Relationship between SPAD value and grain yield can be affected by cultivar, environment and soil nitrogen content in wheat

Monostori, István; Árendás, Tamás; Hoffman, Borbála; Galiba, Gábor; Gierczik, Krisztián; Szira, Fruzsina; Vágújfalvi, Attila

doi:10.1007/s10681-016-1741-z

Cited by 76 publications

(63 citation statements)

References 27 publications

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“…There were differences between cultivars, for equivalent N treatments, of measurements made with the SPAD-502 and MC-100 chlorophyll meters, when the N supply was sufficient and excessive (N2 and N3 treatments), but not when the N supply was deficient (N1 treatment). There are previous reports of cultivar notably affecting SPAD measurements in wheat [30] and rice [32]. For the vegetation indices measured with the Crop Circle ACS-470 reflectance sensor, there were no consistent significant differences between cultivars.…”

Section: Discussionmentioning

confidence: 57%

“…Most of the research with proximal optical sensors to assess crop N status has been with a specific cultivar of a given species. Few reports have examined how differences between cultivars affect optical sensor measurements.Working with wheat, Monostori et al [30], reported that cultivar had a notable effect on the relationship between chlorophyll meter (SPAD-502) readings and grain yield. Similar results with wheat were obtained by Hoel [31] using the Hydro N-Tester chlorophyll meter.…”

mentioning

confidence: 99%

“…Working with wheat, Monostori et al [30], reported that cultivar had a notable effect on the relationship between chlorophyll meter (SPAD-502) readings and grain yield. Similar results with wheat were obtained by Hoel [31] using the Hydro N-Tester chlorophyll meter.…”

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confidence: 99%

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Effect of Cultivar on Chlorophyll Meter and Canopy Reflectance Measurements in Cucumber

Souza

Grasso

Peña-Fleitas

et al. 2020

Sensors

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Optical sensors can be used to assess crop N status to assist with N fertilizer management. Differences between cultivars may affect optical sensor measurement. Cultivar effects on measurements made with the SPAD-502 (Soil Plant Analysis Development) meter and the MC-100 (Chlorophyll Concentration Meter), and of several vegetation indices measured with the Crop Circle ACS470 canopy reflectance sensor, were assessed. A cucumber (Cucumis sativus L.) crop was grown in a greenhouse, with three cultivars. Each cultivar received three N treatments, of increasing N concentration, being deficient (N1), sufficient (N2) and excessive (N3). There were significant differences between cultivars in the measurements made with both chlorophyll meters, particularly when N supply was sufficient and excessive (N2 and N3 treatments, respectively). There were no consistent differences between cultivars in vegetation indices. Optical sensor measurements were strongly linearly related to leaf N content in each of the three cultivars. The lack of a consistent effect of cultivar on the relationship with leaf N content suggests that a unique equation to estimate leaf N content from vegetation indices can be applied to all three cultivars. Results of chlorophyll meter measurements suggest that care should be taken when using sufficiency values, determined for a particular cultivar

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Section: Discussionmentioning

confidence: 57%

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confidence: 99%

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Effect of Cultivar on Chlorophyll Meter and Canopy Reflectance Measurements in Cucumber

Souza

Grasso

Peña-Fleitas

et al. 2020

Sensors

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“…Moreover, it is only measured in the flag leaf, not across the canopy. Based on similar results, Monostori et al [79] concluded that relative chlorophyll content values should be calibrated according to the cultivars used and depending on their performance. On the other hand, chlorophyll measurements derived from the RGB and multispectral images did show some significant correlations with GY.…”

Section: Ability Of the Remote Sensing Measurements To Assess Genotypmentioning

confidence: 95%

UAV and Ground Image-Based Phenotyping: A Proof of Concept with Durum Wheat

et al. 2019

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Climate change is one of the primary culprits behind the restraint in the increase of cereal crop yields. In order to address its effects, effort has been focused on understanding the interaction between genotypic performance and the environment. Recent advances in unmanned aerial vehicles (UAV) have enabled the assembly of imaging sensors into precision aerial phenotyping platforms, so that a large number of plots can be screened effectively and rapidly. However, ground evaluations may still be an alternative in terms of cost and resolution. We compared the performance of red-green-blue (RGB), multispectral, and thermal data of individual plots captured from the ground and taken from a UAV, to assess genotypic differences in yield. Our results showed that crop vigor, together with the quantity and duration of green biomass that contributed to grain filling, were critical phenotypic traits for the selection of germplasm that is better adapted to present and future Mediterranean conditions. In this sense, the use of RGB images is presented as a powerful and low-cost approach for assessing crop performance. For example, broad sense heritability for some RGB indices was clearly higher than that of grain yield in the support irrigation (four times), rainfed (by 50%), and late planting (10%). Moreover, there wasn't any significant effect from platform proximity (distance between the sensor and crop canopy) on the vegetation indexes, and both ground and aerial measurements performed similarly in assessing yield.2 of 25 principal goal for breeders. Durum wheat is, by extension, the main cereal cultivated on the southern and eastern shores of the Mediterranean Basin and one of the main cereals in southern Europe [4].Yield is a phenotypically complicated trait, not only because of its genetic complexity [5], but also due to the relative magnitude of gene-environment interactions [6,7], and it is one of the most integrative traits influenced by known and unknown factors. Thus, genotype evaluations in multi-environment trials are needed, at least in the advanced (generations) stages of selection. However, the major point at issue is that high-throughput plant phenotyping (HTPP) may still represent a bottleneck in breeding programs [7], owing to the need to increase the accuracy, precision, and throughput of the methodologies used, while reducing costs and minimizing labor [8,9]. Furthermore, HTPP approaches should allow multi-temporal trait-specific measurements to evaluate the yield components at different phenological moments.Nowadays, and almost by definition, HTPP implies the use of non-invasive remote sensing approaches of different nature [5,10], given the possibility of screening larger populations faster than conventional phenotyping procedures. Moreover, recent progress and advances in the technology of aeronautics and sensors have allowed the adoption of unmanned aerial vehicle (UAV) platforms, capable of precisely screening hundreds of plots in a short period of time [7,11]. Further benefits of the simultaneous c...

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“…Replacement seedlings were used from substrates with equivalent %BC but no pH adjustment and were Weekly measurements over 9 weeks were taken for plant height and for relative chlorophyll content as leaf greenness using a SPAD 502 Plus Chlorophyll Meter (Spectrum Technologies, Inc., Aurora, IL). SPAD meters measure the difference between red light (540 nm) and infrared light (940 nm) absorbance, and for a given species and cultivar under the same growing conditions (e.g., light, water availability) SPAD values can be used as an indicator of relative chlorophyll content (Monostori et al, 2016;Xiong et al, 2015). To ensure accurate measurement of new leaf tissue, four separate points were consistently measured on the second fully extended leaf from the top of the plant (apical meristem) (Bi et al, 2010;Wang et al, 2014;Yuan et al, 2016).…”

Section: Plant Growth Experimentsmentioning

confidence: 99%

Substitution of peat moss with softwood biochar for soil-free marigold growth

Margenot

Griffin

Alves

et al. 2018

Industrial Crops and Products

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A B S T R A C TPeat moss has historically been a key component of soil-free substrates in the greenhouse and nursery industries. However, the increasing expense of peat, negative impacts of peat mining on wetland ecosystems, and growing perception of peat as unsustainable have led to investigation for alternatives. Biochar (BC) is a promising substitute for peat, yet the majority of studies examine additions of BC to peat-based substrates rather than replacing the peat component or employ relatively low substitution rates. Furthermore, at high substitution rates the alkalinity common to many BCs may increase substrate pH and adversely impact plant production. We evaluated BC substitution for peat and pH adjustment of resulting substrates on marigold (Tagetes erecta L.) performance under standard greenhouse conditions. A high pH (10.9) softwood BC (800°C) was substituted for peat in a standard 70:30 (v/v) peat:perlite mixture at 10% total volume increments. Substrate pH was either not adjusted or adjusted to pH 5.8 using a BC by-product, pyroligneous acid (PLA). Germination was inhibited in pH adjusted substrates with high BC substitution (50-70% total substrate volume) likely due to higher dosages of PLA needed to neutralize pH. At harvest (flowering stage, 9 weeks) the initial pH gradient (4.4-10.4) in substrates that were not pH adjusted had converged to pH 5.6-7.5, and BC substitution for peat did not negatively impact marigold biomass or flowering. At low substitution rates (10-30% total substrate volume), marigold biomass and leaf SPAD values were greater than the control peat-perlite mixture (0% BC). This study demonstrates that softwood BC can be considered as a full replacement for peat in soil-free substrates, and even at high rates (70% total substrate volume) does not require pH adjustment for marigold production. Crop-and BC-specific considerations and economic potential should be investigated for wider application.

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Relationship between SPAD value and grain yield can be affected by cultivar, environment and soil nitrogen content in wheat

Cited by 76 publications

References 27 publications

Effect of Cultivar on Chlorophyll Meter and Canopy Reflectance Measurements in Cucumber

Effect of Cultivar on Chlorophyll Meter and Canopy Reflectance Measurements in Cucumber

UAV and Ground Image-Based Phenotyping: A Proof of Concept with Durum Wheat

Substitution of peat moss with softwood biochar for soil-free marigold growth

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