Evidence map›Paper›PMID 36575953›Full record

ArticleJournal of insect science (Online)2022

Inheritance of Two Traits With High Plasticity, Developmental Speed, and Body Size, in Tenebrio molitor (Coleoptera: Tenebrionidae).

Juan A Morales-Ramos, M Guadalupe Rojas, Damian Tweedy, Virginia Emery, Hans C Kelstrup

Abstract read
In one paragraph

Article in Journal of insect science (Online), 2022. 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

5 authors.

Juan A Morales-RamosUSDA-ARS, National Biological Control Laboratory, Biological Control of Pests Research Unit, Stoneville, MS 38776, USA.ORCID 0000-0002-3506-3859
M Guadalupe RojasUSDA-ARS, National Biological Control Laboratory, Biological Control of Pests Research Unit, Stoneville, MS 38776, USA.ORCID 0000-0002-1571-3041
Damian TweedyBeta Hatch Inc., 200 Titchenal Road, Cashmere, WA 98815, USA.
Virginia EmeryBeta Hatch Inc., 200 Titchenal Road, Cashmere, WA 98815, USA.
Hans C KelstrupBeta Hatch Inc., 200 Titchenal Road, Cashmere, WA 98815, USA.

Funding

USDD-DARPA, SBIR SB172-002, D2-2236
6 · The paper itself

Abstract

The study of inheritance of quantitative traits of high plasticity in insects has been limited. The heritability of larval development time and body weight in Tenebrio molitor L. was determined using the method of parent-offspring regression. The parental group of adults obtained from a cohort from one day of oviposition from a stock colony was divided into 28 class groups according to their larval development time and pupal weight. The progeny resulting from these parental classes was grouped in experimental units and allowed to develop to the pupal stage. Means of larval development time and pupal weight of the progeny were compared with their parental class levels using linear regression. The selection of larval development time and pupal weight in the parental classes had a significant impact on the means of larval development time and pupal weight of the progeny. The regression coefficients for larval development time and pupal weight were 0.626 ± 0.02 and 0.408 ± 0.02, respectively. These values represent the proportion of genetic determination of these two traits based on the principles of the method of parent-offspring regression. The apparent independence of larval development time and pupal weight based on their poor linear correlation is discussed.

Indexed as

ColeopteraTenebrioAnimalsBody SizeFemaleLarvaPupainsect as feedproductivityquantitative traitrearingyellow mealworm

Identifiers

PMID36575953
PMCPMC9795318

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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.