Evidence map›Paper›PMID 35303032›Full record

ArticlePloS one2022

Field screening of diverse wheat germplasm for determining their adaptability to semi-arid climatic conditions.

Shahzadi Mahpara, Muhammad Shafqat Bashir, Rehmat Ullah, Muhammad Bilal, Salma Kausar, Muhammad Imran Latif, Muhammad Arif, Imran Akhtar, Marian Brestic, Ali Tan Kee Zuan and 3 more

RetractedAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Shahzadi MahparaDepartment of Plant Breeding and Genetics, Faculty of Agricultural Sciences, Ghazi University Dera Ghazi Khan, Dera Ghazi Khan, Pakistan.
Muhammad Shafqat BashirDepartment of Plant Breeding and Genetics, Faculty of Agricultural Sciences, Ghazi University Dera Ghazi Khan, Dera Ghazi Khan, Pakistan.ORCID 0000-0002-7512-6631
Rehmat UllahSoil and Water Testing Laboratory for Research, Dera Ghazi Khan, Punjab, Pakistan.
Muhammad BilalSoil and Water Testing Laboratory for Research, Dera Ghazi Khan, Punjab, Pakistan.
Salma KausarSenior Scientist (Agri Chemistry), Soil and Water Testing Laboratory, Lodhran, Pakistan.
Muhammad Imran LatifScientific Officer, Soil and Water Testing Laboratory, Narowal, Pakistan.
Muhammad ArifScientific Officer (Lab), Soil and Water Testing Laboratory, Layyah, Pakistan.
Imran AkhtarSenior scientist (Ento), Regional Agriculture Research Institute, Bahawalpur, Pakistan.
Marian BresticDepartment of Plant Physiology, Slovak University of Agriculture, Nitra, Slovakia.ORCID 0000-0003-3470-6100
Ali Tan Kee ZuanDepartment of Land Management, Faculty of Agriculture, Universiti Putra Malaysia, Selangor, Malaysia.ORCID 0000-0003-0473-4303
Ehab A A SalamaAgricultural Botany Department, Faculty of Agriculture Saba Basha, Alexandria University, Alexandria, Egypt.
Abdulrahman Al-HashimiDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Alanoud AlfaghamDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0001-9008-3679

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat (Triticum aestivum L.) is an important staple food crop for one third of global population and important crop for securing future food security. Rapid changes in the climate on global scale could be a threat for future food security. This situation urges plant breeders to explore the genetic potential of existing wheat germplasm. This study screened forty diverse wheat genotypes for their yield under two different agroclimatic conditions, i.e., Layyah and Dera Ghazi Khan, Pakistan. Data relating to plant height, peduncle length, flag leaf area, spike length, number of spikelets, number of grains per spike, thousand grain weight, chlorophyll content and grain yield were recorded. The tested wheat genotypes significantly differed for grain yield and related traits. Grain yield was positively correlated with plant height, spike length, spike number, flag leaf length, number of grains per spike, and 1000-grain weight. Biplot obtained from the cluster analysis by Euclidean method grouped the studied genotypes in 3 different groups. The genotypes exhibited 10.77% variability within quadrants, whereas 72.36% variability was recorded between quadrants according to clustering. Dendrogram grouped the tested genotypes into two main clusters. The main cluster "I" comprised of 2 genotypes, i.e., 'Seher-2006' and 'AS-2002'. The cluster "II" contained 38 genotypes based on Euclidian values. Genotypes within same cluster had smaller D2 values compared to those belonging to other clusters. The genetic relationships of genotypes provide useful information for breeding programs. Overall, the results revealed that genotypes 'Line 9733', 'Bhakar-2002', 'Line A9' and 'SYN-46' had better yield and yield stability under climatic conditions of southern Punjab. Therefore, these genotypes could be recommended for general cultivation in the study region.

Indexed as

Plant BreedingTriticumEdible GrainGenotypePhenotype

Identifiers

PMID35303032
PMCPMC8932620

What Socratic 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 Socratic graph.