Direct effects on scenarios and types of path analyses in corn hybrids

Toebe, Marcos; Filho, Alberto Cargnelutti; Storck, Lindolfo; Lúcio, Alessandro Dal’Col

doi:10.4238/gmr16019529

Cited by 4 publications

(4 citation statements)

References 16 publications

(33 reference statements)

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“…1 Heritability impacts of traits on the selection have been studied, showing that predictive models work relatively well, even for low-heritability traits (TOEBE et al, 2017). Grattapaglia and Resende (2011) reported that the accuracy increased by only 10-20% as the heritability increased from 0.2 to 0.6, regardless of the population size, indicating greater individual selection gains even for low-heritability traits.…”

Section: Resultsmentioning

confidence: 99%

“…Grattapaglia and Resende (2011) reported that the accuracy increased by only 10-20% as the heritability increased from 0.2 to 0.6, regardless of the population size, indicating greater individual selection gains even for low-heritability traits. According to Toebe et al (2017), tests with high selection accuracy present lower residual variance and greater genetic variance.…”

Section: Resultsmentioning

confidence: 99%

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Selection indexes and principal components for agronomic and bromatological traits in forage cactus

2023

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The objective of the present work was to compare selection indexes focused on the selection of forage cactus (Opuntia ficus-indica) accessions at initial generations. Sixty-five accessions from different locations in the semiarid region of the state of Bahia, Brazil, were evaluated in a randomized complete block design with three replications. Agronomic and bromatological traits were evaluated. The genetic parameters were predicted by using mixed models (REML/BLUP). The linear correlation degree between variables was estimated through Pearson's correlation analysis. Selection gains were predicted using four selection indexes: Smith-Hazel index, with two combinations of economic weights; rank sum index of Mulamba and Mock; and Elston's multiplicative index. The selection intensity applied was 30%, which allowed the selection of the 20 best accessions. The analysis of deviance showed significant effect for all traits. The estimate of genetic parameters evidenced the existence of genetic variability for the O. ficus-indica accessions. The Smith-Hazel index (combination 1) was important for primary (fresh weight and cladode dry weight) and bromatological traits (acid detergent fiber and neutral detergent fiber), expressing higher selection gains than the other indexes. The rank sum and multiplicative indexes resulted in selection gains for most evaluated traits. The results of accessions 2, 4, 5, 7, 9, 11, 14, 15, 18, 26, 27, 34, 37, 38, 39, 41, 45, 49, 51, 52, 53, and 58 were promising for their inclusion in breeding programs, as they were selected by at least two of the four selection indexes used.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Selection indexes and principal components for agronomic and bromatological traits in forage cactus

2023

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“…No studies with rye crop in which diagnoses were made by CN or DET were found. In other crops, low degree of multicollinearity was observed in sunflower traits (CN = 9.64) (FOLLMANN et al, 2019) and severe multicollinearity was observed in morphological traits of showy rattlepod (CN = 1,113.08) (TOEBE et al, 2017a) and maize hybrids (CN > 1,000) (TOEBE; CARGNELUTTI FILHO, 2013;OLIVOTO et al, 2017b;TOEBE et al, 2017b). The DET was used for the diagnosis in maize traits using all observations (DET = 3.02×10 -6 ) and mean values of plots (DET = 1.26×10 -7 ) (OLIVOTO et al, 2017b).…”

Section: Resultsmentioning

confidence: 99%

Sample size to evaluate the degree of multicollinearity in rye morphological traits

et al. 2023

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Investigation of multicollinearity allows parameters in multivariate analysis to be estimated with higher precision and with biological interpretation. In order to generate reliable estimates of the degree of multicollinearity, it is necessary to use appropriate sample size. Thus, the objectives of this study were to determine the sample size (number of plants) necessary to estimate the indicators of the degree of multicollinearity - condition number (CN), correlation matrix determinant (DET), and variance inflation factor (VIF) - in morphological traits of rye and to verify the variability of the sample size between the indicators. Five and three uniformity trials were conducted with the cultivars BRS Progresso and Temprano, respectively. Eight morphological traits were evaluated in 780 plants in eight trials. For each trial, 22 cases were selected among the 28 formed by the combination of eight traits, taken six by six, totaling 176 cases. In each case, 197 sample sizes were planned (20, 25, 30, ..., 1,000 plants) and in each size 2,000 resampling procedures with replacement were performed, CN, DET, and VIF were determined and the average among 2,000 estimates was calculated. For each case and indicator (CN, DET, and VIF), the sample size was determined through three models: modified maximum curvature method and linear and quadratic segmented models with plateau response. There is variability between sample sizes between indicators, with larger sample sizes required for DET, followed by CN and VIF, in that order, with at least 180, 116 and 85 plants, respectively.

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“…(1) MFP: massa fresca de parte aérea; MSP: massa seca de parte aérea da planta; NSE: número de espiguetas espiga -1 ; NGE: número de grãos espiga -1 ; NGS: número de grãos espigueta -1 ; MGP: massa de grãos planta -1 ; M100: massa média de 100 grãos, em gramas. (TOEBE et al, 2017c).…”

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Tamanho de amostra para avaliação do grau de multicolinearidade em caracteres produtivos de centeio

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The objectives of this work were to determine the sample size (number of plants) necessary to estimate the indicators of the of multicollinearity degree - condition number (CN), determinant of the correlation matrix (DET), and variance inflation factor (VIF) - in productive traits of rye and to verify the variability of the sample size between the indicators. Five and three uniformity trials were conducted with the cultivars BRS Progresso and Temprano, respectively, and seven productive traits were evaluated in 780 plants. Twenty-one cases were obtained from seven traits, combined five to five. In each case, 197 sample sizes were planned (20, 25, 30, ..., 1,000 plants) and in each size 2,000 resampling were performed, with replacement. For each resample the CN, DET and FIV were determined and the average among 2,000 estimates of each indicator of the multicollinearity degree was calculated. Then, for each case and indicator, the sample size was determined through three models: models of maximum modified curvature, segmented linear with plateau response, and segmented quadratic with plateau response. There was superiority the quadratic model segmented with plateau in adjusting the degree of multicollinearity according to the sample size for all indicators. There is a need greater sample size to detect multicollinearity when diagnosed by DET and for sizes larger than 101, 258 and 102 plants when diagnosing for the number of conditions, determinant and inflation factor performed, respectively.

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Direct effects on scenarios and types of path analyses in corn hybrids

Cited by 4 publications

References 16 publications

Selection indexes and principal components for agronomic and bromatological traits in forage cactus

Selection indexes and principal components for agronomic and bromatological traits in forage cactus

Sample size to evaluate the degree of multicollinearity in rye morphological traits

Tamanho de amostra para avaliação do grau de multicolinearidade em caracteres produtivos de centeio

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