Classification-driven framework to predict maize hybrid field performance from metabolic profiles of young parental roots-Reference-Cited by-同舟云学术

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Classification-driven framework to predict maize hybrid field performance from metabolic profiles of young parental roots

Published:2018-04-26 Issue:4 Volume:13 Page:e0196038
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

de Abreu e Lima Francisco^ORCID,Willmitzer Lothar,Nikoloski Zoran

Funder

Bundesministerium für Bildung und Forschung

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference36 articles.

1. The effects of cross and self fertilisation in the vegetable kingdom;C Darwin,1876

2. The composition of a field of maize;GH Shull;Ann Breed Assoc,1908

3. Biotechnology in the 1930s: The development of hybrid maize;DN Duvick;Nature Reviews Genetics,2001

4. Heterosis;JA Birchler;Plant Cell,2010

5. Heterosis;EM East;Genetics,1936

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2. Plant biotechnology for sustainable agriculture and food safety;Journal of Plant Physiology;2021-06

3. Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data;Journal of Plant Physiology;2021-02

4. Research Article Support vector machines applied to the genetic classification problem of hybrid populations with high degrees of similarity;Genetics and Molecular Research;2018

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