Evidence map›Paper›PMID 42280766›Full record

ArticlePlants (Basel, Switzerland)2026

Genetic Variation in Seed Size in an Introgression Line Population of Upland Cotton.

Savyata Kandel, Linghe Zeng, Jane Dever, Carol Kelly, Derek Whitelock, Jinfa Zhang

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Savyata KandelDepartment of Plant and Environmental Sciences, New Mexico State University, 945 College Drive, Las Cruces, NM 88003, USA.ORCID 0000-0003-1289-4753
Linghe ZengCrops Genetics Research Unit, Agricultural Research Service, United States Department of Agriculture, Stoneville, MS 38766, USA.
Jane DeverPee Dee Research and Education Center, Clemson University, Florence, SC 29505, USA.ORCID 0000-0003-0285-2189
Carol KellyTexas A & M Agrilife Research and Extension Center, Lubbock, TX 79403, USA.ORCID 0000-0002-3002-149X
Derek WhitelockSouthwestern Cotton Ginning Research Laboratory, Las Cruces, NM 88005, USA.ORCID 0000-0003-2799-5231
Jinfa ZhangDepartment of Plant and Environmental Sciences, New Mexico State University, 945 College Drive, Las Cruces, NM 88003, USA.

Funding

Agricultural Experiment Station SC-1700667USDA-ARS cooperative 58-6066-2-043 and 58-3050-4-008USDA-NIFA 2022-67014-45000
6 · The paper itself

Abstract

Upland cotton is an important fiber and oilseed crop. Cottonseed size, measured by seed index, is an important seed quality trait that affects seed germination, seedling vigor, fiber yield, and cottonseed nutrient content. However, genetic variation in cottonseed size is highly limited within upland cotton, limiting the genetic gain in cottonseed size. Introgression breeding can alleviate this bottleneck effect by introducing desirable genes from pima to upland cotton. This study was conducted to analyze the seed size from both fuzzy and acid-delinted seeds and to assess the appropriate cottonseed size. In 2022, a population of 1600 cotton introgression lines (ILs) was grown at Leyendecker Plant Science Center, NMSU, while three field tests were conducted in 2023, including NM with all the ILs and MS and TX each with 1000 ILs. The analysis of variance of seed size showed that genotypic and environmental variation were found in both types of seeds. The acid-delinted and fuzzy cottonseeds had a mean seed index of 9.58 g and 11.26 g, while the broad sense heritability was 0.56 and 0.32, respectively. Furthermore, the seed index was not significantly correlated with cottonseed oil and different fatty acids.

Indexed as

acid-delinted seedcorrelationcottonseed indexfuzzyintrogression

Identifiers

PMID42280766
PMCPMC13258849

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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.