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Revisiting the relationship between nitrogen nutrition index and yield across major species

文献类型： 外文期刊

作者： Rodriguez, Ignacio M. 1 ; Lacasa, Josefina 1 ; van Versendaal, Emmanuela 1 ; Lemaire, Gilles 2 ; Belanger, Gilles 3 ; Jego, Guillaume 3 ; Sandana, Patricio G. 1 ; Soratto, Rogerio P. 5 ; Djalovic, Ivica 6 ; Ata-Ul-Karim, Syed Tahir 7 ; Calvo, Nahuel I. Reussi 8 ; Giletto, Claudia M. 8 ; Zhao, Ben 9 ; Ciampitti, Ignacio A. 1 ;

作者机构： 1.Kansas State Univ, Throckmorton Plant Sci Ctr 2004, Dept Agron, Manhattan, KS 66506 USA

2.INRA, F-86600 Lusignan, France

3.Agr & Agrifood Canada, Quebec Res & Dev Ctr, Quebec City, PQ, Canada

4.Univ Austral Chile, Inst Plant Prod & Protect, Campus Isla Teja, Valdivia, Chile

5.Sao Paulo State Univ UNESP, Coll Agr Sci, Dept Crop Sci, Botucatu, SP, Brazil

6.Natl Inst Republ Serbia, Inst Field & Vegetable Crops, Maxim Gorki 30, Novi Sad 21000, Serbia

7.Penn State Univ, Dept Plant Sci, State Coll, PA 16802 USA

8.Fac Ciencias Agr UNMdP INTA Balcarce, Unidad Integrada Balcarce, Ruta 226 km 73,5 7620 Balcarce, RA-7620 Buenos Aires, Argentina

9.Chinese Acad Agr Sci, Farmland Irrigat Res Inst, Key Lab Crop Water Use & Regulat, Minist Agr, Xinxiang 453003, Henan, Peoples R China

关键词： Nitrogen nutrition index NNI; Critical nitrogen (N) concentration; Nutrient management practices; Yield; Crops

期刊名称：EUROPEAN JOURNAL OF AGRONOMY （ 影响因子：5.2； 五年影响因子：5.9 ）

ISSN： 1161-0301

年卷期： 2024 年 154 卷

页码：

收录情况： SCI

摘要： Crop nitrogen (N) fertilization diagnoses via the N nutrition index (NNI)-yield relationship have been tested for several crop species, but a cross-species comparison of that relationship has not been performed yet. This study aimed to perform a cross-species comparison of the relationship between NNI and yield with emphasis on the yield sensitivity to N deficiency, slope of the models. Additionally, we conducted an evaluation to determine the best NNI sampling moment to predict relative yield, with focus on major grain crops. Based on a recently published global dataset to parametrize critical dilution curves, we calculated integrated NNI, instantaneous NNI, relative yield, and relative shoot biomass for annual ryegrass, tall fescue, maize, potato, rice, and wheat. We obtained 238 observations to fit integrated NNI-relative yield linear mixed-effects models and 1606 observations to fit instantaneous NNI-relative yield models. Subsequently, we performed a sensitivity analysis to determine the best NNI sampling moment to predict relative yield, with focus on major grain crops (maize, rice, and wheat). Our results show that there was low inter-species variation of sensitivity to N deficiency, i.e., the slope of the relationship between relative yield and integrated NNI. For grain crops, instantaneous NNI around anthesis demonstrated a better predictive capability for relative yield, outperforming other vegetative stages. This finding contributed to improving the understanding of the association between relative yield and NNI with implications for breeding programs, nutrient management practices, and crop modelling. Most importantly, this study is a contribution to improving the N nutrition diagnosis for several crop species, by using an integral, comparative approach.

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