Crop nitrogen status and yield formation: A cross-species comparison for maize, rice, and wheat field crops

被引:1
|
作者
Rodriguez, Ignacio M. [1 ,3 ]
Lacasa, Josefina [1 ]
Lemaire, Gilles [2 ]
Zhao, Ben [4 ]
Ata-Ul-Karim, Syed Tahir [5 ]
Ciampitti, Ignacio A. [1 ]
机构
[1] Kansas State Univ, Dept Agron, 2004 Throckmorton Plant Sci Ctr, Manhattan, KS 66506 USA
[2] INRA, F-86600 Lusignan, France
[3] UNMdP, INTA Balcarce, Unidad Integrada Balcarce, Fac Ciencias Agr, Ruta 226 Km 73,5, RA-7620 Balcarce, Buenos Aires, Argentina
[4] Chinese Acad Agr Sci, Farmland Irrigat Res Inst, Key Lab Crop Water Use & Regulat, Minist Agr, Xinxiang 453003, Henan, Peoples R China
[5] Aarhus Univ, Dept Agroecol Climate & Water, DK-8830 Tjele, Denmark
关键词
Critical nitrogen concentration; NNI; Nitrogen dilution; Crops; Grain number; Grain weight; Grain yield; USE EFFICIENCY; GRAIN-YIELD; DRY-MATTER; DILUTION CURVE; WINTER-WHEAT; NUMBER; PHOTOSYNTHESIS; WEIGHT; REMOBILIZATION; ACCUMULATION;
D O I
10.1016/j.fcr.2024.109515
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Problem: The utilization of crop nitrogen (N) status as an in-season diagnosis tool for predicting N needs to maximize grain yield (GY) is a well-established concept in agronomy. However, a cross-species comparison including the characterization of yield components, grain number (GN) and grain weight (GW), to understand the physiological basis behind the GY-crop N status relationship is still missing. Objective: The main goal of this study was to perform a cross-species comparison for maize (Zea mays L.), rice (Oryza sativa L.), and wheat (Triticum aestivum L.) of the relationship between crop N status around anthesis as a GY and GY components prediction diagnosis method. Methods: A systematic literature search was carried out for these major field crops, the final dataset (comprising 629 observations) consisted of 15 publications including information on i) shoot biomass and plant N concentration or N nutrition index (NNI) values at anthesis, ii) GY, and iii) GN and/or GW. An analysis was conducted to assess the sensitivity (slope of the linear models) of GY, GN, and GW to changes in crop NNI status at anthesis. Results: Notably, the crop N status at anthesis demonstrated a strong relationship between both GY (R2 between 0.66 and 0.93) and GN (R2 between 0.58 and 0.94) across all crops, with a slightly weaker relationship with GW (R2 between 0.30 and 0.83). Considerable uncertainty was observed on the GY and GN sensitivity (S) to N deficiency across all crops. Maize showed the greatest sensitivity of GY to NNI (S= 964 g m- 2), with lowest sensitivity for wheat crop (S= 496 g m- 2). Regarding GN, rice showed the greatest sensitivity to NNI (S= 23859 GN m- 2), whereas maize was less sensitive (S= 2673 GN m- 2). While maize exhibited a positive association between NNI and GW (although with considerable uncertainty), this relationship was less evident for rice and wheat crops. Conclusions: Our findings demonstrated that crop N status at anthesis is a better predictor of GY and GN than GW in maize, rice, and wheat. Maize showed the greatest range in observed values for relative GW relative to NNI, highlighting the impact of crop N status on GW determination. Implications: These findings contribute to improving the understanding of the importance of achieving adequate crop N status at anthesis as key aspect for yield formation, with implications for both breeding programs and the optimization of on-farm crop N management.
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页数:9
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