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    Viabilidade econômica do uso da água residuária de bovinocultura de leite na produção irrigada de milho para silagem
    (Universidade Federal de Viçosa, 2026-09-23) Silva, Izabela Maria dos Santos; Aleman, Catariny Cabral
    A escassez hídrica e a crescente necessidade por sistemas agrícolas sustentáveis têm impulsionado o reúso de água residuária como alternativa à irrigação convencional. Este estudo teve como objetivo avaliar a viabilidade econômica do uso de água residuária da bovinocultura leiteira na fertirrigação do milho para silagem, cultivado na safrinha, na Unidade de Ensino, Pesquisa e Extensão em Gado de Leite (UEPE-GL), da Universidade Federal de Viçosa (UFV). A metodologia baseou-se na estimativa da demanda hídrica, e da dose de água residuária para a cultura, além da análise comparativa de custos entre dois cenários: irrigação convencional com água bruta e fertirrigação com água residuária. Foram considerados os custos de implantação da lavoura, do sistema de irrigação, energia, manutenção e cobrança pelo uso da água. Os resultados indicaram que o sistema com água residuária apresentou custo total anual de R$8.373,81, enquanto o sistema convencional foi de R$11.470,38. A relação benefício/custo foi de 1,17 para o sistema com água residuária, indicando viabilidade econômica, enquanto para a irrigação convencional com água bruta apresentou B/C de 0,85, sendo considerada inviável sob as condições avaliadas. Conclui-se que o uso de água residuária da bovinocultura leiteira na produção irrigada de milho para silagem mostrou-se economicamente mais atrativo que o manejo convencional com água bruta. Além da redução dos custos de produção, a prática pode contribuir para a ciclagem de nutrientes no solo e para o aproveitamento agrícola de efluentes pecuários, desde que sua aplicação seja manejada de forma adequada quanto à demanda hídrica da cultura e à carga de nutrientes admissível no sistema solo-planta. Palavras-chave: Fertirrigação; Reúso agrícola; Sustentabilidade; Relação benefício/custo; custo de produção.
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    Row-col method associated with frequentist and Bayesian statistics in a passion fruit population
    (Crop Breeding and Applied Biotechnology, 2023) Silva, Flavia Alves da; Souza, André Oliveira; Viana, Alexandre Pio; Silva, Fabyano Fonseca e; Azevedo, Camila Ferreira; Cavalcante, Natan Ramos
    This study was conducted to test the significance of adding row and column factors in the frequentist and Bayesian models used in the evaluation of a population of Passiflora edulis, as well as selecting promising genotypes to form the next generation. The following parameters were evaluated: number of fruits, yield, fruit weight, transverse fruit diameter, longitudinal fruit diameter, pulp percentage, skin thickness and total soluble solids. For the Bayesian model, two priors were considered, namely, inverse gamma and a priori distribution with extended parameters. The model with a priori distribution with extended parameters showed lower root mean square error and higher correlation coefficient between observed and predicted values than the inverse gamma model. Furthermore, for a selection intensity of 37%, the mixed and Bayesian models selected practically the same progenies in both experiments. The use of the 5-fold cross-validation technique indicated that both tested models were efficient.
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    UFSMFW 2101: very early black oat cultivar with high yield potential
    (Crop Breeding and Applied Biotechnology, 2022) Marchioro, Volmir Sergio; Meira, Daniela; Klein, Luís Antônio; Meier, Carine; Souza, Velci Queiróz de; Follmann, Diego Nicolau; Carvalho, Ivan Ricardo; Caron, Braulio Otomar; Schimidt, Denise; Nardino, Maicon; Olivoto, Tiago
    The black oat cultivar UFSMFW 2101, recommended for Northwest of the state of Rio Grande do Sul, is very early and can produce high dry matter and grain yields. In rotation systems, an immediate advantage is the very early cycle, with the possibility of anticipated sowing of the subsequent crop.
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    GenomicLand: a user-friendly tool for genomic prediction and association studies
    (Crop Breeding and Applied Biotechnology, 2026) Azevedo, Camila F.; Nascimento, Moyses; Fontes, Vitor C.; Cruz, Cosme D.
    GenomicLand is a free, open-source platform for genomic prediction and genome-wide association studies. Developed in R software using Shiny, it supports diploid and polyploid datasets and integrates statistical learning, Bayesian, machine learning, and neural network methods. GenomicLand provides an accessible environment for researchers, breeders, and students.
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    Bayesian segmented regression model to evaluate the adaptability and stability of maize in Northeastern Brazil
    (Crop Breeding and Applied Biotechnology, 2023) Oliveira, Tâmara Rebecca Albuquerque de; Carvalho, Hélio Wilson Lemos de; Nascimento, Moyses; Suela, Matheus Massariol; Cardoso, Milton José; Oliveira, Gustavo Hugo Ferreira
    Although maize is one of the main crops in the Northeast region, yield is still considered low when compared to other regions. One of the main solutions to increasing yield is the selection of cultivars adapted to the conditions of the Northeast region. Thus, the present study aims to use the Bayesian segmented regression model to evaluate the adaptability and stability of maize. The experiment was set up in a randomized block design with two repetitions, where 25 maize hybrids were evaluated in different states. Initially, the analysis of variance was performed. Then, the Bayesian approach of the segmented regression method was used to select the hybrids regarding adaptability and stability. There was a difference between the genotypes indicated using the a priori distribution and those indicated by the minimally informative a priori distribution. Hybrids 20A55HX, 2B433HX, 2B512HX, and P2830H were considered ideal for the Northeast region.