Predicting wheat maturity and stay–green parameters by modeling spectral reflectance measurements and their contribution to grain yield under rainfed conditions-Reference-Cited by-同舟云学术

Predicting wheat maturity and stay–green parameters by modeling spectral reflectance measurements and their contribution to grain yield under rainfed conditions

Published:2016-09 Issue: Volume:196 Page:191-198
ISSN:0378-4290
Container-title:Field Crops Research
language:en
Short-container-title:Field Crops Research

Author:

Montazeaud Germain,Karatoğma Handan,Özturk Ibrahim,Roumet Pierre^ORCID,Ecarnot Martin,Crossa Jose,Özer Emel,Özdemir Fatih,Lopes Marta S.

Funder

French Agropolis Fondation

CGIAR Research Program (CRP) WHEAT

European Union

ITPGRFA

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science

Reference28 articles.

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2. Stay −green alleles individually enhance grain yield in sorghum under drought by modifying canopy development and water uptake patterns;Borrell;New Phytol.,2014

3. Phenotyping novel stay-green traits to capture genetic variation in senescence dynamics;Christopher;Funct. Plant Biol.,2014

4. Physiological traits for improving heat tolerance in wheat;Cossani;Plant Physiol.,2012

5. Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars;Erdle;Field Crops Res.,2011

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