Within-family genomic selection in rubber tree (Hevea brasiliensis) increases genetic gain for rubber production-Reference-Cited by-同舟云学术

Within-family genomic selection in rubber tree (Hevea brasiliensis) increases genetic gain for rubber production

Published:2019-10 Issue: Volume:138 Page:111464
ISSN:0926-6690
Container-title:Industrial Crops and Products
language:en
Short-container-title:Industrial Crops and Products

Author:

Cros David^ORCID,Mbo-Nkoulou Luther,Bell Joseph Martin,Oum Jean,Masson Aurélien,Soumahoro Mouman,Tran Dinh Minh,Achour Zeineb,Le Guen Vincent^ORCID,Clement-Demange André

Funder

CETIC

Publisher

Elsevier BV

Subject

Agronomy and Crop Science

Reference69 articles.

1. Cartographie génétique de la famille F1 PB260 x RRIM600 (hevea brasiliensis) et détection de QTLs associés à la croissance;Achour,2014

2. Current trends of rubber plantation expansion may threaten biodiversity and livelihoods;Ahrends;Glob. Environ. Change,2015

3. A high-density genetic map and QTL mapping on growth and latex yield-related traits in Hevea brasiliensis Müll.ARg;An;Ind. Crops Prod.,2019

4. Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.);Auinger;Theor. Appl. Genet.,2016

5. Recurrent selection of tropical tree crops;Baudouin;Euphytica,1997

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Genomic Selection for Growth and Wood Traits in Castanopsis hystrix;Forests;2024-08-02

2. Linear mixed model approach in the evaluation of temporal stability of rubber yield of rubber tree genotypes under water stress;Journal of Rubber Research;2024-05-22

3. Unlocking genome-based prediction and selection in conifers: the key role of within-family prediction accuracy;2024-01-29

4. Mate selection: A useful approach to maximize genetic gain and control inbreeding in genomic and conventional oil palm (Elaeis guineensis Jacq.) hybrid breeding;PLOS Computational Biology;2023-09-11

5. Anatomical, chemical, molecular, and genetic basis for tree defenses;Forest Microbiology;2023