查看更多>>摘要：The ability of crop models to decompose complex traits and integrate the underlying processes enables them to capture genotype-environment interactions in diverse environments. Integrating genomics with biophysical crop models represents a potential breakthrough technology for improving our understanding of genotypeenvironment interactions across the biological organization. We present the results of a multi-model analysis on integrating crop modeling with genomic prediction. Seven rice models were evaluated on their ability to predict days to flowering in ten environments from parameters estimated through genome-wide association and genomic prediction, using a 13-fold cross-validation scheme. Phenotypic data were based on a rice diversity panel of 169 accessions with 700k markers. Significant associations with known flowering genes were identified for several model parameters. Although high accuracy was achieved for genomic prediction of model parameters in calibration, prediction accuracy was low for untested genotypes. We observed divergent model performance using genomic-predicted model parameters, which was attributed to photoperiod and temperature response curves, and number of calibrated model parameters. Several areas were identified for further research that could lead to better understanding the genetic control of complex trait formation and improved integration of genomics with crop modeling.
Muller, OnnoHerrera, Juan M.Bentley, Alison R.Janni, Michela...
9页
查看更多>>摘要：The challenges of securing future food security will require deployment of innovative technologies to accelerate crop production. Plant phenotyping methods have advanced significantly, spanning low-cost hand-held devices to large-scale satellite imaging. Field-based phenotyping aims to capture plant response to the environment, generating data that can be used to inform breeding and selection requirements. This in turn requires access to multiple representative locations and capacities for collecting useful information. In this paper we identify the current challenges in access to field phenotyping in multiple locations in Europe based on stakeholder feedback. We present a map of current infrastructure and propose opportunities for greater integration of existing facilities for meeting different user requirements. We also review the currently available technology and data requirements for effective multi-location field phenotyping and provide recommendations for ensuring future access and co-ordination. Taken together we provide an overview of the current status of European field phenotyping capabilities and provides a roadmap for their future use to support crop improvement. This provides a wider framework for the analysis and planning of field phenotyping activities for crop improvement worldwide.
NSTL
Elsevier