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References139
Newest
Published on Jan 1, 2013in Nucleic Acids Research11.15
Kenneth Haug12
Estimated H-index: 12
(EMBL-EBI: European Bioinformatics Institute),
Reza M. Salek22
Estimated H-index: 22
(EMBL-EBI: European Bioinformatics Institute)
+ 12 AuthorsPhilippe Rocca-Serra34
Estimated H-index: 34
(EMBL-EBI: European Bioinformatics Institute)
MetaboLights (http://www.ebi.ac.uk/metabolights) is the first general-purpose, open-access repository for metabolomics studies, their raw experimental data and associated metadata, maintained by one of the major open-access data providers in molecular biology. Metabolomic profiling is an important tool for research into biological functioning and into the systemic perturbations caused by diseases, diet and the environment. The effectiveness of such methods depends on the availability of public o...
Published on Dec 1, 2012in BMC Bioinformatics2.51
Dandi Qiao9
Estimated H-index: 9
(Harvard University),
Wai-Ki Yip8
Estimated H-index: 8
(Harvard University),
Christoph Lange78
Estimated H-index: 78
(University of Bonn)
Background: As Next-Generation Sequencing data becomes available, existing hardware environments do not provide sufficient storage space and computational power to store and process the data due to their enormous size. This is and will be a frequent problem that is encountered everyday by researchers who are working on genetic data. There are some options available for compressing and storing such data, such as general-purpose compression software, PBAT/PLINK binary format, etc. However, these c...
Published on Nov 29, 2012in Nature43.07
Klaus F. X. Mayer62
Estimated H-index: 62
,
Robbie Waugh72
Estimated H-index: 72
(James Hutton Institute)
+ 69 AuthorsRuvini Ariyadasa13
Estimated H-index: 13
(Leibniz Association)
Barley (Hordeum vulgare L.) is among the world's earliest domesticated and most important crop plants. It is diploid with a large haploid genome of 5.1 gigabases (Gb). Here we present an integrated and ordered physical, genetic and functional sequence resource that describes the barley gene-space in a structured whole-genome context. We developed a physical map of 4.98 Gb, with more than 3.90 Gb anchored to a high-resolution genetic map. Projecting a deep whole-genome shotgun assembly, complemen...
Published on Nov 1, 2012in Nature43.07
Rachel Brenchley7
Estimated H-index: 7
(University of Liverpool),
Manuel Spannagl27
Estimated H-index: 27
+ 26 AuthorsDan Bolser23
Estimated H-index: 23
Sequencing of the hexaploid bread wheat genome shows that it is highly dynamic, with significant loss of gene family members on polyploidization and domestication, and an abundance of gene fragments.
Published on Nov 1, 2012in Annals of Botany3.45
Achim Walter31
Estimated H-index: 31
(ETH Zurich),
Bruno Studer20
Estimated H-index: 20
(AU: Aarhus University),
Roland Kölliker25
Estimated H-index: 25
Background and Aims: Advanced phenotyping, i.e. the application of automated, high-throughput methods to characterize plant architecture and performance, has the potential to accelerate breeding progress but is far from being routinely used in current breeding approaches. In forage and turf improvement programmes, in particular, where breeding populations and cultivars are characterized by high genetic diversity and substantial genotype × environment interactions, precise and efficient phenotypi...
Published on Sep 11, 2012in PLOS ONE2.78
Helen F. Downie2
Estimated H-index: 2
(James Hutton Institute),
Nicola J. Holden16
Estimated H-index: 16
(James Hutton Institute)
+ 3 AuthorsLionel X. Dupuy19
Estimated H-index: 19
(James Hutton Institute)
Understanding of soil processes is essential for addressing the global issues of food security, disease transmission and climate change. However, techniques for observing soil biology are lacking. We present a heterogeneous, porous, transparent substrate for in situ 3D imaging of living plants and root-associated microorganisms using particles of the transparent polymer, Nafion, and a solution with matching optical properties. Minerals and fluorescent dyes were adsorbed onto the Nafion particles...
Published on Aug 1, 2012in Plant Physiology6.30
Sonia Osorio32
Estimated H-index: 32
(MPG: Max Planck Society),
Rob Alba12
Estimated H-index: 12
+ 3 AuthorsJames J. Giovannoni70
Estimated H-index: 70
Integrative comparative analyses of transcript and metabolite levels from climacteric and nonclimacteric fruits can be employed to unravel the similarities and differences of the underlying regulatory processes. To this end, we conducted combined gas chromatography-mass spectrometry and heterologous microarray hybridization assays in tomato ( Solanum lycopersicum ; climacteric) and pepper ( Capsicum chilense ; nonclimacteric) fruits across development and ripening. Computational methods from mul...
Published on Aug 1, 2012in Theoretical and Applied Genetics3.93
Reyazul Rouf Mir19
Estimated H-index: 19
(ICRISAT: International Crops Research Institute for the Semi-Arid Tropics),
Mainassara Zaman-Allah20
Estimated H-index: 20
(ICRISAT: International Crops Research Institute for the Semi-Arid Tropics)
+ 2 AuthorsRajeev K. Varshney74
Estimated H-index: 74
(CIMMYT: International Maize and Wheat Improvement Center)
Drought is one of the most serious production constraint for world agriculture and is projected to worsen with anticipated climate change. Inter-disciplinary scientists have been trying to understand and dissect the mechanisms of plant tolerance to drought stress using a variety of approaches; however, success has been limited. Modern genomics and genetic approaches coupled with advances in precise phenotyping and breeding methodologies are expected to more effectively unravel the genes and meta...
Published on Jul 1, 2012in Field Crops Research3.87
Jeffrey W. White40
Estimated H-index: 40
(ARS: Agricultural Research Service),
Pedro Andrade-Sanchez10
Estimated H-index: 10
(UA: University of Arizona)
+ 14 AuthorsDouglas J. Hunsaker24
Estimated H-index: 24
(ARS: Agricultural Research Service)
A major challenge for crop research in the 21st century is how to predict crop performance as a function of genetic architecture. Advances in “next generation” DNA sequencing have greatly improved genotyping efficiency and reduced genotyping costs. Methods for characterizing plant traits (phenotypes), however, have much progressed more slowly over the past 30 years, and constraints in phenotyping capability limit our ability to dissect the genetics of quantitative traits, especially those relate...
Published on May 1, 2012in Journal of Integrative Plant Biology3.82
Llorenç Cabrera-Bosquet15
Estimated H-index: 15
(INRA: Institut national de la recherche agronomique),
José Crossa60
Estimated H-index: 60
(CIMMYT: International Maize and Wheat Improvement Center)
+ 2 AuthorsJ. L. Araus49
Estimated H-index: 49
(University of Barcelona)
Genomic selection (GS) and high-throughput phenotyping have recently been captivating the interest of the crop breeding community from both the public and private sectors world-wide. Both approaches promise to revolutionize the prediction of complex traits, including growth, yield and adaptation to stress. Whereas high-throughput phenotyping may help to improve understanding of crop physiology, most powerful techniques for high-throughput field phenotyping are empirical rather than analytical an...
Cited By4
Newest
Published on May 1, 2019in Plant Science3.79
Reyazul Rouf Mir2
Estimated H-index: 2
(Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir),
Mathew Reynolds1
Estimated H-index: 1
(CIMMYT: International Maize and Wheat Improvement Center)
+ 2 AuthorsMohd Ashraf Bhat1
Estimated H-index: 1
(Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir)
Abstract Tremendous progress has been made with continually expanding genomics technologies to unravel and understand crop genomes. However, the impact of genomics data on crop improvement is still far from satisfactory, in large part due to a lack of effective phenotypic data; our capacity to collect useful high quality phenotypic data lags behind the current capacity to generate high-throughput genomics data. Thus, the research bottleneck in plant sciences is shifting from genotyping to phenot...
Published on Jan 1, 2015in BMC Genetics2.55
Jane L. Ward33
Estimated H-index: 33
(Rothamsted Research),
Marianna Rakszegi7
Estimated H-index: 7
(MTA: Hungarian Academy of Sciences)
+ 2 AuthorsMackayIan27
Estimated H-index: 27
Background Genomic prediction of agronomic traits as targets for selection in plant breeding programmes is increasingly common. The methods employed can also be applied to predict traits from other sources of covariates, such as metabolomics. However, prediction combining sets of covariates can be less accurate than using the best of the individual sets.
Published on Jan 1, 2015
Takaharu Kameoka , Atsushi Hashimoto16
Estimated H-index: 16
,
Nonmembers
SUMMARY This paper gives an outline of key technologies necessary for science-based agriculture. In order to design future agriculture, present agriculture should be redesigned based on the context of smart agriculture that indicates the overall form of agriculture including a social system while the present precision agriculture shows a technical form of agriculture only. Wireless Sensor Network (WSN) and the various type of optical sensors are assumed to be a basic technology of smart agricult...
Published on Jan 1, 2015in IEICE Transactions on Communications0.58
Takaharu Kameoka10
Estimated H-index: 10
(Mie University),
Atsushi Hashimoto16
Estimated H-index: 16
(Mie University)
This paper gives an outline of key technologies necessary for science-based agriculture. In order to design future agriculture, present agriculture should be redesigned based on the context of smart agriculture that indicates the overall form of agriculture including a social system while the present precision agriculture shows a technical form of agriculture only. Wireless Sensor Network (WSN) and the various type of optical sensors are assumed to be a basic technology of smart agriculture whic...
View next paperIntegration of phenomics and genomics: biomass development in barley