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Featured researches published by Peter Reid.


Euphytica | 1987

Effects of the okra leaf, nectariless, frego bract and glabrous conditions on yield and quality of cotton lines

N. J. Thomson; Peter Reid; E. R. Williams

SummaryEffects on yield and quality associated with the glabrous leaf, frego bract, okra leaf and nectariless genes (singly and combined) were studied under two insecticide spray regimes (heavy and light) in field experiments repeated over three seasons. Under the heavy spray regime there were few consistent differences between mutant genotypes and the normal except for low yields associated with the glabrous leaf, nectariless, frego bract genotype and the okra leaf genotype. Under the light spray regime, genotypes containing the okra leaf gene and/or the nectariless genes were associated with higher yields than the normal and genotypes containing glabrous leaf and/or frego bract genes were associated with lower yields. Positive epistatic interactions occurred in a number of instances including the okra leaf gene in the glabrous hair, normal bract background under heavy spraying, and with all backgrounds under light spraying, and for glabrous leaf in both the okra normal and okra frego backgrounds under heavy spraying. Nectariless also interacted positively with the normal leaf, normal hair, normal bract background under light spraying. Pronounced negative epistatic interactions only occurred in the light spray regime, and included glabrous leaf in all backgrounds, and frego bract in all backgrounds except the normal leaf, normal hair. The mutant genes had only minor effects on lint quality. The implications of the results for breeding and pest management are diseussed.


GEM Beijing 2011 | 2011

Progress towards magnetotelluric time lapse monitoring of enhanced geothermal system fluids

Xiong Li; Yaoguo Li; Xiaohong Meng; Jared Peacock; Stephan Thiel; Graham Heinson; Peter Reid

Realization of enhanced geothermal systems (EGS) prescribes the need for novel technology to monitor fluid inclusion at depth. Magnetotellurics (MT) is a relatively cheap method that is sensitive to electrical conductivity contrasts as a function of depth. It is proposed that MT can be employed to monitor areal extent of an EGS reservoir by collecting measurements before, during and after fluids are injected. 3D forward modeling suggests changes in the MT response will be small, on the order of a few degrees in phase. Repeatability of the MT response is important and it is shown that most stations are with in a few percent. Presented are 3D forward models, repeatability confidence from apparent resistivity and phase as well as phase tensor analysis.


Archive | 2006

Cotton variety FM 991B2R

Peter Reid; Greg A. Constable; Warwick N. Stiller


Crop Science | 2005

Selection for Water Use Efficiency Traits in a Cotton Breeding Program: Cultivar Differences

Warwick N. Stiller; John J. Read; G.A. Constable; Peter Reid


Agronomy Journal | 2004

Maturity and Leaf Shape as Traits Influencing Cotton Cultivar Adaptation to Dryland Conditions

Warwick N. Stiller; Peter Reid; G.A. Constable


Field Crops Research | 2013

The interaction between breeding and crop management in improved cotton yield

Shiming Liu; G.A. Constable; Peter Reid; Warwick N. Stiller; Brian R. Cullis


Euphytica | 2015

Benefit of spatial analysis for furrow irrigated cotton breeding trials

Shiming Liu; Greg A. Constable; Brian R. Cullis; Warwick N. Stiller; Peter Reid


Archive | 2006

Cotton variety FM 989B2R

Peter Reid; Greg A. Constable; Warwick N. Stiller


Archive | 2006

Cotton variety FM 960B2R

Peter Reid; Greg A. Constable; Warwick N. Stiller


Archive | 2006

Cotton variety FM 800B2R

Peter Reid; Greg A. Constable; Warwick N. Stiller

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Warwick N. Stiller

Commonwealth Scientific and Industrial Research Organisation

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Greg A. Constable

Commonwealth Scientific and Industrial Research Organisation

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Jared Peacock

United States Geological Survey

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G.A. Constable

Commonwealth Scientific and Industrial Research Organisation

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Shiming Liu

Commonwealth Scientific and Industrial Research Organisation

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Andrew J. Feitz

University of New South Wales

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