Índice de área foliar em canola cultivada sob variações de espaçamento e de densidade de semeadura

Chavarria, Geraldo; Tomm, G. O.; Müller, Alexandre Luiz; Mendonça, Heloísa Ferro Constâncio; Mello, Naiana; Betto, Maico Serafini

doi:10.1590/s0103-84782011001200008

Cited by 21 publications

(27 citation statements)

References 10 publications

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“…The higher the values of R² and d, the lower the values of root-mean-square error (RMSE) and AIC, and the closer the BIAS index is to zero, the better the model is. The model developed by Chavarria et al (2011) in Passo Fundo, RS, was also tested, in order to verify whether this model was valid for both types of canola leaves.…”

Section: Methodsmentioning

confidence: 99%

“…The model proposed by Chavarria et al (2011) was not able to estimate canola leaf area accurately, because it initially underestimates and then overestimates the values, without following the 1:1 distribution ( Figure 1H). Its application resulted in the highest RMSE among the tested models (34.7, 72.27 and 18.35 cm²), which may have occurred because the authors did not force the equation to pass through the origin (null intercept), because the model estimates a leaf area of 20.148 cm² even when the independent variable (length) is equal to zero.…”

Section: G Hmentioning

confidence: 99%

“…According to Richter et al (2014), it is important to force the linear regression to pass through the origin (null intercept), because if there are no linear dimensions, there must not be leaf area. Additionally, Chavarria et al (2011) also used leaf length (L) as independent variable. However, the variable with highest correlation with canola leaf area when a general model is used is leaf width (W), which is corroborated by the results of Cargnelutti Filho et al (2015).…”

Section: G Hmentioning

confidence: 99%

“…For the canola crop, there are the models of Chavarria et al (2011) and Cargnelutti Filho et al (2015). However, applying only one model to determine canola leaf area may not be adequate, because the leaves are morphologically different along its development (Iriarte & Valetti, 2008) and one model for each cultivar becomes unviable, since new cultivars are frequently released.…”

Section: Introductionmentioning

confidence: 99%

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Non-destructive models for leaf area determination in canola

Tartaglia

Righi

Rocha

et al. 2016

Rev. bras. eng. agríc. ambient.

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A B S T R A C TThe leaf is a very important structure of the plants, since it allows gas exchanges and the transformation of light energy into chemical energy. This study aimed to generate and test mathematical models for leaf area estimation in canola based on leaf dimensions. Two experiments were conducted with canola in 2014, in which leaves were collected in different phenological stages with different sizes and shapes. Subsequently, leaf length, width and area were measured (with automatic meter) in 606 leaves, which included 371 ovate and 235 lanceolate leaves. The models were generated using length, width and length versus width as independent variables and leaf area as dependent variable. The models were validated using a group of leaves different from those used to generate the models. A total of 27 models were obtained and those with best statistics and higher simplicity were selected. The polynomial model LA = 0.88735 W 2 + 0.93503 W and the power model LA = 1.1282 W 1.9396 can be used for both types of leaves and have high accuracy in the estimation of canola leaf area.Modelos não destrutivos para determinação da área foliar em canola R E S U M O A folha é uma estrutura de grande importância para as plantas, visto que por meio dela ocorrem as trocas gasosas e a transformação da energia luminosa em energia química. O objetivo neste trabalho foi gerar e testar modelos matemáticos para a estimativa de área foliar de folhas de canola em função das dimensões foliares. Para isto foram realizados dois experimentos com canola no ano de 2014 e coletadas folhas em diferentes estágios fenológicos e de diferentes tamanhos e formas; posteriormente foram medidos o comprimento, a largura e a área foliar (com medidor automático) de 606 folhas dentre as quais 371 ovaladas e 235 lanceoladas. Os modelos foram gerados utilizando-se comprimento, largura e comprimento versus largura como variáveis independentes e a área foliar como variável dependente. Os modelos foram validados com um grupo distinto de folhas dos utilizados para a geração. Obteve-se o total de 27 modelos escolhendo-se aqueles que apresentaram as melhores estatísticas e maior simplicidade. Os modelos que podem ser utilizados para ambos os tipos de folhas e apresentam alta precisão de estimativa de área foliar em canola, são o modelo polinomial AF = 0,88735 L 2 + 0,93503 L e o modelo potencial AF = 1,1282 L 1,9396 . Key words:Brassica napus ovate leaves lanceolate leaves modeling Palavras-chave:Brassica napus folhas ovaladas folhas lanceoladas modelagem

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Section: Methodsmentioning

confidence: 99%

Section: G Hmentioning

confidence: 99%

Section: G Hmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Non-destructive models for leaf area determination in canola

Tartaglia

Righi

Rocha

et al. 2016

Rev. bras. eng. agríc. ambient.

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“…In this context, Chavarria et al (2011) point out that the efforts in research and development are incipient for rapeseed, and there is a lack of technical-scientific information on crop management, such as adequate inter-row spacing and sowing density.…”

Section: Introductionmentioning

confidence: 99%

Rapeseed population arrangement defined by adaptability and stability parameters

Krüger

Medeiros

Silva

et al. 2016

Rev. bras. eng. agríc. ambient.

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A B S T R A C TThe objective of this study was to identify the plant arrangement that allows greater grain yield with adaptability and stability of rapeseed hybrids. The experiments were conducted in randomized block design with four replicates and the 12 treatments consisted of combination of inter-row spacings (0.20, 0.40, and 0.60 m) and plant densities (20, 40, 60 and 80 plants m -2 ). The hybrids Hyola 432 (early cycle) and Hyola 61 (medium cycle) were cultivated in three growing seasons (2008, 2009 and 2010).

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Changes in Root Bacterial Communities Associated to Two Different Development Stages of Canola (Brassica napus L. var oleifera) Evaluated through Next-Generation Sequencing Technology

et al. 2012

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Crop production may benefit from plant growth-promoting bacteria. The knowledge on bacterial communities is indispensable in agricultural systems that intend to apply beneficial bacteria to improve plant health and production of crops such as canola. In this work, the diversity of root bacterial communities associated to two different developmental phases of canola (Brassica napus L.) plants was assessed through the application of new generation sequencing technology. Total bacterial DNA was extracted from root samples from two different growth states of canola (rosette and flowering). It could be shown how bacterial communities inside the roots changed with the growing stage of the canola plants. There were differences in the abundance of the genera, family, and even the phyla identified for each sample. While in both root samples Proteobacteria was the most common phylum, at the rosette stage, the most common bacteria belonged to the family Pseudomonadaceae and the genus Pseudomonas, and in the flowering stage, the Xanthomonadaceae family and the genus Xanthomonas dominated the community. This implies in a switch in the predominant bacteria in the different developmental stages of the plant, suggesting that the plant itself interferes with the associated microbial community.

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Índice de área foliar em canola cultivada sob variações de espaçamento e de densidade de semeadura

Cited by 21 publications

References 10 publications

Non-destructive models for leaf area determination in canola

Non-destructive models for leaf area determination in canola

Rapeseed population arrangement defined by adaptability and stability parameters

Changes in Root Bacterial Communities Associated to Two Different Development Stages of Canola (Brassica napus L. var oleifera) Evaluated through Next-Generation Sequencing Technology

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