Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat-Reference-Cited by-同舟云学术

Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat

Published:2018-10-19 Issue:1 Volume:132 Page:177-194
ISSN:0040-5752
Container-title:Theoretical and Applied Genetics
language:en
Short-container-title:Theor Appl Genet

Author:

Juliana Philomin^ORCID,Montesinos-López Osval A.,Crossa José,Mondal Suchismita,González Pérez Lorena,Poland Jesse,Huerta-Espino Julio,Crespo-Herrera Leonardo,Govindan Velu,Dreisigacker Susanne,Shrestha Sandesh,Pérez-Rodríguez Paulino,Pinto Espinosa Francisco,Singh Ravi P.

Funder

Bill and Melinda Gates Foundation

USAID

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Agronomy and Crop Science,General Medicine,Biotechnology

Link

http://link.springer.com/article/10.1007/s00122-018-3206-3/fulltext.html

Reference109 articles.

1. Akdemir D, Okeke UG (2015) EMMREML: fitting mixed models with known covariance structures. R package version 3.1. https://cran.r-project.org/package=EMMREML

2. Albers H, Gornott C, Hüttel S (2017) How do inputs and weather drive wheat yield volatility? the example of Germany. Food Policy 70:50–61. https://doi.org/10.1016/j.foodpol.2017.05.001

3. Andrade-Sanchez P, Gore MA, Heun JT, Thorp KR, Carmo-Silva AE, French AN et al (2014) Development and evaluation of a field-based high-throughput phenotyping platform. Funct Plant Biol 41:68–79. https://doi.org/10.1071/FP13126

4. Aparicio N, Villegas D, Casadesus J, Araus JL, Royo C (2000) Spectral vegetation indices as nondestructive tools for determining durum wheat yield. Agron J 92:83–91. https://doi.org/10.2134/agronj2000.92183x

5. Araus JL, Slafer GA, Reynolds MP, Royo C (2002) Plant breeding and drought in C3 cereals: what should we breed for? Ann Bot 89:925–940. https://doi.org/10.1093/aob/mcf049

Cited by 81 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. Functional phenomics and genomics: Unravelling heat stress responses in wheat;Plant Stress;2024-09

2. Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunities;Global Change Biology;2024-08

3. GWAS elucidated grain yield genetics in Indian spring wheat under diverse water conditions;Theoretical and Applied Genetics;2024-07-07

4. Enhancing the potential of phenomic and genomic prediction in winter wheat breeding using high-throughput phenotyping and deep learning;Frontiers in Plant Science;2024-05-30

5. Genomic selection in plant breeding: Key factors shaping two decades of progress;Molecular Plant;2024-04