Investigation of The Relationship Between NDVI, SPAD and CM-1000 Chlorophyll Meter Measured at Different Developmental Stages of Bread Wheat Genotypes

This study, conducted at Teknobiltar R&D's research station during the 2018-2019 wheat growing season, investigates the relationship between NDVI, SPAD, and CM-1000 chlorophyll meter readings at various developmental stages of bread wheat. A randomized complete block design with three replications was utilized. Normalized Difference Vegetation Index (NDVI), leaf chlorophyll content (SPAD reading), and canopy chlorophyll content (CM1000) measurements were taken at heading, anthesis, and maturity. NDVI was assessed with the handheld Greenseeker, SPAD with the SPAD-502 meter and vegetation chlorophyll content with the CM-1000. The genotype of Lucilla consistently exhibited higher SPAD and CM-1000 values, indicating superior photosynthetic capacity. Lucilla also showed consistently high NDVI, SPAD, and CM1000 values, suggesting its potential for high-quality production. Strong positive correlations were found between measurements of the same parameter at different growth stages, demonstrating consistency and reliability for crop health monitoring. The results indicate significant variation among genotypes for these parameters, which were also correlated with grain yield and quality traits such as protein content, wet gluten, and test weight. The findings underscore the importance of selecting genotypes with favorable physiological traits for wheat breeding programs.

Authors

Institutions

Publication Details

Journal
Wheat Studies
Published
2025-04-11
DOI
https://doi.org/10.58621/wsj.1645576
Citations
3
Primary Topic
Genetics and Plant Breeding
Type
article
Field-Weighted Citation Impact
5.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of The Relationship Between NDVI, SPAD and CM-1000 Chlorophyll Meter Measured at Different Developmental Stages of Bread Wheat Genotypes

Seval Eliş, Merve Bayhan, Remzi ÖZKAN, Negar Ebrahim Pour Mokhtari et al.
3 citations
Wheat Studies
Genetics and Plant Breeding
5.25
article

Investigation of The Relationship Between NDVI, SPAD and CM-1000 Chlorophyll Meter Measured at Different Developmental Stages of Bread Wheat Genotypes

Seval Eliş, Merve Bayhan, Remzi ÖZKAN, Negar Ebrahim Pour Mokhtari, Ferhat KIZILGEÇİ, Mehmet YILDIRIM
article en
3 citations

Abstract

This study, conducted at Teknobiltar R&D's research station during the 2018-2019 wheat growing season, investigates the relationship between NDVI, SPAD, and CM-1000 chlorophyll meter readings at various developmental stages of bread wheat. A randomized complete block design with three replications was utilized. Normalized Difference Vegetation Index (NDVI), leaf chlorophyll content (SPAD reading), and canopy chlorophyll content (CM1000) measurements were taken at heading, anthesis, and maturity. NDVI was assessed with the handheld Greenseeker, SPAD with the SPAD-502 meter and vegetation chlorophyll content with the CM-1000. The genotype of Lucilla consistently exhibited higher SPAD and CM-1000 values, indicating superior photosynthetic capacity. Lucilla also showed consistently high NDVI, SPAD, and CM1000 values, suggesting its potential for high-quality production. Strong positive correlations were found between measurements of the same parameter at different growth stages, demonstrating consistency and reliability for crop health monitoring. The results indicate significant variation among genotypes for these parameters, which were also correlated with grain yield and quality traits such as protein content, wet gluten, and test weight. The findings underscore the importance of selecting genotypes with favorable physiological traits for wheat breeding programs.

Wheat StudiesVol. 13(2)
Dicle University (TR), Osmaniye Korkut Ata University (TR), Mardin Artuklu University (TR)
Openalex Percentile: Top 5%
Genetics and Plant Breeding
5.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.