Evidence map›Paper›PMID 36911820›Full record

ArticleFood science & nutrition2023

Evaluation of resistance and determination of stability of different sugar beet (

Abazar Rajabi, Masoud Ahmadi, Mohsen Bazrafshan, Mehdi Hassani, Ali Saremirad

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Article in Food science & nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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  8. Sweet potato (Heliyon · 2024
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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

5 authors.

Abazar RajabiSugar Beet Seed Institute (SBSI) Agricultural Research, Education and Extension Organization (AREEO) Karaj Iran.ORCID https://orcid.org/0000-0001-6492-3734
Masoud AhmadiKhorasan Razvi Agricultural and Natural Resources Research and Education Center Agricultural Research, Education and Extension Organization (AREEO) Mashhad Iran.
Mohsen BazrafshanFars Agricultural and Natural Resources Research and Education Center Agricultural Research, Education and Extension Organization (AREEO) Shiraz Iran.
Mehdi HassaniHamedan Agricultural and Natural Resources Research and Education Center Agricultural Research, Education and Extension Organization (AREEO) Hamedan Iran.
Ali SaremiradSugar Beet Seed Institute (SBSI) Agricultural Research, Education and Extension Organization (AREEO) Karaj Iran.ORCID https://orcid.org/0000-0002-2775-0288

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant diseases are considered one of the main factors reducing yield and quality of crops, which are constantly developing and creating more virulent races and cause the resistance of more genes to break. Identifying resistance sources and including them in breeding programs will improve resistant genotypes. Rhizomania is the most common, widespread, and devastating disease of sugar beet in Iran and worldwide. Breeding genotypes with disease resistance genes is one of the most important ways to deal with this destructive disease. Twenty sugar beet genotypes along with five controls were evaluated in a randomized complete block design with four replications in rhizomania-infected conditions in four regions of Mashhad, Shiraz, Miandoab, and Hamedan for 2 years. The results of genotypic reaction to rhizomania showed that the genotypes with resistance reaction were much more frequent than those with susceptibility reaction. The analysis of multiplicative effects of the AMMI model showed that the first six components were significant and explained 98.80% of the interaction variations. The biplot obtained from the mean white sugar yield and the first interaction principal component confirmed the superiority of the RM5 genotype due to its high white sugar yield and stability in infected conditions. The results obtained from the first three principal components biplot showed that the RM9 genotype with a mean white sugar yield of 11.91 t. ha

Indexed as

adaptationgeneinfectionracesusceptibility

Identifiers

PMID36911820
PMCPMC10002986

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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.