Abstract
Detection of senescence’s dynamics in crop breeding is time consuming and needs considerable details regarding its rate of progression and intensity. Normalized difference red-edge index (NDREI) along with four other spectral vegetative indices (SVIs) derived from unmanned aerial vehicle (UAV) based spatial imagery, were evaluated for rapid and accurate prediction of senescence. For this, 32 selected winter wheat genotypes were planted under full and limited irrigation treatments. Significant variations for all five SVIs: green normalize difference vegetation index (GNDVI), simple ratio (SR), green chlorophyll index (GCI), red-edge chlorophyll index (RECI), and normalized difference red-edge index (NDREI) among genotypes and between treatments, were observed from heading to late grain filling stages. The SVIs showed strong relationship (R2 = 0.69 to 0.78) with handheld measurements of chlorophyll and leaf area index (LAI), while negatively correlated (R2 = 0.75 to 0.77) with canopy temperature (CT) across the treatments. NDREI as a new SVI showed higher correlations with ground data under both treatments, similarly as exhibited by other four SVIs. There were medium to strong correlations (r = 0.23–0.63) among SVIs, thousand grain weight (TGW) and grain yield (GY) under both treatments. Senescence rate was calculated by decreasing values of SVIs from their peak values at heading stage, while variance for senescence rate among genotypes and between treatments could be explained by SVIs variations. Under limited irrigation, 10% to 15% higher senescence rate was detected as compared with full irrigation. Principle component analysis corroborated the negative association of high senescence rate with TGW and GY. Some genotypes, such as Beijing 0045, Nongda 5181, and Zhongmai 175, were selected with low senescence rate, stable TGW and GY in both full and limited irrigation treatments, nearly in accordance with the actual performance of these cultivars in field. Thus, SVIs derived from UAV appeared as a promising tool for rapid and precise estimation of senescence rate at maturation stages.
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Claims 9
Claim · model-written summary
All five spectral vegetation indices varied significantly among wheat genotypes and irrigation treatments from heading to late grain filling.
- Taxon
- Bread Wheat
Triticum aestivumt0 - Material
- genotypese0
- Organ / stage
- heading to late grain filling stagese0
- Outcome
- all five SVIse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Significant variations for all five SVIs: green normalize difference vegetation index (GNDVI), simple ratio (SR), green chlorophyll index (GCI), red-edge chlorophyll index (RECI), and normalized difference red-edge index (NDREI) among genotypes and between treatments, were observed from heading to late grain filling stages.”
t0“Bread Wheat”
Claim · model-written summary
The indices related strongly to handheld chlorophyll and leaf area index measurements, with R2 of 0.69 to 0.78.
- Taxon
- Bread WheatTriticum aestivumt0
- Outcome
- handheld measurements of chlorophyll and leaf area index (LAI)e0
- Value
- R2 = 0.69 to 0.78e0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The SVIs showed strong relationship (R2 = 0.69 to 0.78) with handheld measurements of chlorophyll and leaf area index (LAI)”
t0“Bread Wheat”
Claim · model-written summary
The indices were negatively correlated with canopy temperature across treatments, with R2 of 0.75 to 0.77.
- Taxon
- Bread WheatTriticum aestivumt0
- Treatment
- treatmentse0
- Outcome
- canopy temperature (CT)e0
- Direction
- negatively correlatede0
- Value
- R2 = 0.75 to 0.77e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“negatively correlated (R2 = 0.75 to 0.77) with canopy temperature (CT) across the treatments.”
e1“The SVIs showed strong relationship”
t0“Bread Wheat”
Claim · model-written summary
NDREI had higher correlations with ground data under both irrigation treatments.
- Taxon
- Bread WheatTriticum aestivumt0
- Outcome
- correlations with ground datae0
- Direction
- highere0
- Comparator
- other four SVIse1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“NDREI as a new SVI showed higher correlations with ground data under both treatments”
e1“other four SVIs”
t0“Bread Wheat”
Claim · model-written summary
Spectral indices had medium to strong correlations with thousand grain weight and grain yield under both treatments.
- Taxon
- Bread WheatTriticum aestivumt0
- Treatment
- both treatmentse0
- Outcome
- thousand grain weight (TGW) and grain yield (GY)e0
- Value
- r = 0.23–0.63e0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“medium to strong correlations (r = 0.23–0.63) among SVIs, thousand grain weight (TGW) and grain yield (GY) under both treatments.”
t0“Bread Wheat”
Claim · model-written summary
Variation in wheat senescence rate among genotypes and irrigation treatments could be explained by index variation.
- Taxon
- Bread WheatTriticum aestivumt0
- Material
- genotypese0
- Outcome
- variance for senescence ratee0
- Comparator
- between treatmentse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“variance for senescence rate among genotypes and between treatments could be explained by SVIs variations.”
t0“Bread Wheat”
Claim · model-written summary
Limited irrigation produced 10% to 15% higher senescence rate than full irrigation.
- Taxon
- Bread WheatTriticum aestivumt0
- Treatment
- limited irrigatione0
- Outcome
- senescence ratee0
- Direction
- highere0
- Value
- 10% to 15%e0
- Comparator
- full irrigatione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Under limited irrigation, 10% to 15% higher senescence rate was detected as compared with full irrigation.”
t0“Bread Wheat”
Claim · model-written summary
Higher senescence rate was negatively associated with thousand grain weight and grain yield.
- Taxon
- Bread WheatTriticum aestivumt0
- Organ / stage
- senescence ratee0
- Outcome
- TGW and GYe0
- Direction
- negativee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“negative association of high senescence rate with TGW and GY.”
e1“thousand grain weight (TGW) and grain yield (GY)”
t0“Bread Wheat”
Claim · model-written summary
Beijing 0045, Nongda 5181 and Zhongmai 175 were selected for low senescence rate and stable yield traits under both irrigation treatments.
- Taxon
- Bread WheatTriticum aestivumt0
- Material
- Beijing 0045, Nongda 5181, and Zhongmai 175e0
- Outcome
- low senescence rate, stable TGW and GYe0
- Comparator
- full and limited irrigation treatmentse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Beijing 0045, Nongda 5181, and Zhongmai 175, were selected with low senescence rate, stable TGW and GY in both full and limited irrigation treatments”
t0“Bread Wheat”
The same questions in other papers
irrigation · quality: postharvest · Triticum aestivum (wheat)Positive and negative results
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See all 9 papers →Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.