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

页码：4919 / 4924

页数：7

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