Evidence map›Paper›PMID 38316821›Full record

ArticleScientific reports2024

AMMI and GGE biplot analysis of genotype by environment interaction for yield and yield contributing traits in confectionery groundnut.

Praveen Kona, B C Ajay, K Gangadhara, Narendra Kumar, Raja Ram Choudhary, M K Mahatma, Sushmita Singh, Kiran K Reddy, S K Bera, Chandramohan Sangh and 3 more

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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
18.6field-weighted citation impact, top 1% 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

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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

22 citing papers in PubMed, 31 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

13 authors at 4 institutions in 1 country.

Praveen KonaICAR-Directorate of Groundnut Research, Junagadh, Gujarat, 362001, India. praveenkona61@gmail.com.
B C AjayRRS, ICAR-Directorate of Groundnut Research, Ananthapur, Andhra Pradesh, India.
K GangadharaRRS, ICAR-Central Tobacco Research Institute, Kandukur, Andhra Pradesh, India.
Narendra KumarRRS, ICAR-Directorate of Groundnut Research, Bikaner, Rajasthan, India.
Raja Ram ChoudharyRRS, ICAR-Directorate of Groundnut Research, Bikaner, Rajasthan, India.
M K MahatmaICAR-National Research Centre on Seed Spices, Ajmer, Rajasthan, India.
Sushmita SinghICAR-Directorate of Groundnut Research, Junagadh, Gujarat, 362001, India.
Kiran K ReddyICAR-Directorate of Groundnut Research, Junagadh, Gujarat, 362001, India.
S K BeraICAR-Directorate of Groundnut Research, Junagadh, Gujarat, 362001, India.
Chandramohan SanghICAR-Directorate of Groundnut Research, Junagadh, Gujarat, 362001, India.
Kirti RaniICAR-National Bureau of Plant Genetic Resources Regional Station, Jodhpur, Rajasthan, India.
Zarana ChavadaICAR-Directorate of Groundnut Research, Junagadh, Gujarat, 362001, India.
K D SolankiICAR-Directorate of Groundnut Research, Junagadh, Gujarat, 362001, India.
Directorate of Groundnut Research · INCentral Tobacco Research Institute · INNational Bureau of Plant Genetic Resources · INNational Research Centre on Seed Spices · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global market has a high demand for premium edible grade groundnut, particularly for table use. India, in particular, exhibits significant potential for exporting confectionary grade large seeded groundnut. The environment plays a significant impact in influencing the expression of seed traits, which subsequently affects the confectionary quality of groundnut genotypes. The states of Gujarat and Rajasthan in India are prominent producers of high-quality groundnuts specifically used for confectionary purposes. The current study was conducted with 43 confectionery groundnut genotypes at Junagadh, Gujarat, and Bikaner, Rajasthan, with the goals of understanding genotype-by-environment interaction (GEI) effects and identifying stable, high yielding confectionery quality groundnut genotypes using AMMI and GGE biplot models. Pod yield per plant (PYP), number of pods per plant (NPP), hundred kernel weight (HKW), and shelling percent (SP) were estimated. The interplay between the environment and genotype has had a notable impact on the manifestation of confectionary grade characteristics in peanuts. The results from the Interaction Principal Component Analysis (IPCA) indicate that HKW contributed 76.68% and 18.95% towards the Global Environmental Index (GEI) through IPCA1 and IPCA2, respectively. Similarly, NPP contributed 87.52% and 8.65%, PYP contributed 95.87% and 2.1%, and SP contributed 77.4% and 16.22% towards GEI through IPCA1 and IPCA2, respectively. Based on the ranking of genotypes, the ideal genotypes were PBS 29079B for HKW, PBS 29230 for NPP. The genotypes PBS 29233 and PBS 29230 exhibited superior performance and stability in terms of pod yield, hundred kernel weight, number of pods per plant, and shelling percentage across various sites. These breeding lines have the potential to be developed for the purpose of producing confectionary grade groundnut with larger seeds, in order to fulfil the growing demand for export.

Indexed as

AmmiGene-Environment InteractionGenotypeIndiaPlant Breeding

Identifiers

PMID38316821
PMCPMC10844612
OpenAlexW4391532188

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Textmetadata
LicenceCC BY
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Registered trials

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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.