W2323675279 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24984712" @default.
• W2323675279 hasPublicationYear "2014" @default.
• W2323675279 type Work @default.
• W2323675279 sameAs 2323675279 @default.
• W2323675279 citedByCount "40" @default.
• W2323675279 countsByYear W23236752792014 @default.
• W2323675279 countsByYear W23236752792015 @default.
• W2323675279 countsByYear W23236752792016 @default.
• W2323675279 countsByYear W23236752792017 @default.
• W2323675279 countsByYear W23236752792018 @default.
• W2323675279 countsByYear W23236752792019 @default.
• W2323675279 countsByYear W23236752792020 @default.
• W2323675279 countsByYear W23236752792021 @default.
• W2323675279 countsByYear W23236752792022 @default.
• W2323675279 countsByYear W23236752792023 @default.
• W2323675279 crossrefType "journal-article" @default.
• W2323675279 hasAuthorship W2323675279A5031587397 @default.
• W2323675279 hasAuthorship W2323675279A5039870132 @default.
• W2323675279 hasAuthorship W2323675279A5063130181 @default.
• W2323675279 hasAuthorship W2323675279A5082662124 @default.
• W2323675279 hasAuthorship W2323675279A5084566064 @default.
• W2323675279 hasBestOaLocation W23236752791 @default.
• W2323675279 hasConcept C104317684 @default.
• W2323675279 hasConcept C106934330 @default.
• W2323675279 hasConcept C126343540 @default.
• W2323675279 hasConcept C132215390 @default.
• W2323675279 hasConcept C137580998 @default.
• W2323675279 hasConcept C144024400 @default.
• W2323675279 hasConcept C149923435 @default.
• W2323675279 hasConcept C18903297 @default.
• W2323675279 hasConcept C199360897 @default.
• W2323675279 hasConcept C2778543611 @default.
• W2323675279 hasConcept C2908647359 @default.
• W2323675279 hasConcept C41008148 @default.
• W2323675279 hasConcept C54355233 @default.
• W2323675279 hasConcept C6557445 @default.
• W2323675279 hasConcept C81941488 @default.

• next