11 results on '"Granato, I."'
Search Results
2. No evidence of increased cerebrovascular involvement in adult neurologically-asymptomatic β-Thalassaemia. A multicentre multimodal magnetic resonance study
- Author
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Gianluca Femina, Antonietta Canna, Sara Ponticorvo, Renzo Manara, Violetta Caserta, Maddalena Casale, Paolo Gritti, Elisa De Michele, Silverio Perrotta, Andrea G. Russo, Teresa Ferrantino, Camilla Russo, Martina Caiazza, Mario Cirillo, Giovanni Amendola, Antonella Centanni, Noemi Ippolito, Fabrizio Esposito, Angela Ciancio, Rosanna Di Concilio, Andrea Elefante, Ilaria Granato, Mario Ermani, Tiziana Oliveto, Pasquale Alessandro Carafa, Immacolata Tartaglione, Tartaglione, Immacolata, Russo, Camilla, Elefante, Andrea, Caiazza, Martina, Casale, Maddalena, Di Concilio, Rosanna, Ciancio, Angela, De Michele, Elisa, Amendola, Giovanni, Gritti, Paolo, Carafa, Pasquale A, Ferrantino, Teresa, Centanni, Antonella, Ippolito, Noemi, Caserta, Violetta, Oliveto, Tiziana, Granato, Ilaria, Femina, Gianluca, Esposito, Fabrizio, Ponticorvo, Sara, Russo, Andrea G, Canna, Antonietta, Ermani, Mario, Cirillo, Mario, Perrotta, Silverio, Manara, Renzo, Tartaglione, I., Russo, C., Elefante, A., Caiazza, M., Casale, M., Di Concilio, R., Ciancio, A., De Michele, E., Amendola, G., Gritti, P., Carafa, P. A., Ferrantino, T., Centanni, A., Ippolito, N., Caserta, V., Oliveto, T., Granato, I., Femina, G., Esposito, F., Ponticorvo, S., Russo, A. G., Canna, A., Ermani, M., Cirillo, M., Perrotta, S., and Manara, R. more...
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Adult ,medicine.medical_specialty ,brain MRI ,Adolescent ,transfusion medicine ,Venography ,thalassaemia ,Asymptomatic ,Magnetic resonance angiography ,Brain Ischemia ,White matter ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Leukoencephalopathies ,medicine ,Humans ,thrombosi ,Prospective Studies ,vascular malformations ,thrombosis ,Aged ,medicine.diagnostic_test ,business.industry ,beta-Thalassemia ,Brain ,Intracranial Aneurysm ,Magnetic resonance imaging ,Intracranial Artery ,Hematology ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,White Matter ,Thrombosis ,Hyperintensity ,medicine.anatomical_structure ,Case-Control Studies ,030220 oncology & carcinogenesis ,Radiology ,Nervous System Diseases ,medicine.symptom ,business ,Magnetic Resonance Angiography ,030215 immunology - Abstract
Multi-factorial causes jeopardize brain integrity in β-thalassaemia. Intracranial parenchymal and vascular changes have been reported among young β-thalassaemia patients but conventional magnetic resonance imaging (MRI) findings are contradictory making early MRI and magnetic resonance angiography (MRA)/venography monitoring a matter of debate. This study prospectively investigated 75 neurologically asymptomatic β-thalassaemia patients (mean-age 35·2±10·7years; 52/75 transfusion-dependent; 41/75 splenectomised) using a 3T magnetic resonance scanner; clinical, laboratory and treatment data were also collected. White matter ischaemic-like abnormalities, intracranial artery stenoses, aneurysms and sinus venous thrombosis were compared between patients and 56 healthy controls (mean-age 33·9±10·8years). No patient or control showed silent territorial or lacunar strokes, intracranial artery stenoses or signs of sinus thrombosis. White matter lesions were found both in patients (35/75, 46·7%) and controls (28/56, 50·0%), without differences in terms of number (4·0±10·6 vs. 4·6±9·1, P=0·63), size and Fazekas' Score. Intracranial aneurysms did not differ between patients and controls for incidence rate (7/75, 9·3% vs. 5/56, 8·9%), size and site. Vascular and parenchymal abnormality rate did not differ according to treatments or clinical phenotype. According to this study, asymptomatic β-thalassaemia patients treated according to current guidelines do not seem to carry an increased risk of brain and intracranial vascular changes, thus weakening recommendations for regular brain MRI monitoring. more...
- Published
- 2019
Catalog
3. Brain functional impairment in beta-thalassaemia: the cognitive profile in Italian neurologically asymptomatic adult patients in comparison to the reported literature
- Author
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Immacolata Tartaglione, Paolo Gritti, Silverio Perrotta, Teresa Ferrantino, Violetta Caserta, Renzo Manara, Fabrizio Esposito, Caterina Maietta, Mario Cirillo, Sara Ponticorvo, Rosanna Di Concilio, Pasquale Alessandro Carafa, Elisa De Michele, Antonella Centanni, Gianluca Femina, Angela Ciancio, Martina Caiazza, Noemi Ippolito, Antonietta Canna, Andrea G. Russo, Mario Ermani, Andrea Elefante, Ilaria Granato, Camilla Russo, Maddalena Casale, Tiziana Oliveto, Tartaglione, I., Manara, R., Caiazza, M., Carafa, P. A., Caserta, V., Ferrantino, T., Granato, I., Ippolito, N., Maietta, C., Oliveto, T., Casale, M., Di Concilio, R., Ciancio, A., De Michele, E., Russo, Cristiana, Elefante, A., Ponticorvo, S., Russo, A. G., Femina, G., Canna, A., Ermani, M., Cirillo, M., Esposito, F., Centanni, A., Gritti, P., Perrotta, S., and Russo, C. more...
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Adult ,Male ,medicine.medical_specialty ,Adolescent ,blood transfusion ,Gastroenterology ,Asymptomatic ,Young Adult ,03 medical and health sciences ,Cognition ,0302 clinical medicine ,Internal medicine ,Brief Psychiatric Rating Scale ,Wechsler Adult Intelligence Scale ,medicine ,Humans ,Cognitive Dysfunction ,Prospective Studies ,Prospective cohort study ,beta-thalassaemia ,brain magnetic resonance imaging ,intelligence quotient ,Depression (differential diagnoses) ,Aged ,Intelligence quotient ,business.industry ,beta-Thalassemia ,Brain ,Hematology ,Middle Aged ,Mental Status and Dementia Tests ,Magnetic Resonance Imaging ,Italy ,030220 oncology & carcinogenesis ,Anxiety ,Female ,Symptom Assessment ,medicine.symptom ,business ,030215 immunology - Abstract
Cognitive involvement in beta-thalassaemia is strikingly controversial and poorly studied in adulthood. This multicentre prospective study investigated 74 adult neurologically-asymptomatic beta-thalassaemia patients (mean-age 34 center dot 5 +/- 10 center dot 3 years; 53 transfusion-dependent [TDT], 21 non-transfusion dependent [NTDT]) and 45 healthy volunteers (mean-age 33 center dot 9 +/- 10 center dot 7 years). Participants underwent testing with Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV), Brief Psychiatric Rating Scale (BPRS) and multiparametric brain 3T-magnetic resonance imaging (MRI) for parenchymal, vascular and iron content evaluation. Patients had lower Full-Scale Intelligence Quotient (FSIQ) than controls (75 center dot 5 +/- 17 center dot 9 vs. 97 center dot 4 +/- 18 center dot 1, P < 0 center dot 0001) even after correction for education level. Compared to TDT, NTDT showed a trend of higher FSIQ (P = 0 center dot 08) but a similar cognitive profile at WAIS-subtests. FSIQ correlated with total and indirect bilirubin (P P = 0 center dot 002, respectively); no correlation was found with splenectomy, intracranial MRI/magnetic resonance-angiography findings, brain tissue iron content or other disease-related clinical/laboratory/treatment data. FSIQ did not correlate with BPRS scores, although the latter were higher among patients (28 center dot 74 +/- 3 center dot 1 vs. 27 center dot 29 +/- 4 center dot 8, P = 0 center dot 01) mainly because of increased depression and anxiety levels. Occupation rate was higher among controls (84 center dot 4% vs. 64 center dot 9%, P = 0 center dot 004) and correlated with higher FSIQ (P = 0 center dot 001) and education level (P = 0 center dot 001). In conclusion, Italian adult beta-thalassaemia patients seem to present a characteristic cognitive profile impairment and an increased rate of psychological disorders with possible profound long-term socio-economic consequences. more...
- Published
- 2019
4. Physiological adaptive traits are a potential allele reservoir for maize genetic progress under challenging conditions.
- Author
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Welcker C, Spencer NA, Turc O, Granato I, Chapuis R, Madur D, Beauchene K, Gouesnard B, Draye X, Palaffre C, Lorgeou J, Melkior S, Guillaume C, Presterl T, Murigneux A, Wisser RJ, Millet EJ, van Eeuwijk F, Charcosset A, and Tardieu F more...
- Subjects
- Alleles, Droughts, Phenotype, Plant Breeding, Zea mays genetics
- Abstract
Combined phenomic and genomic approaches are required to evaluate the margin of progress of breeding strategies. Here, we analyze 65 years of genetic progress in maize yield, which was similar (101 kg ha
-1 year-1 ) across most frequent environmental scenarios in the European growing area. Yield gains were linked to physiologically simple traits (plant phenology and architecture) which indirectly affected reproductive development and light interception in all studied environments, marked by significant genomic signatures of selection. Conversely, studied physiological processes involved in stress adaptation remained phenotypically unchanged (e.g. stomatal conductance and growth sensitivity to drought) and showed no signatures of selection. By selecting for yield, breeders indirectly selected traits with stable effects on yield, but not physiological traits whose effects on yield can be positive or negative depending on environmental conditions. Because yield stability under climate change is desirable, novel breeding strategies may be needed for exploiting alleles governing physiological adaptive traits., (© 2022. The Author(s).) more...- Published
- 2022
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5. Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review.
- Author
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Fritsche-Neto R, Galli G, Borges KLR, Costa-Neto G, Alves FC, Sabadin F, Lyra DH, Morais PPP, Braatz de Andrade LR, Granato I, and Crossa J
- Abstract
The usefulness of genomic prediction (GP) for many animal and plant breeding programs has been highlighted for many studies in the last 20 years. In maize breeding programs, mostly dedicated to delivering more highly adapted and productive hybrids, this approach has been proved successful for both large- and small-scale breeding programs worldwide. Here, we present some of the strategies developed to improve the accuracy of GP in tropical maize, focusing on its use under low budget and small-scale conditions achieved for most of the hybrid breeding programs in developing countries. We highlight the most important outcomes obtained by the University of São Paulo (USP, Brazil) and how they can improve the accuracy of prediction in tropical maize hybrids. Our roadmap starts with the efforts for germplasm characterization, moving on to the practices for mating design, and the selection of the genotypes that are used to compose the training population in field phenotyping trials. Factors including population structure and the importance of non-additive effects (dominance and epistasis) controlling the desired trait are also outlined. Finally, we explain how the source of the molecular markers, environmental, and the modeling of genotype-environment interaction can affect the accuracy of GP. Results of 7 years of research in a public maize hybrid breeding program under tropical conditions are discussed, and with the great advances that have been made, we find that what is yet to come is exciting. The use of open-source software for the quality control of molecular markers, implementing GP, and envirotyping pipelines may reduce costs in an efficient computational manner. We conclude that exploring new models/tools using high-throughput phenotyping data along with large-scale envirotyping may bring more resolution and realism when predicting genotype performances. Despite the initial costs, mostly for genotyping, the GP platforms in combination with these other data sources can be a cost-effective approach for predicting the performance of maize hybrids for a large set of growing conditions., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor declared a past co-authorship with one of the authors JC., (Copyright © 2021 Fritsche-Neto, Galli, Borges, Costa-Neto, Alves, Sabadin, Lyra, Morais, Braatz de Andrade, Granato and Crossa.) more...
- Published
- 2021
- Full Text
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6. Maize adaptation across temperate climates was obtained via expression of two florigen genes.
- Author
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Castelletti S, Coupel-Ledru A, Granato I, Palaffre C, Cabrera-Bosquet L, Tonelli C, Nicolas SD, Tardieu F, Welcker C, and Conti L
- Subjects
- Acclimatization genetics, Cold Temperature, Flowers genetics, Flowers growth & development, Humans, Photoperiod, Plant Proteins metabolism, Quantitative Trait Loci genetics, Zea mays growth & development, Adaptation, Physiological genetics, Florigen metabolism, Plant Proteins genetics, Zea mays genetics
- Abstract
Expansion of the maize growing area was central for food security in temperate regions. In addition to the suppression of the short-day requirement for floral induction, it required breeding for a large range of flowering time that compensates the effect of South-North gradients of temperatures. Here we show the role of a novel florigen gene, ZCN12, in the latter adaptation in cooperation with ZCN8. Strong eQTLs of ZCN8 and ZCN12, measured in 327 maize lines, accounted for most of the genetic variance of flowering time in platform and field experiments. ZCN12 had a strong effect on flowering time of transgenic Arabidopsis thaliana plants; a path analysis showed that it directly affected maize flowering time together with ZCN8. The allelic composition at ZCN QTLs showed clear signs of selection by breeders. This suggests that florigens played a central role in ensuring a large range of flowering time, necessary for adaptation to temperate areas., Competing Interests: The authors have declared that no competing interests exist. more...
- Published
- 2020
- Full Text
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7. Brain functional impairment in beta-thalassaemia: the cognitive profile in Italian neurologically asymptomatic adult patients in comparison to the reported literature.
- Author
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Tartaglione I, Manara R, Caiazza M, Carafa PA, Caserta V, Ferrantino T, Granato I, Ippolito N, Maietta C, Oliveto T, Casale M, Di Concilio R, Ciancio A, De Michele E, Russo C, Elefante A, Ponticorvo S, Russo AG, Femina G, Canna A, Ermani M, Cirillo M, Esposito F, Centanni A, Gritti P, and Perrotta S more...
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- Adolescent, Adult, Aged, Female, Humans, Male, Middle Aged, Young Adult, Italy, Magnetic Resonance Imaging, Mental Status and Dementia Tests, Prospective Studies, Symptom Assessment, beta-Thalassemia complications, Brain physiopathology, Cognition, Cognitive Dysfunction diagnosis, Cognitive Dysfunction etiology, Cognitive Dysfunction physiopathology
- Abstract
Cognitive involvement in beta-thalassaemia is strikingly controversial and poorly studied in adulthood. This multicentre prospective study investigated 74 adult neurologically-asymptomatic beta-thalassaemia patients (mean-age 34·5 ± 10·3 years; 53 transfusion-dependent [TDT], 21 non-transfusion dependent [NTDT]) and 45 healthy volunteers (mean-age 33·9 ± 10·7 years). Participants underwent testing with Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV), Brief Psychiatric Rating Scale (BPRS) and multiparametric brain 3T-magnetic resonance imaging (MRI) for parenchymal, vascular and iron content evaluation. Patients had lower Full-Scale Intelligence Quotient (FSIQ) than controls (75·5 ± 17·9 vs. 97·4 ± 18·1, P < 0·0001) even after correction for education level. Compared to TDT, NTDT showed a trend of higher FSIQ (P = 0·08) but a similar cognitive profile at WAIS-subtests. FSIQ correlated with total and indirect bilirubin (P < 0·0001 and P = 0·002, respectively); no correlation was found with splenectomy, intracranial MRI/magnetic resonance-angiography findings, brain tissue iron content or other disease-related clinical/laboratory/treatment data. FSIQ did not correlate with BPRS scores, although the latter were higher among patients (28·74 ± 3·1 vs. 27·29 ± 4·8, P = 0·01) mainly because of increased depression and anxiety levels. Occupation rate was higher among controls (84·4% vs. 64·9%, P = 0·004) and correlated with higher FSIQ (P = 0·001) and education level (P = 0·001). In conclusion, Italian adult beta-thalassaemia patients seem to present a characteristic cognitive profile impairment and an increased rate of psychological disorders with possible profound long-term socio-economic consequences., (© 2019 British Society for Haematology and John Wiley & Sons Ltd.) more...
- Published
- 2019
- Full Text
- View/download PDF
8. No evidence of increased cerebrovascular involvement in adult neurologically-asymptomatic β-Thalassaemia. A multicentre multimodal magnetic resonance study.
- Author
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Tartaglione I, Russo C, Elefante A, Caiazza M, Casale M, Di Concilio R, Ciancio A, De Michele E, Amendola G, Gritti P, Carafa PA, Ferrantino T, Centanni A, Ippolito N, Caserta V, Oliveto T, Granato I, Femina G, Esposito F, Ponticorvo S, Russo AG, Canna A, Ermani M, Cirillo M, Perrotta S, and Manara R more...
- Subjects
- Adolescent, Adult, Aged, Case-Control Studies, Humans, Intracranial Aneurysm pathology, Leukoencephalopathies pathology, Magnetic Resonance Angiography, Magnetic Resonance Imaging, Middle Aged, Prospective Studies, White Matter blood supply, Young Adult, Brain blood supply, Brain Ischemia pathology, Nervous System Diseases pathology, beta-Thalassemia pathology
- Abstract
Multi-factorial causes jeopardize brain integrity in β-thalassaemia. Intracranial parenchymal and vascular changes have been reported among young β-thalassaemia patients but conventional magnetic resonance imaging (MRI) findings are contradictory making early MRI and magnetic resonance angiography (MRA)/venography monitoring a matter of debate. This study prospectively investigated 75 neurologically asymptomatic β-thalassaemia patients (mean-age 35·2 ± 10·7 years; 52/75 transfusion-dependent; 41/75 splenectomised) using a 3T magnetic resonance scanner; clinical, laboratory and treatment data were also collected. White matter ischaemic-like abnormalities, intracranial artery stenoses, aneurysms and sinus venous thrombosis were compared between patients and 56 healthy controls (mean-age 33·9 ± 10·8 years). No patient or control showed silent territorial or lacunar strokes, intracranial artery stenoses or signs of sinus thrombosis. White matter lesions were found both in patients (35/75, 46·7%) and controls (28/56, 50·0%), without differences in terms of number (4·0 ± 10·6 vs. 4·6 ± 9·1, P = 0·63), size and Fazekas' Score. Intracranial aneurysms did not differ between patients and controls for incidence rate (7/75, 9·3% vs. 5/56, 8·9%), size and site. Vascular and parenchymal abnormality rate did not differ according to treatments or clinical phenotype. According to this study, asymptomatic β-thalassaemia patients treated according to current guidelines do not seem to carry an increased risk of brain and intracranial vascular changes, thus weakening recommendations for regular brain MRI monitoring., (© 2019 British Society for Haematology and John Wiley & Sons Ltd.) more...
- Published
- 2019
- Full Text
- View/download PDF
9. BGGE: A New Package for Genomic-Enabled Prediction Incorporating Genotype × Environment Interaction Models.
- Author
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Granato I, Cuevas J, Luna-Vázquez F, Crossa J, Montesinos-López O, Burgueño J, and Fritsche-Neto R
- Subjects
- Bayes Theorem, Predictive Value of Tests, Gene-Environment Interaction, Genotype, Models, Genetic
- Abstract
One of the major issues in plant breeding is the occurrence of genotype × environment (GE) interaction. Several models have been created to understand this phenomenon and explore it. In the genomic era, several models were employed to improve selection by using markers and account for GE interaction simultaneously. Some of these models use special genetic covariance matrices. In addition, the scale of multi-environment trials is getting larger, and this increases the computational challenges. In this context, we propose an R package that, in general, allows building GE genomic covariance matrices and fitting linear mixed models, in particular, to a few genomic GE models. Here we propose two functions: one to prepare the genomic kernels accounting for the genomic GE and another to perform genomic prediction using a Bayesian linear mixed model. A specific treatment is given for sparse covariance matrices, in particular, to block diagonal matrices that are present in some GE models in order to decrease the computational demand. In empirical comparisons with Bayesian Genomic Linear Regression (BGLR), accuracies and the mean squared error were similar; however, the computational time was up to five times lower than when using the classic approach. Bayesian Genomic Genotype × Environment Interaction (BGGE) is a fast, efficient option for creating genomic GE kernels and making genomic predictions., (Copyright © 2018 Granato et al.) more...
- Published
- 2018
- Full Text
- View/download PDF
10. Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment Trials.
- Author
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Cuevas J, Granato I, Fritsche-Neto R, Montesinos-Lopez OA, Burgueño J, Bandeira E Sousa M, and Crossa J
- Subjects
- Algorithms, Databases, Genetic, Gene-Environment Interaction, Environment, Genome, Plant, Models, Genetic, Triticum genetics, Zea mays genetics
- Abstract
In this study, we compared the prediction accuracy of the main genotypic effect model (MM) without G×E interactions, the multi-environment single variance G×E deviation model (MDs), and the multi-environment environment-specific variance G×E deviation model (MDe) where the random genetic effects of the lines are modeled with the markers (or pedigree). With the objective of further modeling the genetic residual of the lines, we incorporated the random intercepts of the lines ([Formula: see text]) and generated another three models. Each of these 6 models were fitted with a linear kernel method (Genomic Best Linear Unbiased Predictor, GB) and a Gaussian Kernel (GK) method. We compared these 12 model-method combinations with another two multi-environment G×E interactions models with unstructured variance-covariances (MUC) using GB and GK kernels (4 model-method). Thus, we compared the genomic-enabled prediction accuracy of a total of 16 model-method combinations on two maize data sets with positive phenotypic correlations among environments, and on two wheat data sets with complex G×E that includes some negative and close to zero phenotypic correlations among environments. The two models (MDs and MDE with the random intercept of the lines and the GK method) were computationally efficient and gave high prediction accuracy in the two maize data sets. Regarding the more complex G×E wheat data sets, the prediction accuracy of the model-method combination with G×E, MDs and MDe, including the random intercepts of the lines with GK method had important savings in computing time as compared with the G×E interaction multi-environment models with unstructured variance-covariances but with lower genomic prediction accuracy., (Copyright © 2018 Cuevas et al.) more...
- Published
- 2018
- Full Text
- View/download PDF
11. Effects of using phenotypic means and genotypic values in GGE biplot analyses on genotype by environment studies on tropical maize (Zea mays).
- Author
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Granato IS, Fritsche-Neto R, Resende MD, and Silva FF
- Subjects
- Genotype, Hybridization, Genetic drug effects, Likelihood Functions, Nitrogen pharmacology, Phenotype, Environment, Models, Genetic, Tropical Climate, Zea mays genetics
- Abstract
The objective of this study was to examine the effects of the type and intensity of nutritional stress, and of the statistical treatment of the data, on the genotype x environment (G x E) interaction for tropical maize (Zea mays). For this purpose, 39 hybrid combinations were evaluated under low- and high-nitrogen and -phosphorus availability. The plants were harvested at the V6 stage, and the shoot dry mass was estimated. The variance components and genetic values were assessed using the restricted maximum likelihood/best linear unbiased prediction method, and subsequently analyzed using the GGE biplot method. We observed differences in the performances of the hybrids depending on both the type and intensity of nutritional stress. The results of relationship between environments depended on whether genotypic values or phenotypic means were used. The selection of tropical maize genotypes against nutritional stress should be performed for each nutrient availability level within each type of nutritional stress. The use of phenotypic means for this purpose provides greater reliability than do genotypic values for the analysis of the G x E interaction using GGE biplot. more...
- Published
- 2016
- Full Text
- View/download PDF
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