Alexandre Bryan Heinemann
@embrapa.br
Embrapa Arroz e Feijão
Scopus Publications
- Genotype × environment interaction in a national network of common bean trials across the three cropping seasons in Brazil
Demila Duarte da Mata Cruz, Alexandre Bryan Heinemann, Paula Pereira Torga, Eduardo Almeida Alves, Rafael Tassinari Resende
Euphytica, 2026
The cultivation of common bean in Brazil typically occurs in three annual cropping seasons across the country’s major geographic regions, exposing genotypes to contrasting environmental conditions across time (seasons and years) and space (locations). With this aim, this study investigated the influence of the G × E interaction on common bean yield across different sites, seasons, and years. It evaluated the contributions of fixed and random effects. Data from 424 multi-environment trials (METs) conducted by Embrapa between 2011 and 2018 were used, involving 87 genotypes across three cropping seasons (Wet, Dry, and Winter) distributed over 71 locations. Genetic and environmental effects were estimated through linear mixed models fitted with the REML/BLUP method. In addition, multivariate analyses, including the GGE Biplot, were used to decompose and visualize G × E effects, while missing data were imputed via Principal Component Analysis (PCA). Environmental stratification and the identification of mega-environments enabled grouping sites with similar characteristics based on the presence or absence of G × E interactions. The stability and adaptability analysis of the cultivars, based on a ranking that considered the particularities of the PRVG, MHPRVG, Lin and Binns, Wricke’s Wi, and Finlay–Wilkinson indices, revealed distinct patterns of behavior across the three seasons. - A Bayesian Spatiotemporal Functional Model for Data With Block Structure and Repeated Measures
David H. da Matta, Mariana R. Motta, Nancy L. Garcia, Alexandre B. Heinemann
Environmetrics, 2026
The analysis of spatiotemporal data is fundamental across multiple scientific disciplines, particularly in assessing the behavior of climate effects over space and time. A key challenge in this area is effectively capturing recurring climate phenomena, such as El Niño/La Niña (ENSO) phases, which induce prolonged periods of similar weather patterns across affected regions. To address this, our study introduces a novel spatiotemporal regression model that explicitly incorporates block structures representing these recurring climate effects. These blocks accommodate ENSO phases and manage the within‐block correlations and shared characteristics, enhancing the model's ability to capture the influence of such phenomena on precipitation variability. The model further integrates functional predictors of both fixed and random nature, along with spatial covariance modeled via the Matérn class, to accommodate complex spatial, temporal, and block‐related structures. Motivated by a monthly precipitation dataset from meteorological stations in Goiás State, Brazil, spanning 21 years (1980–2001), our approach assigns spatial effects to individual stations, temporal effects to months, blocks to ENSO phases, and repeated measures to years within those blocks. The results from simulation studies demonstrate the model's robustness and effectiveness, providing deeper insight into how recurring climate effects like ENSO impact rainfall patterns. This framework represents a significant methodological advancement in spatiotemporal modeling, highlighting the importance of explicitly modeling and estimating the effects of recurrent climate phenomena through block structures. - Optimizing Sowing Calendars for Climate-Resilient Common Bean Production in Central-Southern Brazil: A Functional Data Analysis Approach
Ludmilla Ferreira Justino, Alexandre Bryan Heinemann, David Henriques da Matta, Luís Fernando Stone, Felipe Waks Andrade, Silvando Carlos da Silva
Resources, 2026
Addressing the intertwined challenges of food security and climate vulnerability requires robust and regionally tailored strategies for staple crops such as common beans. Although adjusting sowing dates is a key adaptive practice, spatio-temporal climate variability complicates the identification of optimal planting windows. This study integrates crop modeling with Functional Data Analysis (FDA) to quantify sowing-date-dependent yield losses for rainfed common beans across Central-Southern Brazil. The CSM-CROPGRO-Dry Bean model, driven by long-term climate data (1980–2016), soil properties, and management practices, was used to simulate yields for the BRS Estilo cultivar. FDA was subsequently applied to cluster yield-loss curves across municipalities and growing seasons, generating representative regional risk profiles. The results reveal clear spatial patterns. During the wet season, earlier sowing minimizes losses in Goiás, Minas Gerais, and western Paraná, whereas later sowing is beneficial in São Paulo, Santa Catarina, and eastern Paraná. In the dry season, earlier sowing consistently reduces losses across most regions. These patterns are primarily driven by water deficits and suboptimal temperatures during critical phenological phases. The resulting spatio-temporal sowing calendar provides an evidence-based decision-support tool to help farmers mitigate climatic risks. Moreover, it offers a scientific foundation for policymakers to refine sustainable management practices, improve crop insurance design, and enhance agricultural resilience and productivity under increasing climate uncertainty. - Soybean yield potencial in petric plinthosols: climate and economic interactions
Bragantia, 2026 - COSMIC-SWAMP: IoT Processing of Cosmic-Ray Soil Moisture Sensors
Patrick Stowell, Carlos Kamienski, Alexandre Heideker, Dener Silva, João Kleinschmidt, Ronaldo Prati, Paula Chadwick, Daniel Power, Rafael Rosolem, Markus Köhli, Humberto Rocha, Alexandre Heinemann, Beata Madari, Mellissa Soler, André Torre-Neto
IEEE Access, 2026
Cosmic-ray neutron sensing (CRNS) has emerged as a promising technique for non-invasive, field-scale soil moisture monitoring, offering advantages over conventional point-based sensors. However, the practical use of CRNS data in operational smart irrigation systems remains challenging, particularly due to the lack of IoT platforms and frameworks capable of automatically ingesting, calibrating, fusing, and analyzing CRNS measurements in real deployment settings. This paper addresses this gap by presenting COSMIC-SWAMP, an IoT platform and analytics framework designed to operationalize CRNS-based soil moisture data within smart irrigation environments. The proposed framework integrates heterogeneous sensing technologies and communication infrastructures, enabling automated data ingestion, environmental correction, calibration, spatial and temporal data fusion, and forecasting-based analytics at the level of irrigation management zones. A real-world deployment combining LoRaWAN-connected prototype CRNS sensors and a co-located commercial reference system is used as a proof of concept to validate the framework’s feasibility and flexibility under operational conditions. The evaluation demonstrates that COSMIC-SWAMP can harmonize heterogeneous soil moisture data streams, generate consistent volumetric water content estimates, and support automated analytics workflows for irrigation decision support. While this study focuses on system and framework-level validation rather than exhaustive metrological assessment of sensing technologies, the results highlight the potential of COSMIC-SWAMP to enable scalable and sustainable integration of CRNS data into IoT-based smart irrigation systems. Limitations and directions for future measurement campaigns and extended validation are discussed. - Vegetation Indices as Rapid, Non-Destructive Tool to Assess Nitrogen Status in Irrigated Rice
Marcos Paulo dos Santos, Nívea Patrícia Ribeiro Reges, Alberto Baêta dos Santos, Luís Fernando Stone, Alexandre Bryan Heinemann
Modern Agriculture, 2025
The use of optical radiation sensors is a promising strategy for nitrogen management as it reduces the costs of chemical analyses and allows quick decision‐making in the supplementary application of N to irrigated rice. By combining three spectral reflectance bands (red, far‐red, and near‐infrared), 22 vegetation indices (VIs) were computed and assessed for their effectiveness in estimating the nitrogen status of rice crops. The results indicated that the selected VIs considerably underestimated dry leaf biomass (DLB) and did not efficiently estimate N status parameters, such as leaf N concentration (LNC) and leaf N uptake, at the vegetative stage. The large variations in these N status parameters can be explained by the VI in subsequent stages. The VI selected in the parametrisation process was promising for explaining variation in DLB and leaf area index at the reproductive and grain‐filling stages. However, the VI showed low performance in estimating LNC at the reproductive stage. The modified red‐edge soil‐adjusted VI and normalised difference red‐edge index showed high performance in estimating the N nutrition index in the growth stage and across the whole crop cycle. These results show the importance of using active sensors for effective crop N status estimation. - Irrigation strategies for upland rice cultivars in Brazil: Physiological responses and agronomic performance
Carlos Alberto Quiloango-Chimarro, Rubens Duarte Coelho, Alice da Silva Gundim, Jéfferson de Oliveira Costa, Tainá Ferreira da Rocha, Alexandre Bryan Heinemann
Agricultural Water Management, 2025
Irrigation strategies are essential for enhancing water productivity, thereby contributing to the sustainable water management in upland rice ( Oryza sativa L.). This study aimed to quantify the effects of various irrigation strategies on the physiology, yield, and irrigation water productivity of three upland rice cultivars. Two shelter experiments (A and B) were conducted using two factors: irrigation managements and cultivars. In Experiment A, three irrigation levels were applied: 100 % (Control), 70 % and 40 % of the irrigation applied in the control. In Experiment B, irrigation was triggered at soil water potential thresholds of −20 and −40 kPa. The cultivars used in both experiments were BRS A501 CL, BRS Esmeralda, and BRS A502. In Experiment A, the Control treatment (100 %) demanded ∼786 mm of water, which yielded 7.9 Mg ha −1 , corresponding to an irrigation water productivity of 0.88 kg m −3 . Irrigation levels of 70 % (579 mm) and 40 % (371 mm) caused yield reductions of 51–96 % and irrigation water productivity declines of 32–92 %. In Experiment B, the treatment of −20 kPa (683 mm) yielded 6.8 Mg ha −1 and 1.0 kg m −3 of irrigation water productivity. The irrigation threshold of −40 kPa (∼590 mm applied) resulted in an average grain yield of 5.3 Mg ha −1 and irrigation water productivity of 0.89 kg m −3 . Overall, although drought-tolerant cultivars were used, water-saving treatments in Experiment A (70 and 40 %) were not suitable for upland rice. In contrast, the −40 kPa irrigation threshold in Experiment B reduced water use while maintaining irrigation water productivity, representing an effective strategy for water-limited environments. Future work should explore irrigation strategies based on Experiment B, targeting specific growth stages. • Irrigation levels and irrigation at different soil water potential thresholds were tested. • Cultivars BRS Esmeralda and BRS A502 showed contrasting gas exchange performance at anthesis among experiments. • Irrigation levels of 70 % and 40 % reduced both grain yield and irrigation water productivity. • Irrigation at −20 and −40 kPa thresholds maintained comparable irrigation water productivity. • Grain yield under irrigation at –40 kPa was 22 % lower than under –20 kPa. - Rice-based cropping systems in Brazil: Irrigated and rainfed
Giovana Ghisleni Ribas, Alexandre Bryan Heinemann, Luís Fernando Stone, Adriano Pereira de Castro, Nereu Augusto Streck, Alberto Baêta dos Santos, Michel Rocha da Silva, Silvio Steinmetz, Camille Flores Soares, Alencar Junior Zanon
Crop and Environment, 2025
Brazil, a major global rice producer outside Asia, has two key rice-growing regions: subtropical lowlands, where irrigated rice accounts for 78% of national production (1.2 Mha), and tropical uplands, covering 0.31 Mha of rainfed rice. This review provides a comprehensive analysis of rice-based cropping systems in Brazil, discussing agronomic management, sustainability challenges, and potential improvements. The integration of rice, soybean, and pasture systems has enhanced land-use efficiency, soil health, and productivity. Irrigation practices, soil fertility management, and pest control strategies play a crucial role in maximizing yield. Additionally, climate-smart agriculture and no-till adoption are emerging as key strategies for mitigating environmental impacts and improving resilience. Despite advancements, challenges such as climate variability, weed resistance, and water-use efficiency remain critical. This review highlights the importance of continued research and innovation in sustainable rice-based systems. - Envirotyping-informed mixed models to study the climatic drivers and yield seasonal variation for common beans in Brazil
Alexandre Bryan Heinemann, David Henriques da Matta, Luís Fernando Stone, Germano Costa-Neto, Rafael T. Resende, Paulo Augusto de O. Gonçalves, Ludmilla Ferreira Justino
European Journal of Agronomy, 2025 - Spatio-temporal dynamics of water stress for common bean production in Goiás, Brazil
Ludmilla Ferreira Justino, Alexandre Bryan Heinemann, David Henriques da Matta, Luís Fernando Stone, Paulo Augusto de Oliveira Gonçalves, Silvando Carlos da Silva
Theoretical and Applied Climatology, 2025 - Characterization of common bean production regions in Brazil using machine learning techniques
Ludmilla Ferreira Justino, Alexandre Bryan Heinemann, David Henriques da Matta, Luís Fernando Stone, Paulo Augusto de Oliveira Gonçalves, Silvando Carlos da Silva
Agricultural Systems, 2025 - Defining the target population of environments (TPE) for enviromics studies using R-based GIS tools
Crop Breeding and Applied Biotechnology, 2025 - Harnessing crop models and machine learning for a spatial-temporal characterization of irrigated rice breeding environments in Brazil
Alexandre Bryan Heinemann, Germano Costa-Neto, David Henriques da Matta, Igor Kuivjogi Fernandes, Luís Fernando Stone
Field Crops Research, 2024 - Environmental clusters defining breeding zones for tropical irrigated rice in Brazil
Germano Costa‐Neto, David Henriques da Matta, Igor Kuivjogi Fernandes, Luís Fernando Stone, Alexandre Bryan Heinemann
Agronomy Journal, 2024 - GIS-FA: an approach to integrating thematic maps, factor-analytic, and envirotyping for cultivar targeting
Maurício S. Araújo, Saulo F. S. Chaves, Luiz A. S. Dias, Filipe M. Ferreira, Guilherme R. Pereira, André R. G. Bezerra, Rodrigo S. Alves, Alexandre B. Heinemann, Flávio Breseghello, Pedro C. S. Carneiro, Matheus D. Krause, Germano Costa-Neto, Kaio O. G. Dias
Theoretical and Applied Genetics, 2024 - Phenology, gas exchange, biomass accumulation, and irrigated rice yield under alternative irrigation managements
Marcos Paulo dos Santos, Alexandre Bryan Heinemann, Luís Fernando Stone, Mellissa Ananias Soler da Silva, Anna Cristina Lanna, Alberto Baêta dos Santos
Agronomy Journal, 2024 - Strategies for fungicide application based on the yield response of common bean genotypes under El Niño-Southern Oscillation (ENSO)
Alexandre Bryan Heinemann, Patrícia Valle Pinheiro, David Henriques da Matta, Luís Fernando Stone, Pedro Araújo Pietrafesa, William Rafael Ribeiro, Rodrigo Yoiti Tsukahara, Hélio Antônio Wood Joris
European Journal of Agronomy, 2024 - Climate drivers affecting upland rice yield in the central region of Brazil
Alexandre Bryan Heinemann, Luís Fernando Stone, Guilherme Custódio Cândido Silva, David Henriques da Matta, Ludmilla Ferreira Justino, Silvando Carlos da Silva
Pesquisa Agropecuaria Tropical, 2024 - Flowering prediction for flood-irrigated rice in the Midwest and North regions of Brazil
Ludmilla Ferreira Justino, Gutemberg Resende Honorio Filho, David Henriques da Matta, L. F. Stone, Alexandre Bryan Heinemann
Revista Ceres, 2024 - Phenological Restriction of the Oryza (v3) Model
Gutemberg Resende Honorio Filho, Alexandre Bryan Heinemann, David Henriques da Matta, Luís Fernando Stone, Santiago Vianna Cuadra, Silvio Steinmetz
Revista Brasileira De Meteorologia, 2024 - Calibration and evaluation of new irrigated rice cultivars in the SimulArroz model
Anderson H. Poersch, Nereu A. Streck, Alexandre B. Heinemann, Silvio Steinmetz, Alencar J. Zanon, Michel R. da Silva, Ioran G. Rossato
Revista Brasileira De Engenharia Agricola E Ambiental, 2024 - WATER STRESS IN MODERN UPLAND RICE CULTIVARS: A MULTIVARIATE STUDY BETWEEN PHYSIOLOGICAL TRAITS AND YIELD
Carlos Quiloango-Chimarro, Rubens Duarte Coelho, Jéfferson Costa, Alice da Silva Gundim, Alexandre Bryan Heinemann
Irriga, 2023 - Analysis of Goiás State rainfall and temperature similarity patterns during the El Niño-Southern Oscillation phenomenon phases across the years
David Henriques da Matta, Caio Augusto dos Santos Coelho, Leydson Lara dos Santos, Luís Fernando Stone, Alexandre Bryan Heinemann
Theoretical and Applied Climatology, 2023 - Protecting the Amazon forest and reducing global warming via agricultural intensification
Fabio R. Marin, Alencar J. Zanon, Juan P. Monzon, José F. Andrade, Evandro H. F. M. Silva, Gean L. Richter, Luis A. S. Antolin, Bruna S. M. R. Ribeiro, Giovana G. Ribas, Rafael Battisti, Alexandre B. Heinemann, Patricio Grassini
Nature Sustainability, 2022 - Enviromic prediction is useful to define the limits of climate adaptation: A case study of common bean in Brazil
Alexandre Bryan Heinemann, Germano Costa-Neto, Roberto Fritsche-Neto, David Henriques da Matta, Igor Kuivjogi Fernandes
Field Crops Research, 2022 - Rice Management Decisions Using Process-Based Models With Climate-Smart Indicators
Laura N. Arenas-Calle, Alexandre B. Heinemann, Mellissa A. Soler da Silva, Alberto Baeta dos Santos, Julian Ramirez-Villegas, Stephen Whitfield, Andrew J. Challinor
Frontiers in Sustainable Food Systems, 2022 - Editorial: Enviromics in Plant Breeding
Rafael Tassinari Resende, Karine Chenu, Soren K. Rasmussen, Alexandre Bryan Heinemann, Roberto Fritsche-Neto
Frontiers in Plant Science, 2022 - Physiology, yield, and water use efficiency of drip-irrigated upland rice cultivars subjected to water stress at and after flowering
Carlos Alberto Quiloango-Chimarro, Rubens Duarte Coelho, Alexandre Bryan Heinemann, Rafael Gómez Arrieta, Alice da Silva Gundim, Ana Carolina Ferreira França
Experimental Agriculture, 2022 - In silico assessment of sowing dates and nitrogen management in common bean crops
Ludmilla Ferreira Justino, Rafael Battisti, Luis Fernando Stone, Alexandre Bryan Heinemann
European Journal of Agronomy, 2022 - The impact of gridded weather database on soil water availability in rice crop modeling
Caio Teodoro Menezes, Derblai Casaroli, Alexandre Bryan Heinemann, Vinicius Cintra Moschetti, Rafael Battisti
Theoretical and Applied Climatology, 2022 - Sustainable intensification for a larger global rice bowl
Shen Yuan, Bruce A. Linquist, Lloyd T. Wilson, Kenneth G. Cassman, Alexander M. Stuart, Valerien Pede, Berta Miro, Kazuki Saito, Nurwulan Agustiani, Vina Eka Aristya, Leonardus Y. Krisnadi, Alencar Junior Zanon, Alexandre Bryan Heinemann, Gonzalo Carracelas, Nataraja Subash, Pothula S. Brahmanand, Tao Li, Shaobing Peng, Patricio Grassini
Nature Communications, 2021 - Nitrogen determination in irrigated rice using spectral reflectance
Marcos Paulo Santos, Alexandre Bryan Heinemann, Luís Fernando Stone, David Henriques Matta, João Rodrigo Castro, Alberto Baêta Santos
Agronomy Journal, 2021 - Impact assessment of common bean availability in Brazil under climate change scenarios
Luís A.S. Antolin, Alexandre B. Heinemann, Fábio R. Marin
Agricultural Systems, 2021 - Assessing yield and economic impact of introducing soybean to the lowland rice system in southern Brazil
Giovana Ghisleni Ribas, Alencar Junior Zanon, Nereu Augusto Streck, Isabela Bulegon Pilecco, Pablo Mazzuco de Souza, Alexandre Bryan Heinemann, Patricio Grassini
Agricultural Systems, 2021 - The impact of El Niño Southern Oscillation on cropping season rainfall variability across Central Brazil
Alexandre Bryan Heinemann, Julian Ramirez‐Villegas, Luís Fernando Stone, Ana Paula Garcia Abreu Silva, David Henriques da Matta, Mario Ernesto Piscoya Diaz
International Journal of Climatology, 2021 - A novel GIS-based tool to reveal spatial trends in reaction norm: upland rice case study
Germano Martins F. Costa-Neto, Odilon P. Morais Júnior, Alexandre Bryan Heinemann, Adriano Pereira de Castro, João Batista Duarte
Euphytica, 2020 - CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate
Julian Ramirez‐Villegas, Anabel Molero Milan, Nickolai Alexandrov, Senthold Asseng, Andrew J. Challinor, Jose Crossa, Fred Eeuwijk, Michel Edmond Ghanem, Cecile Grenier, Alexandre B. Heinemann, Jiankang Wang, Philomin Juliana, Zakaria Kehel, Jana Kholova, Jawoo Koo, Diego Pequeno, Roberto Quiroz, Maria C. Rebolledo, Sivakumar Sukumaran, Vincent Vadez, Jeffrey W. White, Matthew Reynolds
Crop Science, 2020 - Assessment of economic returns by using a central pivot system to irrigate common beans during the rainfed season in Central Brazil
Ludmilla Ferreira Justino, José Alves Júnior, Rafael Battisti, Alexandre Bryan Heinemann, Caio Vinicius Leite, Adão Wagner Pêgo Evangelista, Derblai Casaroli
Agricultural Water Management, 2019 - Upland rice breeding led to increased drought sensitivity in Brazil
Alexandre B. Heinemann, Julian Ramirez-Villegas, Maria Camila Rebolledo, Germano Martins F. Costa Neto, Adriano Pereira Castro
Field Crops Research, 2019 - Estimation of global solar radiation based in temperature observations for the Goiás state
Diego Simões Fernandes, Alexandre Bryan Heinemann, André de Oliveira Amorim, Rosidalva Lopes Feitosa da Paz
Revista Brasileira De Meteorologia, 2018 - Breeding implications of drought stress under future climate for upland rice in Brazil
Julian Ramirez-Villegas, Alexandre B. Heinemann, Adriano Pereira de Castro, Flávio Breseghello, Carlos Navarro-Racines, Tao Li, Maria C. Rebolledo, Andrew J. Challinor
Global Change Biology, 2018 - Parametrization of models and use of estimated global solar radiation data in the irrigated rice yield simulation
João Rodrigo de Castro, Santiago Vianna Cuadra, Luciana Barros Pinto, João Marcelo Hoffmann de Souza, Marcos Paulo dos Santos, Alexandre Bryan Heinemann
Revista Brasileira De Meteorologia, 2018 - Climate change determined drought stress profiles in rainfed common bean production systems in Brazil
Alexandre Bryan Heinemann, Julian Ramirez-Villegas, Luís Fernando Stone, Agostinho Dirceu Didonet
Agricultural and Forest Meteorology, 2017 - UPLAND RICE CULTIVAR RESPONSES to ROW SPACING and WATER STRESS ACROSS MULTIPLE ENVIRONMENTS
ALEXANDRE BRYAN HEINEMANN, JULIAN RAMIREZ-VILLEGAS, ADRIANO STEPHAN NASCENTE, WALMES MARQUES ZEVIANI, LUÍS FERNANDO STONE, PAULO CESAR SENTELHAS
Experimental Agriculture, 2017 - Yield and morphophysiological indices of irrigated rice genotypes in contrasting ecosystems
Marcos Paulo dos Santos, Alencar Zanon Junior, Santiago Vianna Cuadra, Silvio Steinmetz, João Rodrigo de Castro, Alexandre Bryan Heinemann
Pesquisa Agropecuaria Tropical, 2017 - Physiological indices of irrigated rice affected by flooding and nitrogen fertilization
Alberto Baêta dos Santos, Luís Fernando Stone, Alexandre Bryan Heinemann, Talita Pereira Baêta Santos
Revista Ceres, 2017 - Early sowing can improve irrigation water use efficiency and yield of common bean
Gisele Carneiro da Silva Teixeira, Luís Fernando Stone, Alberto Baêta dos Santos, Silvando Carlos da Silva, Alexandre Bryan Heinemann
Pesquisa Agropecuaria Tropical, 2017 - Drought impact on rainfed common bean production areas in Brazil
Alexandre B. Heinemann, Julian Ramirez-Villegas, Thiago Livio P.O. Souza, Agostinho Dirceu Didonet, Jose Geraldo di Stefano, Kenneth J. Boote, Andy Jarvis
Agricultural and Forest Meteorology, 2016 - Properties of a clay soil from 1.5 to 3.5 years after biochar application and the impact on rice yield
M.T.M. Carvalho, B.E. Madari, L. Bastiaans, P.A.J. van Oort, W.G.O. Leal, A.B. Heinemann, M.A.S. da Silva, A.H.N. Maia, D. Parsons, H. Meinke
Geoderma, 2016 - Development of super early genotypes for the dry bean (Phaseolus vulgaris) as affected by nitrogen management
Adriano Stephan Nascente, , Alexandre Bryan Heinemann, Luciana Christina Alves, Paulo Holanda Rosa, Luis Fernando Vieira Naves, Anne Carullyne Francino Garcia, , , , , and
Australian Journal of Crop Science, 2016 - Nitrogen availability, water-filled pore space, and N2O-N fluxes after biochar application and nitrogen fertilization
Márcia Thaís de Melo Carvalho, Beáta Emoke Madari, Lammert Bastiaans, Pepijn Adrianus Johannes van Oort, Wesley Gabriel de Oliveira Leal, Diego Mendes de Souza, Roberto Carlos dos Santos, Iva Matsushige, Aline de Holanda Nunes Maia, Alexandre Bryan Heinemann, Holger Meinke
Pesquisa Agropecuaria Brasileira, 2016 - Requirement of supplemental irrigation for dry season common bean in goiás
Alexandre Bryan Heinemann, Luís Fernando Stone
Irriga, 2015 - Variation and impact of drought-stress patterns across upland rice target population of environments in Brazil
Alexandre Bryan Heinemann, Camilo Barrios-Perez, Julian Ramirez-Villegas, David Arango-Londoño, Osana Bonilla-Findji, João Carlos Medeiros, Andy Jarvis
Journal of Experimental Botany, 2015 - Eficiência do uso da radiação solar e indices morfofisiológicos em cultivares de feijoeiro
Gisele Carneiro da Silva Teixeira, Luís Fernando Stone, Alexandre Bryan Heinemann
Pesquisa Agropecuaria Tropical, 2015 - Nitrogen Uptake and Use Efficiency in Rice
N. K. Fageria, V. C. Baligar, A. B. Heinemann, M. C. S. Carvalho
Nutrient Use Efficiency from Basics to Advance, 2015 - Biochar increases plant-available water in a sandy loam soil under an aerobic rice crop system
M. T. de Melo Carvalho, A. de Holanda Nunes Maia, B. E. Madari, L. Bastiaans, P. A. J. van Oort, A. B. Heinemann, M. A. Soler da Silva, F. A. Petter, B. H. Marimon Jr., H. Meinke
Solid Earth, 2014 - Comparative Efficiency of Phosphorus Sources for Upland Rice Production
N. K. Fageria, A. B. Heinemann, R. A. Reis
Communications in Soil Science and Plant Analysis, 2014 - Biochar improves fertility of a clay soil in the Brazilian Savannah: Short term effects and impact on rice yield
Journal of Agriculture and Rural Development in the Tropics and Subtropics, 2013 - Nitrogen fluxes from irrigated common-bean as affected by mulching and mineral fertilization
Márcia Thaís de Melo Carvalho, Beáta Emöke Madari, Wesley Gabriel de Oliveira Leal, Adriana Rodolfo da Costa, Pedro Luiz Oliveira de Almeida Machado, Pedro Marques da Silveira, José Aloísio Alves Moreira, Alexandre Bryan Heinemann
Pesquisa Agropecuaria Brasileira, 2013 - Asian soybean rust: Modeling the impact on soybean grain yield in the Triângulo Mineiro/Alto Paranaíba region, Minas Gerais, Brazil
Bioscience Journal, 2013 - Determining the optimum sowing dates for cowpea based on CROPGRO model in Recôncavo of Bahia - Brazil
Aristides F. Lima Filho, Mauricio A. Coelho Filho, Alexandre B. Heinemann
Revista Brasileira De Engenharia Agricola E Ambiental, 2013 - Calibration and evaluation of CROPGRO model for cowpea in Recôncavo of Bahia - Brazil
Aristides F. Lima Filho, Mauricio A. Coelho Filho, Alexandre B. Heinemann
Revista Brasileira De Engenharia Agricola E Ambiental, 2013 - Identification and characterization of drought/wet events homogeneous environments based on regional climate simulations
Diego Simões Fernandes, Luiz Fernando Kruger, Alexandre Bryan Heinemann, Rosmeri Porfírio da Rocha
Bragantia, 2012 - Utilization of the Cropgro-soybean model to estimate yield loss caused by Asian rust in cultivars with different cycle
Rafael de Ávila Rodrigues, João Eduardo Pedrini, Clyde William Fraisse, José Maurício Cunha Fernandes, Flávio Barbosa Justino, Alexandre Bryan Heinemann, Luiz Cláudio Costa, Francisco Xavier Ribeiro do Vale
Bragantia, 2012 - Transpiration response of upland rice to water deficit changed by different levels of eucalyptus biochar
Rogério Gomes Pereira, Alexandre Bryan Heinemann, Beata Emoke Madari, Marcia Thais de Melo Carvalho, Huberto José Kliemann, Aurélio Pereira dos Santos
Pesquisa Agropecuaria Brasileira, 2012 - Simulation of nitrogen management in upland rice with ORYZA/APSIM 2000 model
Luís F. Stone, Alexandre B. Heinemann
Revista Brasileira De Engenharia Agricola E Ambiental, 2012 - Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation
Alexandre Bryan Heinemann, Pepijn A.J. van Oort, Diogo Simões Fernandes, Aline de Holanda Nunes Maia
Bragantia, 2012 - Regional and local calibration of hargreaves equation for estimating reference evapotranspiration
Diego Simões Fernandes, Alexandre Bryan Heinemann, Rosidalva Lopes Feitosa Paz, André de Oliveira Amorim
Revista Ciencia Agronomica, 2012 - Correlation between common bean yield under organic production and soil attributes
Luís F. Stone, Enderson P. de B. Ferreira, Agostinho D. Didonet, Alexandre B. Heinemann, Jaison P. de Oliveira
Revista Brasileira De Engenharia Agricola E Ambiental, 2012 - Correlation between temperature and phenology prediction error in rice (Oryza sativa L.)
P.A.J. van Oort, Tianyi Zhang, M.E. de Vries, A.B. Heinemann, H. Meinke
Agricultural and Forest Meteorology, 2011 - Rice yield variability estimates at different time scales of SPI index
Diego Simões Fernandes, Alexandre Bryan Heinemann
Pesquisa Agropecuaria Brasileira, 2011 - Lowland rice genotypes evaluation for phosphorus use efficiency in tropical lowland
N. K. Fageria, A. B. Santos, A. B. Heinemann
Journal of Plant Nutrition, 2011 - Transpiration rate response to water deficit during vegetative and reproductive phases of upland rice cultivars
Alexandre Bryan Heinemann, Luís Fernando Stone, Nand Kumar Fageria
Scientia Agricola, 2011 - Performance of quantitative drought indices in the upland rice yield estimates
Diego Simões Fernandes, Alexandre Bryan Heinemann, Rosidalva Lopes Feitosa Paz, André de Oliveira Amorim
Pesquisa Agropecuaria Brasileira, 2010 - Characterization of water stress patterns for rice (short and medium cycle) in Goiás state and their consequences for the plant breeding program
Alexandre Bryan Heinemann
Ciencia E Agrotecnologia, 2010 - Calibration and evaluation of the ORYZA-APSIM crop model for upland rice in Brazil
Rogério Lorençoni, Durval Dourado Neto, Alexandre Bryan Heinemann
Revista Ciencia Agronomica, 2010 - Evaluation of physiological traits in upland rice for adaptation to no-tillage system
Alexandre B. Heinemann, Luís Fernando Stone, Nand K. Fageria, Lucas M. de Castro
Brazilian Journal of Plant Physiology, 2009 - Water stress pattern for corn (first and second crop) in the Goiás State and their consequences for the breeding program
Alexandre Bryan Heinemann, Camilo de Lelis Teixeira de Andrade, Reinaldo Lúcio Gomide, André de O. Amorim, Rosidalva Lopes da Paz
Ciencia E Agrotecnologia, 2009 - Characterization of drought stress environments for upland rice and maize in central Brazil
Alexandre Bryan Heinemann, Michael Dingkuhn, Delphine Luquet, Jean Claude Combres, Scott Chapman
Euphytica, 2008 - Adaptation to diverse semi-arid environments of sorghum genotypes having different plant type and sensitivity to photoperiod
Mamoutou Kouressy, Michael Dingkuhn, Michel Vaksmann, Alexandre Bryan Heinemann
Agricultural and Forest Meteorology, 2008 - Soybean (Glycine max (L.) Merr.) growth and development response to CO 2 enrichment under different temperature regimes
Alexandre Bryan Heinemann, Aline de H.N. Maia, Durval Dourado-Neto, K.T. Ingram, Gerrit Hoogenboom
European Journal of Agronomy, 2006 - Nitrogen and water as factors of wheat productivity in cerrado region
Maria da G. Trindade, Luís F. Stone, Alexandre B Heinemann, Abelardo D. Cánovas, José A. A. Moreira
Revista Brasileira De Engenharia Agricola E Ambiental, 2006 - Solar radiation use efficiency on the wheat grain yield as a function of nitrogen fertilizer
Alexandre B. Heinemann, Luís F. Stone, Agostinho D. Didonet, Maria da G. Trindade, Bruno B. Soares, José A. A. Moreira, Abelardo D. Cánovas
Revista Brasileira De Engenharia Agricola E Ambiental, 2006 - The impact of potential errors in rainfall observation on the simulation of crop growth, development and yield
Alexandre B Heinemann, Gerrit Hoogenboom, Bogdan Chojnicki
Ecological Modelling, 2002 - Determination of spatial water requirements at county and regional levels using crop models and GIS: An example for the State of Parana, Brazil
A.B Heinemann, G Hoogenboom, R.T de Faria
Agricultural Water Management, 2002 - Spatial water requirement for irrigation at regional and county levels
2000 ASAE Annual Intenational Meeting Technical Papers Engineering Solutions for A New Century, 2000 - Center pivot irrigation management optimization of dry beans in humid areas
Transactions of the American Society of Agricultural Engineers, 2000 - Influence of sprinkler height on the uniformity of water distribution of a central pivot system
Pesquisa Agropecuaria Brasileira, 1998
