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Genome and environment based prediction models and methods of complex traits incorporating genotype × environment interaction. Author(s): BRESEGHELLO, F. Genomic-enabled prediction models are of paramount importance for the successful implementation of genomic selection (GS) based on breeding values. As opposed to animal breeding, plant breeding includ... ... Repository: BDPA Publication year: 2022
Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought. Author(s): SOTTA, E. Considerable uncertainty surrounds the fate of Amazon rainforests in response to climate change. Here, carbon (C) flux predictions of five terrestrial biosphere models (Community Land Model version 3.... ... Repository: BDPA Publication year: 2013
Prediction of geographic distribution and ecological niche modeling of açaí palm trees in the Amazon. Author(s): LOPES, R.; WREGE, M. S.; AGUIAR, A. V. de Euterpe precatoria Mart. (açaí-do-amazonas) and Euterpe oleracea Mart. (açaí-do-pará) are palm trees of socioeconomic importance to Brazil, and fruit demand has increased due to its nutritional charac... ... Repository: BDPA Publication year: 2024
Predictive models to estimate carbon stocks in agroforestry systems. Author(s): OLIVEIRA, S. R. de M. Abstract: This study aims to assess the carbon stock in a pasture area and fragment of forest in natural regeneration, given the importance of agroforestry systems in mitigating gas emissions which co... ... Repository: BDPA Publication year: 2021
A weather-based model for predicting early season inoculum build-up and spike infection by the wheat blast pathogen. Author(s): FERNANDES, J. M. C.; NICOLAU, M. Repository: BDPA Publication year: 2017
Temperature-dependent modeling and spatial predictions for identifying geographical areas in Brazil suitable for the use of Cordyceps javanica in whitefly control. Author(s): SILVA, J. F. A. e; QUINTELA, E. D. Lalguard C99 WP, based on the Cordyceps javanica BRM 27666 strain, is registered in Brazil for whitefly control. Spatial prediction is crucial for optimizing its field use and efficacy. In this study,... ... Repository: BDPA Publication year: 2025
Development and validation of a model based on vegetation indices for the prediction of sugarcane yield. Author(s): SPERANZA, E. A.; ANTUNES, J. F. G.; BARBOSA, L. A. F.; CANÇADO, G. M. de A. This study aimed to develop a predictive model for sugarcane production based on data extracted from aerial imagery obtained from drones or satellites, allowing the precise tracking of plant developme... ... Repository: BDPA Publication year: 2023
Early prediction models for cassava root yield in different water regimes. Author(s): MORGANTE, C. V.; ANTONIO, R. P.; OLIVEIRA, E. J. de The development of cassava (Manihot esculenta Crantz) varieties with greater tolerance of water deficit depends on optimized phenotyping tools. The objective of this work was to develop early predicti... ... Repository: BDPA Publication year: 2019
Evaluation of three models for predicting Venturia inaequalis ascospore release in Southern Brazil. Author(s): ALVES, S. A. M. Ascospores of Venturia inaequalis constitute the principal source of primary inoculum for epidemics of apple black spot (scab). Mathematical models that describe ascospore release have been developed... ... Repository: BDPA Publication year: 2013
Genome prediction accuracy of common bean via Bayesian models. Author(s): VIANELLO, R. P.; VALDISSER, P. A. M. R. We aimed to apply genomic information based on SNP (single nucleotide polymorphism) markers for the genetic evaluation of the traits ?stay-green? (SG), plant architecture (PA), grain aspect (GA) and g... ... Repository: BDPA Publication year: 2018

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