Evidence map›Paper›PMID 39295194›Full record

ArticleThe plant genome2024

Deciphering the genetic basis of novel traits that discriminate useful and non-useful biomass to enhance harvest index in wheat.

Dipendra Shahi, Jia Guo, Md Ali Babar, Sumit Pradhan, Muhsin Avci, Naeem Khan, Jordan McBreen, Smita Rayamajhi, Zhao Liu, Guihua Bai and 7 more

Abstract read
In one paragraph

Article in The plant genome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

17 authors.

Dipendra ShahiSchool of Plant, Environmental and Soil Sciences, Louisiana State Agricultural Center, Baton Rouge, Louisiana, USA.
Jia GuoInari Agriculture, West Lafayette, Indiana, USA.
Md Ali BabarDepartment of Agronomy, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0001-9951-6856
Sumit PradhanDepartment of Agronomy, University of Florida, Gainesville, Florida, USA.
Muhsin AvciDepartment of Agronomy, University of Florida, Gainesville, Florida, USA.
Naeem KhanDepartment of Agronomy, University of Florida, Gainesville, Florida, USA.
Jordan McBreenDepartment of Agronomy, University of Florida, Gainesville, Florida, USA.
Smita RayamajhiDepartment of Agronomy, University of Florida, Gainesville, Florida, USA.
Zhao LiuDepartment of Agronomy, Kansas State University, Manhattan, Kansas, USA.
Guihua BaiDepartment of Agronomy, Kansas State University, Manhattan, Kansas, USA.ORCID https://orcid.org/0000-0002-1194-319X
Paul St AmandUSDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, Kansas, USA.
Amy BernardoUSDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, Kansas, USA.
Matthew ReynoldsCIMMYT International Maize and Wheat Improvement Center (CIMMYT), El Batan Texcoco, Mexico.
Gemma MoleroCIMMYT International Maize and Wheat Improvement Center (CIMMYT), El Batan Texcoco, Mexico.
Sivakumar SukumaranPlant & Environmental Sciences & Advanced Plant Technology Program, Clemson University, Clemson, South Carolina, USA.ORCID https://orcid.org/0000-0003-4088-4624
John FoulkesDivision of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Leicestershire, UK.
Jahangir KhanPARC-Balochistan Agricultural Research and Development Center, Quetta, Pakistan.

Funding

NIFA-AFRI (WheatCAP) 2022-68013-36439NIFA-IWYP 2017-67007-25929
6 · The paper itself

Abstract

Wheat (Triticum aestivum L.) production must be doubled in the next 25 years to meet the global food demand. Harvest index (HI) is an important indicator of efficient partitioning of photosynthetic assimilates to grains. Reducing competition from alternative sinks, such as stems, and deviating assimilates toward grain increase grain number (GN), HI, and grain yield (GY). Novel partitioning traits have great potential to be utilized in wheat breeding programs to increase HI. In this study, we evaluated 236 US facultative soft wheat genotypes for multiple stem and spike partitioning traits at 7 days after anthesis, and for GN, HI, and GY in two locations of Florida in 2016-2017 and 2017-2018 wheat growing seasons. The panel was genotyped with 20,706 single nucleotide polymorphisms generated by genotype-by-sequencing approach. Spike partitioning index (SPI) showed negative significant correlations with lamina partitioning index and true stem partitioning index. Internode 2 and 3 lengths and partitioning indices had significant negative correlations with SPI and HI. The results indicate enhanced competition for assimilates between spikes and second and third internodes during stem elongation. Genome-wide association study (GWAS) identified 114 unique significant marker-trait associations (MTAs) for 12 traits, and 58 MTAs were found within genes that encode different proteins related to biotic/abiotic stress tolerance and other functions. Significant MTAs identified in the GWAS were converted into kompetitive allele specific PCR markers. Some of the markers were validated and can be effectively employed in marker-assisted selection to improve HI, GY, and GN.

Indexed as

BiomassPolymorphism, Single NucleotideTriticumGenotypePhenotypePlant BreedingQuantitative Trait Loci

Identifiers

PMID39295194
PMCPMC11628932

What Socratic holds

Textmetadata
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.