首页|Establishing a critical nitrogen dilution curve for estimating nitrogen nutrition index of potato crop in tropical environments

Establishing a critical nitrogen dilution curve for estimating nitrogen nutrition index of potato crop in tropical environments

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? 2022 Elsevier B.V.The critical nitrogen (N) dilution curve (CNDC) (Nc = A1W-A2) and the N nutrition index (NNI) have shown to be a robust diagnostic tool to assess crop N status. Several CNDCs were established for potatoes (Solanum tuberosum L.) in various conditions. However, it is difficult to know if these different CNDCs reflect a true variability across genotype × environment × management (G×E × M) scenarios, or are rather linked to estimation errors. Therefore, the aims of this study were to (i) estimate and compare CNDCs via a Bayesian statistical approach for different G×E × M scenarios in tropical environments and (ii) assess the uncertainty in the relationship between tuber yield and NNI. Field experiments were conducted in three site-years (SYs) in the southeastern region of Brazil. Treatments consisted of two potato cultivars (Agata and Electra) and five N fertilization managements [differing in the N rates (0 ?320 kg N ha-1) and/or application timings]. Based on 95% credibility intervals, we found no significant differences between CNDCs across G×E × M scenarios assessed and thus derived a single generic CNDC for both cultivars and all SYs defined by Nc = 3.86 W-0.34. This global CNDC was used to compute NNI and discriminate tuber yields obtained under N-limiting and non-N-limiting conditions. An uncertainty analysis revealed that critical NNI threshold values for the tuber yield response to N management were not statistically different among G×E × M scenarios. Therefore, these results support the use of a unique CNDC for estimating the N status (NNI) of potato crop in tropical environments. We found no evidence of the need for SY- or cultivar-specific CNDCs. Future studies should evaluate N dilution curves and NNI for potato across different production environments worldwide.

BayesianN managementNNISolanum tuberosumTuber yield

Sandana P.、Makowski D.、Ciampitti I.A.、Fernandes A.M.、Soratto R.P.、Fernandes F.M.

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Institute of Plant Production and Protection Universidad Austral de Chile Campus Isla Teja

University Paris-Saclay INRAE AgroParisTech UMR MIA 518

Dept. of Agronomy Kansas State University 2004 Throckmorton Plant Science Center

Center of Tropical Roots and Starches S?o Paulo State University (UNESP)

Dept. of Crop Science College of Agricultural Sciences S?o Paulo State University (UNESP)

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2022

Field Crops Research

Field Crops Research

SCI
ISSN:0378-4290
年,卷(期):2022.286
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