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  • 1
    Online Resource
    Online Resource
    Sugarcane productivity simulation under different planting times by DSSAT/CANEGRO model in Alagoas, Brazil
    Faculty of Food and Agriculture, United Arab Emirates University ; 2018
    In:  Emirates Journal of Food and Agriculture ( 2018-03-31), p. 190-
    Details
    In: Emirates Journal of Food and Agriculture, Faculty of Food and Agriculture, United Arab Emirates University, ( 2018-03-31), p. 190-
    Abstract: In sugarcane crop, it is important to search for tools to assist in the agricultural management to increase the yield and minimize the costs of production. Dynamics growth models are tools that help management, supporting the analysis of making complex decisions, allowing reducing cost, time and human resources. Thus, the aim of this study was to determine the best time of planting for the sugarcane crop using the DSSAT/CANEGRO model for the region of Rio Largo, state of Alagoas, Northeastern Brazil. The crop, soil and meteorological data used in the simulations were obtained in field experiment carried out at sugarcane cropping in years 2003 and 2006. The sugarcane varieties used in the experiment was RB93509 in two crop cycles (plant crop and ratoon crop). Planting was held on October 1, 2003 and the 1st harvest (plant crop) took place on October 1, 2004 and the 2nd harvest (ratoon crop) took place on February 25, 2006. The model performance was quantified by different statistical tests (Error Model, Medium Error Quadratic Root and Determination Coefficient). The model satisfactorily simulated the ​​fresh (0.6 and 11.0%) and dry matter production (-19.2 and 18.1%), tillering (R2 = 0.69 and 0.80), plant height (0.0 and -19.1%) and leaf area index (R2 = 0.87 and 0.73). The best planting time for sugarcane crop was on October 30. However, in El Niño and La Niña years of strong intensity, the best planting time was on January 15 and September 30, respectively.
    Type of Medium: Online Resource
    ISSN: 2079-0538 , 2079-052X
    URL: Article
    DOI: 10.9755/ejfa.2018.v30.i3.1640
    Language: Unknown
    Publisher: Faculty of Food and Agriculture, United Arab Emirates University
    Publication Date: 2018
    detail.hit.zdb_id: 2548701-2
    SSG: 23
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  • 2
    Online Resource
    Online Resource
    Performance of the Aquacrop model for bean (Phaseolus vulgaris L.) under irrigation condition
    Southern Cross Publishing ; 2019
    In:  Australian Journal of Crop Science
    Details
    In: Australian Journal of Crop Science, Southern Cross Publishing
    Abstract: With the evident climatic threats and the limitation of agronomic information for the bean crop, the use of agricultural models is necessary to broaden and disseminate technical knowledge of crop forecasting. The aim of this work was to evaluate the FAO AquaCrop model for bean crop under different levels of irrigation water in agrometeorological conditions of Northeastern Brazil at megatheramal and humid climate. The research was conducted in the period from 11/17/2015 to 02/01/2016. The experimental design was randomized block with four replicates. Treatments were composed of six levels of irrigation on the basis of crop evapotranspiration (ETc) fractions (25, 50, 75, 100, 125 and 150% of ETc). The irrigation effect was evaluated from biomass, dry matter and grain yield data that were observed and simulated using Aquacrop model. One linear meter of plants was collected every 10 days for biometric and destructive analyses. In addition, the soil water content simulated from model was compared with measurements performed by time domain reflectometry. The AquaCrop model was calibrated for common bean during the dry season (October to March) for the region in the 2015/2016 harvest season using experimental data for 100% of ETc. The accuracy of the calibration and validation model was evaluated based on the root mean square error (RMSE), Willmott’s index of agreement (d), correlation coefficient (r) and percentage deviation (D). The model showed good performance between observed and simulated values for soil water content, dry biomass accumulation and grain yield in several water conditions and can assist decision making and water management in irrigated crops.
    Type of Medium: Online Resource
    ISSN: 1835-2693 , 1835-2707
    URL: Journal
    URL: Article
    DOI: 10.21475/ajcs
    DOI: 10.21475/ajcs.19.13.07.p1790
    Language: Unknown
    Publisher: Southern Cross Publishing
    Publication Date: 2019
    detail.hit.zdb_id: 2413553-7
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  • 3
    Online Resource
    Online Resource
    A modelling assessment of the maize crop growth, yield and soil water dynamics in the Northeast of Brazil
    Southern Cross Publishing ; 2020
    In:  Australian Journal of Crop Science , No. 14(6):2020 ( 2020-6-20), p. 897-904
    Details
    In: Australian Journal of Crop Science, Southern Cross Publishing, , No. 14(6):2020 ( 2020-6-20), p. 897-904
    Abstract: The present study aims to evaluate the APSIM-Maize model performance to use it as a decision-making tool to help improve production rates, reduce production costs and assess the potential impacts of climate change on crop yields in the Northeast of Brazil. The crop, soil and weather data used in the simulations were obtained from field experiments carried out in maize crops in 2008 and 2011 in two different edaphoclimatic regions in Alagoas State, Northeast Brazil. The approach we used explored the ability of APSIM to simulate growth variables and soil water dynamics of a maize variety (AL Bandeirante). During parametrization, we made some adjustments regarding the variety and soil organic matter to attain a better representation of the growth and soil water dynamics, respectively. The APSIM-Maize model predicted the leaf area index with a RMSE (Root Mean Square Error) ranging between 0.14 and 1.06 cm2 cm-2 and the biomass production with an RMSE between 2.30 and 3.34 Mg ha-1. The volumetric soil water content was satisfactorily predicted with RMSE ranging between 0.02 and 0.08 mm mm-1. Results showed that this model is a useful tool for decision-making, which can be potentially used as a support in climate risk management and policies, aiming to improve regional production, provided it has been previously validated with independent datasets.
    Type of Medium: Online Resource
    ISSN: 1835-2693 , 1835-2707
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.21475/ajcs.20.14.06
    DOI: 10.21475/ajcs
    DOI: 10.21475/ajcs.20.14.06.p1410
    Language: Unknown
    Publisher: Southern Cross Publishing
    Publication Date: 2020
    detail.hit.zdb_id: 2413553-7
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  • 4
    Online Resource
    Online Resource
    Estação chuvosa e de cultivo para a região de Rio Largo, Alagoas baseada em métodos diretos e sua relação com o El Niño - Oscilação Sul
    FapUNIFESP (SciELO) ; 2013
    In:  Revista Brasileira de Meteorologia Vol. 28, No. 2 ( 2013-06), p. 192-198
    Details
    In: Revista Brasileira de Meteorologia, FapUNIFESP (SciELO), Vol. 28, No. 2 ( 2013-06), p. 192-198
    Abstract: Rainfall is one of the main meteorological factors responsible for agricultural crops yield. Its irregularity observed more intensely in the Northeast causes the alternation of annual agricultural production. Thus, this study aimed to determine the characteristics of the wet and growing season based on daily rainfall data between 1973 and 2008 in Rio Largo, Alagoas. The beginning (potencial and success), ending and length of the cultivation and rainy season were determinate by direct methods using daily rainfall and reference evapotranspiration. Statistical analysis of cultivation and rainy season characteristics were done using the Instat Climatic software. The expected rainy season, at 80% probability, began on April 7th and finished on October 24th, with a duration of 221 days. The beginning of the rainy season was anticipated in La Niña years (ten days) and postponed in years of El Niño (nine days) and consequently, cause a decrease in the cultivation length season for El Niño years and increase in La Niña years.
    Type of Medium: Online Resource
    ISSN: 0102-7786
    URL: Article
    DOI: 10.1590/S0102-77862013000200008
    Language: Unknown
    Publisher: FapUNIFESP (SciELO)
    Publication Date: 2013
    detail.hit.zdb_id: 2401291-9
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  • 5
    Online Resource
    Online Resource
    Aplicação da Cadeia de Markov para Dias Secos e Chuvosos
    FapUNIFESP (SciELO) ; 2017
    In:  Revista Brasileira de Meteorologia Vol. 32, No. 2 ( 2017-06), p. 207-214
    Details
    In: Revista Brasileira de Meteorologia, FapUNIFESP (SciELO), Vol. 32, No. 2 ( 2017-06), p. 207-214
    Abstract: Abstract Rainfall is an important meteorological phenomenon in the tropical region, characterized by its spatial-temporal variability and associated extreme events. Thus, prior notification of the occurrence of one day being rainy or dry is extremely important for many human activities, especially for agriculture. The aim of this study was to analyze the occurrence of dry and rainy days in Rio Largo-Alagoas, Brazil, using the Markov chain. Daily rainfall data between 1973 and 2008 were used. It was considered six precipitation levels for dry and wet days and, it was applied to Markov chain to identify the probabilities of conditional occurrences of dry and rainy days. The study region had dry (September to March) and rainy (April to August) seasons well defined considered limits of precipitation values between 0 and 2 mm. Higher occurrences of dry and rainy days occurred from November to December (94%) and June to July (84%), respectively. The Markov chain concluded that the transition between dry and rainy days is low throughout the year.
    Type of Medium: Online Resource
    ISSN: 1982-4351 , 0102-7786
    URL: Article
    DOI: 10.1590/0102-77863220001
    Language: Portuguese
    Publisher: FapUNIFESP (SciELO)
    Publication Date: 2017
    detail.hit.zdb_id: 2401291-9
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  • 6
    Online Resource
    Online Resource
    Ocorrência de períodos secos na região de Rio Largo, Alagoas
    FapUNIFESP (SciELO) ; 2013
    In:  Revista Brasileira de Meteorologia Vol. 28, No. 2 ( 2013-06), p. 173-180
    Details
    In: Revista Brasileira de Meteorologia, FapUNIFESP (SciELO), Vol. 28, No. 2 ( 2013-06), p. 173-180
    Abstract: Water availability in a region is directly related to intensity and frequency of rain occurrence. Major occurrences of days with low amounts of precipitation can produce many losses, especially for agriculture. Thus, the objective of this study was to determine the probability of occurrence of dry periods in Rio Largo, Alagoas, Brazil, and to relate it to climate scale phenomena such as El Niño - Southern Oscillation (El Niño and La Niña). The dry periods were evaluated for three different time intervals with sequence of dry days ( 〉 5 days, 〉 7 days and 〉 10 days). The sequence of days was defined as dry based on different thresholds of precipitation ( 〈 0, 1, 2, 3, 4 and 5 mm). The end of each dry period was determined by the occurrence of a rainy day. Analyses were performed using the Instat Climatic application. The 5 days interval was the most frequent in the dry and rainy seasons. In the rainy season (April-August), this dry period had higher frequency of occurrence of 5-85%. While the occurrence of dry periods of 7 days (0 to 45%) and 10 days (0 to 5%) was lower. It was noted the strong influence of ENSO events (El Niño Southern Oscillation) in the occurrence of dry periods. In El Niño years, the occurrences were enhanced (10-60%), and reduced in years of La Niña events (0-45%).
    Type of Medium: Online Resource
    ISSN: 0102-7786
    URL: Article
    DOI: 10.1590/S0102-77862013000200006
    Language: Unknown
    Publisher: FapUNIFESP (SciELO)
    Publication Date: 2013
    detail.hit.zdb_id: 2401291-9
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