Suppr超能文献

基于感应与目标产量模型的甜玉米(Zea mays L. Saccharata)在印度南部 Alfisols 土壤上的综合施肥处方。

Inductive cum targeted yield model-based integrated fertilizer prescription for sweet corn (Zea mays L. Saccharata) on Alfisols of Southern India.

机构信息

All India Coordinated Research Project on Soil Test Crop Response, University of Agricultural Sciences, Bangalore, Karnataka, India.

All India Coordinated Research Project on Soil Test Crop Response, ICAR-Indian Institute of Soil Science, Bhopal, Madhya Pradesh, India.

出版信息

PLoS One. 2024 Aug 26;19(8):e0307168. doi: 10.1371/journal.pone.0307168. eCollection 2024.

Abstract

Striking the right nutrient balance is essential for sustainable farming and ecosystem health. In this regard, field experiments were conducted in three phases viz., fertility gradient experiment, main experiment and validation experiment through a soil test crop response approach to develop and validate fertilizer prescription equations for sweet corn in comparison with general recommended dose and soil fertility rating approach. The soil data, fresh cob yield, and NPK uptake were used for establishing four important basic parameters, viz., nutrient requirement (kg t-1), contribution of nutrients from fertilizers, soil, and organic manure. The results revealed that nutrients required to produce one tonne of fresh cob yield (NR) were 5.85 kg, 0.87 kg and 4.31kg for N, P and K, respectively under the STCR NPK alone approach and 6.07 kg, 0.92 kg and 4.33 kg for N, P and K, respectively under STCR NPK+FYM approach. In the validation experiment, STCR NPK+FYM approach for the targeted yield of 25 t ha-1 recorded higher fresh cob yield (23.38 t ha-1) and dry stover yield (35.07 t ha-1) which were significantly higher compared to general recommended dose and soil fertility rating approach. The developed STCR equations for the aforesaid crop are valid as the percent deviation of cob yield from the targeted yield was within ±10%. Similarly, highest nutrient use efficiency was achieved with the STCR approach, specifically when targeting a lower yield through an NPK+FYM mode. Thus, implementation of the STCR approach of fertilizer prescription, with or without FYM, at targeted yields of 25 and 22 t ha-1, not only surpassed the effects of the other fertilizer recommendation approach in terms of cob yields, but also increased NPK uptake, improved nutrient use efficiency and greater economic returns.

摘要

实现正确的养分平衡对于可持续农业和生态系统健康至关重要。在这方面,通过土壤测试-作物响应方法进行了三个阶段的田间试验,即肥力梯度试验、主要试验和验证试验,以开发和验证甜玉米的肥料配方方程,与常规推荐剂量和土壤肥力评级方法进行比较。土壤数据、鲜穗产量和 NPK 吸收量用于建立四个重要的基本参数,即养分需求量(kg t-1)、肥料、土壤和有机肥中养分的贡献。结果表明,在 STCR 仅 NPK 方法下,生产一吨鲜穗产量(NR)所需的养分分别为 N 5.85kg、P 0.87kg 和 K 4.31kg,而在 STCR NPK+FYM 方法下,分别为 N 6.07kg、P 0.92kg 和 K 4.33kg。在验证试验中,STCR NPK+FYM 方法对 25 吨/公顷的目标产量记录了更高的鲜穗产量(23.38 吨/公顷)和干秸秆产量(35.07 吨/公顷),与常规推荐剂量和土壤肥力评级方法相比显著更高。针对上述作物开发的 STCR 方程是有效的,因为穗产量与目标产量的偏差百分比在±10%以内。同样,通过 NPK+FYM 模式实现较低的目标产量时,STCR 方法实现了最高的养分利用效率。因此,实施 STCR 肥料配方方法,无论是否添加 FYM,在 25 和 22 吨/公顷的目标产量下,不仅在穗产量方面超过了其他肥料推荐方法的效果,而且还增加了 NPK 吸收量,提高了养分利用效率并带来了更大的经济效益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa0b/11346652/0dec07a3b39f/pone.0307168.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验