Simulation of wheat biomass yield by thermal time, rainfall and nitrogen

Trautmann, Ana P. B.; Silva, José Antônio Gonzalez da; Binelo, Manuel Osório; Scremin, Osmar Bruneslau; Mamann, Ângela Teresinha Woschinski De; Bandeira, Luiz Michel

doi:10.1590/1807-1929/agriambi.v21n11p763-768

Cited by 3 publications

(2 citation statements)

References 18 publications

(17 reference statements)

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“…This outcome may be attributed to the colder temperature in PG rainfed (Fig. 5a), which reduces the plant metabolic rate and increases the length of the grainfilling stage, resulting in a higher TKW (Gaju et al, 2009;Trautmann et al, 2017;Savill et al, 2018). Mamrutha et al (2020) found that lower night temperature during the wheat grain-filling stage favors the increase of TKW, which can be attributed to the lower plant respiration rate that reduces the carbon losses, allowing higher starch accumulation in the developing grains (Bahuguna et al, 2017).…”

Section: Technological Quality Of Grains and Flour As Influenced By N...mentioning

confidence: 97%

Technological quality of wheat grains and flour as affected by nitrogen fertilization and weather condition

2023

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The quality of grains and flour can be influenced by genetics, crop management, and environment. The objective of this study was to evaluate the technological quality of wheat grains and flour influenced by the interaction among genotype, nitrogen (N) fertilization and weather conditions in different regions of wheat crop adaptation in southern Brazil, aiming to support farmers and the bakery industry sector in their decision-making processes. The experiment was carried out in three environments (Londrina in rainfed and irrigated conditions; and Ponta Grossa in rainfed) in a randomized block design with a 10 × 2 factorial scheme. Ten wheat genotypes (BRS Sanhaço, BRS Graúna, BRS Gaivota, BRS Gralha-Azul, TBIO Sinuelo, TBIO Mestre, TBIO Sossego, TBIO Sintonia, TBIO Toruk, and Quartzo) and two N rates (40 and 120 kg ha-1) were assessed. The following technological quality analyses were performed in grains or flour: hectoliter weight, thousand-kernel weight, falling number, grain protein concentration, experimental flour extraction (i.e. flour yield), wet gluten concentration, and alveography. Increasing N rates from 40 to 120 kg ha-1 enhanced the concentrations of grain protein and wet gluten. However, it did not influence dough gluten strength and the commercial classification of the flour. Nitrogen fertilization also influenced the flour yield, dough tenacity and elasticity index, depending on the genotype × environment interaction. Environments with higher temperatures favored the flour yield and wet gluten concentration, while lower temperatures increased thousand-kernel weight and falling number. Water deficit increased the dough extensibility and grain protein concentration, whereas higher water availability favored the falling number, dough tenacity, and tenacity/extensibility ratio. Therefore, these outcomes are important drivers for farmers when choosing specific wheat genotypes for the environmental conditions of their farms, when they intend to meet the industrial requirements of mills and food companies that use wheat flour.

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Section: Technological Quality Of Grains and Flour As Influenced By N...mentioning

confidence: 97%

Technological quality of wheat grains and flour as affected by nitrogen fertilization and weather condition

2023

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“…High temperature rapidly reduces soil moisture, implying an increased ratio of plant respiration rate and decreased photosynthesis efficiency. In addition, it intensifies N-fertilizer losses by volatilization (Scremin et al, 2017;Trautmann et al, 2017). It is noteworthy that nitrogen is the main nutrient absorbed by plants, by acting on different metabolic routes linked to the development of productivity components.…”

Section: Introductionmentioning

confidence: 99%

Diffuse system simulating wheat productivity by nitrogen and temperature in the use of biopolymers

Mamann

Silva

Scremin

et al. 2020

Rev. bras. eng. agríc. ambient.

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Fuzzy logic can simulate wheat yield by nitrogen and temperature nonlinearity, validating the use of hydrogel biopolymer. The objective of this study is to adapt the fuzzy logic model to the simulation of nitrogen biomass and wheat grain yield and non-linearity of the maximum air temperature, under the conditions of use of the hydrogel biopolymer, in high and low N-residual release systems. The study was conducted in 2014 and 2015, in Augusto Pestana, RS, Brazil (28 ° 26 ‘30’ latitude S and 54 ° 0 ‘58’ longitude W). The experimental design was a randomized block design with four replications in 5 x 5 factorial, for hydrogel doses (0, 30, 60, 90 and 120 kg ha-1), added in the furrow next to the seed, and N-fertilizer doses. (0, 30, 60, 90 and 120 kg ha-1), applied at the phenological stage V3 (third expanded leaf) as top-dressing, respectively. The pertinence functions together with the quantitative and linguistic values for the input and output variables are suitable for the use of fuzzy logic in the wheat yield simulation. The fuzzy model made it possible to estimate the values of biomass and wheat grain yield by nitrogen and non-linearity of the maximum air temperature under the conditions of use of the hydrogel biopolymer in high and low N-residual release systems.

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Liquid Source Nitrogen as a More Sustainable Technology for oat Fertilization with Computational Simulation Resource

Henrichsen¹,

Silva²,

Basso³

et al. 2023

RGSA

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Purpose: The objective of the study is to validate the technology of liquid nitrogen source by spraying of foliar absorption in comparison to the standard source urea of root absorption in the oat crop. Adapt the fuzzy logic model and training an artificial neural network to simulate oat productivity, under conditions of nitrogen use with the combined action of rainfall and thermal sum accumulated during the crop cycle. Method/design/approach: The study was conducted in Augusto Pestana, RS, Brazil, in a randomized block design with four replications in a 2x4 factorial, for 2 nitrogen sources (liquid and solid) with 4 doses (0, 30, 60 and 120 kg ha-1), respectively. Solid (urea) and liquid (N-Top®) nitrogen sources were applied at the phenological stage of expanded oat fourth leaf. Results and conclusion: The liquid source nitrogen technology presents results similar to the use of the standard urea source, confirming the possibility of using the nutrient by foliar absorption. The simulation of grain yield by fuzzy logic with the input variables nitrogen dose, thermal sum and precipitation is not adequate for the formulated rule base. The input variables used in the artificial neural network proved to be appropriate in the simulation of oat productivity, with consistent simulation results. Originality/value: unprecedented research that seeks to validate the technology of foliar nitrogen absorption in real conditions of oat cultivation in guaranteeing productivity and less environmental damage. And the use of artificial intelligence as a resource to simulate grain productivity involving biological and environmental indicators in the main oat producing region of Brazil.

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Simulation of wheat biomass yield by thermal time, rainfall and nitrogen

Cited by 3 publications

References 18 publications

Technological quality of wheat grains and flour as affected by nitrogen fertilization and weather condition

Technological quality of wheat grains and flour as affected by nitrogen fertilization and weather condition

Diffuse system simulating wheat productivity by nitrogen and temperature in the use of biopolymers

Liquid Source Nitrogen as a More Sustainable Technology for oat Fertilization with Computational Simulation Resource

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