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From promise to application: root traits for enhanced nutrient capture in rice breeding

Overview of attention for article published in Journal of Experimental Botany, April 2016
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Article details
Title
From promise to application: root traits for enhanced nutrient capture in rice breeding
Published in
Journal of Experimental Botany, April 2016
DOI 10.1093/jxb/erw061
Pubmed ID
Authors
Abstract

Improving nutrient uptake is an objective in crop breeding, especially in tropical areas where infertile soils dominate and farmers may not have the resources to improve soil fertility through fertilizer application. Scientific endeavors to understand the genetic basis of nutrient acquisition have mostly followed reverse genetic approaches. This has undoubtedly led to improved understanding of basic principles in root development and nutrient transport. However, little evidence suggests that the genes identified are actively utilized in breeding programs, and the bottleneck has been the failure to establish links between allelic variation for identified genes and performance in the field. Screening experiments typically reveal large genotypic variation in performance under nutrient deficiency, strongly suggesting the presence of superior alleles for genes controlling root growth and/or nutrient uptake processes. Progress in sequencing technology has enabled characterizations of allelic variation across whole genomes and an international effort has recently culminated in the sequencing of 3000 rice genomes from the International Rice Research Institute genebank. Queries of the 3000 rice sequence database offer immediate possibilities to assess the extent to which allelic variation exists for candidate genes. By selecting subsets of accessions, allelic effects can be tested, diagnostic markers developed, and new donors identified. Technological and conceptual advances in phenotyping of root traits offer improved possibilities to assure that trait-allele associations are established in ways that link to field performance. Genotype-to-phenotype relationships can thus be predicted and tested with unprecedented precision, facilitating the discovery and transfer of beneficial nutrition-related alleles and associated markers into existing breeding pipelines.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
China 1 <1%
Unknown 130 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 30 23%
Researcher 23 17%
Student > Bachelor 9 7%
Student > Master 8 6%
Student > Doctoral Student 6 5%
Other 19 14%
Unknown 37 28%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 71 54%
Biochemistry, Genetics and Molecular Biology 9 7%
Medicine and Dentistry 4 3%
Social Sciences 2 2%
Linguistics 1 <1%
Other 2 2%
Unknown 43 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 April 2016.
All research outputs
#21,504,300
of 33,924,920 outputs
Outputs from Journal of Experimental Botany
#6,071
of 8,991 outputs
Outputs of similar age
#188,819
of 337,398 outputs
Outputs of similar age from Journal of Experimental Botany
#60
of 134 outputs
Altmetric has tracked 33,924,920 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,991 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 337,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 134 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 54% of its contemporaries.