2017
DOI: 10.4025/actascianimsci.v39i2.32915
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<b>Repeatability, number of harvests, and phenotypic stability of dry matter yield and quality traits of Panicum maximum jacq.

Abstract: ABSTRACT. Selection of superior forage genotypes is based on agronomic traits assayed in repeated measures. The questions are how repeatable the performance of individual genotypes is and how many harvests are needed to select the best genotypes. The objectives were to estimate repeatability coefficients of dry matter yield (DMY) and forage quality, their phenotypic stability and the number of harvests needed for an accurate selection. Two randomized complete block design experiments data with 24 genotypes eac… Show more

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Cited by 7 publications
(7 citation statements)
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References 8 publications
(11 reference statements)
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“…The heritability of the nutritional traits varied from low (0.06), obtained for SIL_S, to moderate (0.32), obtained for OM_L. This result also reinforces the necessity of more harvests for the efficient selection of superior genotypes for nutritional traits (Fernandes et al, 2017). Traits IVD_L and IVD_S presented the same standard as the crude protein, with the H² of the stem being higher than that of the leaf (Table 1).…”
Section: Qtls For Agronomic and Nutritional Traitssupporting
confidence: 55%
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“…The heritability of the nutritional traits varied from low (0.06), obtained for SIL_S, to moderate (0.32), obtained for OM_L. This result also reinforces the necessity of more harvests for the efficient selection of superior genotypes for nutritional traits (Fernandes et al, 2017). Traits IVD_L and IVD_S presented the same standard as the crude protein, with the H² of the stem being higher than that of the leaf (Table 1).…”
Section: Qtls For Agronomic and Nutritional Traitssupporting
confidence: 55%
“…In a selection study of U. decumbens and U. humidicola, Figueiredo et al (2019) identified a significant Genotype x Harvest Interaction (GHI) effect (p<0.05) for different agronomic and nutritional traits, which reflect differences in the relative performances of genotypes across harvests. GHI also has been reported as significant in M. maximus, and the average number of harvests needed for a reliable selection of nutritional traits, such as OM and CP, would be 3 and 5 at accuracy levels of 0.80 and 0.85, respectively (Fernandes et al, 2017). Thus, GHI directly affects the selection of the genotypes and further studies with more harvests are needed to consolidate our results about putative QTLs to nutritional traits.…”
Section: Qtls For Agronomic and Nutritional Traitsmentioning
confidence: 77%
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“…According to the authors, in general, variations in the estimate of the repeatability coefficient indicate the need to use the several methods available to obtain an accurate range within which, more likely, the actual value for this parameter is found. The same response was also observed by Cargnelutti Filho et al (2004), Braz et al (2015b) and Fernandes et al (2017) in P. maximum. Braz et al (2015b) highlighted a large discrepancy between methods, which was attributed to the bias of the principal component analysis methods when the actual value of the coefficient approaches zero (Mansour et al, 1981).…”
Section: S%supporting
confidence: 83%
“…These results indicate that TDM evaluation requires a smaller number of repeated measures for a good level of reliability in the prediction of the response and identification of superior genotypes. Fernandes et al (2017), estimating repeatability coefficients of TDM production in 24 genotypes of P. maximum, in 12 harvests, observed values varying from 0.259 to 0.413, by the ANOVA and PCCOV methods, respectively. This amplitude was greater than that observed in this paper.…”
Section: S%mentioning
confidence: 98%