2020
DOI: 10.17221/533/2019-pse
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Potato nutritional status at the onset of tuberisation - a yield prediction tool

Abstract: A reliable tuber yield prognosis requires a complex statistical analysis of potato nutritional status in the fully developed 4<sup>th</sup> leaf at the onset of tuberisation. This hypothesis was validated in the series of field experiments conducted in 2006–2008 in Poland. The experimental design was composed of two nitrogen (N) rates (60, 120 kg/ha), two N fertilisers (Urea and Agrotain), two rates of sulfur (0, 50 kg/ha). The marketable tuber yield of cv. Zeus ranged from 31.3 to 59.3 t/ha in 200… Show more

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Cited by 6 publications
(5 citation statements)
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“…For example, the Bergmann' sufficiency ranges developed at BBCH 41 for sugar beet are not currently suitable for correcting the nutritional status of currently grown varieties. The last date of this crop fertilization with N must precede BBCH 33 [43,44]. Maize has been subjected to in-depth studies on its nutritional status at the onset of flowering (Table 2).…”
Section: Plant Growth and Nutrient Requirementmentioning
confidence: 99%
“…For example, the Bergmann' sufficiency ranges developed at BBCH 41 for sugar beet are not currently suitable for correcting the nutritional status of currently grown varieties. The last date of this crop fertilization with N must precede BBCH 33 [43,44]. Maize has been subjected to in-depth studies on its nutritional status at the onset of flowering (Table 2).…”
Section: Plant Growth and Nutrient Requirementmentioning
confidence: 99%
“…The use of the right fertilizer can contribute to better potato growth, but also easier tuber formation [ 65 , 66 , 67 , 68 ]. Simultaneous fertilization with manure and NPK had the best effect on the number and average weight of tubers.…”
Section: Resultsmentioning
confidence: 99%
“…For instance, ANN and MLR models were constructed that incorporated soil infiltration resistance, organic matter, microbial load, and tillage system, resulting in superior prediction of potato yield, with R 2 values of 0.951 and 0.894, respectively ( Abrougui et al., 2019 ). Yield was simulated based on soil apparent conductivity and achieved an R 2 between 0.57 and 0.66 ( Frąckowiak et al., 2020 ). However, yield loss due to pests and diseases also constitutes an essential component of yield prediction theory.…”
Section: Methods Based On Yield Limiting Factormentioning
confidence: 99%