Incorporating genome-wide association into eco-physiological simulation to identify markers for improving rice yields

Author:

Kadam Niteen N12,Jagadish S V Krishna23,Struik Paul C1,van der Linden C Gerard4,Yin Xinyou1ORCID

Affiliation:

1. Centre for Crop Systems Analysis, Department of Plant Sciences, Wageningen University & Research, AK Wageningen, The Netherlands

2. International Rice Research Institute, Metro Manila, Philippines

3. Department of Agronomy, Kansas State University, Manhattan, KS, USA

4. Plant Breeding, Department of Plant Sciences, Wageningen University & Research, AJ Wageningen, The Netherlands

Funder

Wageningen University Fund

The Federal Ministry for Economic Cooperation and Development

USAID-Bill & Melinda Gates Foundation

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Physiology

Reference62 articles.

1. Partial least squares (PLS) regression.;Abdi,2003

2. Stress indices and selectable traits in SALTOL QTL introgressed rice genotypes for reproductive stage tolerance to sodicity and salinity stresses;Ali;Field Crops Research,2013

3. Salinity tolerance loci revealed in rice using high-throughput non-invasive phenotyping;Al-Tamimi;Nature Communications,2016

4. Predicting maize kernel number using QTL information;Amelong;Field Crops Research,2015

5. The effect of drought and heat stress on reproductive processes in cereals;Barnabás;Plant, Cell & Environment,2008

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