Smart nutrient management Nutrient Expert® enhances rice productivity through adjusting source-sink relationships during grain filling

IF 5.6 1区 农林科学 Q1 AGRONOMY Field Crops Research Pub Date : 2024-08-01 DOI:10.1016/j.fcr.2024.109479
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Abstract

Smart nutrient management optimises chemical fertiliser application while maintaining crop yields. Nutrient Expert® (NE) is a user-friendly smart nutrient management system designed to improve the productivity of smallholder farmers. However, the physiological mechanisms underlying the effects of nutrient management have yet to be fully understood. We analysed data from field experiments conducted in South and Northeast China to explore the effects of different nitrogen (N) fertiliser inputs and nutrient management systems on panicle weight and post-flowering source-sink relationships in various cropping seasons of rice. Treatments included NE recommendation, local farmers’ practices (FP), soil test based fertiliser recommendation (ST), and four N rate treatments with plus or minus 25 % and plus or minus 50 % of NE. Our analysis indicated that rice panicle weight and N accumulation increased with increasing N application rate up to a recommended rate by NE in most cases, beyond which there was little further increase. Moreover, NE significantly enhanced rice panicle weight and N accumulation compared to FP and ST in the single-season rice in Northeast China. In all experiments, both in South and Northeast China, the post-flowering source-sink difference gradually increased from negative to positive values with an increase in N application rate. Too low N application rate resulted in insufficient source supply, while too high N application rate gave excessive source supply since the sink demand reached its upper limit. Compared with FP and ST, NE achieved higher source supply and sink demand in the single-season rice, and mobilised more N from source organs to sink organs. Our analysis provides evidence for positive impacts of integrated nutrient management strategies on rice source-sink relationships and offers a physiological basis for improved rice productivity of designed NE nutrient management strategies.

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智能养分管理 Nutrient Expert® 通过调整谷物灌浆期的源-汇关系提高水稻产量
智能养分管理可在保持作物产量的同时优化化肥施用。®(NE)是一种用户友好型智能养分管理系统,旨在提高小农的生产率。然而,养分管理效果的生理机制尚未完全明了。我们分析了在中国华南和东北进行的田间试验数据,以探讨不同氮肥投入和养分管理系统对水稻不同种植季节的穗粒重和花后源汇关系的影响。处理包括氮肥推荐、当地农民实践(FP)、基于土壤测试的肥料推荐(ST),以及正负 25% 和正负 50% 的四种氮肥率处理。我们的分析表明,在大多数情况下,随着氮肥施用量的增加,水稻的穗粒重和氮累积量也随之增加,最高可达到 NE 的推荐施用量,超过这一施用量则几乎没有进一步的增加。此外,与 FP 和 ST 相比,NE 能显著提高东北单季稻的粒重和氮积累。在华南和东北的所有试验中,随着氮素施用量的增加,花后源汇差值逐渐由负值变为正值。施氮量过低会导致源供给不足,而施氮量过高则会导致源供给过多,因为吸收汇需求已达到上限。与 FP 和 ST 相比,NE 在单季稻中实现了更高的源供给和汇需求,并从源器官向汇器官动员了更多的氮。我们的分析为综合养分管理策略对水稻源-汇关系的积极影响提供了证据,并为设计 NE 养分管理策略提高水稻产量提供了生理基础。
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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.
期刊最新文献
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