Evidence map›Paper›PMID 29163604›Full record

ArticleFrontiers in plant science2017

Root Traits Enhancing Rice Grain Yield under Alternate Wetting and Drying Condition.

Nitika Sandhu, Sushil R Subedi, Ram B Yadaw, Bedanand Chaudhary, Hari Prasai, Khandakar Iftekharuddaula, Tho Thanak, Vathany Thun, Khushi R Battan, Mangat Ram and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
7.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 61 citations in OpenAlex.

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  8. Deciphering the Genetic Basis of Root and Biomass Traits in Rapeseed (International journal of molecular sciences · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 6 institutions in 5 countries.

Nitika SandhuInternational Rice Research Institute, Los Baños, Philippines.
Sushil R SubediInternational Rice Research Institute, Los Baños, Philippines.
Ram B YadawNational Rice Research Program, Hardinath, Nepal.
Bedanand ChaudharyNational Rice Research Program, Hardinath, Nepal.
Hari PrasaiRegional Agriculture Research Station, Tarahara, Nepal.
Khandakar IftekharuddaulaBangladesh Rice Research Institute, Gazipur, Bangladesh.
Tho ThanakCambodian Agricultural Research and Development Institute, Phnom Penh, Cambodia.
Vathany ThunCambodian Agricultural Research and Development Institute, Phnom Penh, Cambodia.
Khushi R BattanRice Research Station, Kaul, India.
Mangat RamRice Research Station, Kaul, India.
Challa VenkateshwarluSouth Asia Breeding Hub, International Rice Research Institute, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Vitaliano LopenaInternational Rice Research Institute, Los Baños, Philippines.
Paquito PablicoInternational Rice Research Institute, Los Baños, Philippines.
Paul C MaturanInternational Rice Research Institute, Los Baños, Philippines.
Ma Teresa Sta CruzInternational Rice Research Institute, Los Baños, Philippines.
K Anitha RamanInternational Rice Research Institute, Los Baños, Philippines.
Bertrand CollardInternational Rice Research Institute, Los Baños, Philippines.
Arvind KumarInternational Rice Research Institute, Los Baños, Philippines.
International Rice Research Institute · PHCambodia Development Resource Institute · KHIndian Institute of Rice Research · INBangladesh Rice Research Institute · BDInternational Crops Research Institute for the Semi-Arid Tropics · INNepal Agricultural Research Council · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

alternate wetting and dryingricerootwateryield

Identifiers

PMID29163604
PMCPMC5671499
OpenAlexW2765607945

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.