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15 results on '"Benin, Giovani"'

4. UTF 25-Early bread wheat cultivar with white flour.

Author

Benin, Giovani, Simionato Milioli, Anderson, Meira, Daniela, Guilherme Woyann, Leomar, Henrique Bozi, Antonio, Claudia Rosa, Ana, Alexandra Madella, Laura, Cecília Panho, Maiara, Vinicius Dallacorte, Lucas, Tolentino Fernandes, Rogê Afonso, Kunz Fernandes, Vinícius, Barrionuevo, Fabiana, Madureira, Alana, Beche, Eduardo, Lemes da Silva, Cristiano, Bornhofen, Elesandro, Berger Munaro, Lucas, Henrique Todeschini, Matheus, and Duarte, Thiago

Subjects
*FLOUR, *GRAIN yields, *DISEASE resistance of plants, *BREAD, *WHEAT
Abstract

The wheat cultivar UTF 25 is recommended for wheat-growing regions 1 and 2 of Paraná and Santa Catarina states. It has a good disease resistance, early cycle, and high grain yield potential, with an average yield of 3.511 kg ha-1. It is classified as bread wheat with white flour. [ABSTRACT FROM AUTHOR]

Published
2020
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5. Mega‐environment identification for soybean (Glycine max) breeding and production in Brazilian Midwest region.

Author

Zdziarski, Andrei D., Woyann, Leomar G., Milioli, Anderson S., Zanella, Rodrigo, Dallacorte, Lucas V., Panho, Maiara C., and Benin, Giovani

Subjects
SOYBEAN, SOYBEAN cyst nematode, SOYBEAN yield, SOYBEAN farming, GRAIN yields, GENOTYPE-environment interaction
Abstract

Mega‐environment (ME) identification is the first step for evaluating, selecting and recommending genotypes within a target region (TR). The present study aimed to (a) identify MEs, using GGE biplot methods, in Brazilian edaphoclimatic region (ECR) 402 of soybean cultivation, located in the Mato Grosso State (the TR) and (b) compare the performance of genotypes within the TR and in each ME using fixed and mixed models. Data from three years of soybean yield trials, 19 genotypes and 22 environments were used. The biplots GGE, GGL + GGE and GGS + GGE were implemented to identify the MEs. Two MEs were identified in the TR. ME1 presents a higher altitude, farms which use a higher level of fertilizer inputs and a higher occurrence of the soybean cyst nematode (SCN) than ME2. When selection and recommendation are made based on MEs, genotypes with both broadly and specific adaptation can be selected. This action can improve grain yield in the entire target region. [ABSTRACT FROM AUTHOR]

Published
2019
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6. Timing and growing conditions of nitrogen topdressing influence the grain yield and protein content of four wheat cultivars.

Author

Rossi Silva, Raphael, Zucareli, Claudemir, de Batista Fonseca, Inês Cristina, Riede, Carlos Roberto, Benin, Giovani, and Gazola, Diego

Subjects
GRAIN yields, GRAIN proteins, CULTIVARS, TUKEY'S test, NITROGEN
Abstract

The application of an adequate rate and splitting of nitrogen is essential for wheat grain yield and protein content. The aim of this work was to adjust nitrogen management approaches regarding agronomic performance and protein content of wheat cultivars in various environments. Field experiments were conducted under no-tillage system on soybean mulch during the 2011 and 2012 growing seasons in Londrina and Pato Branco regions. The experimental design was a randomized block in split plot with four replicates. Four wheat cultivars (IPR Catuara TM, BRS Gaivota, Quartzo, CD 120) were tested with six nitrogen (N) management forms. Were evaluated: number of ears per unit area (NEA); plant height (PH); thousand-kernel weight (TKW); test weight (TW); grain yield (GY); and protein content (PC). The combined ANOVA (p ≤ 0.01) and Tukey's test (p ≤ 0.01) were used. The interaction between cultivars and environments influence all yield components, GY and PC. The interaction management forms of N and environments affected the TKW, NEA, GY and PC. The results showed that in low-rainfall environments, nitrogen topdressing could be suppressed with no negative effects on GY or PC. Under ideal weather conditions, the GY of wheat cultivars was enhanced on application of 60 kg⋅ha-1 N of urea at the beginning of tillering as well 20 kg⋅ha-1 of N at booting. Matching the appropriate cultivars to the ideal growth environment is essential for achieving high GY values. The nitrogen forms on the topdressing do not influence the PC of cultivars in Pato Branco. [ABSTRACT FROM AUTHOR]

Published
2019
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7. Épocas de semeadura e desempenho agronômico de cultivares de soja

Author

Meotti, Giovane Vanin, Benin, Giovani, Silva, Raphael Rossi, Beche, Eduardo, and Munaro, Lucas Berger

Subjects
AMMI, Glycine max, produtividade de grãos, grain yield, GGE biplot, interação genótipo x ambiente, genotype x environment interaction
Abstract

O objetivo deste trabalho foi avaliar o efeito de épocas de semeadura no desempenho agronômico de cultivares de soja em São Domingos, SC, e indicar as cultivares mais estáveis e adaptadas a cada época. O experimento foi conduzido durante dois anos agrícolas (2008/2009 e 2009/2010), com seis cultivares e quatro épocas de semeadura (15/10, 15/11, 15/12 e 15/1), em delineamento experimental de blocos ao acaso, com três repetições e parcelas com área útil de 3,6 m². A metodologia AMMI (modelos de efeitos principais aditivos com interação multiplicativa) foi utilizada para avaliar o desempenho produtivo das cultivares, e a GGE (genótipo e interação genótipo x ambiente) para avaliar a adaptabilidade e a estabilidade das cultivares nas diferentes épocas de semeadura. Em ambos os anos agrícolas, as semeaduras em 15/10 e 15/11 maximizaram o número de vagens por planta, o número de grãos por vagem, a estatura das plantas, o número de ramos, a massa de mil sementes e, consequentemente, a produtividade de grãos. As cultivares de ciclo médio ou precoce com porte elevado são mais adequadas para semeaduras tardias. The objective of this work was to evaluate the effect of sowing dates on the agronomic performance of soybean cultivars in São Domingos, SC, Brazil, and to indicate stable and adapted cultivars for each sowing date. The experiment was carried out during two crop years (2008/2009 and 2009/2010), using six cultivars and four sowing dates (10/15, 11/15, 12/15, and 1/15), in a randomized complete block design, with three replicates and a usable plot area of 3.6 m². The AMMI (additive main effects and multiplicative interaction analysis) method was used to evaluate the yield performance of the cultivars, and the GGE (genotype and genotype-by-environment) method to evaluate the adaptability and stability of the cultivars in each sowing date. In both crop years, the sowings on 10/15 and 11/15 maximized the number of pods per plant, the number of grains per pod, plant height, the number of branches, the weight of a thousand seeds, and, consequently, grain yield. Medium or early cycle cultivars, with high plant height, are more adequate for late sowing.

Published
2012

8. Agronomic performance of wheat cultivars in response to nitrogen fertilization levels - doi: 10.4025/actasciagron.v34i3.14468

Author

Benin, Giovani, Bornhofen, Elesandro, Beche, Eduardo, Pagliosa, Eduardo Stefani, Silva, Cristiano Lemes da, and Pinnow, Cilas

Subjects
AMMI, grain yield, food and beverages, GGE biplot, Triticum aestivum L
Abstract

The release of wheat cultivars with different nutritional demands and yield potential hinders generalized recommendations for nitrogen fertilization. This study was designed to evaluate the effects of different nitrogen fertilization levels (0, 60, 120 and 180 kg ha-1 of N) on the agronomic performance of six wheat cultivars (Triticum aestivum L.) in two harvests. A randomized block factorial design with three replications was used. The response to fertilization levels was evaluated through AMMI (Additive Main effects and Multiplicative Interaction) and GGE (Genotype main effects and Genotype x Environment interaction) biplot graphic methodologies and polynomial regression. There was genetic variability in response to nitrogen fertilization in the cultivars studied. The biggest increases in yield were observed under a more suitable water regime. The higher performance of yield components was associated with higher nitrogen fertilization levels.

Published
2011

9. Statistical methods to study adaptability and stability of wheat genotypes.

Author

Bornhofen, Elesandro, Benin, Giovani, Storck, Lindolfo, Guilherme Woyann, Leomar, Duarte, Thiago, Giovane Stoco, Matheus, and Volmir Marchioro, Sergio

Subjects
WHEAT yields, CROP yields, RANK correlation (Statistics), GENOTYPES, GENOTYPE-environment interaction
Abstract

The sensitivity of wheat crop to environmental variations frequently results in significant genotype (G) x environment (E) interaction (GEI). We compared statistical methods to analyze adaptability and stability of wheat genotypes in value for cultivation and use (VCU) trials. We used yield performance data of 22 wheat genotypes evaluated in three locations (Guarapuava, Cascavel, and Abelardo Luz) in 2012 and 2013. Each trial consisted of a complete randomized block design with three replications. The GEI was evaluated using methodologies based on mixed models, analysis of variance, linear regression, multivariate, and nonparametric analysis. The Spearman's rank correlation coefficient was used to verify similarities in the genotype selection process by different methodologies. The Annicchiarico, Lin and Binns modified methodologies, as well as the Harmonic Mean of the Genetic Values (HMGV) allowed to identify simultaneously highly stable and productive genotypes. The grain yield is not associated with Wricke, Eberhart and Russell stability parameters, scores of the first principal component of the AMMI1 method, and GGE biplot stability, indicating that stable genotypes are not always more productive. The data analyzed in this study showed that the AMMI1 and GGE biplot methods are equivalent to rank genotypes for stability and adaptability. [ABSTRACT FROM AUTHOR]

Published
2017
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10. Genetic gain in yield and changes associated with physiological traits in Brazilian wheat during the 20th century.

Author

Beche, Eduardo, Benin, Giovani, da Silva, Cristiano Lemes, Munaro, Lucas Berger, and Marchese, José Abramo

Subjects
*WHEAT, *WHEAT varieties, *WHEAT yields, *CHLOROPHYLL, *PHYSIOLOGY, WHEAT genetics
Abstract

The objective of this study was to characterize physiologically wheat cultivars released in different decades and identify selection criteria for the continued genetic progress in Brazil. Ten cultivars released from 1940 up to 2009 were tested during 2010 and 2011 crop seasons. The following traits were evaluated: grain yield (GY), thousand-kernel weight (TKW), grain number per m −2 (GN), plant height (PH), harvest index (HI), above-ground biomass (BIO), relative Chlorophyll content and leaf gas exchanges. The increase in grain yield was 29 kg ha −1 yr −1 a genetic gain of 0.92%, annually. Grain yield improvement was largely associated with HI (0.94 ** ), number of grains m −2 (0.93 ** ), BIO (0.88 ** ) and reduced PH (−0.93 ** ). The post-anthesis Chlorophyll content, stomatal conductance and pre/post-anthesis photosynthetic rate were positively correlated with GY. Genetic gains of Brazilian wheat are mainly related to the increases of HI, GN, and BIO. These improvements were achieved by reducing PH and raising gas exchanges and chlorophyll content. [ABSTRACT FROM AUTHOR]

Published
2014
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11. Agronomic performance of wheat cultivars in response to nitrogen fertilization levels.

Author

Benin, Giovani, Bornhofen, Elesandro, Beche, Eduardo, Pagliosa, Eduardo Stefani, Da Silva, Cristiano Lemes, and Pinnow, Cilas

Subjects
*WHEAT, *CULTIVARS, *NITROGEN, *HARVESTING, *GENETICS
Abstract

The release of wheat cultivars with different nutritional demands and yield potential hinders generalized recommendations for nitrogen fertilization. This study was designed to evaluate the effects of different nitrogen fertilization levels (0, 60, 120 and 180 kg ha-1 of N) on the agronomic performance of six wheat cultivars (Triticum aestivum L.) in two harvests. A randomized block factorial design with three replications was used. The response to fertilization levels was evaluated through AMMI (Additive Main effects and Multiplicative Interaction) and GGE (Genotype main effects and Genotype x Environment interaction) biplot graphic methodologies and polynomial regression. There was genetic variability in response to nitrogen fertilization in the cultivars studied. The biggest increases in yield were observed under a more suitable water regime. The higher performance of yield components was associated with higher nitrogen fertilization levels. [ABSTRACT FROM AUTHOR]

Published
2012
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12. Characterization of brazilian wheat cultivars in terms of nitrogen use efficiency.

Author

da Silva, Cristiano Lemes, Benin, Giovani, Bornhofen, Elesandro, Todeschini, Matheus Henrique, Dallo, Samuel Cristian, and Scarparo Sassi, Luiz Henrique

Subjects
WHEAT varieties, NITROGEN, AGRICULTURE, NEAR infrared spectroscopy, PLANT proteins
Abstract

Copyright of Bragantia is the property of Instituto Agronomico de Campinas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2014
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13. Qualidade industrial do trigo em resposta à adubação verde e doses de nitrogênio.

Author

Pinnow, Cilas, Benin, Giovani, Viola, Ricardo, da Silva, Cristiano Lemes, Gutkoski, Luiz Carlos, and Cassol, Luís César

Subjects
GREEN manuring, GREEN manure crops, CORN research, WHEAT, CROP yields
Abstract

Copyright of Bragantia is the property of Instituto Agronomico de Campinas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2013
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14. Análises biplot na avaliação de cultivares de trigo em diferentes níveis de manejo.

Author

Benin, Giovani, Pinnow, Cilas, Da Silva, Cristiano Lemes, Pagliosa, Eduardo Stefani, Beche, Eduardo, Bornhofen, Elesandro, Munaro, Lucas Berger, and Silva, Raphael Rossi

Subjects
WHEAT, GRAIN, PLANT fertilization, CULTIVARS, CROP management
Abstract

Copyright of Bragantia is the property of Instituto Agronomico de Campinas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2012
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15. MÉTODOS PARA ANÁLISE DE ADAPTABILIDADE E ESTABILIDADE EM CULTIVARES DE TRIGO NO ESTADO DO PARANÁ.

Author

DE FRANCESCHI, LUCIA, BENIN, GIOVANI, MARCHIORO, VOLMIR SÉRGIO, MARTIN, THOMAS NEWTON, SILVA, RAPHAEL ROSSI, and DA SILVA, CRISTIANO LEMES

Subjects
WHEAT, CULTIVARS, GENOTYPE-environment interaction, CROP yields
Abstract

Copyright of Bragantia is the property of Instituto Agronomico de Campinas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2010
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