Pedro Ivo Vieira Good God

Dr. Pedro Ivo Vieira Good God

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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2009 in Journal of Insect Physiology
Verified
Journal Article
Closed access
LVL.E. Visôtto
L.E. Visôtto
MOM.G.A. Oliveira
M.G.A. Oliveira
Raul Narciso GuedesRaul Narciso Guedes
Raul Narciso Guedes
ARAndrea de Oliveira Barros Ribon
Andrea de Oliveira Barros Ribon
PGPedro Ivo Vieira Good God
Pedro Ivo Vieira Good God

8 February 2018 in Ciência Rural
Verified
Journal Article
Open access
PDF file
TCTiago Garcia da Cunha
Tiago Garcia da Cunha
LVLiliane Evangelista Visôtto
Liliane Evangelista Visôtto
ELEveraldo Antonio Lopes
Everaldo Antonio Lopes
COClaúdio Marcelo Gonçalves Oliveira
Claúdio Marcelo Gonçalves Oliveira
PGPedro Ivo Vieira Good God
Pedro Ivo Vieira Good God
The accurate identification of root-knot nematode (RKN) species (Meloidogyne spp.) is essential for implementing management strategies. Methods based on the morphology of adults, isozymes phenotypes and DNA analysis can be used for the diagnosis of RKN. Traditionally, RKN species are identified by the analysis of the perineal patterns and esterase phenotypes. For both procedures, mature females are required. Over the last few decades, accurate and rapid molecular techniques have been validated for RKN diagnosis, including eggs, juveniles and adults as DNA sources. Here, we emphasized the methods used for diagnosis of RKN, including emerging molecular techniques, focusing on the major species reported in Brazil.

1 March 2018 in Anais da Academia Brasileira de Ciências
Verified
Journal Article
Open access
PDF file
RBRafael D. Bueno
Rafael D. Bueno
LBLeandro L. Borges
Leandro L. Borges
PGPedro Ivo Vieira Good God
Pedro Ivo Vieira Good God
NPNewton D. Piovesan
Newton D. Piovesan
ATArlindo I. Teixeira
Arlindo I. Teixeira
EBEveraldo G. DE Barros
Everaldo G. DE Barros
Soybeans contain about 30% carbohydrate, mainly consisting of non-starch polysaccharides (NSP) and oligosaccharides. NSP are not hydrolyzed in the gastrointestinal tract of monogastric animals. These NSP negatively affect the development of these animals, especially the soluble fraction. This work aimed to establish a method to quantify NSP in soybeans, using high performance liquid chromatography (HPLC), and to estimate correlations between NSP, oligosaccharides, protein and oil. Sucrose, raffinose + stachyose, soluble and insoluble NSP contents were determined by HPLC. Oil and protein contents were determined by near-infrared spectroscopy (NIRS). The soluble PNAs content showed no significant correlation with protein, oil, sucrose and raffinose + stachyose contents, but oligosaccharides showed a negative correlation with protein content. These findings open up the possibility of developing cultivars with low soluble NSP content, aiming to develop feed for monogastric animals.

1 March 2009 in Chilean journal of agricultural research
Verified
Journal Article
Open access
PDF file
EAEmmanuel Arnhold
Emmanuel Arnhold
Freddy Mora-PobleteFreddy Mora-Poblete
Freddy Mora-Poblete
RSRicardo G. Silva
Ricardo G. Silva
PGPedro Ivo Vieira Good God
Pedro Ivo Vieira Good God
MRMarcos A Rodovalho
Marcos A Rodovalho
The market for popcorn (Zea mays L.) has been continuously growing in Brazil fact has required the development of cultivars adapted to local environmental conditions. For this reason, the analytical objectives of this study were to evaluate top-cross popcorn hybrids in relation to popping expansion and grain yield in three different eco-geographic regions of Brazil, in order to estimate variance components using Restricted Maximum Likelihood (REML) and predict breeding values using Best Linear Unbiased Prediction (BLUP). Genetic evaluation considered a linear model with heterogeneous residual (environmental) variances. The Restricted Likelihood Ratio Test (RLRT) evidenced significant differences (p < 0.01) for the genotypic effect. Grain yield showed a moderate heritable trait (h² = 0.26-0.39). A higher additive genetic control was evidenced for popping expansion (h² = 0.58-0.85). Genetic correlations and Spearman coefficient between both traits were negative, indicating that selection based on grain yield would have a negative effect on popping expansion. The top-cross hybrids showed an adequate grain yield, whereas the quality of the popcorn was lower than commercial standards.

20 January 2021 in Euphytica
Verified
Journal Article
Closed access
PDF file
LSLuiz Cláudio Costa Silva
Luiz Cláudio Costa Silva
LMLoreta Buuda da Matta
Loreta Buuda da Matta
GPGuilherme Ramos Pereira
Guilherme Ramos Pereira
RBRafael Delmond Bueno
Rafael Delmond Bueno
NPNewton Deniz Piovesan
Newton Deniz Piovesan
MDMaximiller Dal-Bianco
Maximiller Dal-Bianco

1 May 2010 in Pesquisa Agropecuária Brasileira
Verified
Journal Article
Open access
PDF file
JRJosiane Isabela da Silva Rodrigues
Josiane Isabela da Silva Rodrigues
FMFábio Demolinari de Miranda
Fábio Demolinari de Miranda
AFAdésio Ferreira
Adésio Ferreira
LBLeandro Luiz Borges
Leandro Luiz Borges
MFMarcia Ferreira
Marcia Ferreira
MMMaurilio Alves Moreira
Maurilio Alves Moreira
O objetivo deste trabalho foi detectar e mapear locos de caracteres quantitativos (QTL) que afetam os conteúdos de proteína e óleo em soja (Glycine max L. Merr.). Plantas F2, derivadas do cruzamento entre a linhagem CS3032PTA276 e a variedade UFVS2012, foram cultivadas em casa de vegetação e forneceram as folhas para extração e análise de DNA. Quarenta e oito marcadores microssatélites (SSR) polimórficos foram avaliados na população F2. A avaliação dos fenótipos foi realizada em 207 famílias das progênies F2:3, em um delineamento em blocos ao acaso, com três repetições, conduzido em Viçosa, MG, em 2006. Foram detectados quatro QTL associados ao conteúdo de proteína, nos grupos de ligação D1a, G, A1, e I, e três QTL associados ao conteúdo de óleo, nos grupos A1, I e O. A variação fenotípica explicada pelos QTL variou de 6,24 a 18,94% e 17,26 a 25,93%, respectivamente, para os conteúdos de proteína e óleo. Foram detectados novos QTL associados aos conteúdos de proteína e óleo, além dos previamente relatados em outros estudos. Regiões distintas das atualmente conhecidas podem estar envolvidas no controle genético do teor de proteína e óleo na soja.