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Genotypic Variation in Grain P Loading across Diverse Rice Growing Environments and Implications for Field P Balances

Overview of attention for article published in Frontiers in Plant Science, September 2016
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Title
Genotypic Variation in Grain P Loading across Diverse Rice Growing Environments and Implications for Field P Balances
Published in
Frontiers in Plant Science, September 2016
DOI 10.3389/fpls.2016.01435
Pubmed ID
Authors

Elke Vandamme, Matthias Wissuwa, Terry Rose, Ibnou Dieng, Khady N. Drame, Mamadou Fofana, Kalimuthu Senthilkumar, Ramaiah Venuprasad, Demba Jallow, Zacharie Segda, Lalith Suriyagoda, Dinarathna Sirisena, Yoichiro Kato, Kazuki Saito

Abstract

More than 60% of phosphorus (P) taken up by rice (Oryza spp.) is accumulated in the grains at harvest and hence exported from fields, leading to a continuous removal of P. If P removed from fields is not replaced by P inputs then soil P stocks decline, with consequences for subsequent crops. Breeding rice genotypes with a low concentration of P in the grains could be a strategy to reduce maintenance fertilizer needs and slow soil P depletion in low input systems. This study aimed to assess variation in grain P concentrations among rice genotypes across diverse environments and evaluate the implications for field P balances at various grain yield levels. Multi-location screening experiments were conducted at different sites across Africa and Asia and yield components and grain P concentrations were determined at harvest. Genotypic variation in grain P concentration was evaluated while considering differences in P supply and grain yield using cluster analysis to group environments and boundary line analysis to determine minimum grain P concentrations at various yield levels. Average grain P concentrations across genotypes varied almost 3-fold among environments, from 1.4 to 3.9 mg g(-1). Minimum grain P concentrations associated with grain yields of 150, 300, and 500 g m(-2) varied between 1.2 and 1.7, 1.3 and 1.8, and 1.7 and 2.2 mg g(-1) among genotypes respectively. Two genotypes, Santhi Sufaid and DJ123, were identified as potential donors for breeding for low grain P concentration. Improvements in P balances that could be achieved by exploiting this genotypic variation are in the range of less than 0.10 g P m(-2) (1 kg P ha(-1)) in low yielding systems, and 0.15-0.50 g P m(-2) (1.5-5.0 kg P ha(-1)) in higher yielding systems. Improved crop management and alternative breeding approaches may be required to achieve larger reductions in grain P concentrations in rice.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Student > Master 9 18%
Student > Ph. D. Student 7 14%
Student > Bachelor 4 8%
Other 2 4%
Other 3 6%
Unknown 13 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 39%
Environmental Science 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Social Sciences 2 4%
Engineering 2 4%
Other 4 8%
Unknown 16 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 September 2016.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Frontiers in Plant Science
#12,892
of 24,598 outputs
Outputs of similar age
#215,443
of 330,837 outputs
Outputs of similar age from Frontiers in Plant Science
#179
of 405 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,598 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 41st percentile – i.e., 41% 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 330,837 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 405 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.