High-throughput phenotyping technologies allow accurate selection of stay-green

被引：71
|
作者：
Rebetzke, Greg J. [1 ]
Jimenez-Berni, Jose A. [1 ,2 ]
Bovill, William D. [1 ]
Deery, David M. [1 ]
James, Richard A. [1 ]
机构：
[1] CSIRO Agr & Food, POB 1700, Canberra, ACT 2601, Australia
[2] CSIRO Agr & Food, High Resolut Plant Phen Ctr, Australian Plant Phen Facil, POB 1700, Canberra, ACT 2601, Australia
来源：
JOURNAL OF EXPERIMENTAL BOTANY | 2016年 / 67卷 / 17期
关键词：
Climate change; crop adaptation; crop breeding; drought; genotype x environment interaction; leaf senescence; phenotyping; stay-green; wheat; WHEAT; TEMPERATURE; ADAPTATION; NITROGEN; TRAITS; CROPS;
D O I：
10.1093/jxb/erw301
中图分类号：
Q94 [植物学];
学科分类号：
071001 ;
摘要：
Improved genotypic performance in water-limited environments relies on traits, like 'stay-green', that are robust and repeatable, correlate well across a broader range of target environments and are genetically more tractable than assessment of yield per se. Christopher et al. (see pages 5159-5172) used multi-temporal, Normalised Difference Vegetative Index (NDVI) measurements with crop simulation modelling to demonstrate the value of various stay-green phenotype parameters for improving grain yield across different environment types.
引用
收藏
页码：4919 / 4924
页数：7
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