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  1. Article: Combining quantitative trait loci analysis with physiological models to predict genotype‐specific transpiration rates

    REUNING, GRETCHEN A / BAUERLE, WILLIAM L / MCKAY, JOHN K / MULLEN, JACK L

    Plant, cell and environment. 2015 Apr., v. 38, no. 4

    2015  

    Abstract: Transpiration is controlled by evaporative demand and stomatal conductance (gs), and there can be substantial genetic variation in gs. A key parameter in empirical models of transpiration is minimum stomatal conductance (g0), a trait that can be measured ...

    Abstract Transpiration is controlled by evaporative demand and stomatal conductance (gs), and there can be substantial genetic variation in gs. A key parameter in empirical models of transpiration is minimum stomatal conductance (g0), a trait that can be measured and has a large effect on gsand transpiration. In Arabidopsis thaliana, g0exhibits both environmental and genetic variation, and quantitative trait loci (QTL) have been mapped. We used this information to create a genetically parameterized empirical model to predict transpiration of genotypes. For the parental lines, this worked well. However, in a recombinant inbred population, the predictions proved less accurate. When based only upon their genotype at a single g0QTL, genotypes were less distinct than our model predicted. Follow‐up experiments indicated that both genotype by environment interaction and a polygenic inheritance complicate the application of genetic effects into physiological models. The use of ecophysiological or ‘crop’ models for predicting transpiration of novel genetic lines will benefit from incorporating further knowledge of the genetic control and degree of independence of core traits/parameters underlying gsvariation.
    Keywords Arabidopsis thaliana ; ecophysiology ; genetic lines ; genetic variation ; genotype ; genotype-environment interaction ; models ; polygenic inheritance ; prediction ; quantitative trait loci ; stomatal conductance
    Language English
    Dates of publication 2015-04
    Size p. 710-717.
    Publishing place Blackwell Scientific Publications
    Document type Article
    ZDB-ID 391893-2
    ISSN 1365-3040 ; 0140-7791
    ISSN (online) 1365-3040
    ISSN 0140-7791
    DOI 10.1111/pce.12429
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: Genetic variation in biomass traits among 20 diverse rice varieties.

    Jahn, Courtney E / Mckay, John K / Mauleon, Ramil / Stephens, Janice / McNally, Kenneth L / Bush, Daniel R / Leung, Hei / Leach, Jan E

    Plant physiology

    2010  Volume 155, Issue 1, Page(s) 157–168

    Abstract: Biofuels provide a promising route of producing energy while reducing reliance on petroleum. Developing sustainable liquid fuel production from cellulosic feedstock is a major challenge and will require significant breeding efforts to maximize plant ... ...

    Abstract Biofuels provide a promising route of producing energy while reducing reliance on petroleum. Developing sustainable liquid fuel production from cellulosic feedstock is a major challenge and will require significant breeding efforts to maximize plant biomass production. Our approach to elucidating genes and genetic pathways that can be targeted for improving biomass production is to exploit the combination of genomic tools and genetic diversity in rice (Oryza sativa). In this study, we analyzed a diverse set of 20 recently resequenced rice varieties for variation in biomass traits at several different developmental stages. The traits included plant size and architecture, aboveground biomass, and underlying physiological processes. We found significant genetic variation among the 20 lines in all morphological and physiological traits. Although heritability estimates were significant for all traits, heritabilities were higher in traits relating to plant size and architecture than for physiological traits. Trait variation was largely explained by variety and breeding history (advanced versus landrace) but not by varietal groupings (indica, japonica, and aus). In the context of cellulosic biofuels development, cell wall composition varied significantly among varieties. Surprisingly, photosynthetic rates among the varieties were inversely correlated with biomass accumulation. Examining these data in an evolutionary context reveals that rice varieties have achieved high biomass production via independent developmental and physiological pathways, suggesting that there are multiple targets for biomass improvement. Future efforts to identify loci and networks underlying this functional variation will facilitate the improvement of biomass traits in other grasses being developed as energy crops.
    MeSH term(s) Biomass ; Genetic Variation ; Genome, Plant/genetics ; Genotype ; Inbreeding ; Inheritance Patterns/genetics ; Oryza/genetics ; Oryza/growth & development ; Polymorphism, Single Nucleotide/genetics ; Quantitative Trait Loci/genetics ; Quantitative Trait, Heritable
    Language English
    Publishing date 2010-11-09
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 208914-2
    ISSN 1532-2548 ; 0032-0889
    ISSN (online) 1532-2548
    ISSN 0032-0889
    DOI 10.1104/pp.110.165654
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Genetic variation in Arabidopsis thaliana for night-time leaf conductance

    CHRISTMAN, MAIRGARETH A / RICHARDS, JAMES H / MCKAY, JOHN K / STAHL, ELI A / JUENGER, THOMAS E / DONOVAN, LISA A

    Plant, cell & environment. 2008 Aug., v. 31, no. 8

    2008  

    Abstract: Night-time leaf conductance (gnight) and transpiration may have several adaptive benefits related to plant water, nutrient and carbon relations. Little is known, however, about genetic variation in gnight and whether this variation correlates with other ... ...

    Abstract Night-time leaf conductance (gnight) and transpiration may have several adaptive benefits related to plant water, nutrient and carbon relations. Little is known, however, about genetic variation in gnight and whether this variation correlates with other gas exchange traits related to water use and/or native habitat climate. We investigated gnight in 12 natural accessions and three near isogenic lines (NILs) of Arabidopsis thaliana. Genetic variation in gnight was found for the natural accessions, and gnight was negatively correlated with native habitat atmospheric vapour pressure deficit (VPDair), suggesting lower gnight may be favoured by natural selection in drier habitats. However, there were also significant genetic correlations of gnight with daytime gas exchange traits expected to affect plant fitness [i.e. daytime leaf conductance, photosynthesis and intrinsic water-use efficiency (WUEi)], indicating that selection on daytime gas exchange traits may result in indirect selection on gnight. The comparison of three NILs to their parental genotypes identified one quantitative trait locus (QTL) contributing to variation in gnight. Further characterization of genetic variation in gnight within and among populations and species, and of associations with other traits and native habitats will be needed to understand gnight as a putatively adaptive trait.
    Keywords Arabidopsis thaliana ; atmospheric pressure ; carbon ; climate ; correlation ; gas exchange ; genetic correlation ; genetic variation ; genotype ; habitats ; isogenic lines ; leaf conductance ; natural selection ; photosynthesis ; quantitative trait loci ; water use efficiency
    Language English
    Dates of publication 2008-08
    Size p. 1170-1178.
    Publisher Blackwell Publishing Ltd
    Publishing place Oxford, UK
    Document type Article
    ZDB-ID 391893-2
    ISSN 1365-3040 ; 0140-7791
    ISSN (online) 1365-3040
    ISSN 0140-7791
    DOI 10.1111/j.1365-3040.2008.01833.x
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Genetic Variation in Biomass Traits among 20 Diverse Rice Varieties

    Jahn, Courtney E / Mckay, John K / Mauleon, Ramil / Stephens, Janice / McNally, Kenneth L / Bush, Daniel R / Leung, Hei / Leach, Jan E

    Plant physiology. 2011 Jan., v. 155, no. 1

    2011  

    Abstract: Biofuels provide a promising route of producing energy while reducing reliance on petroleum. Developing sustainable liquid fuel production from cellulosic feedstock is a major challenge and will require significant breeding efforts to maximize plant ... ...

    Abstract Biofuels provide a promising route of producing energy while reducing reliance on petroleum. Developing sustainable liquid fuel production from cellulosic feedstock is a major challenge and will require significant breeding efforts to maximize plant biomass production. Our approach to elucidating genes and genetic pathways that can be targeted for improving biomass production is to exploit the combination of genomic tools and genetic diversity in rice (Oryza sativa). In this study, we analyzed a diverse set of 20 recently resequenced rice varieties for variation in biomass traits at several different developmental stages. The traits included plant size and architecture, aboveground biomass, and underlying physiological processes. We found significant genetic variation among the 20 lines in all morphological and physiological traits. Although heritability estimates were significant for all traits, heritabilities were higher in traits relating to plant size and architecture than for physiological traits. Trait variation was largely explained by variety and breeding history (advanced versus landrace) but not by varietal groupings (indica, japonica, and aus). In the context of cellulosic biofuels development, cell wall composition varied significantly among varieties. Surprisingly, photosynthetic rates among the varieties were inversely correlated with biomass accumulation. Examining these data in an evolutionary context reveals that rice varieties have achieved high biomass production via independent developmental and physiological pathways, suggesting that there are multiple targets for biomass improvement. Future efforts to identify loci and networks underlying this functional variation will facilitate the improvement of biomass traits in other grasses being developed as energy crops.
    Keywords Oryza sativa ; aboveground biomass ; biofuels ; biomass production ; cell wall components ; crop production ; developmental stages ; energy ; energy crops ; feedstocks ; fuel production ; genes ; genetic variation ; grasses ; heritability ; loci ; petroleum ; photosynthesis ; plant architecture ; rice
    Language English
    Dates of publication 2011-01
    Size p. 157-168.
    Publishing place American Society of Plant Biologists
    Document type Article
    ZDB-ID 208914-2
    ISSN 1532-2548 ; 0032-0889
    ISSN (online) 1532-2548
    ISSN 0032-0889
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Combining quantitative trait loci analysis with physiological models to predict genotype‐specific transpiration rates

    REUNING, GRETCHEN A. / BAUERLE, WILLIAM L. / MULLEN, JACK L. / MCKAY, JOHN K.

    Plant, cell and environment

    Volume v. 38,, Issue no. 4

    Abstract: Transpiration is controlled by evaporative demand and stomatal conductance (gₛ), and there can be substantial genetic variation in gₛ. A key parameter in empirical models of transpiration is minimum stomatal conductance (g₀), a trait that can be measured ...

    Abstract Transpiration is controlled by evaporative demand and stomatal conductance (gₛ), and there can be substantial genetic variation in gₛ. A key parameter in empirical models of transpiration is minimum stomatal conductance (g₀), a trait that can be measured and has a large effect on gₛand transpiration. In Arabidopsis thaliana, g₀exhibits both environmental and genetic variation, and quantitative trait loci (QTL) have been mapped. We used this information to create a genetically parameterized empirical model to predict transpiration of genotypes. For the parental lines, this worked well. However, in a recombinant inbred population, the predictions proved less accurate. When based only upon their genotype at a single g₀QTL, genotypes were less distinct than our model predicted. Follow‐up experiments indicated that both genotype by environment interaction and a polygenic inheritance complicate the application of genetic effects into physiological models. The use of ecophysiological or ‘crop’ models for predicting transpiration of novel genetic lines will benefit from incorporating further knowledge of the genetic control and degree of independence of core traits/parameters underlying gₛvariation.
    Keywords models ; genotype-environment interaction ; ecophysiology ; genetic variation ; Arabidopsis thaliana ; stomatal conductance ; quantitative trait loci ; genetic lines ; prediction ; genotype ; polygenic inheritance
    Language English
    Document type Article
    ISSN 0140-7791
    Database AGRIS - International Information System for the Agricultural Sciences and Technology

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