Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation. (Q35677058)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26121133%20AND%20SRC:MED&resulttype=core&format=json

18 February 2020

title

Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation (English)

1 reference

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18 February 2020

main subject

Growth Models

0 references

whole genome sequencing

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4

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18 February 2020

3

L Radu Totir

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18 February 2020

author name string

Frank Technow

series ordinal

1

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18 February 2020

Carlos D Messina

series ordinal

2

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18 February 2020

language of work or name

English

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publication date

29 June 2015

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18 February 2020

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18 February 2020

volume

10

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18 February 2020

page(s)

e0130855

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18 February 2020

issue

6

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Creative Commons Attribution 4.0 International

18 February 2020

copyright license

start time

29 June 2015

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

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12 July 2018

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12 July 2018

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12 July 2018

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12 July 2018

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12 July 2018

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12 July 2018

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12 July 2018

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12 July 2018

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12 July 2018

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12 July 2018

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12 July 2018

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Are source and sink strengths genetically linked in maize plants subjected to water deficit? A QTL study of the responses of leaf growth and of Anthesis-Silking Interval to water deficit.

12 July 2018

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12 July 2018

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12 July 2018

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Combining quantitative trait Loci analysis and an ecophysiological model to analyze the genetic variability of the responses of maize leaf growth to temperature and water deficit.

12 July 2018

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12 July 2018

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25 September 2018

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25 September 2018

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12 December 2020

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12 December 2020

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12 December 2020

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12 December 2020

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18 February 2020

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18 February 2020

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