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Genomic-based-breeding tools for tropical maize improvement

Overview of attention for article published in Genetica, September 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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1 X user
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2 Wikipedia pages

Citations

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14 Dimensions

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64 Mendeley
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Title
Genomic-based-breeding tools for tropical maize improvement
Published in
Genetica, September 2017
DOI 10.1007/s10709-017-9981-y
Pubmed ID
Authors

Thammineni Chakradhar, Vemuri Hindu, Palakolanu Sudhakar Reddy

Abstract

Maize has traditionally been the main staple diet in the Southern Asia and Sub-Saharan Africa and widely grown by millions of resource poor small scale farmers. Approximately, 35.4 million hectares are sown to tropical maize, constituting around 59% of the developing worlds. Tropical maize encounters tremendous challenges besides poor agro-climatic situations with average yields recorded <3 tones/hectare that is far less than the average of developed countries. On the contrary to poor yields, the demand for maize as food, feed, and fuel is continuously increasing in these regions. Heterosis breeding introduced in early 90 s improved maize yields significantly, but genetic gains is still a mirage, particularly for crop growing under marginal environments. Application of molecular markers has accelerated the pace of maize breeding to some extent. The availability of array of sequencing and genotyping technologies offers unrivalled service to improve precision in maize-breeding programs through modern approaches such as genomic selection, genome-wide association studies, bulk segregant analysis-based sequencing approaches, etc. Superior alleles underlying complex traits can easily be identified and introgressed efficiently using these sequence-based approaches. Integration of genomic tools and techniques with advanced genetic resources such as nested association mapping and backcross nested association mapping could certainly address the genetic issues in maize improvement programs in developing countries. Huge diversity in tropical maize and its inherent capacity for doubled haploid technology offers advantage to apply the next generation genomic tools for accelerating production in marginal environments of tropical and subtropical world. Precision in phenotyping is the key for success of any molecular-breeding approach. This article reviews genomic technologies and their application to improve agronomic traits in tropical maize breeding has been reviewed in detail.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 19%
Student > Ph. D. Student 12 19%
Student > Postgraduate 6 9%
Student > Doctoral Student 4 6%
Researcher 4 6%
Other 9 14%
Unknown 17 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 52%
Biochemistry, Genetics and Molecular Biology 5 8%
Social Sciences 2 3%
Unspecified 1 2%
Environmental Science 1 2%
Other 5 8%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2021.
All research outputs
#7,063,981
of 23,112,054 outputs
Outputs from Genetica
#129
of 717 outputs
Outputs of similar age
#111,299
of 315,822 outputs
Outputs of similar age from Genetica
#4
of 14 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 717 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,822 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.