Indexes in the comparison of pre-commercial genotypes of common bean

Marinho, Caillet Dornelles; Gravina, Geraldo de Amaral; Sebastião, Lanusse Cordeiro de Araújo; Almeida, Ney Costa de; Daher, Rogério Figueiredo; Brasileiro, Bruno Portela; Paula, Thiago Otávio Mendes de; Júnior, Antônio Teixeira do Amaral

doi:10.1590/0103-8478cr20121155

Cited by 9 publications

(13 citation statements)

References 12 publications

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“…Jost (2011), studying the efficiency of the different selection indexes in common bean had different results to this one since the index sum of ranks showed inferior performance to the classical and multiplicative indexes. Marinho et al (2014), comparing some selection indexes in common bean pre-commercial genotypes, also found lower efficiency for the index sum of ranks when compared to other selection indexes evaluated.…”

Section: Resultsmentioning

confidence: 86%

Research Article Genotypic gain with simultaneous selection of production, nutrition, and culinary traits in cowpea crosses and backcrosses using mixed models.

Oliveira¹,

Rocha²,

Damasceno‐Silva³

et al. 2017

Genet. Mol. Res.

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ABSTRACT. The aim of this study was to estimate the genotypic gain with simultaneous selection of production, nutrition, and culinary traits in cowpea crosses and backcrosses and to compare different selection indexes. Eleven cowpea populations were evaluated in a randomized complete block design with four replications. Fourteen traits were evaluated, and the following parameters were estimated: genotypic variation coefficient, genotypic determination coefficient, experimental quality indicator and selection reliability, estimated genotypic values -BLUE, genotypic correlation coefficient among traits, and genotypic gain with simultaneous selection of all traits. The genotypic gain was estimated based on tree selection indexes: classical, multiplicative, and the sum of ranks. The genotypic variation coefficient was higher than 2 D.G. Oliveira et al. Genetics and Molecular Research 16 (3): gmr16039736the environmental variation coefficient for the number of days to start flowering, plant type, the weight of one hundred grains, grain index, and protein concentration. The majority of the traits presented genotypic determination coefficient from medium to high magnitude. The identification of increases in the production components is associated with decreases in protein concentration, and the increase in precocity leads to decreases in protein concentration and cooking time. The index based on the sum of ranks was the best alternative for simultaneous selection of traits in the cowpea segregating populations resulting from the crosses and backcrosses evaluated, with emphasis on the F 4 BC 12 , F 4 C 21 , and F 4 C 12 populations, which had the highest genotypic gains.

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Section: Resultsmentioning

confidence: 86%

Research Article Genotypic gain with simultaneous selection of production, nutrition, and culinary traits in cowpea crosses and backcrosses using mixed models.

Oliveira¹,

Rocha²,

Damasceno‐Silva³

et al. 2017

Genet. Mol. Res.

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“…The measured traits were also subjected to correlation analysis following the method described by Snedecor and Cochran (1987). Trait relationships with yield and individual inter-relationships were considered and traits optimised to a maximum (Marinho et al 2014) or minimum depending on their correlation with yield ( Fig. 1).…”

Section: Chickpea Ideotype Developmentmentioning

confidence: 99%

Can the development of drought tolerant ideotype sustain Australian chickpea yield?

et al. 2019

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Terminal drought is a major problem in many areas where chickpea is grown on stored soil moisture. This is exacerbated by the lack of a targeted breeding approach focusing on key traits contributing to yield formation under water-limited conditions. There is no study to develop a chickpea ideotype and test it against commercial varieties under various management systems across the Australian grain belt. This study proposed a chickpea ideotype that can be grown in water deficit areas and compared its performance with commercial chickpea genotypes across the Australian grain belt. Important traits for ideotype construction and breeding were identified and tested against selected commercial varieties in silico in the Australian grain belt using the APSIM crop model. The key phenological, morphological and physiological traits were determined in the field at the University of Sydney's IA Watson Grains Research Centre near Narrabri for ideotype targeting. Five commercial chickpea genotypes (Sonali, PBA Hattrick, Kyabra, Tyson and Amethyst) were selected for evaluation against the chickpea ideotype. The constructed chickpea ideotype showed 76% resemblance to Sonali which performed well under water limited conditions. Simulated yield ranged from 760 to 3902 kg/ha across the Australian grain belt, with consistently higher yield in the ideotype compared with the commercial cultivars. The growing environments were grouped into three major clusters using the soil water deficit method with varying water stress levels. It is evident that grain filling is the most critical stage where soil moisture deficit caused chickpea yield losses up to 16.5% in the present study. By incorporating key target traits and targeting the right environment, chickpea yields can be sustained in the Australian grain belt or in an area having similar agro-ecological characteristics.

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“…There are several notable non-parametric indexes: the multiplicative index proposed by Elston (1963), the use of distance to classify genotypes in the function of an ideal genotype (ideotype), described by Schwarzbach (1972) and cited by Wricke and Weber (1986), and the sum of ranks index described by Mulamba and Mock (1978). These indexes have been applied to the selection of superior inbred lines of cowpea (BERTINI et al, 2010), snap bean (MARINHO et al, 2014), common bean (MAZIERO et al, 2015), popcorn (VITTORAZZI et al, 2013), and soybean (BÁRBARO et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…A possible limitation to the use of these methods is that it is not possible to apply acceptable minimum values to each trait, or use means tests to give higher statistical precision to the results (MARINHO et al, 2014). Such parameters are applied to the cultivar selection index method proposed by Garcia (1998), where the main steps are average grouping (each genotype is represented by the average of its group), definition of minimum acceptable levels for each trait, definition of ideotype and Euclidean distance…”

Section: Introductionmentioning

confidence: 99%

Comparison of non-parametric indexes to select soybean genotypes obtained by recurrent selection

Freiria

Perini

Zeffa

et al. 2019

SCA

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In the final steps of a breeding program, it is necessary to evaluate several traits, which makes it difficult to select the superior genotypes. This study aimed to compare nonlinear indexes in the selection of superior soybean inbred lines obtained by recurrent selection. The experiment was carried out in Londrina, Paraná State, Brazil. During the 2010/11 and 2011/12 seasons, 67 soybean inbred lines and two commercial controls (BMX Potência RR and NK 7059 RR) were evaluated. The experimental design was a randomized complete block with three replicates. The evaluated traits were: days to maturity, agronomic value, lodging, first pod insertion height, and grain yield. A combined analysis of variance for seasons was performed and the sum of ranks index, ideotype distance index, and cultivars selection index were applied. All traits were significant for the genotypic source of variation and showed complex genotype × environment interactions. The selection indexes were consistent with each other. The ideotype and cultivar selection index showed higher concordance on indication of 15 superior inbred lines with a coefficient of coincidence of 80%. The inbred lines SR-03, SR-12, SR-22, SR-41, SR-49, SR-55, SR-61, and SR-62 were indicated for all indexes and are therefore considered superior to other inbred lines.

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Indexes in the comparison of pre-commercial genotypes of common bean

Cited by 9 publications

References 12 publications

Research Article Genotypic gain with simultaneous selection of production, nutrition, and culinary traits in cowpea crosses and backcrosses using mixed models.

Research Article Genotypic gain with simultaneous selection of production, nutrition, and culinary traits in cowpea crosses and backcrosses using mixed models.

Can the development of drought tolerant ideotype sustain Australian chickpea yield?

Comparison of non-parametric indexes to select soybean genotypes obtained by recurrent selection

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