{"title":"Crop nitrogen status and yield formation: A cross-species comparison for maize, rice, and wheat field crops","authors":"","doi":"10.1016/j.fcr.2024.109515","DOIUrl":null,"url":null,"abstract":"<div><h3>Problem</h3><p>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.</p></div><div><h3>Objective</h3><p>The main goal of this study was to perform a cross-species comparison for maize (<em>Zea mays</em> L.), rice (<em>Oryza sativa</em> L.), and wheat (<em>Triticum aestivum</em> L.) of the relationship between crop N status around anthesis as a GY and GY components prediction diagnosis method.</p></div><div><h3>Methods</h3><p>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 <em>sensitivity</em> (slope of the linear models) of GY, GN, and GW to changes in crop NNI status at anthesis.</p></div><div><h3>Results</h3><p>Notably, the crop N status at anthesis demonstrated a strong relationship between both GY (R<sup>2</sup> between 0.66 and 0.93) and GN (R<sup>2</sup> between 0.58 and 0.94) across all crops, with a slightly weaker relationship with GW (R<sup>2</sup> between 0.30 and 0.83). Considerable uncertainty was observed on the GY and GN sensitivity (<em>S</em>) to N deficiency across all crops. Maize showed the greatest sensitivity of GY to NNI (<em>S</em>= 964 g m<sup>−2</sup>), with lowest sensitivity for wheat crop (<em>S</em>= 496 g m<sup>−2</sup>). Regarding GN, rice showed the greatest sensitivity to NNI (<em>S</em>= 23859 GN m<sup>−2</sup>), whereas maize was less sensitive (<em>S</em>= 2673 GN m<sup>−2</sup>). While maize exhibited a positive association between NNI and GW (although with considerable uncertainty), this relationship was less evident for rice and wheat crops.</p></div><div><h3>Conclusions</h3><p>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.</p></div><div><h3>Implications</h3><p>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.</p></div>","PeriodicalId":12143,"journal":{"name":"Field Crops Research","volume":null,"pages":null},"PeriodicalIF":5.6000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Field Crops Research","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378429024002685","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
Field Crops Research is an international journal publishing scientific articles on:
√ experimental and modelling research at field, farm and landscape levels
on temperate and tropical crops and cropping systems,
with a focus on crop ecology and physiology, agronomy, and plant genetics and breeding.