Evidence map›Paper›PMID 39127859›Full record

ArticleScientific reports2024

Phenotypic diversity and population structure of Pecan (Carya illinoinensis) collections reveals geographic patterns.

Xinwang Wang, Larry Stein, Mark Black, Keith Kubenka, Jennifer Randall, Chen Ding

Abstract 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
–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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Comprehensive Evaluation of Five Pecan (Plants (Basel, Switzerland) · 2025
    Article
  8. Genetic Diversity of a WildCurrent issues in molecular biology · 2025
    Article
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

6 authors.

Xinwang WangUSDA ARS Pecan Breeding & Genetics, College Station, TX, 77845, USA. xinwang.wang@usda.gov.
Larry SteinTexas A&M University AgriLife Research and Extension Center, Uvalde, TX, 78802, USA.
Mark BlackTexas A&M University AgriLife Research and Extension Center, Uvalde, TX, 78802, USA.
Keith KubenkaUSDA ARS Pecan Breeding & Genetics, College Station, TX, 77845, USA.
Jennifer RandallEntomology, Plant Pathology, and Weed Science, New Mexico State University, Las Cruces, NM, 88003, USA.
Chen DingCollege of Forestry, Wildlife and Environment, Auburn University, Auburn, AL, 36849, USA.

Funding

the Texas Department of Agriculture (TDA) Specialty Crop Black Grant Program SC-1415-07the U.S. Department of Agriculture (USDA) Current Research Information System (CRIS) Pecan Breeding and Genetics Program 3091-21000-046-000-D
6 · The paper itself

Abstract

Pecan (Carya illinoinensis) is an economically important nut crop known for its genetic diversity and adaptability to various climates. Understanding the growth variability, phenological traits, and population structure of pecan populations is crucial for breeding programs and conservation. In this study, plant growth and phenological traits were evaluated over three consecutive seasons (2015-2017) for 550 genotypes from 26 provenances. Significant variations in plant height, stem diameter, and budbreak were observed among provenances, with Southern provenances exhibiting faster growth and earlier budbreak compared to Northern provenances. Population structure analysis using SNP markers revealed eight distinct subpopulations, reflecting genetic differentiation among provenances. Notably, Southern Mexico collections formed two separate clusters, while Western collections, such as 'Allen 3', 'Allen 4', and 'Riverside', were distinguished from others. 'Burkett' and 'Apache' were grouped together due to their shared maternal parentage. Principal component analysis and phylogenetic tree analysis further supported subpopulation differentiation. Genetic differentiation among the 26 populations was evident, with six clusters highly in agreement with the subpopulations identified by STRUCTURE and fastSTRUCTURE. Principal components analysis (PCA) revealed distinct groups, corresponding to subpopulations identified by genetic analysis. Discriminant analysis of PCA (DAPC) based on provenance origin further supported the genetic structure, with clear separation of provenances into distinct clusters. These findings provide valuable insights into the genetic diversity and growth patterns of pecan populations. Understanding the genetic basis of phenological traits and population structure is essential for selecting superior cultivars adapted to diverse environments. The identified subpopulations can guide breeding efforts to develop resilient rootstocks and contribute to the sustainable management of pecan genetic resources. Overall, this study enhances our understanding of pecan genetic diversity and informs conservation and breeding strategies for the long-term viability of pecan cultivation.

Indexed as

CaryaGenetic VariationPhenotypeGenetics, PopulationGenotypeMexicoPhylogenyPolymorphism, Single NucleotidePrincipal Component AnalysisGenetic diversityPecan (Carya illinoinensis)Phenological traitsPopulation structureRootstock breedingSNP markers

Identifiers

PMID39127859
PMCPMC11316781

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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.