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玉米杂交种养分特异性响应与叶面积指数（LAI）及遥感的关系分析

Analysis of Nutrient-Specific Response of Maize Hybrids in Relation to Leaf Area Index (LAI) and Remote Sensing.

作者信息

Szabó Atala, Mousavi Seyed Mohammad Nasir, Bojtor Csaba, Ragán Péter, Nagy János, Vad Attila, Illés Árpád

机构信息

Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology, University of Debrecen, 138 Böszörményi St., H-4032 Debrecen, Hungary.

Institutes for Agricultural Research and Educational Farm (IAREF), Farm and Regional Research Institutes of Debrecen (RID), Experimental Station of Látókép, University of Debrecen, H-4032 Debrecen, Hungary.

出版信息

Plants (Basel). 2022 Apr 28;11(9):1197. doi: 10.3390/plants11091197.

DOI:10.3390/plants11091197
PMID:35567198
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9102345/
Abstract

Leaf area index (LAI) indicates the leaf area per ground surface area occupied by a crop. Various methods are used to measure LAI, which is unitless and varies according to species and environmental conditions. This experiment was carried out in three different nitrogen ranges (control, 120 kg N ha, and 300 kg N ha) + PK nutrient levels, with five replications used for leaf area measurement on seven different maize hybrids. Hybrids had different moisture, protein, oil, and starch contents. N (1, 2) + PK treatments had a desirable effect on protein, starch, and yield. P0217 LAI had a minimal response at these fertiliser levels. LAI for Sushi peaked at different dates between control and fertiliser treatments. This result showed that Sushi has an excellent capacity for LAI. LAI values on 15 June 2020 showed minimum average values for all hybrids, and it had a maximum average values on 23 July 2020. LAI had maximum performance between the average values treatments in Sushi, Armagnac, Loupiac, and DKC4792 on 15 June 2020. This study also provides insights for examining variably applied N doses using crop sensors and UAV remote-sensing platforms.

摘要

叶面积指数（LAI）表示作物所占据的单位地面面积上的叶面积。测量LAI有多种方法，它无单位，且因物种和环境条件而异。本实验在三种不同的氮水平范围（对照、120千克氮/公顷和300千克氮/公顷）+磷钾养分水平下进行，对七个不同的玉米杂交种进行叶面积测量，设置五次重复。杂交种具有不同的水分、蛋白质、油和淀粉含量。氮（1, 2）+磷钾处理对蛋白质、淀粉和产量有理想的影响。P0217的LAI在这些肥料水平下反应最小。“寿司”（Sushi）的LAI在对照和施肥处理之间的不同日期达到峰值。这一结果表明“寿司”具有出色的叶面积指数能力。2020年6月15日所有杂交种的LAI值显示出最低平均值，而在2020年7月23日则具有最高平均值。2020年6月15日，“寿司”、“雅文邑”（Armagnac）、“卢皮亚克”（Loupiac）和DKC4792在平均值处理之间LAI表现最佳。本研究还为使用作物传感器和无人机遥感平台研究可变施氮剂量提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/72aed14835aa/plants-11-01197-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/84ecc5f5b024/plants-11-01197-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/8861aa4d912f/plants-11-01197-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/8fef06642881/plants-11-01197-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/c3573cf9ca27/plants-11-01197-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/be48f0f0af40/plants-11-01197-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/1fe5fb272988/plants-11-01197-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/72aed14835aa/plants-11-01197-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/84ecc5f5b024/plants-11-01197-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/8861aa4d912f/plants-11-01197-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/8fef06642881/plants-11-01197-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/c3573cf9ca27/plants-11-01197-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/be48f0f0af40/plants-11-01197-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/1fe5fb272988/plants-11-01197-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f792/9102345/72aed14835aa/plants-11-01197-g007.jpg

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