Selection indexes in the simultaneous increment of yield components in topcross hybrids of green maize

Candido, Willame dos Santos; Silva, Caíque Machado e; Costa, Maraiza Lima; Silva, Bruna Elaine de Almeida; Miranda, Beatriz Lima de; Pinto, Jefferson Fernando Naves; Reis, Edésio Fialho dos

doi:10.1590/s1678-3921.pab2020.v55.01206

Cited by 11 publications

(7 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Populations I and IV did not show a significant difference at 5% probability level by Tukey test in comparison to the control hybrid AG1051, which confirms the existence of progenies with good production performance that composed these populations and also demonstrates the efficiency of the selection method, based on the Selection Index of Mulamba and Mock (1978), as also observed by Berilli et al (2013), Freitas et al (2013) and Candido et al (2020). This behavior is in line with the prediction of gains, since strategies I and IV showed better gain expectations for traits related to production components.…”

Section: Costa Et Alsupporting

confidence: 61%

Genetic variability and recurrent selection in corn population with potential for green corn production

Costa

Candido

Pinto

et al. 2021

Crop Breed. Appl. Biotechnol.

Self Cite

View full text Add to dashboard Cite

The present study selected progenies, aiming at the production of green corn, by methods of intrapopulation recurrent selection with subsequent recombination, generating open-pollinated populations. To this end, in the 2017/2018 second season, progenies from the PMVJ01 population (originated from the recombination of progenies of the TG-02R2 x AG1051 cross) were evaluated, using PMVJ01 and the hybrid AG1051 as controls. The following parameters were evaluated: flowering, heights, green ear yield, husk cover, ear diameter and length, mass yield, ear shape, number of rows on the ear, alignment of rows, color of kernels, and husk width and length. Genetic parameters were estimated, and the gain was predicted with the selection of 20% of the progenies, using the index of Mulamba and Mock in four selection procedures and a fifth by multivariate method. Genetic variability was found in the population, which allows advances in the selection process. After recombination, two of the populations generated showed potential for use as open-pollinated cultivar.

show abstract

Section: Costa Et Alsupporting

confidence: 61%

Genetic variability and recurrent selection in corn population with potential for green corn production

Costa

Candido

Pinto

et al. 2021

Crop Breed. Appl. Biotechnol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the literature, many indices have been proposed for the selection of promising genotypes in different environments to obtain stable, high-yielding and stress-tolerant genotypes (Cruz et al, 2014). Development of a selection based-index can be performed using various methods to assist breeders for simultaneous selection of multiple traits related to grain yield that aims to obtain high-genetic gains in each selection cycle (Candido et al, 2020). Among the available indices, we cite the classical index proposed by Smith (1936) and Hazel (1943) and the selection base index of Williams (1962) as parametric indices.…”

Section: Highlightsmentioning

confidence: 99%

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

View full text Add to dashboard Cite

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.

show abstract

“…To obtain more reliable gains with selection, tools that allow inferences about genotypic values should be chosen, which allows the breeder to select genotypes more accurately (Candido et al, 2020b). In this sense, the use of REML/BLUP methodology can be considered an appropriate procedure, since it allows greater accuracy in estimates of genetic parameters and prediction of genotypic values (Resende, 2016).…”

Section: Introductionmentioning

confidence: 99%

Selection indexes based on genotypic values applied to Brazilian tropical wheat breeding

Casagrande

Mezzomo

Silva

et al. 2022

Agron. Sci. Biotechnol.

View full text Add to dashboard Cite

Although Brazil is one of the main agricultural countries in the world, it is historically an importer of wheat. For this reason, strategies aimed at the expansion of wheat in the country, to areas that are not traditionally producing (warmer), are of paramount importance. In wheat breeding, phenotypic values are usually used in simultaneous selection, however, they do not always correspond with genetic superiority. Therefore, the objective of this work was to evaluate the efficiency of five selection indexes applied to the genotypic values of wheat, the coincidence between the indexes and to select the most promising lines. For this, we evaluated a panel with 41 genotypes of tropical wheat, for the traits: days for flowering, disease note, plant height, hectoliter weight and grain yield. Data were submitted to REML/BLUP analysis to estimate genetic parameters and genotypic values. We applied on the BLUPs the rank summation index, multiplicative index, genotype- ideotype distance index, additive index and FAI-BLUP index. There is a genotypic variation shown by analysis of deviance for all evaluated traits. We presented different estimates of gains from selection according to the selection index applied. We observed higher estimates of gains from selection for additive and genotype-ideotype distance indexes. High similarity was observed in the selection of genotypes through the coefficient of coincidence between the indexes. Eight lines were selected simultaneously by three or more indexes. Lines VI 14047, VI 14774 and VI 14980 showed the best performance among the eight lines evaluated by the Z index.

show abstract

Selection indexes in the simultaneous increment of yield components in topcross hybrids of green maize

Cited by 11 publications

References 24 publications

Genetic variability and recurrent selection in corn population with potential for green corn production

Genetic variability and recurrent selection in corn population with potential for green corn production

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

Selection indexes based on genotypic values applied to Brazilian tropical wheat breeding

Contact Info

Product

Resources

About