Evidence map›Paper›PMID 38658570›Full record

ArticleScientific reports2024

Country-wide, multi-location trials of Green Super Rice lines for yield performance and stability analysis using genetic and stability parameters.

Muhammad Shahzad Ahmed, Abid Majeed, Kotb A Attia, Rana Arsalan Javaid, Faiza Siddique, Muhammad Shahbaz Farooq, Muhammad Uzair, Seung Hwan Yang, Asmaa M Abushady

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

9 authors at 5 institutions in 5 countries.

Muhammad Shahzad AhmedRice Research Program, Crop Sciences Institute, National Agricultural Research Center, Islamabad, Pakistan. shahzad@parc.gov.pk.ORCID 0000-0002-6172-7452
Abid MajeedRice Research Program, Crop Sciences Institute, National Agricultural Research Center, Islamabad, Pakistan.
Kotb A AttiaDepartment of Biochemistry, College of Science King Saud University, P.O. Box 11451, Riyadh, Saudi Arabia.
Rana Arsalan JavaidRice Research Program, Crop Sciences Institute, National Agricultural Research Center, Islamabad, Pakistan.
Faiza SiddiqueRice Research Program, Crop Sciences Institute, National Agricultural Research Center, Islamabad, Pakistan.
Muhammad Shahbaz FarooqRice Research Program, Crop Sciences Institute, National Agricultural Research Center, Islamabad, Pakistan.
Muhammad UzairNational Institute for Genomics and Advanced Biotechnology (NIGAB), National Agriculture Research Centre (NARC), Park Road, Islamabad, Pakistan.
Seung Hwan YangDepartment of Biotechnology, Chonnam National University, Yeosu, 59626, Republic of Korea. ymichigan@jnu.ac.kr.
Asmaa M AbushadyBiotechnology School, 26th of July Corridor, Nile University, Sheikh Zayed City, 12588, Giza, Egypt.
Pakistan Agricultural Research Council · PKAin Shams University · EGChonnam National University · KRJiangsu University · CNKing Saud University · SA

Funding

King Saud University, Riyadh, Saudi Arabia RSP-2023R369
6 · The paper itself

Abstract

Rice (Oryza sativa L.) is an important member of the family Poaceae and more than half of world population depend for their dietary nutrition on rice. Rice cultivars with higher yield, resilience to stress and wider adaptability are essential to ensure production stability and food security. The fundamental objective of this study was to identify higher-yielding rice genotypes with stable performance and wider adaptability in a rice growing areas of Pakistan. A triplicate RCBD design experiment with 20 Green Super Rice (GSR) advanced lines was conducted at 12 rice growing ecologies in four Provinces of Pakistan. Grain yield stability performance was assessed by using different univariate and multivariate statistics. Analysis of variance revealed significant differences among genotypes, locations, and G x E interaction for mean squares (p < 0.05) of major yield contributing traits. All the studied traits except for number of tillers per plant revealed higher genotypic variance than environmental variance. Broad sense heritability was estimated in the range of 44.36% to 98.60%. Based on ASV, ASI, bi, Wi

Indexed as

GenotypeOryzaEdible GrainGene-Environment InteractionPakistanPhenotypePlant BreedingQuantitative Trait, HeritableG × E interactionGGE biplotPaddy yieldRiceStability

Identifiers

PMID38658570
PMCPMC11043415
OpenAlexW4395074589

What OpenQuestion holds

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LicenceCC BY
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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.