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Mendeley readers
Attention Score in Context
| Title |
Root Traits Enhancing Rice Grain Yield under Alternate Wetting and Drying Condition
|
|---|---|
| Published in |
Frontiers in Plant Science, October 2017
|
| DOI | 10.3389/fpls.2017.01879 |
| Pubmed ID | |
| Authors |
Nitika Sandhu, Sushil R. Subedi, Ram B. Yadaw, Bedanand Chaudhary, Hari Prasai, Khandakar Iftekharuddaula, Tho Thanak, Vathany Thun, Khushi R. Battan, Mangat Ram, Challa Venkateshwarlu, Vitaliano Lopena, Paquito Pablico, Paul C. Maturan, Ma. Teresa Sta. Cruz, K. Anitha Raman, Bertrand Collard, Arvind Kumar |
| Abstract |
Reducing water requirements and lowering environmental footprints require attention to minimize risks to food security. The present study was conducted with the aim to identify appropriate root traits enhancing rice grain yield under alternate wetting and drying conditions (AWD) and identify stable, high-yielding genotypes better suited to the AWD across variable ecosystems. Advanced breeding lines, popular rice varieties and drought-tolerant lines were evaluated in a series of 23 experiments conducted in the Philippines, India, Bangladesh, Nepal and Cambodia in 2015 and 2016. A large variation in grain yield under AWD conditions enabled the selection of high-yielding and stable genotypes across locations, seasons and years. Water savings of 5.7-23.4% were achieved without significant yield penalty across different ecosystems. The mean grain yield of genotypes across locations ranged from 3.5 to 5.6 t/ha and the mean environment grain yields ranged from 3.7 (Cambodia) to 6.6 (India) t/ha. The best-fitting Finlay-Wilkinson regression model identified eight stable genotypes with mean grain yield of more than 5.0 t/ha across locations. Multidimensional preference analysis represented the strong association of root traits (nodal root number, root dry weight at 22 and 30 days after transplanting) with grain yield. The genotype IR14L253 outperformed in terms of root traits and high mean grain yield across seasons and six locations. The 1.0 t/ha yield advantage of IR14L253 over the popular cultivar IR64 under AWD shall encourage farmers to cultivate IR14L253 and also adopt AWD. The results suggest an important role of root architectural traits in term of more number of nodal roots and root dry weight at 10-20 cm depth on 22-30 days after transplanting (DAT) in providing yield stability and preventing yield reduction under AWD compared to continuous flooded conditions. Genotypes possessing increased number of nodal roots provided higher yield over IR64 as well as no yield reduction under AWD compared to flooded irrigation. The identification of appropriate root architecture traits at specific depth and specific growth stage shall help breeding programs develop better rice varieties for AWD conditions. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 14% |
| France | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 27% |
| Student > Doctoral Student | 6 | 9% |
| Researcher | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Student > Master | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 19 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 45% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Engineering | 3 | 5% |
| Environmental Science | 2 | 3% |
| Computer Science | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 23 | 35% |
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 21 May 2018.
All research outputs
#6,783,576
of 23,008,860 outputs
Outputs from Frontiers in Plant Science
#3,804
of 20,507 outputs
Outputs of similar age
#110,632
of 328,935 outputs
Outputs of similar age from Frontiers in Plant Science
#102
of 483 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 20,507 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 81% 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 328,935 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 66% of its contemporaries.
We're also able to compare this research output to 483 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.