Sistema multi-híbridos na cultura do milho: viabilidade técnica e econômica em zonas de manejos

Detalhes bibliográficos
Autor(a) principal: Baron, Felipe Arthur
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/23523
Resumo: Brazil is consolidated as the third largest maize producer in the world and the second largest exporter, with a high domestic consumption of cereal, as it is one of the world's leading producers of animal protein. The use of productivity zones, defining different homogeneous environments within an agricultural area is an important tool for the treatment of spatial variability. Thus, the increase in plant population per area may be an interesting factor in the search for high yields. However the response of the best plant population is dependent on the hybrid in question. Thus there is an ideal plant population for each production system when seeking high yields. The objective of this work is to identify the best adjustment of plant population and corn hybrids for two yield zones (high and low). Experiments with three maize hybrids were conducted in Boa Vista das Missões - RS, in an agricultural production area, with central pivot irrigation system, in the 2015/2016 agricultural year. Productivity zones were delineated from overlapping productivity maps. In each yield zone, three maize hybrids were tested: (a) Agroeste 1677 VT PRO3®, (b) BioGene 7318 YH and (c) Pioneer 1630 H. In each hybrid, five plant populations were tested: (i) 60,000, (ii) 75,000, (iii) 90,000, (iv) 105,000 and (v) 120,000 plants ha-1. The experiments were conducted in a randomized block design and arranged in a tri-factorial scheme (2x3x5), with four replications. Sowing was performed on August 30, 2015, using a spacing of 0.50 m between rows. Six components of yield and grain yield were evaluated. Through the equations obtained for productivity, the maximum technical efficiency and maximum economic efficiency were determined. The parameters evaluated were submitted to the normality test and subsequently to the analysis of variance (ANOVA) (p≤0.05). Significance was verified by the F test, the means of the qualitative factors (Productivity Zone and Hybrid) were compared by the Tukey test (p <0.05), while plant population were compared by regression analysis (p < 0.05). There is an average increase in yield of 5.35% with the use of a multi-hybrid sowing system. Even working with a single hybrid per field justifies the use of varied seed rate, however, it is necessary to know in detail the hybrid that will be used. There are differences between the optimum plant population for each yield zone, and the range of variation is extremely dependent on the hybrid being worked, requiring a timely adjustment for each genotype.
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spelling 2022-01-13T17:29:42Z2022-01-13T17:29:42Z2019-08-27http://repositorio.ufsm.br/handle/1/23523Brazil is consolidated as the third largest maize producer in the world and the second largest exporter, with a high domestic consumption of cereal, as it is one of the world's leading producers of animal protein. The use of productivity zones, defining different homogeneous environments within an agricultural area is an important tool for the treatment of spatial variability. Thus, the increase in plant population per area may be an interesting factor in the search for high yields. However the response of the best plant population is dependent on the hybrid in question. Thus there is an ideal plant population for each production system when seeking high yields. The objective of this work is to identify the best adjustment of plant population and corn hybrids for two yield zones (high and low). Experiments with three maize hybrids were conducted in Boa Vista das Missões - RS, in an agricultural production area, with central pivot irrigation system, in the 2015/2016 agricultural year. Productivity zones were delineated from overlapping productivity maps. In each yield zone, three maize hybrids were tested: (a) Agroeste 1677 VT PRO3®, (b) BioGene 7318 YH and (c) Pioneer 1630 H. In each hybrid, five plant populations were tested: (i) 60,000, (ii) 75,000, (iii) 90,000, (iv) 105,000 and (v) 120,000 plants ha-1. The experiments were conducted in a randomized block design and arranged in a tri-factorial scheme (2x3x5), with four replications. Sowing was performed on August 30, 2015, using a spacing of 0.50 m between rows. Six components of yield and grain yield were evaluated. Through the equations obtained for productivity, the maximum technical efficiency and maximum economic efficiency were determined. The parameters evaluated were submitted to the normality test and subsequently to the analysis of variance (ANOVA) (p≤0.05). Significance was verified by the F test, the means of the qualitative factors (Productivity Zone and Hybrid) were compared by the Tukey test (p <0.05), while plant population were compared by regression analysis (p < 0.05). There is an average increase in yield of 5.35% with the use of a multi-hybrid sowing system. Even working with a single hybrid per field justifies the use of varied seed rate, however, it is necessary to know in detail the hybrid that will be used. There are differences between the optimum plant population for each yield zone, and the range of variation is extremely dependent on the hybrid being worked, requiring a timely adjustment for each genotype.O Brasil encontra-se consolidado como 3º maior produtor de milho no mundo e 2º maior exportador, com um consumo doméstico do cereal elevado, uma vez que é um dos principais produtores mundiais de proteína animal. O uso de zonas de produtividade, definindo diferentes ambientes homogêneos dentro de uma área agrícola é uma ferramenta importante para o tratamento da variabilidade espacial. Desta forma, o aumento da população de plantas por área pode ser um fator importante para busca altos rendimentos. Entretanto a resposta da melhor população de plantas é dependente do híbrido em questão. Sendo assim existe uma população de plantas ideal para cada sistema de produção quando se busca altos rendimentos. O objetivo deste trabalho é identificar o melhor ajuste de população de plantas e híbridos de milho para duas zonas (alta e baixa) de produtividade. Experimentos com três híbridos de milho foram conduzidos no município de Boa Vista das Missões – RS, em uma área de produção agrícola, dotada de sistema de irrigação do tipo pivô central, na safra 2015/2016. Zonas de produtividade foram delineadas a partir da sobreposição de mapas de produtividade. Em cada zona de produtividade, foram testados três híbridos de milho, sendo: (a) Agroeste 1677 VT PRO3®, (b) BioGene 7318 YH e (c) Pioneer 1630 H. Em cada híbrido, foram testadas cinco população de plantas, sendo: (i) 60.000, (ii) 75.000, (iii) 90.000, (iv) 105.000 e (v) 120.000 plantas ha-1. Os experimentos foram conduzidos em delineamento experimental de blocos ao acaso e arranjados em esquema tri-fatorial (2x3x5), com quatro repetições. A semeadura foi realizada em 30 de agosto de 2015, utilizando um espaçamento entrelinhas de 0,50 m. Foram avaliados seis componentes do rendimento e a produtividade de grãos da cultura. Através das equações obtidas para produtividade, determinou-se ainda, a máxima eficiência técnica e máxima eficiência econômica. Os parâmetros avaliados foram submetidos ao teste de normalidade e, posteriormente, à análise de variância (ANOVA) (p≤0,05). Verificada a significância pelo teste F, as médias dos fatores qualitativos (Zona de Produtividade e Híbrido) foram comparadas pelo teste de Tukey (p<0,05), enquanto que as populações de plantas foram comparadas por meio de análise de regressão (p<0,05). Há um incremento médio na rentabilidade de 5,35 % com a utilização de um sistema multi-híbridos de semeadura. Mesmo trabalhando-se com um único híbrido por talhão, justifica-se o uso de taxa variada de sementes, necessitando, no entanto, conhecer-se de forma detalhada o híbrido que será utilizado. Há diferenças entre a ótima população de plantas para cada zona de produtividade, sendo que a amplitude de variação é extremamente dependente do híbrido que esta sendo trabalhado, necessitando e um ajuste pontual para cada genótipo.porUniversidade Federal de Santa MariaColégio Politécnico da UFSMPrograma de Pós-Graduação em Agricultura de PrecisãoUFSMBrasilAgronomiaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessVariabilidade espacialZea mays L.RentabilidadeSpatial variabilityProfitabilityCNPQ::CIENCIAS AGRARIAS::AGRONOMIASistema multi-híbridos na cultura do milho: viabilidade técnica e econômica em zonas de manejosMulti-hybrid system in corn crop: technical and economic feasibility in management zonesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisSanti, Antônio LuisBasso, Claudir JoséPaula, Gizelli Moiano Dehttp://lattes.cnpq.br/5335848931594681Baron, Felipe Arthur50010000000960060060026e69663-7809-4435-8e7a-419ac889c5f392bb76ba-7db2-49f8-98c0-423bed456d81610386be-5f66-4cd5-a1e3-b6572664657cde16b133-2a2f-43cc-b974-fa5b9dd8ad3areponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALDIS_PPGAP_2019_BARON_FELIPE.pdfDIS_PPGAP_2019_BARON_FELIPE.pdfDissertação de Mestradoapplication/pdf847990http://repositorio.ufsm.br/bitstream/1/23523/1/DIS_PPGAP_2019_BARON_FELIPE.pdf5aef5aeec1f87989ffbdfbde64b37e54MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.ufsm.br/bitstream/1/23523/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81956http://repositorio.ufsm.br/bitstream/1/23523/3/license.txt2f0571ecee68693bd5cd3f17c1e075dfMD531/235232022-08-31 12:34:39.266oai:repositorio.ufsm.br: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ório Institucionalhttp://repositorio.ufsm.br/PUBhttp://repositorio.ufsm.br/oai/requestopendoar:39132022-08-31T15:34:39Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.por.fl_str_mv Sistema multi-híbridos na cultura do milho: viabilidade técnica e econômica em zonas de manejos
dc.title.alternative.eng.fl_str_mv Multi-hybrid system in corn crop: technical and economic feasibility in management zones
title Sistema multi-híbridos na cultura do milho: viabilidade técnica e econômica em zonas de manejos
spellingShingle Sistema multi-híbridos na cultura do milho: viabilidade técnica e econômica em zonas de manejos
Baron, Felipe Arthur
Variabilidade espacial
Zea mays L.
Rentabilidade
Spatial variability
Profitability
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Sistema multi-híbridos na cultura do milho: viabilidade técnica e econômica em zonas de manejos
title_full Sistema multi-híbridos na cultura do milho: viabilidade técnica e econômica em zonas de manejos
title_fullStr Sistema multi-híbridos na cultura do milho: viabilidade técnica e econômica em zonas de manejos
title_full_unstemmed Sistema multi-híbridos na cultura do milho: viabilidade técnica e econômica em zonas de manejos
title_sort Sistema multi-híbridos na cultura do milho: viabilidade técnica e econômica em zonas de manejos
author Baron, Felipe Arthur
author_facet Baron, Felipe Arthur
author_role author
dc.contributor.advisor1Lattes.por.fl_str_mv
dc.contributor.advisor1.fl_str_mv Santi, Antônio Luis
dc.contributor.referee1.fl_str_mv Basso, Claudir José
dc.contributor.referee2.fl_str_mv Paula, Gizelli Moiano De
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/5335848931594681
dc.contributor.author.fl_str_mv Baron, Felipe Arthur
contributor_str_mv Santi, Antônio Luis
Basso, Claudir José
Paula, Gizelli Moiano De
dc.subject.por.fl_str_mv Variabilidade espacial
Zea mays L.
Rentabilidade
topic Variabilidade espacial
Zea mays L.
Rentabilidade
Spatial variability
Profitability
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
dc.subject.eng.fl_str_mv Spatial variability
Profitability
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description Brazil is consolidated as the third largest maize producer in the world and the second largest exporter, with a high domestic consumption of cereal, as it is one of the world's leading producers of animal protein. The use of productivity zones, defining different homogeneous environments within an agricultural area is an important tool for the treatment of spatial variability. Thus, the increase in plant population per area may be an interesting factor in the search for high yields. However the response of the best plant population is dependent on the hybrid in question. Thus there is an ideal plant population for each production system when seeking high yields. The objective of this work is to identify the best adjustment of plant population and corn hybrids for two yield zones (high and low). Experiments with three maize hybrids were conducted in Boa Vista das Missões - RS, in an agricultural production area, with central pivot irrigation system, in the 2015/2016 agricultural year. Productivity zones were delineated from overlapping productivity maps. In each yield zone, three maize hybrids were tested: (a) Agroeste 1677 VT PRO3®, (b) BioGene 7318 YH and (c) Pioneer 1630 H. In each hybrid, five plant populations were tested: (i) 60,000, (ii) 75,000, (iii) 90,000, (iv) 105,000 and (v) 120,000 plants ha-1. The experiments were conducted in a randomized block design and arranged in a tri-factorial scheme (2x3x5), with four replications. Sowing was performed on August 30, 2015, using a spacing of 0.50 m between rows. Six components of yield and grain yield were evaluated. Through the equations obtained for productivity, the maximum technical efficiency and maximum economic efficiency were determined. The parameters evaluated were submitted to the normality test and subsequently to the analysis of variance (ANOVA) (p≤0.05). Significance was verified by the F test, the means of the qualitative factors (Productivity Zone and Hybrid) were compared by the Tukey test (p <0.05), while plant population were compared by regression analysis (p < 0.05). There is an average increase in yield of 5.35% with the use of a multi-hybrid sowing system. Even working with a single hybrid per field justifies the use of varied seed rate, however, it is necessary to know in detail the hybrid that will be used. There are differences between the optimum plant population for each yield zone, and the range of variation is extremely dependent on the hybrid being worked, requiring a timely adjustment for each genotype.
publishDate 2019
dc.date.issued.fl_str_mv 2019-08-27
dc.date.accessioned.fl_str_mv 2022-01-13T17:29:42Z
dc.date.available.fl_str_mv 2022-01-13T17:29:42Z
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dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Colégio Politécnico da UFSM
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dc.publisher.initials.fl_str_mv UFSM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Agronomia
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Colégio Politécnico da UFSM
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