Precisão experimental de ensaios de trigo em regiões homogêneas de adaptação

Benin, Giovani; Storck, Lindolfo; Marchioro, Volmir Sérgio; Franco, Francisco de Assis; Schuster, Ivan

doi:10.1590/s0100-204x2013000400003

Cited by 10 publications

(12 citation statements)

References 16 publications

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“…In experiment 21, despite the differentiation for flowering among common bean genotypes, the experimental precision evaluated by the Fc, h 2 and SA statistics was low. Therefore, the significant effect for genotype does not qualify an experiment as precise, which is in agreement with previous results observed by Benin et al (2013) in wheat cultivar competition experiments. In the present study, experiment 21 presented Fc < 2.00 and SA < 0.70 for flowering.…”

Section: Expsupporting

confidence: 89%

“…The Fc, h 2 and SA statistics, in turn, are obtained according to the genetic variance information (Resende & Duarte, 2007;Cargnelutti Filho et al, 2009). Therefore, they are more suitable for the selection of lines with genetic superiority (Cargnelutti Filho et al, 2009;Benin et al, 2013). In this study, the selection of early common bean lines for flowering was performed with high experimental precision, with h 2 ≥ 49.00%…”

Section: Expmentioning

confidence: 99%

“…The coefficient of experimental variation (CEV) has been widely used in common bean experiments to evaluate the experimental precision of the traits related to earliness and upright plant architecture (Cargnelutti Filho, Storck, & Ribeiro, 2009;Cargnelutti Filho, Ribeiro, & Burin, 2010;Jost, Ribeiro, Rosa, Possobom, & Maziero, 2014;Bertoldo, Coutinho, Pelisser, Favreto, & Silva, 2015;Maziero, Ribeiro, & Facco, 2016;Ribeiro et al, 2016). Nevertheless, the CEV and the least significant difference between the genotype means using Tukey's test (LSD) are not the most adequate statistics to evaluate the genetic superiority of lines in value of cultivation and use (VCU) experiments (Resende & Duarte, 2007;Cargnelutti Filho et al, 2009;Benin, Storck, Marchioro, Franco, & Schuster, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Higher-precision experimental statistics for the selection of early and upright common bean lines

Ribeiro

Steckling

Maziero³

et al. 2019

Acta Sci. Agron.

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The development of early and upright common bean cultivars is necessary to meet the demand of producers. The objectives of this work were to evaluate more precise experimental statistics for the selection of early and upright common bean lines and identify the traits that provide better genetic differentiation between lines. For this purpose, 156 common bean lines of different grain colours were evaluated in 23 experiments carried out in the southern region of Brazil between 1998 and 2015. The traits related to earliness (flowering and cycle) and upright plant architecture (lodging, insertion of the first pod and insertion of the last pod) were evaluated with high experimental precision by determining F-test values for genotype (Fc), heritability (h2), and selective accuracy (SA). In the experiments with Fc ≥ 2.00, h2 ≥ 49.00%, and SA ≥ 0.70, the best genetic differentiation of early common bean lines was performed by the cycle; and the best genetic differentiation of common bean lines with upright plant architecture was carried out by the insertion of the first and the last pod.

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Section: Expsupporting

confidence: 89%

Section: Expmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Higher-precision experimental statistics for the selection of early and upright common bean lines

Ribeiro

Steckling

Maziero³

et al. 2019

Acta Sci. Agron.

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“…Thus, the accuracy is an important tool to inform about the correct ordering of the cultivars for selection purposes and high values of this estimate should be desired within the experiments of breeding programs [13]. It was observed values of accuracy between 63% (rice blast severity) and 98% (days until flowering), showing experimental moderate to high precision, according to [14] [15]. Values already expected, because the accuracy is related to the heritability of the characters, it will be greater when it is heritability, so characters of high heritability as 100-grain weight (g) and days until flowering (days) were those that presented the highest accuracy values.…”

Section: Resultsmentioning

confidence: 99%

Genetic and Phenotypic Parameters in the Selection of Upland Rice Genotypes

Silva¹,

Botelho²,

Rodrigues³

et al. 2017

AJPS

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To assist in upland rice breeding programs, estimated genetic and phenotypic parameters are extremely important in the selection of superior lines. Thus, the objective of this study was estimate the genetic and phenotypic parameters of upland rice lines of the breeding program of UFLA in partnership with Embrapa Arroz e Feijão and Epamig. The experiment was installed in an experimental area of the Department of Agriculture at UFLA. It was evaluated 36 upland rice lines of the preliminary trial of the 2014/15 season, in randomized blocks, with three replications and plots consisted of five rows and each row has four meters. For this, it was evaluated the characters: plant height (cm), yield (kg•ha −1 ), 100-grain weight, days until flowering, percentage of filled grains and rice blast severity. The variance analysis and genetic parameters were estimated using the software SAS. To evaluate the experimental precision was estimated the accuracy, which varied between 63% and 98%, showing experimental precision, moderate to high. The lines differed significantly for all characters, meaning there is genetic variability among genotypes evaluated. With intensity of selection of 10% of lines, it was obtained a genetic gain of 325.29 kg•ha −1 in the character productivity, a plant height (cm) reduction in 5.50 cm, and days until flowering, with a reduction of 9.23 days, with selection of earlier plants. The estimated values for heritability ranged from 38% -96%. Estimates confirm the possible success with the selection of the upland rice lines for these characters.

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“…In Brazil, wheat cultivation is divided into homogeneous adaptation regions and value for cultivation and use regions (VCU regions 1, 2, 3 and 4) (Brasil, 2008). The edaphoclimatic differences among the different VCU regions influence the potential crop yield (Benin et al, 2013a;Munaro et al, 2014) and change the rank orders of genotypes among the tested environments (Silva et al, 2011). In a joint analysis with GEI, some genotypes contributed more to the GEI than others (Yan et al, 2007;Hristov et al, 2010;De Vita et al, 2010;Mohammadi et al, 2011;Araújo et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Strategy for grouping wheat genotypes according to environmental responses in multi-location trials

Storck¹,

Benin²,

Marchioro³

et al. 2016

Aust J Crop Sci

Self Cite

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A better understanding of genotype x environment interactions (GEIs) can improve the selection and recommendation of wheat genotypes that are widely adapted and stable in different environments. The objective of this study was to evaluate a strategy to perform a joint analysis in wheat yield trials with genotypes classified according to their interactions with the environment. Measurements of the adaptability and stability estimates were used in the proposed strategy. We analyzed grain yield data from 367 wheat genotypes in 348 yield trials classified into 58 groups. In each group, 25 genotypes at different numbers of locations were evaluated using data from 2010, 2011 and 2012. Joint analysis of variance was performed for each group to determine the genotype contribution to the GEI. The genotypes were grouped into two classes: genotypes that interacted with the environment and genotypes with no interaction with the environment. An additional joint analysis of variance was performed for each class. Grouping genotypes into different classes provided valuable information concerning the dynamics of the GEI, which could enable plant breeders to maximize the efficiency of selection and offer recommendations for stable and widely adapted genotypes. The highest selective accuracy for the genotype effects was obtained for the joint analysis when the GEI was insignificant. The joint analysis of trials for wheat genotypes that interacted with the environment presented the highest selective accuracy for the GEI effect and a reduced selective accuracy for the genotype effect.

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Precisão experimental de ensaios de trigo em regiões homogêneas de adaptação

Cited by 10 publications

References 16 publications

Higher-precision experimental statistics for the selection of early and upright common bean lines

Higher-precision experimental statistics for the selection of early and upright common bean lines

Genetic and Phenotypic Parameters in the Selection of Upland Rice Genotypes

Strategy for grouping wheat genotypes according to environmental responses in multi-location trials

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