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基于归一化差异植被指数传感器的面包小麦(L.)氮素管理:养分吸收、利用效率和部分养分平衡

Normalized difference vegetation index sensor-based nitrogen management in bread wheat ( L.): Nutrient uptake, use efficiency, and partial nutrient balance.

作者信息

Mitra Biplab, Singha Prantick, Roy Chowdhury Arnab, Sinha Abhas Kumar, Skalicky Milan, Brestic Marian, Alamri Saud, Hossain Akbar

机构信息

Department of Agronomy, Uttar Banga Krishi Viswavidyalaya, Coochbehar, West Bengal, India.

Department of Soil Science and Agricultural Chemistry, Uttar Banga Krishi Viswavidyalaya, Coochbehar, West Bengal, India.

出版信息

Front Plant Sci. 2023 Apr 4;14:1153500. doi: 10.3389/fpls.2023.1153500. eCollection 2023.

Abstract

The present experiment was conducted to assess the impact of fixed and variable doses (using a normalized difference vegetation index-sensor) of nitrogen (N) on wheat yields, nutrient uptake, nitrogen use efficiency, and soil nitrogen balance through the optimization of nitrogen dose. There were 10 treatments based on fixed and variable doses with different splits, and each treatment was replicated three times under a randomized complete block design. The treatments comprised fixed doses of 120 and 150 kg N ha with different splits; variable doses based on sensor readings after application of 60, 90, and 120 kg N ha; 225 kg N ha as a nitrogen-rich control; and no application of nitrogen as the absolute control. It was revealed that the application of a basal dose of 60 kg N ha and another 60 kg N ha at the crown root initiation stage followed by a sensor-guided N application significantly improved wheat grain yields and grain nitrogen uptake. However, straw nitrogen uptake was highest in N-rich plots where 225 kg N hawas applied. It was found that any curtailment in these doses at basal and crown root initiation stages followed by nitrogen application using a normalized difference vegetation index sensor later could not bring about higher crop yields. On average, wheat crops responded to 152-155 kg N ha in both years of the study. Partial factor productivity along with agronomic and economic nitrogen use efficiency showed a declining trend with an increased rate of N application. Apparent N recovery values were comparable between normalized difference vegetation index sensor-based N application treatments and treatments receiving lesser N doses. Soil N status decreased in all the treatments except the nitrogen-rich strip, where there was a marginal increase in soil N status after the wheat crop harvest in the rotation. Partial nitrogen balance was negative for all the treatments except the control. From these 2-year field trials, it can be concluded that applying a normalized difference vegetation index sensor could be an essential tool for the rational management of fertilizer nitrogen in wheat grown in eastern sub-Himalayan plains.

摘要

本试验旨在通过优化氮肥用量,评估固定和可变剂量(使用归一化植被指数传感器)的氮(N)对小麦产量、养分吸收、氮素利用效率和土壤氮平衡的影响。基于固定和可变剂量以及不同的分次施肥设置了10种处理,每种处理在随机完全区组设计下重复3次。处理包括固定剂量120和150 kg N/ha以及不同的分次施肥;基于施用60、90和120 kg N/ha后传感器读数的可变剂量;225 kg N/ha作为富氮对照;不施氮作为绝对对照。结果表明,在基部根起始阶段施用60 kg N/ha的基肥和另外60 kg N/ha,随后进行传感器引导的施氮,显著提高了小麦籽粒产量和籽粒氮吸收量。然而,在施用225 kg N/ha的富氮地块中,秸秆氮吸收量最高。研究发现,在基部和冠根起始阶段减少这些剂量,随后使用归一化植被指数传感器施氮,无法实现更高的作物产量。在研究的两年中,小麦作物平均对152 - 155 kg N/ha的氮肥有响应。随着施氮量增加,偏生产力以及农学和经济氮素利用效率呈下降趋势。基于归一化植被指数传感器的施氮处理与施氮量较少的处理之间,表观氮素回收率相当。除富氮区外,所有处理的土壤氮素状况均下降,在轮作中小麦收获后,富氮区土壤氮素状况略有增加。除对照外,所有处理的部分氮平衡均为负。从这两年的田间试验可以得出结论,应用归一化植被指数传感器可能是喜马拉雅山东部平原种植小麦时合理管理氮肥的重要工具。

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