Tests to evaluate the physiological potential of Mombasa grass seeds
Main Author: | |
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Publication Date: | 2020 |
Other Authors: | , , , |
Format: | Article |
Language: | eng |
Source: | Repositório Institucional da UNESP |
Download full: | http://dx.doi.org/10.5935/1806-6690.20200009 http://hdl.handle.net/11449/196565 |
Summary: | Identifying fast and efficient tests to evaluate the vigor of forage grass seed lots is desirable in the quality control programs of the companies in this sector. Thus, the objective was to evaluate the efficiency of vigor tests on the physiological quality of seeds of Panicum maximum, cv. Mombasa, for the differentiation of lots and prediction of seedling emergence in the field. Nineteen seed lots were subjected to evaluations of moisture content, germination, first count, germination speed index, seedling emergence in sand, first count of seedling emergence in sand, seedling root and shoot lengths, seedling emergence in the field and computerized analysis of seedling images obtained through SVIS (R) software. The experimental design was completely randomized for the tests performed in the laboratory and randomized blocks for the emergence test in the field. The data were subjected to analysis of variance and the means were compared by Scott-Knott test at 5% probability level. Cluster analysis of seed lots and principal component analysis were performed. The uniformity index, evaluated by image analysis and by the root length test, is efficient in evaluating the physiological potential of seeds of Panicum maximum, cv. Mombasa, providing information similar to those obtained with the test of seedling emergence in the field. |
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Tests to evaluate the physiological potential of Mombasa grass seedsPanicum maximumSVIS (R)Principal componentVigorImage analysisIdentifying fast and efficient tests to evaluate the vigor of forage grass seed lots is desirable in the quality control programs of the companies in this sector. Thus, the objective was to evaluate the efficiency of vigor tests on the physiological quality of seeds of Panicum maximum, cv. Mombasa, for the differentiation of lots and prediction of seedling emergence in the field. Nineteen seed lots were subjected to evaluations of moisture content, germination, first count, germination speed index, seedling emergence in sand, first count of seedling emergence in sand, seedling root and shoot lengths, seedling emergence in the field and computerized analysis of seedling images obtained through SVIS (R) software. The experimental design was completely randomized for the tests performed in the laboratory and randomized blocks for the emergence test in the field. The data were subjected to analysis of variance and the means were compared by Scott-Knott test at 5% probability level. Cluster analysis of seed lots and principal component analysis were performed. The uniformity index, evaluated by image analysis and by the root length test, is efficient in evaluating the physiological potential of seeds of Panicum maximum, cv. Mombasa, providing information similar to those obtained with the test of seedling emergence in the field.Univ Sao Paulo, UNESP, FCAV, Dept Prod Vegetal, Jaboticabal, SP, BrazilUniv Sao Paulo, ESALQ, Dept Prod Vegetal, Jaboticabal, SP, BrazilUniv Fed Rural Semiarido UFERSA, Dept Ciencias Agron & Florestais, Mossoro, RN, BrazilUniv Sao Paulo, UNESP, FCAV, Dept Prod Vegetal, Jaboticabal, SP, BrazilUniv Federal Ceara, Dept GeolUniversidade Estadual Paulista (Unesp)Univ Fed Rural Semiarido UFERSACarlos Bezerra Pereira, Francisco Elder [UNESP]Martins, Cibele Chalita [UNESP]Jeromini, Tatiane Sanches [UNESP]Gomes-Junior, Francisco GuilhienTorres, Salvador Barros2020-12-10T19:49:03Z2020-12-10T19:49:03Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8http://dx.doi.org/10.5935/1806-6690.20200009Revista Ciencia Agronomica. Fortaleza: Univ Federal Ceara, Dept Geol, v. 51, n. 1, 8 p., 2020.0045-6888http://hdl.handle.net/11449/19656510.5935/1806-6690.20200009WOS:00051232550000196698336633254450000-0002-1720-9252Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Ciencia Agronomicainfo:eu-repo/semantics/openAccess2021-10-23T08:10:58Zoai:repositorio.unesp.br:11449/196565Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T08:10:58Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Tests to evaluate the physiological potential of Mombasa grass seeds |
title |
Tests to evaluate the physiological potential of Mombasa grass seeds |
spellingShingle |
Tests to evaluate the physiological potential of Mombasa grass seeds Carlos Bezerra Pereira, Francisco Elder [UNESP] Panicum maximum SVIS (R) Principal component Vigor Image analysis |
title_short |
Tests to evaluate the physiological potential of Mombasa grass seeds |
title_full |
Tests to evaluate the physiological potential of Mombasa grass seeds |
title_fullStr |
Tests to evaluate the physiological potential of Mombasa grass seeds |
title_full_unstemmed |
Tests to evaluate the physiological potential of Mombasa grass seeds |
title_sort |
Tests to evaluate the physiological potential of Mombasa grass seeds |
author |
Carlos Bezerra Pereira, Francisco Elder [UNESP] |
author_facet |
Carlos Bezerra Pereira, Francisco Elder [UNESP] Martins, Cibele Chalita [UNESP] Jeromini, Tatiane Sanches [UNESP] Gomes-Junior, Francisco Guilhien Torres, Salvador Barros |
author_role |
author |
author2 |
Martins, Cibele Chalita [UNESP] Jeromini, Tatiane Sanches [UNESP] Gomes-Junior, Francisco Guilhien Torres, Salvador Barros |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Univ Fed Rural Semiarido UFERSA |
dc.contributor.author.fl_str_mv |
Carlos Bezerra Pereira, Francisco Elder [UNESP] Martins, Cibele Chalita [UNESP] Jeromini, Tatiane Sanches [UNESP] Gomes-Junior, Francisco Guilhien Torres, Salvador Barros |
dc.subject.por.fl_str_mv |
Panicum maximum SVIS (R) Principal component Vigor Image analysis |
topic |
Panicum maximum SVIS (R) Principal component Vigor Image analysis |
description |
Identifying fast and efficient tests to evaluate the vigor of forage grass seed lots is desirable in the quality control programs of the companies in this sector. Thus, the objective was to evaluate the efficiency of vigor tests on the physiological quality of seeds of Panicum maximum, cv. Mombasa, for the differentiation of lots and prediction of seedling emergence in the field. Nineteen seed lots were subjected to evaluations of moisture content, germination, first count, germination speed index, seedling emergence in sand, first count of seedling emergence in sand, seedling root and shoot lengths, seedling emergence in the field and computerized analysis of seedling images obtained through SVIS (R) software. The experimental design was completely randomized for the tests performed in the laboratory and randomized blocks for the emergence test in the field. The data were subjected to analysis of variance and the means were compared by Scott-Knott test at 5% probability level. Cluster analysis of seed lots and principal component analysis were performed. The uniformity index, evaluated by image analysis and by the root length test, is efficient in evaluating the physiological potential of seeds of Panicum maximum, cv. Mombasa, providing information similar to those obtained with the test of seedling emergence in the field. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-10T19:49:03Z 2020-12-10T19:49:03Z 2020-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.5935/1806-6690.20200009 Revista Ciencia Agronomica. Fortaleza: Univ Federal Ceara, Dept Geol, v. 51, n. 1, 8 p., 2020. 0045-6888 http://hdl.handle.net/11449/196565 10.5935/1806-6690.20200009 WOS:000512325500001 9669833663325445 0000-0002-1720-9252 |
url |
http://dx.doi.org/10.5935/1806-6690.20200009 http://hdl.handle.net/11449/196565 |
identifier_str_mv |
Revista Ciencia Agronomica. Fortaleza: Univ Federal Ceara, Dept Geol, v. 51, n. 1, 8 p., 2020. 0045-6888 10.5935/1806-6690.20200009 WOS:000512325500001 9669833663325445 0000-0002-1720-9252 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Revista Ciencia Agronomica |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
8 |
dc.publisher.none.fl_str_mv |
Univ Federal Ceara, Dept Geol |
publisher.none.fl_str_mv |
Univ Federal Ceara, Dept Geol |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1797789868470829056 |