作物氮状况与产量形成:玉米、水稻和小麦田间作物的跨品种比较

IF 5.6 1区 农林科学 Q1 AGRONOMY
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引用次数: 0

摘要

利用作物氮素(N)状况作为季节诊断工具,预测氮素需求,以最大限度地提高谷物产量(GY),是农艺学中一个行之有效的概念。然而,目前仍缺乏跨物种比较,包括产量成分、粒数(GN)和粒重(GW)的特征描述,以了解 GY 与作物氮状况关系背后的生理基础。本研究的主要目的是对玉米(L.)、水稻(L.)和小麦(L.)的开花前后作物氮状况之间的关系进行跨物种比较,并将其作为 GY 和 GY 成分预测诊断方法。对这些主要的大田作物进行了系统的文献检索,最终的数据集(包括 629 个观测值)由 15 篇出版物组成,包括以下方面的信息:i) 花期的嫩枝生物量和植物氮浓度或氮营养指数 (NNI);ii) GY;iii) GN 和/或 GW。分析评估了 GY、GN 和 GW 与作物花期 NNI 状态变化的关系(线性模型的斜率)。值得注意的是,在所有作物中,作物花期氮状况与 GY(R 值介于 0.66 和 0.93 之间)和 GN(R 值介于 0.58 和 0.94 之间)均有密切关系,而与 GW 的关系稍弱(R 值介于 0.30 和 0.83 之间)。所有作物的 GY 和 GN 对氮缺乏的敏感性()都存在很大的不确定性。玉米的 GY 对 NNI 的敏感度最高(= 964 克/平方米),小麦的敏感度最低(= 496 克/平方米)。在 GN 方面,水稻对 NNI 的敏感度最高(= 23859 GN m),而玉米的敏感度较低(= 2673 GN m)。玉米表现出 NNI 与 GW 之间的正相关(尽管有相当大的不确定性),而水稻和小麦作物的这种关系则不太明显。我们的研究结果表明,在玉米、水稻和小麦中,作物花期氮状况比 GW 更能预测 GY 和 GN。相对于 NNI,玉米的相对 GW 观测值范围最大,这凸显了作物氮状况对 GW 确定的影响。这些发现有助于人们更好地理解作物花期获得充足氮素状态的重要性,这是产量形成的关键因素,对育种计划和优化农田作物氮素管理都有影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crop nitrogen status and yield formation: A cross-species comparison for maize, rice, and wheat field crops

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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来源期刊
Field Crops Research
Field Crops Research 农林科学-农艺学
CiteScore
9.60
自引率
12.10%
发文量
307
审稿时长
46 days
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.
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