Evidence map›Paper›PMID 26579183›Full record

ArticleFrontiers in plant science2015

Quantitative genetic analysis of agronomic and morphological traits in sorghum, Sorghum bicolor.

Riyazaddin Mohammed, Ashok K Are, Ramaiah Bhavanasi, Rajendra S Munghate, Polavarapu B Kavi Kishor, Hari C Sharma

Abstract read
In one paragraph

Article in Frontiers in plant science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

9 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

6 authors.

Riyazaddin MohammedInternational Crops Research Institute for the Semi-Arid Tropics Patancheru, India ; Department of Genetics, Osmania University Hyderabad, India.
Ashok K AreInternational Crops Research Institute for the Semi-Arid Tropics Patancheru, India.
Ramaiah BhavanasiInternational Crops Research Institute for the Semi-Arid Tropics Patancheru, India.
Rajendra S MunghateInternational Crops Research Institute for the Semi-Arid Tropics Patancheru, India.
Polavarapu B Kavi KishorDepartment of Genetics, Osmania University Hyderabad, India.
Hari C SharmaInternational Crops Research Institute for the Semi-Arid Tropics Patancheru, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The productivity in sorghum is low, owing to various biotic and abiotic constraints. Combining insect resistance with desirable agronomic and morphological traits is important to increase sorghum productivity. Therefore, it is important to understand the variability for various agronomic traits, their heritabilities and nature of gene action to develop appropriate strategies for crop improvement. Therefore, a full diallel set of 10 parents and their 90 crosses including reciprocals were evaluated in replicated trials during the 2013-14 rainy and postrainy seasons. The crosses between the parents with early- and late-flowering flowered early, indicating dominance of earliness for anthesis in the test material used. Association between the shoot fly resistance, morphological, and agronomic traits suggested complex interactions between shoot fly resistance and morphological traits. Significance of the mean sum of squares for GCA (general combining ability) and SCA (specific combining ability) of all the studied traits suggested the importance of both additive and non-additive components in inheritance of these traits. The GCA/SCA, and the predictability ratios indicated predominance of additive gene effects for majority of the traits studied. High broad-sense and narrow-sense heritability estimates were observed for most of the morphological and agronomic traits. The significance of reciprocal combining ability effects for days to 50% flowering, plant height and 100 seed weight, suggested maternal effects for inheritance of these traits. Plant height and grain yield across seasons, days to 50% flowering, inflorescence exsertion, and panicle shape in the postrainy season showed greater specific combining ability variance, indicating the predominance of non-additive type of gene action/epistatic interactions in controlling the expression of these traits. Additive gene action in the rainy season, and dominance in the postrainy season for days to 50% flowering and plant height suggested G X E interactions for these traits.

Indexed as

agronomic traitscombining abilityGCAgrain yieldheritabilitymorphological traitsSCAsorghum

Identifiers

PMID26579183
PMCPMC4630571

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