NORMAS PRELIMINARES DE DIAGNÓSTICO DE NUTRIMENTO COMPUESTO Y CORRELACIONES ENTRE NUTRIMENTOS Y RENDIMIENTO EN PIMIENTO (Capsicum annuum L.)

Pepper is one of the most important crops in Mexico. It is known that healthy plants may resist in a better way to pests and diseases. Thus, balanced nutrient quantity must be provided to the plants. In this context, it is important to account with nutrient norms and to be able to perform correct nu...

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Detalles Bibliográficos
Autores: L. Arroyo–Vargas, J. L. Tirado–Torres, V. H. Volke–Haller, R. D. Valdez–Cepeda
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:México
Institución:Universidad Autónoma Chapingo
Repositorio:Redalyc-UACHP
OAI Identifier:oai:redalyc.org:93927469008
Acceso en línea:https://www.redalyc.org/articulo.oa?id=93927469008
Access Level:acceso abierto
Palabra clave:Agrociencias
Greenhouse
Capsicum annum L
Steiner nutrient solution
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spelling NORMAS PRELIMINARES DE DIAGNÓSTICO DE NUTRIMENTO COMPUESTO Y CORRELACIONES ENTRE NUTRIMENTOS Y RENDIMIENTO EN PIMIENTO (Capsicum annuum L.)L. Arroyo–VargasJ. L. Tirado–TorresV. H. Volke–HallerR. D. Valdez–CepedaAgrocienciasGreenhouseGreenhouseCapsicum annum LCapsicum annum LSteiner nutrient solutionPepper is one of the most important crops in Mexico. It is known that healthy plants may resist in a better way to pests and diseases. Thus, balanced nutrient quantity must be provided to the plants. In this context, it is important to account with nutrient norms and to be able to perform correct nutrient diagnosis. Therefore, the aims of this study were to determine compositional nutrient diagnosis (CND) standards and to identify important correlations between nutrients and between nutrients and yield. Thus, one experiment under greenhouse conditions was carried out taking into account three concentration levels of the Steiner nutrient solution. Fruit fresh matter was considered as yield when three cuts were performed. Tissues (mature leaves) from plants were sampled to quantify nutrient (N, P, K, Ca, Mg, Fe, Cu and Mn) concentrations. CND norms were computed using such a database. Pearson correlations were computed in order to identify those significant. Row–centered log ratios (CND norms, mean ± 1 standard deviation) for d = 8 nutrients under the basis of high–yield subpopulation (n = 19, yield > 1333.33 g Plant–1) are: = 2.51 ± 0.17, = 0.09 ± 0.14, = 2.57 ± 0.25, = 1.66 ± 0.16, = 0.56 ± 0.13, = –3.76 ± 0.11, = –5.96 ± 0.25, = –3.13 ± 0.14 y = 5.46 ± 0.12. And their corresponding sufficiency ranges (mean ± 1 standard deviation, g Kg–1) are: 45.88 ± 6.64 for N, 4.16 ± 0.96 for P, 49.69 ± 12.2 for K, 19.98 ± 4.65 for Ca, 6.59 ± 1.21 for Mg, 0.09 ± 0.01 fore Fe, 0.01 ± 0.003 for Cu and 0.16 ± 0.04 fore Mn. Yield depended significantly (p≤0.05) on P concentration, in a negative way. However, it appears N was the most limitating nutrient under greenhouse conditions. Optimum N concentration was at a different level when compared with that of the same species grown under field conditions.Universidad Autónoma de Yucatán2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdf1870-0462https://www.redalyc.org/articulo.oa?id=93927469008Tropical and Subtropical Agroecosystems (México) Num.1 Vol.16reponame:Redalyc-UACHPinstname:Universidad Autónoma Chapingoinstacron:UACHPeshttp://www.redalyc.org/revista.oa?id=939Tropical and Subtropical Agroecosystemsinfo:eu-repo/semantics/openAccessoai:redalyc.org:939274690082025-09-18T19:00:56Z
dc.title.none.fl_str_mv NORMAS PRELIMINARES DE DIAGNÓSTICO DE NUTRIMENTO COMPUESTO Y CORRELACIONES ENTRE NUTRIMENTOS Y RENDIMIENTO EN PIMIENTO (Capsicum annuum L.)
title NORMAS PRELIMINARES DE DIAGNÓSTICO DE NUTRIMENTO COMPUESTO Y CORRELACIONES ENTRE NUTRIMENTOS Y RENDIMIENTO EN PIMIENTO (Capsicum annuum L.)
spellingShingle NORMAS PRELIMINARES DE DIAGNÓSTICO DE NUTRIMENTO COMPUESTO Y CORRELACIONES ENTRE NUTRIMENTOS Y RENDIMIENTO EN PIMIENTO (Capsicum annuum L.)
L. Arroyo–Vargas
Agrociencias
Greenhouse
Greenhouse
Capsicum annum L
Capsicum annum L
Steiner nutrient solution
title_short NORMAS PRELIMINARES DE DIAGNÓSTICO DE NUTRIMENTO COMPUESTO Y CORRELACIONES ENTRE NUTRIMENTOS Y RENDIMIENTO EN PIMIENTO (Capsicum annuum L.)
title_full NORMAS PRELIMINARES DE DIAGNÓSTICO DE NUTRIMENTO COMPUESTO Y CORRELACIONES ENTRE NUTRIMENTOS Y RENDIMIENTO EN PIMIENTO (Capsicum annuum L.)
title_fullStr NORMAS PRELIMINARES DE DIAGNÓSTICO DE NUTRIMENTO COMPUESTO Y CORRELACIONES ENTRE NUTRIMENTOS Y RENDIMIENTO EN PIMIENTO (Capsicum annuum L.)
title_full_unstemmed NORMAS PRELIMINARES DE DIAGNÓSTICO DE NUTRIMENTO COMPUESTO Y CORRELACIONES ENTRE NUTRIMENTOS Y RENDIMIENTO EN PIMIENTO (Capsicum annuum L.)
title_sort NORMAS PRELIMINARES DE DIAGNÓSTICO DE NUTRIMENTO COMPUESTO Y CORRELACIONES ENTRE NUTRIMENTOS Y RENDIMIENTO EN PIMIENTO (Capsicum annuum L.)
dc.creator.none.fl_str_mv L. Arroyo–Vargas
J. L. Tirado–Torres
V. H. Volke–Haller
R. D. Valdez–Cepeda
author L. Arroyo–Vargas
author_facet L. Arroyo–Vargas
J. L. Tirado–Torres
V. H. Volke–Haller
R. D. Valdez–Cepeda
author_role author
author2 J. L. Tirado–Torres
V. H. Volke–Haller
R. D. Valdez–Cepeda
author2_role author
author
author
dc.subject.none.fl_str_mv Agrociencias
Greenhouse
Greenhouse
Capsicum annum L
Capsicum annum L
Steiner nutrient solution
topic Agrociencias
Greenhouse
Greenhouse
Capsicum annum L
Capsicum annum L
Steiner nutrient solution
description Pepper is one of the most important crops in Mexico. It is known that healthy plants may resist in a better way to pests and diseases. Thus, balanced nutrient quantity must be provided to the plants. In this context, it is important to account with nutrient norms and to be able to perform correct nutrient diagnosis. Therefore, the aims of this study were to determine compositional nutrient diagnosis (CND) standards and to identify important correlations between nutrients and between nutrients and yield. Thus, one experiment under greenhouse conditions was carried out taking into account three concentration levels of the Steiner nutrient solution. Fruit fresh matter was considered as yield when three cuts were performed. Tissues (mature leaves) from plants were sampled to quantify nutrient (N, P, K, Ca, Mg, Fe, Cu and Mn) concentrations. CND norms were computed using such a database. Pearson correlations were computed in order to identify those significant. Row–centered log ratios (CND norms, mean ± 1 standard deviation) for d = 8 nutrients under the basis of high–yield subpopulation (n = 19, yield > 1333.33 g Plant–1) are: = 2.51 ± 0.17, = 0.09 ± 0.14, = 2.57 ± 0.25, = 1.66 ± 0.16, = 0.56 ± 0.13, = –3.76 ± 0.11, = –5.96 ± 0.25, = –3.13 ± 0.14 y = 5.46 ± 0.12. And their corresponding sufficiency ranges (mean ± 1 standard deviation, g Kg–1) are: 45.88 ± 6.64 for N, 4.16 ± 0.96 for P, 49.69 ± 12.2 for K, 19.98 ± 4.65 for Ca, 6.59 ± 1.21 for Mg, 0.09 ± 0.01 fore Fe, 0.01 ± 0.003 for Cu and 0.16 ± 0.04 fore Mn. Yield depended significantly (p≤0.05) on P concentration, in a negative way. However, it appears N was the most limitating nutrient under greenhouse conditions. Optimum N concentration was at a different level when compared with that of the same species grown under field conditions.
publishDate 2013
dc.date.none.fl_str_mv 2013
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 1870-0462
https://www.redalyc.org/articulo.oa?id=93927469008
identifier_str_mv 1870-0462
url https://www.redalyc.org/articulo.oa?id=93927469008
dc.language.none.fl_str_mv es
language_invalid_str_mv es
dc.relation.none.fl_str_mv http://www.redalyc.org/revista.oa?id=939
dc.rights.none.fl_str_mv Tropical and Subtropical Agroecosystems
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Tropical and Subtropical Agroecosystems
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Autónoma de Yucatán
publisher.none.fl_str_mv Universidad Autónoma de Yucatán
dc.source.none.fl_str_mv Tropical and Subtropical Agroecosystems (México) Num.1 Vol.16
reponame:Redalyc-UACHP
instname:Universidad Autónoma Chapingo
instacron:UACHP
instname_str Universidad Autónoma Chapingo
instacron_str UACHP
institution UACHP
reponame_str Redalyc-UACHP
collection Redalyc-UACHP
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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