Kevin Smith

Prof. Kevin Smith

Professor of Pasture Agronomy (Plant Breeding), Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Private Bag 105, Hamilton, Victoria 3300, Australia
orcid

Research Focus & Metrics

Academic Career Length

78Years (1949-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2010 in The Plant Cell
Verified
Journal Article
Open access
PDF file
YTYi Tu
Yi Tu
SRSimone Rochfort
Simone Rochfort
ZLZhiqian Liu
Zhiqian Liu
Yidong RANYidong RAN
Yidong RAN
MGMegan Griffith
Megan Griffith
GSGerman Spangenberg
German Spangenberg
Cinnamoyl CoA-reductase (CCR) and caffeic acid O-methyltransferase (COMT) catalyze key steps in the biosynthesis of monolignols, which serve as building blocks in the formation of plant lignin. We identified candidate genes encoding these two enzymes in perennial ryegrass (Lolium perenne) and show that the spatio-temporal expression patterns of these genes in planta correlate well with the developmental profile of lignin deposition. Downregulation of CCR1 and caffeic acid O-methyltransferase 1 (OMT1) using an RNA interference–mediated silencing strategy caused dramatic changes in lignin level and composition in transgenic perennial ryegrass plants grown under both glasshouse and field conditions. In CCR1-deficient perennial ryegrass plants, metabolic profiling indicates the redirection of intermediates both within and beyond the core phenylpropanoid pathway. The combined results strongly support a key role for the OMT1 gene product in the biosynthesis of both syringyl- and guaiacyl-lignin subunits in perennial ryegrass. Both field-grown OMT1-deficient and CCR1-deficient perennial ryegrass plants showed enhanced digestibility without obvious detrimental effects on either plant fitness or biomass production. This highlights the potential of metabolic engineering not only to enhance the forage quality of grasses but also to produce optimal feedstock plants for biofuel production.

1 January 2017 in Agronomy
Verified
Journal Article
Open access
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SSShang-Li Shi
Shang-Li Shi
LNli li Nan
li li Nan
KSKevin Smith
Kevin Smith
This paper reviews the current status, methodology, achievements, and prospects of alfalfa (Medicago sativa L.) breeding in China. There are 77 cultivars that have been registered in the country, these include 36 cultivars bred through breeding programs, 17 introduced from overseas, 5 domesticated from wild ecotypes, and 19 through regional collection/breeding programs. Cultivars have been selected for cold resistance, disease resistance, salt tolerance, grazing tolerance, high yield, and early maturity. Most of these cultivars have been developed through conventional breeding techniques, such as selective and cross breeding, and some are now being evaluated that have been developed through the application of transgenic technology. The major problems for alfalfa breeding in China include low success rate, slow progress to breed resistant varieties, lack of breeding materials and their systematic collection, storage and evaluation, lack of advanced breeding techniques, and low adoption rate of new cultivars. There are gaps in alfalfa breeding between China and the developed world. Improvement of alfalfa breeding techniques, development of cultivars with adaptations to different regions within China, and the protection and utilization of alfalfa germplasm resources have been identified as major strategies to improve the efficiency of alfalfa breeding in China.

30 October 2004 in Theoretical and Applied Genetics
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Journal Article
Closed access
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MFMarty Faville
Marty Faville
AVA. C. Vecchies
A. C. Vecchies
MSM. Schreiber
M. Schreiber
MDM. C. Drayton
M. C. Drayton
LHL. J. Hughes
L. J. Hughes
JFJ. W. Forster
J. W. Forster

1 October 2001 in Euphytica
Verified
Journal Article
Closed access
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KGK.M. Guthridge
K.M. Guthridge
MDM.P. Dupal
M.P. Dupal
RKRoland Kölliker
Roland Kölliker
EJE.S. Jones
E.S. Jones
KSKevin Smith
Kevin Smith
JFJ.W. Forster
J.W. Forster

17 May 2006 in Molecular Genetics and Genomics
Verified
Journal Article
Closed access
PDF file
NCNoel O. I. Cogan
Noel O. I. Cogan
RPRebecca C. Ponting
Rebecca C. Ponting
AVAnita C. Vecchies
Anita C. Vecchies
MDMichelle C. Drayton
Michelle C. Drayton
JGJulie George
Julie George
JFJohn W. Forster
John W. Forster

19 November 2004 in Theoretical and Applied Genetics
Verified
Journal Article
Open access
PDF file
NCN. O. I. Cogan
N. O. I. Cogan
KSKevin Smith
Kevin Smith
TYToshihiko Yamada
Toshihiko Yamada
MFM. G. Francki
M. G. Francki
AVA. C. Vecchies
A. C. Vecchies
JFJ. W. Forster
J. W. Forster
Genetic control of herbage quality variation was assessed through the use of the molecular marker-based reference genetic map of perennial ryegrass (Lolium perenne L.). The restriction fragment length polymorphism (RFLP), amplified fragment length polymorphism (AFLP) and genomic DNA-derived simple sequence repeat-based (SSR) framework marker set was enhanced, with RFLP loci corresponding to genes for key enzymes involved in lignin biosynthesis and fructan metabolism. Quality traits such as crude protein (CP) content, estimated in vivo dry matter digestibility (IVVDMD), neutral detergent fibre content (NDF), estimated metabolisable energy (EstME) and water soluble carbohydrate (WSC) content were measured by near infrared reflectance spectroscopy (NIRS) analysis of herbage harvests. Quantitative trait locus (QTL) analysis was performed using single-marker regression, simple interval mapping and composite interval mapping approaches, detecting a total of 42 QTLs from six different sampling experiments varying by developmental stage (anthesis or vegetative growth), location or year. Coincident QTLs were detected on linkage groups (LGs) 3, 5 and 7. The region on LG3 was associated with variation for all measured traits across various experimental datasets. The region on LG7 was associated with variation for all traits except CP, and is located in the vicinity of the lignin biosynthesis gene loci xlpomt1 (caffeic acid-O-methyltransferase), xlpccr1 (cinnamoyl CoA-reductase) and xlpssrcad 2.1 (cinnamyl alcohol dehydrogenase). Comparative genomics analysis of these gene classes with wheat (Triticum aestivum L.) provides evidence for conservation of gene order over evolutionary time and the basis for cross-specific genetic information transfer. The identification of co-location between QTLs and functionally associated genetic markers is critical for the implementation of marker-assisted selection programs and for linkage disequilibrium studies, which will enable future improvement strategies for perennial ryegrass.