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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Association of digital photo parameters and NDVI with winter wheat grain yield in variable environments
Turkish Journal of Agriculture and Forestry, Volume 38, No. 5, Year 2014
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Description
The normalized difference vegetation index (NDVI) is gaining popularity as a complementary selection tool, even though it requires an instrument not readily available in the developing world. We evaluated several parameters (originating from the analysis of digital photos using BreedPix software) as potential selection criteria in 23 winter wheat yield trials grown over 4 years at 2 sites. NDVI and digital photos were taken at key development stages from stem elongation to maturity. The correlations between digital photo parameters a and u and grain yield, as well as correlations between NDVI and grain yield within individual trials, varied depending on crop stage, moisture availability, and germplasm composition. NDVI, photo-a, and photo-u parameters had equal power in distinguishing high- and low-yielding genotypes in the trials and were significantly associated with yield in approximately 50% of all observations. The association of vegetative indices with grain yield can be improved by evaluating germplasm with a similar maturity range. An important challenge is in utilizing these tools in unreplicated small plots, including head rows where selection efficiency is low. © TÜBİTAK.
Authors & Co-Authors
Morgunov, Alexey I.
Turkey, Ankara
International Maize and Wheat Improvement Center Cimmyt
Gummadov, Nurberdy
Turkey, Ankara
International Maize and Wheat Improvement Center Cimmyt
Belen, Savaş
Turkey, Eskisehir
Transitional Zone Agricultural Research Institute
Kaya, Yüksel
Turkey, Konya
Bahri Dagdas International Agricultural Research Institute
Keser, Mesut
Lebanon, Beirut
International Center for Agricultural Research in the Dry Areas Syria
Mursalova, Jamala
Turkey, Ankara
International Maize and Wheat Improvement Center Cimmyt
Statistics
Citations: 26
Authors: 6
Affiliations: 4
Identifiers
Doi:
10.3906/tar-1312-90
ISSN:
1300011X