Expolinear model on soybean growth in Argentina and Brazil

Confalone, Adriana; Bernardes, Marcos Silveira; Costa, Luiz Cláudio; Righi, Ciro Abbud; Neto, Durval Dourado; Martin, Thomas Newton; Manfron, Paulo Augusto; Pereira, Carlos Rodrigues

doi:10.1590/s0103-84782010000500002

Cited by 8 publications

(7 citation statements)

References 8 publications

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“…The most sensitive crop phase to water deficit was flowering/yield formation one, which is proved by the highest Ky values obtained for this phase. Water deficit during such crop phase is mainly responsible for soybean yield gaps, as also observed in other studies (Confalone et al , 2010; Dogan et al , 2007; Karam et al , 2005). It is explained by the highest total leaf area in this phase, resulting in 1.5 times more water consumption than the reference crop used for the calculation of evapotranspiration (ETo).…”

Section: Discussionsupporting

confidence: 77%

Drought Tolerance of Brazilian Soybean Cultivars Simulated by a Simple Agrometeorological Yield Model

Battisti

Sentelhas

2014

Ex. Agric.

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SUMMARYThe objective of this study was to calibrate and evaluate a simple crop yield model for 101 Brazilian soybean cultivars, and through the calibrated water deficit sensitivity index (Ky) to classify groups of cultivars in relation to drought tolerance. The cultivars’ actual yield was obtained from field experiments conducted by Pro-Seeds Foundation in 17 locations in southern Brazil from 2008 to 2011. Daily weather data were obtained from the government weather networks and rainfall was recorded at each experimental location. The crop yield model FAO–Agroecological zone was used to estimate potential yield (Yp), while the water deficit yield depletion model was used to estimate actual yield (Ya) and to determine Ky. Calibrated Ky values were used in a cluster analysis to determine groups of soybean cultivars with the same degree of drought tolerance. The crop yield model performed very well with lower values of mean absolute error (284 kg ha−1) and mean error (7 kg ha−1). The Ky values of 0.97, 0.90, 0.88 and 0.78 were obtained for the most sensitive soybean phenological phase to water deficit (flowering/yield formation), and were used to identify the groups of low, medium-low, medium-high and high drought tolerance respectively. In spite of Ky differences in cultivar groups, harvest index (CH) also varied, ranging from 0.31 to 0.35 for the group of high to low drought tolerance. The crop yield model proved to be an efficient tool for identifying drought tolerance of Brazilian soybean cultivars and for choosing the best cultivar for a given environment.

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Section: Discussionsupporting

confidence: 77%

Drought Tolerance of Brazilian Soybean Cultivars Simulated by a Simple Agrometeorological Yield Model

Battisti

Sentelhas

2014

Ex. Agric.

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“…Modelos quadráticos foram adotados por Schvambach et al (2002) para descrever a matéria seca de pepinos, equações polinomiais foram usadas por Schoffel e Volpe (2002) para descrever a fitomassa da soja em função de graus-dia, e até mesmo ajustes lineares para o caso da matéria seca da parte aérea do Sambacaitá em função do DAS (Santos Neto et al, 2007). Entretanto, ajustes deste tipo, baseados em simples polinômios, não oferecem possibilidade alguma de interpretação biológica, sendo necessário o uso de equações que descrevam curvas assintóticas (Pereira, 2002), uma vez que o crescimento da maioria das culturas segue um padrão exponencial na fase inicial, seguido de um padrão linear após o fechamento do dossel (Confalone et al, 2010).…”

Section: Resultsunclassified

“…Funções do tipo logística ou de Gompetz ou até mesmo modelos um pouco mais aprimorados como a função expo-linear têm sido comumente adotadas para descrever o padrão de crescimento de culturas anuais, por apresentarem uma descrição mais precisa do crescimento em função do tempo ou tempo térmico (Pereira, 2002;Moura et al, 2008;Confalone et al, 2010). A biomassa total da parte aérea descreveu um padrão sigmoidal em função do tempo térmico normalizado, e os dados foram ajustados a uma função logística (teste F, p < 0,01).…”

Section: Resultsunclassified

Modelos empíricos para o crescimento da soja no leste da Amazônia em função do tempo térmico

Souza

2014

RCA

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“…Different crop growth curves have been proposed in the literature. Exponential functions were suggested in some research (HSIAO et al 2007;CONFALONE et al, 2010;STEDUTO et al, 2012). In Mediterranean greenhouse crops, conversely, sigmoid curves have been applied to model the LAI as a function the cumulative thermal time (CTT) (MEDRANO et al, 2005;ORGAZ et al 2005;CARMASSI et al, 2007).…”

Section: This Researchmentioning

confidence: 99%

Irrigation water consumption modelling of a soilless cucumber crop under specific greenhouse conditions in a humid tropical climate

Salcedo

Reca²,

Pérez-Saiz³

et al. 2017

Cienc. Rural

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The irrigation water consumption of a soilless cucumber crop under greenhouse conditions in a humid tropical climate has been evaluated in this paper in order to improve the irrigation water and fertilizers management in these specific conditions. For this purpose, a field experiment was conducted. Two trials were carried out during the years 2011 and 2014 in an experimental farm located in Vinces (Ecuador). In each trial, the complete growing cycle of a cucumber crop grown under a greenhouse was evaluated. Crop development was monitored and a good fit to a sigmoidal Gompertz type growth function was reported. The daily water uptake of the crop was measured and related to the most relevant indoor climate variables. Two different combination methods, namely the Penman-Monteith equation and the Baille equation, were applied. However, the results obtained with these combination methods were not satisfactory due to the poor correlation between the climatic variables, especially the incoming radiation, and the crop's water uptake (WU). On contrary, a good correlation was reported between the crop's water uptake and the leaf area index (LAI), especially in the initial crop stages. However, when the crop is fully developed, the WU stabilizes and becomes independent from the LAI. A preliminary model to simulate the water uptake of the crop was adjusted using the data obtained in the first experiment and then validated with the data of the second experiment.

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Expolinear model on soybean growth in Argentina and Brazil

Cited by 8 publications

References 8 publications

Drought Tolerance of Brazilian Soybean Cultivars Simulated by a Simple Agrometeorological Yield Model

Drought Tolerance of Brazilian Soybean Cultivars Simulated by a Simple Agrometeorological Yield Model

Modelos empíricos para o crescimento da soja no leste da Amazônia em função do tempo térmico

Irrigation water consumption modelling of a soilless cucumber crop under specific greenhouse conditions in a humid tropical climate

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