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Estimation of weed dry biomass and grain yield as a function of growth and yield traits under allelopathic weed management in maize

Bibliographic Details
Main Author: MAHMOOD,A.
Publication Date: 2015
Other Authors: KHALIQ,A., IHSAN,M.Z., NAEEM,M., DAUR,I., MATLOOB,A., EL-NAKHLAWY,F.S.
Format: Article
Language: eng
Source: Planta daninha (Online)
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582015000100023
Summary: Growing concerns about toxicity and development of resistance against synthetic herbicides have demanded looking for alternative weed management approaches. Allelopathy has gained sufficient support and potential for sustainable weed management. Aqueous extracts of six plant species (sunflower, rice, mulberry, maize, brassica and sorghum) in different combinations alone or in mixture with 75% reduced dose of herbicides were evaluated for two consecutive years under field conditions. A weedy check and S-metolachlor with atrazine (pre emergence) and atrazine alone (post emergence) at recommended rates was included for comparison. Weed dynamics, maize growth indices and yield estimation were done by following standard procedures. All aqueous plant extract combinations suppressed weed growth and biomass. Moreover, the suppressive effect was more pronounced when aqueous plant extracts were supplemented with reduced doses of herbicides. Brassica-sunflower-sorghum combination suppressed weeds by 74-80, 78-70, 65-68% during both years of study that was similar with S-metolachlor along half dose of atrazine and full dose of atrazine alone. Crop growth rate and dry matter accumulation attained peak values of 32.68 and 1,502 g m-2 d-1 for brassica-sunflower-sorghum combination at 60 and 75 days after sowing. Curve fitting regression for growth and yield traits predicted strong positive correlation to grain yield and negative correlation to weed dry biomass under allelopathic weed management in maize crop.
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spelling Estimation of weed dry biomass and grain yield as a function of growth and yield traits under allelopathic weed management in maizeZea maysallelopathycrop growth indicesmulberryplant combinationsGrowing concerns about toxicity and development of resistance against synthetic herbicides have demanded looking for alternative weed management approaches. Allelopathy has gained sufficient support and potential for sustainable weed management. Aqueous extracts of six plant species (sunflower, rice, mulberry, maize, brassica and sorghum) in different combinations alone or in mixture with 75% reduced dose of herbicides were evaluated for two consecutive years under field conditions. A weedy check and S-metolachlor with atrazine (pre emergence) and atrazine alone (post emergence) at recommended rates was included for comparison. Weed dynamics, maize growth indices and yield estimation were done by following standard procedures. All aqueous plant extract combinations suppressed weed growth and biomass. Moreover, the suppressive effect was more pronounced when aqueous plant extracts were supplemented with reduced doses of herbicides. Brassica-sunflower-sorghum combination suppressed weeds by 74-80, 78-70, 65-68% during both years of study that was similar with S-metolachlor along half dose of atrazine and full dose of atrazine alone. Crop growth rate and dry matter accumulation attained peak values of 32.68 and 1,502 g m-2 d-1 for brassica-sunflower-sorghum combination at 60 and 75 days after sowing. Curve fitting regression for growth and yield traits predicted strong positive correlation to grain yield and negative correlation to weed dry biomass under allelopathic weed management in maize crop.Sociedade Brasileira da Ciência das Plantas Daninhas 2015-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582015000100023Planta Daninha v.33 n.1 2015reponame:Planta daninha (Online)instname:Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)instacron:SBCPD10.1590/S0100-83582015000100003info:eu-repo/semantics/openAccessMAHMOOD,A.KHALIQ,A.IHSAN,M.Z.NAEEM,M.DAUR,I.MATLOOB,A.EL-NAKHLAWY,F.S.eng2015-09-01T00:00:00Zoai:scielo:S0100-83582015000100023Revistahttp://revistas.cpd.ufv.br/pdaninhaweb/https://old.scielo.br/oai/scielo-oai.php||rpdaninha@gmail.com1806-96810100-8358opendoar:2015-09-01T00:00Planta daninha (Online) - Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)false
dc.title.none.fl_str_mv Estimation of weed dry biomass and grain yield as a function of growth and yield traits under allelopathic weed management in maize
title Estimation of weed dry biomass and grain yield as a function of growth and yield traits under allelopathic weed management in maize
spellingShingle Estimation of weed dry biomass and grain yield as a function of growth and yield traits under allelopathic weed management in maize
MAHMOOD,A.
Zea mays
allelopathy
crop growth indices
mulberry
plant combinations
title_short Estimation of weed dry biomass and grain yield as a function of growth and yield traits under allelopathic weed management in maize
title_full Estimation of weed dry biomass and grain yield as a function of growth and yield traits under allelopathic weed management in maize
title_fullStr Estimation of weed dry biomass and grain yield as a function of growth and yield traits under allelopathic weed management in maize
title_full_unstemmed Estimation of weed dry biomass and grain yield as a function of growth and yield traits under allelopathic weed management in maize
title_sort Estimation of weed dry biomass and grain yield as a function of growth and yield traits under allelopathic weed management in maize
author MAHMOOD,A.
author_facet MAHMOOD,A.
KHALIQ,A.
IHSAN,M.Z.
NAEEM,M.
DAUR,I.
MATLOOB,A.
EL-NAKHLAWY,F.S.
author_role author
author2 KHALIQ,A.
IHSAN,M.Z.
NAEEM,M.
DAUR,I.
MATLOOB,A.
EL-NAKHLAWY,F.S.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv MAHMOOD,A.
KHALIQ,A.
IHSAN,M.Z.
NAEEM,M.
DAUR,I.
MATLOOB,A.
EL-NAKHLAWY,F.S.
dc.subject.por.fl_str_mv Zea mays
allelopathy
crop growth indices
mulberry
plant combinations
topic Zea mays
allelopathy
crop growth indices
mulberry
plant combinations
description Growing concerns about toxicity and development of resistance against synthetic herbicides have demanded looking for alternative weed management approaches. Allelopathy has gained sufficient support and potential for sustainable weed management. Aqueous extracts of six plant species (sunflower, rice, mulberry, maize, brassica and sorghum) in different combinations alone or in mixture with 75% reduced dose of herbicides were evaluated for two consecutive years under field conditions. A weedy check and S-metolachlor with atrazine (pre emergence) and atrazine alone (post emergence) at recommended rates was included for comparison. Weed dynamics, maize growth indices and yield estimation were done by following standard procedures. All aqueous plant extract combinations suppressed weed growth and biomass. Moreover, the suppressive effect was more pronounced when aqueous plant extracts were supplemented with reduced doses of herbicides. Brassica-sunflower-sorghum combination suppressed weeds by 74-80, 78-70, 65-68% during both years of study that was similar with S-metolachlor along half dose of atrazine and full dose of atrazine alone. Crop growth rate and dry matter accumulation attained peak values of 32.68 and 1,502 g m-2 d-1 for brassica-sunflower-sorghum combination at 60 and 75 days after sowing. Curve fitting regression for growth and yield traits predicted strong positive correlation to grain yield and negative correlation to weed dry biomass under allelopathic weed management in maize crop.
publishDate 2015
dc.date.none.fl_str_mv 2015-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582015000100023
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582015000100023
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-83582015000100003
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira da Ciência das Plantas Daninhas
publisher.none.fl_str_mv Sociedade Brasileira da Ciência das Plantas Daninhas
dc.source.none.fl_str_mv Planta Daninha v.33 n.1 2015
reponame:Planta daninha (Online)
instname:Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)
instacron:SBCPD
instname_str Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)
instacron_str SBCPD
institution SBCPD
reponame_str Planta daninha (Online)
collection Planta daninha (Online)
repository.name.fl_str_mv Planta daninha (Online) - Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)
repository.mail.fl_str_mv ||rpdaninha@gmail.com
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