Biometric evaluation and nutrients of the corn, pearl millet, and sorghum crops
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/27141 |
Resumo: | The objective of this work was to evaluate the biometric measurements and nutrient contents of the corn, sorghum, and pearl millet crops from 30 days after sowing up to ensiling time. The experiment was conducted in a randomized complete block design, in which the three crops were evaluated with eight replicates. Stem height and diameter and leaf length and width were measured to determine plant growth. In addition, samples were collected to evaluate plant chemical composition. For the characterization of nutrient accumulation and biometric evaluation, linear and nonlinear models were used. Dry matter accumulation did not differ between corn and sorghum, but decreased in pearl millet from the fiftieth day up to ensiling. Crude protein, ashes, and neutral detergent fiber tend to reduce over time. The biometric variables do not differ between corn, pearl millet, and sorghum from 30 days after sowing until ensiling time. |
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Biometric evaluation and nutrients of the corn, pearl millet, and sorghum cropsAvaliação biométrica e nutrientes das culturas de milho, milheto e sorgoPennisetum glaucum; Sorghum bicolor; Zea mays; linear model; nonlinear model.Pennisetum glaucum; Sorghum bicolor; Zea mays; modelo linear; modelo não linear.The objective of this work was to evaluate the biometric measurements and nutrient contents of the corn, sorghum, and pearl millet crops from 30 days after sowing up to ensiling time. The experiment was conducted in a randomized complete block design, in which the three crops were evaluated with eight replicates. Stem height and diameter and leaf length and width were measured to determine plant growth. In addition, samples were collected to evaluate plant chemical composition. For the characterization of nutrient accumulation and biometric evaluation, linear and nonlinear models were used. Dry matter accumulation did not differ between corn and sorghum, but decreased in pearl millet from the fiftieth day up to ensiling. Crude protein, ashes, and neutral detergent fiber tend to reduce over time. The biometric variables do not differ between corn, pearl millet, and sorghum from 30 days after sowing until ensiling time.O objetivo deste trabalho foi avaliar as medidas biométricas e o conteúdo de nutrientes das culturas de milho, sorgo e milheto desde 30 dias após a semeadura até o momento da ensilagem. O experimento foi conduzido em delineamento de blocos ao acaso, tendo-se avaliado as três culturas, com oito repetições. A altura e o diâmetro do caule e a largura e o comprimento das folhas foram medidos para determinar o crescimento das plantas. Além disso, foram coletadas amostras para avaliar a composição química das plantas. Para a caracterização do acúmulo de nutrientes e a avaliação biométrica, foram utilizados modelos lineares e não lineares. O acúmulo de matéria seca não diferiu entre o milho e o sorgo, mas diminuiu no milheto do quinquagésimo dia até a ensilagem. Proteína bruta, cinzas e fibras em detergente neutro tendem a diminuir com o tempo. As variáveis biométricas não diferem entre o milho, o milheto e o sorgo desde 30 dias após a semeadura até o momento da ensilagem.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraChrisostomo, Paulo Henrique BorgatiCamilo, Michele GabrielBaffa, Danielle FerreiraProcessi, Elizabeth FônsecaGlória, Leonardo SiqueiraFernandes, Alberto MagnoOliveira, Tadeu Silva de2022-10-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/27141Pesquisa Agropecuaria Brasileira; V.57, Jan./Dec., 2022: Publicação contínua em volume anual; e02907Pesquisa Agropecuária Brasileira; V.57, Jan./Dec., 2022: Publicação contínua em volume anual; e029071678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAenghttps://seer.sct.embrapa.br/index.php/pab/article/view/27141/15076Direitos autorais 2022 Pesquisa Agropecuária Brasileirainfo:eu-repo/semantics/openAccess2023-01-23T13:40:19Zoai:ojs.seer.sct.embrapa.br:article/27141Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2023-01-23T13:40:19Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Biometric evaluation and nutrients of the corn, pearl millet, and sorghum crops Avaliação biométrica e nutrientes das culturas de milho, milheto e sorgo |
title |
Biometric evaluation and nutrients of the corn, pearl millet, and sorghum crops |
spellingShingle |
Biometric evaluation and nutrients of the corn, pearl millet, and sorghum crops Chrisostomo, Paulo Henrique Borgati Pennisetum glaucum; Sorghum bicolor; Zea mays; linear model; nonlinear model. Pennisetum glaucum; Sorghum bicolor; Zea mays; modelo linear; modelo não linear. |
title_short |
Biometric evaluation and nutrients of the corn, pearl millet, and sorghum crops |
title_full |
Biometric evaluation and nutrients of the corn, pearl millet, and sorghum crops |
title_fullStr |
Biometric evaluation and nutrients of the corn, pearl millet, and sorghum crops |
title_full_unstemmed |
Biometric evaluation and nutrients of the corn, pearl millet, and sorghum crops |
title_sort |
Biometric evaluation and nutrients of the corn, pearl millet, and sorghum crops |
author |
Chrisostomo, Paulo Henrique Borgati |
author_facet |
Chrisostomo, Paulo Henrique Borgati Camilo, Michele Gabriel Baffa, Danielle Ferreira Processi, Elizabeth Fônseca Glória, Leonardo Siqueira Fernandes, Alberto Magno Oliveira, Tadeu Silva de |
author_role |
author |
author2 |
Camilo, Michele Gabriel Baffa, Danielle Ferreira Processi, Elizabeth Fônseca Glória, Leonardo Siqueira Fernandes, Alberto Magno Oliveira, Tadeu Silva de |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Chrisostomo, Paulo Henrique Borgati Camilo, Michele Gabriel Baffa, Danielle Ferreira Processi, Elizabeth Fônseca Glória, Leonardo Siqueira Fernandes, Alberto Magno Oliveira, Tadeu Silva de |
dc.subject.por.fl_str_mv |
Pennisetum glaucum; Sorghum bicolor; Zea mays; linear model; nonlinear model. Pennisetum glaucum; Sorghum bicolor; Zea mays; modelo linear; modelo não linear. |
topic |
Pennisetum glaucum; Sorghum bicolor; Zea mays; linear model; nonlinear model. Pennisetum glaucum; Sorghum bicolor; Zea mays; modelo linear; modelo não linear. |
description |
The objective of this work was to evaluate the biometric measurements and nutrient contents of the corn, sorghum, and pearl millet crops from 30 days after sowing up to ensiling time. The experiment was conducted in a randomized complete block design, in which the three crops were evaluated with eight replicates. Stem height and diameter and leaf length and width were measured to determine plant growth. In addition, samples were collected to evaluate plant chemical composition. For the characterization of nutrient accumulation and biometric evaluation, linear and nonlinear models were used. Dry matter accumulation did not differ between corn and sorghum, but decreased in pearl millet from the fiftieth day up to ensiling. Crude protein, ashes, and neutral detergent fiber tend to reduce over time. The biometric variables do not differ between corn, pearl millet, and sorghum from 30 days after sowing until ensiling time. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-05 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/27141 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/27141 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/27141/15076 |
dc.rights.driver.fl_str_mv |
Direitos autorais 2022 Pesquisa Agropecuária Brasileira info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2022 Pesquisa Agropecuária Brasileira |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; V.57, Jan./Dec., 2022: Publicação contínua em volume anual; e02907 Pesquisa Agropecuária Brasileira; V.57, Jan./Dec., 2022: Publicação contínua em volume anual; e02907 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416679388086272 |