Analysis of direct and indirect selection and indices in soybean segregating populations

Costa, Maria Kátia Matiotti Da; Mauro, Antônio Orlando Di; Unêda-Trevisoli, Sandra Helena; Arriel, N. H. C.; Bárbaro, Ivana Marino; Silveira, Gustavo Dias da; Muniz, Franco Romero Silva

doi:10.12702/1984-7033.v08n01a07

Cited by 20 publications

(18 citation statements)

References 9 publications

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“…Likewise, the same result was reported when using families of other crops such as popcorn (Amaral Junior et al 2010) and wheat (Cargnin et al 2007). Moreover, Costa et al (2008) reported high genetic gains by selection index in 32 soybean families using SD as economic weight.…”

Section: Resultssupporting

confidence: 70%

Selection among and within full-sib families of elephant grass for energy purposes

Silva

Daher

Menezes

et al. 2018

Crop Breed. Appl. Biotechnol.

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Pennisetum purpureum Schum. has been a key alternative as an energy source in Brazil because of its higher dry matter accumulation and fiber content. This research aimed to select superior individuals of P. purpureum for energy purposes using among-and-within family selection. The study was carried out in Campos dos Goytacazes-RJ (Brazil), using eight full-sib families. Plants were individually assessed during two pasture cuttings, one in 2014, and another in 2015. The dry matter production (DMP) was correlated with the number of tillers, stem diameter, plant height, and neutral detergent fiber content. Plant selection criteria in both cuts were through direct and indirect selections, and Smith and Hazel index. A joint analysis of variance showed significant differences for all five traits assessed in both cuts. The results achieved with Smith and Hazel index were promising for simultaneous selection of the evaluated traits, favoring selection of superior families and individuals them.

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Section: Resultssupporting

confidence: 70%

Selection among and within full-sib families of elephant grass for energy purposes

Silva

Daher

Menezes

et al. 2018

Crop Breed. Appl. Biotechnol.

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“…Selection-based index is another approach, certainly complex, but can avoid the limits of the single-trait selection, particularly the undesirable between-trait relations that present an additional nuisance in breeders' work [11]. Selection-based index approach targets the simultaneous improvement of several traits at the same time, including the grain yield [12,13]. The indices allow the use of a single value in the selection process, since the analysis is carried out by means of linear combinations of phenotypic data of different traits of agronomic interest with the genetic properties of a population [14].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Direct and Indirect Selection and Indices in Bread Wheat (Triticum aestivumL.) Segregating Progeny

Fellahi

Hannachi

Bouzerzour

2018

International Journal of Agronomy

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Three selection methods including direct and indirect selection along with selection index based on the phenotypic values of eleven traits of agronomic interest were assessed for their application in F4 bread wheat progenies. Significant genetic variation existed among parents and crosses for the traits measured. The following were the most efficient indices for simultaneous selection of superior lines for yield and its components: base index of Williams, followed by the sum of ranks index of Smith and Hazel. The selection-based index provided the highest grain yield gains as compared to the other selection criteria, except for flag leaf area, indicating that the direct and indirect monotrait selection were not appropriate in the situation analyzed in this work. PCA identified Ain Abid × Mahon-Demias, Ain Abid × Rmada, and Ain Abid × El-Wifak as the most promising populations. At 5% selection intensity, the top 30 lines selected were distinguished, in comparison with the standard check Hidhab, by significant improvements in yield and yield components.

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“…In a study on S1 families of sweet corn, Entringer et al (2016) found higher coincidence between Pesek-Baker (1969) and restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) indices (0.75) compared with Smith-Hazel and REML/BLUP (0.70) in terms of 20 superior progenies selected when six traits were simultaneously were selected. The results obtained by Costa et al (2008) indicated that the use of the Smith-Hazel and Pesek-Baker indices was advantageous over direct selection for grain yield in soybean, since the gains were distributed among all traits and classical index of Smith-Hazel had a slight advantage over Pesek-Baker. The relative efficiency of index selection depends upon the estimate of heritability and genetic and phenotypic correlations between traits (Lin 1978). Estimated repeatability indicated that grain yield had low heritability compared to other traits i.e.…”

Section: Discussionmentioning

confidence: 96%

“…Index selection is one of the fundamental methods for the genetic improvement of traits in crop plants. A theory which introduced independently by Smith (1936) in plants and Hazel (1943) in animals is now known as Smith-Hazel index and has been demonstrated to be more reliable than independent culling levels (ICL) and tandem selection (TS) methods in terms of maximizing genetic gain in a crop population (Cotterill 1985;Costa et al 2008). Hazel and Lush (1942) showed that this approach is the most effective as compared with ICL and TS selection methods for independent traits while having at least the same efficiency in the case of correlated traits (Young 1961).…”

Section: Introductionmentioning

confidence: 99%

Construction and Efficiency of Selection Indices in Wheat (Triticum aestivum L.) under Drought Stress and Well-Irrigated Conditions

Ghaed-Rahimi

Heidari

Dadkhodaie

2017

Plant Breed. Biotech.

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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT Aggregate selection helps making selection decisions for improved profitability and permits to exploit information on correlated traits to improve accuracy. In the present study, the efficiency of trait selection was assessed by the Smith-Hazel (SHI) and the Pesek-Baker (PBI) models in 35 wheat genotypes under drought stress at heading and well-irrigated conditions at the Research Farm of Shiraz University, Iran in 2011 and 2012 years. The analysis of correlated response (CR) revealed that thousand grain weight (TGW) with CR = 24.05 (in 2011) and 9.15 (in 2012) and harvest index (HI) with CR = 18.37 (in 2011) and 9.08 (in 2012) had higher indirect effects on grain yield (GY) increase under drought stress. In both years, biological yield (BY), grain number/spike (GN), TGW, and GY had the highest genetic gain (ΔG) in SHI model. The top ten landraces in PBI for the trials in 2011 were also placed in the top rankings for grain yield under drought stress conditions. These results and estimation of the efficiency of selection (ΔH) revealed that PBI (ΔH = 19.95 and 16.5 in the first and 11.15 and 11.06 in the second year) was more efficient than SHI (ΔH = 9.58 and 8.97 in the first and 9.74 and 8.59 in the second year) in view of identifying superior genotypes based on aggregate trait selection. Overall, repeatability estimates for grain yield (33%-57.8%) was relatively low showing that individual plant selection has low efficiency for wheat improvement whilst aggregate trait selections leads to relatively high genetic gain (1.63-2.75) for grain yield.

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Analysis of direct and indirect selection and indices in soybean segregating populations

Cited by 20 publications

References 9 publications

Selection among and within full-sib families of elephant grass for energy purposes

Selection among and within full-sib families of elephant grass for energy purposes

Analysis of Direct and Indirect Selection and Indices in Bread Wheat (Triticum aestivumL.) Segregating Progeny

Construction and Efficiency of Selection Indices in Wheat (Triticum aestivum L.) under Drought Stress and Well-Irrigated Conditions

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