Selection indexes for agronomic and chemical traits in segregating sweet corn populations

Silva, Marina Freitas e; Maciel, Gabriel Mascarenhas; Finzi, Rafael Resende; Peixoto, Joicy Vitória Miranda; Rezende, Wender Santos; Castoldi, Renata

doi:10.1590/s0102-053620200111

Cited by 8 publications

(4 citation statements)

References 26 publications

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“…Selection can be made optimally by knowing the value of heritability, the correlation between characters, and the direct and indirect effects of a character (Silva et al 2020). The principal component analysis is used to obtain a more effective selection index.…”

Section: Introductionmentioning

confidence: 99%

Selection of doubled haploid black rice lines in advanced yield trial based on multivariate analysis

et al. 2021

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Abstract. Karima AW, Putri RK, Purwoko BS, Dewi IS, Suwarno WB, Kurniawati A. 2021. Selection of doubled haploid black rice lines in advanced yield trial based on multivariate analysis. Biodiversitas 22: 5425- 5431. Research on the development of black rice has not received much attention. The anther culture technique can shorten the plant breeding process and produce doubled haploid (DH) lines. The target of this study was to evaluate DH black rice lines with early maturity, good agronomic performance, and high yields. Twenty-seven doubled haploid lines and three check varieties (Aek Sibundong, Inpari 24, and Jeliteng) were evaluated at two locations (Kediri, East Java, and Bogor, West Java) from January to July 2020. A randomized complete block design was applied to this study with three replicates. The combined analysis results showed that the genotype effect (G) was highly significant (p < 0.01) for all characters. In addition, all characters had a high broad-sense heritability. Characters that were positively correlated with yield based on genotypic and phenotypic correlation were the number of productive tillers, the number of vegetative tillers, panicle length, the number of filled grains, and the number of total grains. The 1000-grains weight and panicle length had a positive and the largest direct effect on yield. Principal component analysis showed that the number of productive tillers and the 1000-grains weight were related to yield. The selection index model that can be formulated is as follows I = (3*0.375*Yield) + (0.723* 1000-grains weight) + (0.280* Number of productive tillers). Based on the selection index, 14 genotypes were selected.

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Section: Introductionmentioning

confidence: 99%

Selection of doubled haploid black rice lines in advanced yield trial based on multivariate analysis

et al. 2021

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“…Due to their high nutrient concentrations, these genotypes are recommended for selection to be used in breeding programs to develop biofortified cultivars. The selection indexes enable the selection of superior genotypes by simultaneously selecting various traits, resulting in more success in selection (Silva et al, 2020). Freitas et al (2022) also identified the best cowpea genotypes based on their nutrient profile (iron, zinc, and protein concentrations) using the nutritional quality index.…”

Section: Resultsmentioning

confidence: 99%

Selection in cowpea genotypes for nutritional traits

Pessoa

Bertini

Silva

et al. 2023

Rev. bras. eng. agríc. ambient.

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Cowpea is a worldwide consumed legume due to its high nutrient concentrations. Selecting genotypes with high nutrient concentrations can contribute to developing biofortified cultivars. This study aimed to evaluate the nutritional potential and indicate genotypes of Vigna unguiculata for genetic improvement based on nutritional traits. Forty-three cowpea genotypes belonging to the Active Germplasm Bank of the Federal University of Ceará were used in the study. The analyses of dry matter, ash, ether extract, proteins, and minerals (phosphorus, potassium, calcium, magnesium, sulfur, sodium, copper, iron, zinc, manganese, and boron) were performed in triplicate. The data were subjected to analysis of variance, means comparison test, genetic parameters, nutritional quality indexes, and the sum of ranks. Genetic variances predominated concerning environmental variation for the nutrient concentrations of cowpea can be transmitted to future generations. The CE-0151, CE-0189, CE-0207, CE-0228, CE-0248, CE-0542, CE-0685, CE-0686, CE-0796, CE-0997, and CE-1002 genotypes are indicated for selection for continuing the biofortified cowpea breeding program.

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“…Peixoto et al (2021) noted that the classical index proposed by Smith and Hazel (SHI) and the sum of ranks index by Mulamba and Mock (MMI) were advantageous to produce sizeable gains distributed among several desired traits of biofortified lettuce, similar to that observed in Guimarães et al (2021) with rice and Ramos et al (2022) with peanut. The selection base WI afforded the highest total gain, desired gains all assessed traits, balanced genetic gains and considerable direct gain on GY of sweet corn (Silva et al, 2020b). In carrot, the genotype-ideotype CI provided sizeable genetic gains with an economic weight equal to the coefficients of genetic variation (Carvalho, 2022).…”

Section: Predicted Selection Gain From Index-based Selectionmentioning

confidence: 97%

Efficiency of index-based selection for potential yield in durum wheat [<em>Triticum turgidum</em> (L.) ssp. <em>turgidum convar. durum</em> (Desf.) Mackey] lines

Hannachi

Fellahi

2023

Ital J Agronomy

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Wheat is a socioeconomically important crop in Algeria. Improving genetic gain of quantitative traits through selection is at the core of every successful breeding program. Selection is usually performed on grain yield, but other agronomically related characteristics can also help increase genetic gain through indirect or multi-trait selection. The objective of this work was to quantify genetic parameters and compare the efficiency of direct, indirect and simultaneous selection methods in terms of predicted genetic values of wheat progenies. For this purpose, 418 F4-derived lines were evaluated for six agronomic traits including heading date, flag leaf area, plant height, number of spikes, thousand kernel weight and grain yield in an augmented block design with three check varieties. Wide genetic variation with moderately high broad-sense heritability were observed for the recorded traits, except for heading date. The results from genetic gain revealed variation in gains for assessed traits and breeding methods employed. The classic index of Smith and Hazel (SHI) demonstrated a similar genetic gain in grain yield compared to gain from direct selection. Generally, the selection-based index showed the highest responses considering all traits simultaneously with a slight inferiority of the SHI index. The coincidence rates among the evaluated indices were higher than those obtained between the measured traits. Based on the comparisons between the selected lines, the SHI index and the selection base index of Williams were similar to grain yield and can reach up to 79.51% coincidence of breeding lines identified by these selection criteria. Breeding lines L252, L34, L24, L130 and L413 were the most common individuals identified according to number of coincidences from the different selection methods used. Of these, L34 and L24, and to a lesser extent L15 can be considered promising wheat lines for improving grain yield.

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Selection indexes for agronomic and chemical traits in segregating sweet corn populations

Cited by 8 publications

References 26 publications

Selection of doubled haploid black rice lines in advanced yield trial based on multivariate analysis

Selection of doubled haploid black rice lines in advanced yield trial based on multivariate analysis

Selection in cowpea genotypes for nutritional traits

Efficiency of index-based selection for potential yield in durum wheat [<em>Triticum turgidum</em> (L.) ssp. <em>turgidum convar. durum</em> (Desf.) Mackey] lines

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