Spatial dependence and experimental precision in snap bean ( Phaseolus vulgaris L.) trials related to the number of plants and harvests

ABSTRACT The productive variability in horticultural crops affects the planning and quality of the experiments, leading to wrong conclusions. The objectives of this study were to verify the spatial dependence of the fresh biomass of snap beans and to dimension the number of plants and harvests that...

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Main Authors: Alessandro Dal'Col Lúcio, Vilson Benz, Lindolfo Storck, Alberto Cargnelutti Filho
Format: Article
Language:English
Published: Universidade Federal de Lavras 2016-04-01
Series:Ciência e Agrotecnologia
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000200184&lng=en&tlng=en
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spelling doaj-99869783069042d1976d985902d6d7912020-11-24T21:02:23ZengUniversidade Federal de LavrasCiência e Agrotecnologia1981-18292016-04-0140218419710.1590/1413-70542016402041815S1413-70542016000200184Spatial dependence and experimental precision in snap bean ( Phaseolus vulgaris L.) trials related to the number of plants and harvestsAlessandro Dal'Col LúcioVilson BenzLindolfo StorckAlberto Cargnelutti FilhoABSTRACT The productive variability in horticultural crops affects the planning and quality of the experiments, leading to wrong conclusions. The objectives of this study were to verify the spatial dependence of the fresh biomass of snap beans and to dimension the number of plants and harvests that are necessary to improve experimental accuracy in trials. The data of the fresh biomass of snap beans from uniformity trials carried out in a greenhouse and in the field with semivariograms were created with data transformed into indicators. Thus, they were combined on scenarios of plot size and harvest grouping, and they were adjusted to the spherical, exponential and Gaussian models. A response surface was also applied, with the variation coefficient as a dependent variable and the numbers of plants per plot and harvests as independent variables. The estimates of the semivariogram models parameters indicated a weak spatial dependence. The average of the fresh biomass of snap beans is distributed randomly in the trials, and it is not influenced by the number of plants per plot or by the number of grouped harvests. The best combinations between the number of plants per plot and harvest, for the smaller variation coefficients, are plots of 24 plants for plastic greenhouse and field, and 28 plants for plastic tunnel, in the autumn-winter, combined with the grouping of all harvests. In the spring-summer the number of plants per plot was 30 for plastic tunnel and field, also combined with the grouping of all harvests.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000200184&lng=en&tlng=enGeoestatísticavariabilidade espacialmodelos de regressão múltiplaplanejamento de experimentoscoeficiente de variação
collection DOAJ
language English
format Article
sources DOAJ
author Alessandro Dal'Col Lúcio
Vilson Benz
Lindolfo Storck
Alberto Cargnelutti Filho
spellingShingle Alessandro Dal'Col Lúcio
Vilson Benz
Lindolfo Storck
Alberto Cargnelutti Filho
Spatial dependence and experimental precision in snap bean ( Phaseolus vulgaris L.) trials related to the number of plants and harvests
Ciência e Agrotecnologia
Geoestatística
variabilidade espacial
modelos de regressão múltipla
planejamento de experimentos
coeficiente de variação
author_facet Alessandro Dal'Col Lúcio
Vilson Benz
Lindolfo Storck
Alberto Cargnelutti Filho
author_sort Alessandro Dal'Col Lúcio
title Spatial dependence and experimental precision in snap bean ( Phaseolus vulgaris L.) trials related to the number of plants and harvests
title_short Spatial dependence and experimental precision in snap bean ( Phaseolus vulgaris L.) trials related to the number of plants and harvests
title_full Spatial dependence and experimental precision in snap bean ( Phaseolus vulgaris L.) trials related to the number of plants and harvests
title_fullStr Spatial dependence and experimental precision in snap bean ( Phaseolus vulgaris L.) trials related to the number of plants and harvests
title_full_unstemmed Spatial dependence and experimental precision in snap bean ( Phaseolus vulgaris L.) trials related to the number of plants and harvests
title_sort spatial dependence and experimental precision in snap bean ( phaseolus vulgaris l.) trials related to the number of plants and harvests
publisher Universidade Federal de Lavras
series Ciência e Agrotecnologia
issn 1981-1829
publishDate 2016-04-01
description ABSTRACT The productive variability in horticultural crops affects the planning and quality of the experiments, leading to wrong conclusions. The objectives of this study were to verify the spatial dependence of the fresh biomass of snap beans and to dimension the number of plants and harvests that are necessary to improve experimental accuracy in trials. The data of the fresh biomass of snap beans from uniformity trials carried out in a greenhouse and in the field with semivariograms were created with data transformed into indicators. Thus, they were combined on scenarios of plot size and harvest grouping, and they were adjusted to the spherical, exponential and Gaussian models. A response surface was also applied, with the variation coefficient as a dependent variable and the numbers of plants per plot and harvests as independent variables. The estimates of the semivariogram models parameters indicated a weak spatial dependence. The average of the fresh biomass of snap beans is distributed randomly in the trials, and it is not influenced by the number of plants per plot or by the number of grouped harvests. The best combinations between the number of plants per plot and harvest, for the smaller variation coefficients, are plots of 24 plants for plastic greenhouse and field, and 28 plants for plastic tunnel, in the autumn-winter, combined with the grouping of all harvests. In the spring-summer the number of plants per plot was 30 for plastic tunnel and field, also combined with the grouping of all harvests.
topic Geoestatística
variabilidade espacial
modelos de regressão múltipla
planejamento de experimentos
coeficiente de variação
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000200184&lng=en&tlng=en
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AT lindolfostorck spatialdependenceandexperimentalprecisioninsnapbeanphaseolusvulgarisltrialsrelatedtothenumberofplantsandharvests
AT albertocargneluttifilho spatialdependenceandexperimentalprecisioninsnapbeanphaseolusvulgarisltrialsrelatedtothenumberofplantsandharvests
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