Evidence map›Paper›PMID 21360157›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2011

Wild sorghum from different eco-geographic regions of Kenya display a mixed mating system.

Moses M Muraya, Evans Mutegi, Hartwig H Geiger, Santie M de Villiers, Fabrice Sagnard, Ben M Kanyenji, Dan Kiambi, Heiko K Parzies

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2011. 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

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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.

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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

8 authors.

Moses M MurayaLeibniz Institute of Plant Genetics and Crop Plant Research, Corrensstrasse 3, Gatersleben, Germany. mahugu2002@yahoo.com
Evans Mutegi
Hartwig H Geiger
Santie M de Villiers
Fabrice Sagnard
Ben M Kanyenji
Dan Kiambi
Heiko K Parzies

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of mating systems is required in order to understand the genetic composition and evolutionary potential of plant populations. Outcrossing in a population may co-vary with the ecological and historical factors influencing it. However, literature on the outcrossing rate is limited in terms of wild sorghum species coverage and eco-geographic reference. This study investigated the outcrossing rates in wild sorghum populations from different ecological conditions of Kenya. Twelve wild sorghum populations were collected in four sorghum growing regions. Twenty-four individuals per population were genotyped using six polymorphic simple sequence repeat (SSR) markers to compute their indirect equilibrium estimates of outcrossing rate as well as population structure. In addition, the 12 populations were planted in a field in a randomised block design with five replications. Their progeny (250 individuals per population) were genotyped with the six SSR markers to estimate multi-locus outcrossing rates. Equilibrium estimates of outcrossing rates ranged from 7.0 to 75.0%, while multi-locus outcrossing rates (t (m)) ranged from 8.9 to 70.0% with a mean of 49.7%, indicating that wild sorghum exhibits a mixed mating system. The wide range of estimated outcrossing rates in wild sorghum populations indicate that environmental conditions may exist under which fitness is favoured by outcrossing and others under which selfing is more advantageous. The genetic structure of the populations studied is concordant with that expected for a species displaying mixed mating system.

Indexed as

EnvironmentGenetics, PopulationGenotypeGeographyKenyaMinisatellite RepeatsReproductionSorghum

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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.