Spectral reflectance characteristics to distinguish Malva neglecta in wheat (Triticum aestivum)

A field experiment was carried out to distinguishing Malva neglecta from wheat (Triticum aestivum L.) crop based on their spectral reflectance characteristics through remote sensing during rabi seasons of 2010-11and 2011-12. The investigation consists of six treatments each having different populat...

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Main Authors: RAMANJIT KAUR, MANPREET JAIDKA
Format: Article
Language:English
Published: Indian Council of Agricultural Research 2014-10-01
Series:The Indian Journal of Agricultural Sciences
Subjects:
Online Access:https://epubs.icar.org.in/index.php/IJAgS/article/view/44208
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author RAMANJIT KAUR
MANPREET JAIDKA
author_facet RAMANJIT KAUR
MANPREET JAIDKA
author_sort RAMANJIT KAUR
collection DOAJ
description A field experiment was carried out to distinguishing Malva neglecta from wheat (Triticum aestivum L.) crop based on their spectral reflectance characteristics through remote sensing during rabi seasons of 2010-11and 2011-12. The investigation consists of six treatments each having different population levels of Malva neglecta, viz. 0, 3, 6, 9, 12 plants/m2 and a treatment having pure population or solid stand of Malva neglecta. The results indicated a decreasing trend in effective tillers, number of grains/ear, 1000-grain weight and grain yield of wheat with increasing population densities of Malva neglecta from 3 to 12 plants/m2. Highest grain yield of wheat (5.75 tonnes/ha) was recorded under pure wheat treatment (solid stand) and lowest grain yield (3.24 tonnes/ha) was recorded in treatment having 12 plants of Malva neglecta/m2. Higher radiance ratio and NDVI values were recorded in pure wheat treatment and minimum in pure weed treatment. It was observed that by using radiance ratio and NDVI, pure wheat can be distinguished from pure populations of Malva neglecta after 30 DAS and remain distinguished up to 120 DAS and different levels of weed population can be discriminated amongst themselves from 60 DAS onwards. From the study it was concluded that remote sensing technology can be used for identification of different weed species and their infestations in field crops. Weed prescription maps can be prepared with Geographic Information System (GIS), on the basis of which farmers can be advised to take the preventive control measures.
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spelling doaj.art-9ff99f5e11dd4295802f85f24f4868a72023-08-29T05:25:36ZengIndian Council of Agricultural ResearchThe Indian Journal of Agricultural Sciences0019-50222394-33192014-10-01841010.56093/ijas.v84i10.44208Spectral reflectance characteristics to distinguish Malva neglecta in wheat (Triticum aestivum)RAMANJIT KAUR0MANPREET JAIDKA1Indian Agricultural Research Institute, New Delhi 110 012Punjab Agricultural University, Ludhiana 141 004 A field experiment was carried out to distinguishing Malva neglecta from wheat (Triticum aestivum L.) crop based on their spectral reflectance characteristics through remote sensing during rabi seasons of 2010-11and 2011-12. The investigation consists of six treatments each having different population levels of Malva neglecta, viz. 0, 3, 6, 9, 12 plants/m2 and a treatment having pure population or solid stand of Malva neglecta. The results indicated a decreasing trend in effective tillers, number of grains/ear, 1000-grain weight and grain yield of wheat with increasing population densities of Malva neglecta from 3 to 12 plants/m2. Highest grain yield of wheat (5.75 tonnes/ha) was recorded under pure wheat treatment (solid stand) and lowest grain yield (3.24 tonnes/ha) was recorded in treatment having 12 plants of Malva neglecta/m2. Higher radiance ratio and NDVI values were recorded in pure wheat treatment and minimum in pure weed treatment. It was observed that by using radiance ratio and NDVI, pure wheat can be distinguished from pure populations of Malva neglecta after 30 DAS and remain distinguished up to 120 DAS and different levels of weed population can be discriminated amongst themselves from 60 DAS onwards. From the study it was concluded that remote sensing technology can be used for identification of different weed species and their infestations in field crops. Weed prescription maps can be prepared with Geographic Information System (GIS), on the basis of which farmers can be advised to take the preventive control measures. https://epubs.icar.org.in/index.php/IJAgS/article/view/44208Grain yieldMalva neglectaNDVIRadiance RatioRemote SensingTriticum aestivum
spellingShingle RAMANJIT KAUR
MANPREET JAIDKA
Spectral reflectance characteristics to distinguish Malva neglecta in wheat (Triticum aestivum)
The Indian Journal of Agricultural Sciences
Grain yield
Malva neglecta
NDVI
Radiance Ratio
Remote Sensing
Triticum aestivum
title Spectral reflectance characteristics to distinguish Malva neglecta in wheat (Triticum aestivum)
title_full Spectral reflectance characteristics to distinguish Malva neglecta in wheat (Triticum aestivum)
title_fullStr Spectral reflectance characteristics to distinguish Malva neglecta in wheat (Triticum aestivum)
title_full_unstemmed Spectral reflectance characteristics to distinguish Malva neglecta in wheat (Triticum aestivum)
title_short Spectral reflectance characteristics to distinguish Malva neglecta in wheat (Triticum aestivum)
title_sort spectral reflectance characteristics to distinguish malva neglecta in wheat triticum aestivum
topic Grain yield
Malva neglecta
NDVI
Radiance Ratio
Remote Sensing
Triticum aestivum
url https://epubs.icar.org.in/index.php/IJAgS/article/view/44208
work_keys_str_mv AT ramanjitkaur spectralreflectancecharacteristicstodistinguishmalvaneglectainwheattriticumaestivum
AT manpreetjaidka spectralreflectancecharacteristicstodistinguishmalvaneglectainwheattriticumaestivum