Green Index to Estimate Crop Nitrogen Status in Potato Processing Varieties

Giletto, Claudia Marcela; Rattin, J.; Echeverría, Hernán Eduardo; Caldiz, Daniel O.

doi:10.4067/s0718-58392010000100015

Cited by 10 publications

(12 citation statements)

References 15 publications

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“…The difference among the critical thresholds could probably be due to the regression models utilized. On the other hand, the thresholds CMr and NDVIr were similar to those previously reported (Giletto et al, 2010; Giletto et al 2016; Giletto and Echeverría, 2016).…”

Section: Resultssupporting

confidence: 90%

“…Other methods, such as the chlorophyll meter (CM) readings, and the normalized differential vegetation index (NDVI), are faster, nondestructive and less expensive than the NNI (Giletto and Echeverría, 2013b; Giletto et al, 2016). The CM readings and NDVI are affected by numerous factors unrelated to N availability, suggesting that normalization procedures are needed to standardize the lectures (CMr, NNI‐CM, and NDVIr) (Blackmer and Schepers, 1995; Barker and Sawyer, 2010; Giletto et al, 2010; Giletto and Echeverría, 2013b; Clay et al, 2012). Several studies have shown that CM reading and NDVI can predict high potato yield (Giletto and Echeverría, 2016; Giletto et al, 2016).…”

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confidence: 99%

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Predicting Nitrogen Losses in Potato Crop with Soil Nitrogen and Plant Tests

Giletto¹,

Calvo

Echeverría³

2019

Agronomy Journal

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There is a lack of information on how to determine N‐use efficiency and monitoring and diagnosing N losses in irrigated potato (Solanum tuberosum L.) production. This study was conducted to determine and validate a simple model to estimate inorganic N leaching losses (Nlosses) from gravitational water and to determine Nlosses thresholds using the soil N and canopy sensor tests. We conducted field experiments (n = 6) from 2008 to 2012 to evaluate the effects of N rates and/or managements and gravitational water on tuber yield, crop N uptake (Nuptake) and Nlosses on the cultivar Innovator in the Argentinean Pampas. The N nutrition index (NNI), normalized chlorophyll meter reading (NNI‐CM), relative chlorophyll meter reading (CMr), and relative normalized difference vegetative index (NDVIr) were determined 70 d after planting. Tuber yield, residual N, and Nlosses varied from 40.8 to 70.3 t ha−1, 23.2 to 78.7 kg N ha−1 and 6.4 to 219.4 kg N ha−1, respectively. The Nlosses were directly associated with the amount of gravitational water in the soil profile (r2 = 0.79). Threshold values of 255 kg N ha−1 for N available, 1.0 for NNI, 1.03 for NNI‐CM, 0.94 for CMr and 0.98 for NDVIr were defined. We determined linear increases in Nlosses above these thresholds (r2 = 0.75, 0.35, 0.53, 0.40, and 0.46, respectively). High N rates and gravitational water increased the N losses in potato crops under irrigation. This information could be useful to adjust N fertilizer recommendation and monitoring the Nlosses in potato crops under irrigation. Core Ideas Information on how to monitor and diagnose N losses in irrigated potato production is lacking. This study estimates N losses from gravitational water, soil N, and canopy sensor tests. The aim is to predict N‐loss thresholds using soil N and canopy sensor tests. N losses were directly associated with the amount of gravitational water in the soil profile.

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Section: Resultssupporting

confidence: 90%

mentioning

confidence: 99%

Predicting Nitrogen Losses in Potato Crop with Soil Nitrogen and Plant Tests

Giletto¹,

Calvo

Echeverría³

2019

Agronomy Journal

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“…Therefore, it is recommended to relativize the measurements to plots without N deficiency, obtaining the nitrogen sufficiency index (NSI) for the SPAD (Barker & Sawyer, 2010), and the relative normalized difference vegetation index (NDVIr) for the Green Seeker (Barker & Sawyer, 2010; Clay et al., 2012; Samborski et al., 2009). Both indices have been successfully evaluated in different crops like wheat and barley ( Hordeum vulgare L.) (Reussi Calvo et al., 2020), maize (Hawkins et al., 2007; Sainz Rozas et al., 2019), and potato ( Solanum tuberosum L.) (Giletto et al., 2010). For sunflower, the active‐optical sensor readings at V 6 and V 12 growth stages (Schneiter & Miller, 1981) were related to confection yield, but not to oilseed yield (Franzen et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

Assessment of nitrogen diagnosis methods in sunflower

et al. 2021

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Nitrogen deficiency can severely limit sunflower (Helianthus annuus L.) grain yield and quality. Our objective was to evaluate N diagnosis methods based on: (a) preplant soil nitrate-nitrogen (NO 3 --N) test (PPSNT) and soil N mineralized in shortterm anaerobic incubation (Nan), (b) Greenness index (G I ) and the normalized difference vegetation index (NDVI) measured at 6 (V 6 ) and 12 (V 12 ) leaves, and (c) grain nitrogen concentration (N c ). Seventeen experiments were carried out between 2010 and 2019 in Argentina, evaluating nine N rates (0, 30, 40, 60, 80, 90, 120, 150, and 160 kg N ha -1 ). The G I , NDVI, N sufficiency index and relative normalized difference vegetation index (NDVIr) were determined at V 6 and V 12 growth stages. On average, yield response to N was 492 kg ha -1 and N c response was 0.25% in 9 and 11 responsive experiments, respectively. The inclusion of Nan improved the PPSNT diagnosis method. The critical N availability (PPSNT + fertilizer N) threshold was 115 kg N ha -1 for experiments with low Nan (<60 mg kg -1 ), and 90 kg N ha -1 for experiments with high Nan (>60 mg kg -1 ). The NDVIr at V 12 allowed monitoring the crop N status with a 0.95 critical threshold. The N c adequately diagnosed N deficiencies and the critical threshold was 2.26%. Also, N c was predicted from the ratio between N availability and grain yield (R 2 = .39). Our results would allow to better estimate N availability to recommend adequate N fertilizer rates for sunflower aiming to optimize grain yield and quality, and minimize the economic and environmental cost of fertilization.

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“…Previous studies with hand‐held chlorophyll meters, including the SPAD‐502 equipment, reported inconsistent optimum NSI threshold for monitoring potato N status and suggested values ranging from 84 to 94.8% (Coelho et al., 2012; Giletto et al., 2010; Marouani et al., 2015). However, Bohman et al.…”

Section: Introductionmentioning

confidence: 99%

Chlorophyll meter‐based leaf nitrogen status to manage nitrogen in tropical potato production

et al. 2021

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Potato (Solanum tuberosum L.) is a N intensive crop, and meeting its requirements with N fertilization is the primary practice to improve N recovery and achieve suitable tuber yield. A 3-site-year (SY) study was conducted to assess soil plant analysis development (SPAD)-502 chlorophyll meter efficacy for providing potato leaf real-time N status to adjust N timing and rate using nitrogen sufficiency index (NSI) thresholds of 90 or 95%. We evaluated effects of in-season SPAD-based N managements, as well as a reference with non-limiting N application, a fixed-timing (planting and hilling) conventional N fertilization, and a zero-N control on crop N uptake, tuber yield, and N-use efficiency of potato cultivar Agata grown in tropical clay soils. Tuber yields were similar in both SPAD-based managements. Under no intensive rainfall events after N applications, SPAD-based managements reduced N applications by 38-63% and resulted in comparable tuber set, bulking, and yield relative to conventional N fertilization. Additionally, SPAD-based management at a NSI threshold of 90% resulted in greater potato N-uptake efficiency and tuber yield per unit of N applied. SPAD-502 sensor was efficient for detecting plant N status when environmental conditions were more conducive for potato production and optimized N management by reducing application rates. However, with less favorable temperature and solar radiation for potato cultivation, and with intensive rainfall events following N application, SPAD readings did not guide to a proper N fertilization and resulted in reduced tuber yield. Therefore, under such conditions, a more accurate method for detecting plant N status should be used.

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Green Index to Estimate Crop Nitrogen Status in Potato Processing Varieties

Cited by 10 publications

References 15 publications

Predicting Nitrogen Losses in Potato Crop with Soil Nitrogen and Plant Tests

Predicting Nitrogen Losses in Potato Crop with Soil Nitrogen and Plant Tests

Assessment of nitrogen diagnosis methods in sunflower

Chlorophyll meter‐based leaf nitrogen status to manage nitrogen in tropical potato production

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