Spatial Variability of Irrigated Garlic (Allium sativum L.) Production Components

Among the crops that are usually grown under irrigation, one can mention garlic, which is a product with high demand in Brazil and the world, it is highly valued in the cuisine of several countries, and is an aggregated crop with high economic value. In 2018, this work was conducted in Yellow Red La...

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Main Authors: Job Teixeira de Oliveira, Rubens Alves de Oliveira, Lucas Allan Almeida Oliveira, Paulo Teodoro, Rafael Montanari
Format: Article
Language:English
Published: American Society for Horticultural Science (ASHS) 2020-01-01
Series:HortScience
Subjects:
Online Access:https://journals.ashs.org/hortsci/view/journals/hortsci/55/3/article-p300.xml
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spelling doaj-6c70edb5c4204cb48cb50ca5e1b46f512020-11-25T03:33:12ZengAmerican Society for Horticultural Science (ASHS)HortScience2327-98342020-01-01553300303https://doi.org/10.21273/HORTSCI14409-19Spatial Variability of Irrigated Garlic (Allium sativum L.) Production ComponentsJob Teixeira de OliveiraRubens Alves de OliveiraLucas Allan Almeida OliveiraPaulo TeodoroRafael MontanariAmong the crops that are usually grown under irrigation, one can mention garlic, which is a product with high demand in Brazil and the world, it is highly valued in the cuisine of several countries, and is an aggregated crop with high economic value. In 2018, this work was conducted in Yellow Red Latosol. The objective was to characterize the structure and magnitude of the spatial distribution of garlic production components and to map the productive components to visualize spatial distribution and to evaluate the spatial correlation between garlic bulb yield (BY) and other variables of the crop: total plant mass (TPM), number of leaves (NL), floral tassel length (FTL), leaf length (LL), leaf width (LW), pseudostem diameter (PD), shoot wet mass (SWM), shoot dry mass (SDM), number of cloves per bulb (NCB), clove mass (CM), root dry mass (RDM), and irrigation (IRR). All these traits were sampled in a 90-point grid georeferenced. Data analysis using statistical and geostatistical techniques made it possible to verify that the production components and BY, TPM, NL, FTL, LL, LW, PD, SWM, SDM, CM, and IRR presented special dependence. The spatial correlation between BY and TPM, LW, and CM showed a moderate spatial dependence.https://journals.ashs.org/hortsci/view/journals/hortsci/55/3/article-p300.xmlprecision agriculture; geostatistics; plant traits
collection DOAJ
language English
format Article
sources DOAJ
author Job Teixeira de Oliveira
Rubens Alves de Oliveira
Lucas Allan Almeida Oliveira
Paulo Teodoro
Rafael Montanari
spellingShingle Job Teixeira de Oliveira
Rubens Alves de Oliveira
Lucas Allan Almeida Oliveira
Paulo Teodoro
Rafael Montanari
Spatial Variability of Irrigated Garlic (Allium sativum L.) Production Components
HortScience
precision agriculture; geostatistics; plant traits
author_facet Job Teixeira de Oliveira
Rubens Alves de Oliveira
Lucas Allan Almeida Oliveira
Paulo Teodoro
Rafael Montanari
author_sort Job Teixeira de Oliveira
title Spatial Variability of Irrigated Garlic (Allium sativum L.) Production Components
title_short Spatial Variability of Irrigated Garlic (Allium sativum L.) Production Components
title_full Spatial Variability of Irrigated Garlic (Allium sativum L.) Production Components
title_fullStr Spatial Variability of Irrigated Garlic (Allium sativum L.) Production Components
title_full_unstemmed Spatial Variability of Irrigated Garlic (Allium sativum L.) Production Components
title_sort spatial variability of irrigated garlic (allium sativum l.) production components
publisher American Society for Horticultural Science (ASHS)
series HortScience
issn 2327-9834
publishDate 2020-01-01
description Among the crops that are usually grown under irrigation, one can mention garlic, which is a product with high demand in Brazil and the world, it is highly valued in the cuisine of several countries, and is an aggregated crop with high economic value. In 2018, this work was conducted in Yellow Red Latosol. The objective was to characterize the structure and magnitude of the spatial distribution of garlic production components and to map the productive components to visualize spatial distribution and to evaluate the spatial correlation between garlic bulb yield (BY) and other variables of the crop: total plant mass (TPM), number of leaves (NL), floral tassel length (FTL), leaf length (LL), leaf width (LW), pseudostem diameter (PD), shoot wet mass (SWM), shoot dry mass (SDM), number of cloves per bulb (NCB), clove mass (CM), root dry mass (RDM), and irrigation (IRR). All these traits were sampled in a 90-point grid georeferenced. Data analysis using statistical and geostatistical techniques made it possible to verify that the production components and BY, TPM, NL, FTL, LL, LW, PD, SWM, SDM, CM, and IRR presented special dependence. The spatial correlation between BY and TPM, LW, and CM showed a moderate spatial dependence.
topic precision agriculture; geostatistics; plant traits
url https://journals.ashs.org/hortsci/view/journals/hortsci/55/3/article-p300.xml
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