Accuracies of univariate and multivariate genomic prediction models in African cassava-Reference-Cited by-同舟云学术

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Accuracies of univariate and multivariate genomic prediction models in African cassava

Published:2017-12 Issue:1 Volume:49 Page:
ISSN:1297-9686
Container-title:Genetics Selection Evolution
language:en
Short-container-title:Genet Sel Evol

Author:

Okeke Uche Godfrey,Akdemir Deniz,Rabbi Ismail,Kulakow Peter,Jannink Jean-Luc

Funder

Bill and Melinda Gates Foundation

UKAid

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Animal Science and Zoology,General Medicine,Ecology, Evolution, Behavior and Systematics

Link

http://link.springer.com/content/pdf/10.1186/s12711-017-0361-y.pdf

Reference59 articles.

1. The International Plant Names Index (IPNI). http://www.ipni.org/ipni/idPlantNameSearch.do?id=351790-1 . Accessed 31 Oct 2015.

2. Taylor N, Chavarriaga P, Raemakers K, Siritunga D, Zhang P. Development and application of transgenic technologies in cassava. Plant Mol Biol. 2004;56:671–88.

3. Moorthy SN. Physicochemical and functional properties of tropical tuber starches: a review. Starch. 2002;54:559–92.

4. Balagopalan C. Cassava utilization in food, feed and industry. In: Hillocks RJ, Thresh JM, Bellotti AC, editors. Cassava: biology, production and utilization. Wallingford: CAB International; 2002. p. 301–18.

5. Henderson CR. Best linear unbiased estimation and prediction under a selection model. Biometrics. 1975;31:423–47.

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