Optimization of corn plant population according to management zones in Southern Brazil

Hörbe, Tiago de Andrade Neves; Amado, Telmo Jorge Carneiro; Ferreira, Ademir Oliveira; Alba, Paulo José

doi:10.1007/s11119-013-9308-7

Cited by 52 publications

(40 citation statements)

References 26 publications

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“…These results indicate the importance of the variable farmer's experience in defining MZs, which can be an economical and simplified approach for MZs generation for soil sampling optimization and variation of certain management and planting operations. This is in line with the results obtained by Fleming et al (2004), Khosla et al (2002), and Hörbe et al (2013) who also found satisfactory results using empirical knowledge of the farmer to define MZs. When the farmer suggests a specific number of classes (in this study the division into three classes was performed using the variable farmer's experience by the owner), the division into more classes (four or five classes) has no practical application and, as demonstrated by the performance indexes, they do not show satisfactory results.…”

Section: Attributessupporting

confidence: 91%

“…However, according to Fleming et al (2004), the potential contribution of the farmer's experience has not been fully utilized. Hörbe et al (2013) delineated MZs based on farmer's experience and classified an agricultural area into high, medium, and low corn yield areas, reaching the optimal number of three MZs, and analysis of variance indicated heterogeneity of soil fertility between the MZs. Nkoka et al (2014) established irrigation systems in Mozambique based on the specific context of each area and each system displayed a unique pattern of management, based on the history a farmer has about the field.…”

Section: Introductionmentioning

confidence: 99%

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Use of the farmer’s experience variable in the generation of management zones

Schenatto

Souza

Bazzi

et al. 2017

SCA

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In the spatial variability management of fields, the approach based on management zones (MZs) divides the area into sub-regions, which have spatially homogeneous topography and soil conditions. Such MZs should lead to the same potential yields. Farmers understand which areas of a field have high and low yields, and use of this knowledge may allow the identification of MZs in a field based on production history. The objective of the present study was to evaluate the application of farmer's experience to determine MZs. The study was conducted in three agricultural fields located in the west of the Paraná State in Brazil, and the MZs were generated considering three cases: a) without the use of the farmer's experience variable; b) with the variable of farmer's experience and the stable soil properties selected at the variable selection stage; and c) only with the farmer's experience variable. The generated MZs were evaluated using the Variance Reduction (VR) index, Fuzziness Performance Index (FPI), Modified Partition Entropy (MPE), Smooth Index (SI), and Analysis of Variance (ANOVA). The study showed that the use of farmer's experience to set MZs could be an efficient and simple tool, that it could reduce costs for the processes of setting MZs, compared to the traditional method of using stable soil variables and relief. Key words: Precision agriculture. Clustering. Farmer feeling. Management units. ResumoNo gerenciamento da variabilidade espacial das lavouras a abordagem baseada em zonas de manejo (ZMs) divide o talhão em sub-regiões, que apresentam topografia e condições do solo espacialmente homogêneas, de tal forma que tais ZMs devem conduzir aos mesmos resultados em potencial de rendimento das culturas. Os produtores têm experiência de quais áreas de um talhão apresentam altas e baixas produtividades e fazer uso dessa base de conhecimento pode permitir a identificação de ZMs em um campo com base no histórico de produção. O objetivo desse trabalho foi avaliar a eficiência de utilização da experiência do produtor na definição de ZMs. A pesquisa foi realizada em três áreas agrícolas localizadas na região Oeste do estado do Paraná/ Brasil e as ZMs foram geradas considerando

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Section: Attributessupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Use of the farmer’s experience variable in the generation of management zones

Schenatto

Souza

Bazzi

et al. 2017

SCA

View full text Add to dashboard Cite

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“…Increases in grain yield under high plant populations could be achieved in a high fertility soil, with more nutrient availability, as suggested by Hörbe et al (2013), or with the increase of nitrogen fertilization (Goes et al, 2013). Additionally, expected grain yield could be an effective tool for adjusting corn seeding rates and fertilization.…”

Section: Resultsmentioning

confidence: 99%

Popping expansion and yield responses of popcorn cultivars under different row spacings and plant populations

Junior¹,

Cazetta

Barbosa

et al. 2013

Pesq. agropec. bras.

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-The objective of this work was to evaluate the agronomic traits and the popping expansion index of three Brazilian popcorn cultivars under different row spacings and plant populations. The trials were performed during two crop seasons, under field conditions. The experimental design used was a randomized complete block, in a split-split plot, with 27 treatments and four replicates. Treatments were represented in a triple factorial arrangement: three row spacings (0.40, 0.60, and 0.80 m), three plant populations (40,000, 60,000, and 80,000 plants per hectare), and three popcorn cultivars (IAC-TC 01, IAC 12, and Zelia). The increase in plant population causes a reduction in the number of grains per ear, lower prolificacy, and grain weight loss. Cultivar grain yield is affected by row spacing and popcorn plant population. Cultivar IAC 12 shows highest grain yield under row spacings of 0.40 and 0.60 m and plant population between 60,000 and 80,000 plants per hectare. The popping expansion index is not affected by row spacing or plant population.Index terms: Zea mays, plant density, popping expansion index, spatial arrangement. Capacidade de expansão e produtividade de cultivares de milho-pipoca sob diferentes espaçamentos entre as linhas e população de plantasResumo -O objetivo deste trabalho foi avaliar os caracteres agronômicos e o índice de capacidade de expansão de três cultivares de milho-pipoca brasileiras sob diferentes espaçamentos entre linhas e populações de plantas. Os ensaios foram realizados durante dois anos agrícolas, em condições de campo. Utilizou-se o delineamento experimental de blocos ao acaso, com parcelas subsubdivididas, 27 tratamentos e quatro repetições. Os tratamentos foram representados em arranjo fatorial triplo: três espaçamentos entre as linhas (0,40, 0,60 e 0,80 m), três populações de plantas (40.000, 60.000 e 80.000 plantas por hectare) e três cultivares de milho-pipoca (IAC-TC 01, IAC 12 e Zelia). O aumento da população de plantas ocasiona redução no número de grãos por espiga, menor prolificidade e perda de massa de grãos. O rendimento de grãos das cultivares é afetado pelos espaçamentos entre as linhas e a população de plantas de milho-pipoca. A cultivar IAC 12 apresenta maior produtividade de grãos sob os espaçamentos de 0,40 e 0,60 m e a população de plantas entre 60.000 e 80.000 plantas por hectare. O índice de capacidade de expansão não é afetado pelo espaçamento ou pela população de plantas.Termos para indexação: Zea mays, densidade de plantas, índice de capacidade de expansão, arranjo espacial.

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“…Os exemplos de HÖRBE et al (2013), na cultura do milho, e UHRY (2013), na cultura da soja, também não foram focados no desempenho da máquina, embora os dados disponibilizados pelo primeiro tenham incluído os intervalos de confiança para as médias das populações aferidas no campo.…”

Section: Acurácia Das Semeadoras-adubadoras à Tvunclassified

“…No estudo de HÖRBE et al (2013), os objetivos visaram a definir as possibilidades de otimização da produtividade, em função da densidade da semeadura para três zonas de manejo.…”

Section: Acurácia Das Semeadoras-adubadoras à Tvunclassified