Implications of the progeny x environment interaction in selection index involving characteristics of the common bean

Lima, Lidiane Kely de; Ramalho, Magno Antônio Patto; Abreu, A. F. B.

doi:10.4238/2012.september.19.5

Cited by 14 publications

(16 citation statements)

References 9 publications

(12 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The effect of the crop season x treatment interaction, crop season x progenies interaction and crop season x population interaction was significant (p ≤ 0.01) for all traits, indicating the lack of coincidence of behavior among the crop seasons, which is in agreement with order studies (Lima et al, 2012 andTorga et al, 2013).…”

Section: Resultssupporting

confidence: 78%

See 1 more Smart Citation

Breeding common bean populations for traits using selection index

Lima

Abreu

Ferreira

et al. 2015

Sci. agric. (Piracicaba, Braz.)

View full text Add to dashboard Cite

A common bean (Phaseolus vulgaris L.) cultivar must combine desirable genotypes for several traits in order to be accepted by producers and consumers. This study aimed to evaluate selection efficiency when segregating bean populations for traits, by means of a selection index, in order to obtain superior progenies for traits considered. A total of 16 populations from the F 4 and F 5 generations were evaluated in 2011 and 2012, respectively. The traits evaluated were plant architecture, plant disease, grain type and yield. Using standard scores (Z), the sum of the four traits (∑Z) was obtained and, based on this information, the best populations were identified. The evaluation of selection effectiveness was performed on 31 progenies from each population. The 496 progenies plus eight controls were evaluated in the F 5:6 and F 5:7 generations for the same traits in July and November 2012, respectively. The selection, using the index based on the sum of standardized variables (∑Z), was efficient for identifying populations with superior progenies for all the traits considered.

show abstract

Section: Resultssupporting

confidence: 78%

“…Many methods of obtaining a selection index can be found in the literature (Bernardo, 2010), and the sum of standardized variables (∑Z) has been greatly used in common bean crop (Lima et al, 2012). However, this index has not yet been used to select segregating populations that combine various traits.…”

Section: Introductionmentioning

confidence: 99%

Breeding common bean populations for traits using selection index

Lima

Abreu

Ferreira

et al. 2015

Sci. agric. (Piracicaba, Braz.)

View full text Add to dashboard Cite

show abstract

“…For the common bean, elevated selection indices were found for attributes erect plants and smaller lodging (Mendes et al, 2009). Lima et al (2012), using Z index for the common bean, observed that this index contributed, outstandingly, allowing the simultaneous identification of grain yield, architecture and G x E interaction. This also occurred in the corn culture, when selecting corn specific for popcorn and baby corn (DoVale et al, 2011), with sweet potato, associating attributes for human consumption, production of ethanol and animal feeding, reminding that the selection index is efficient in identifying aptitude in sweet potato genotypes (Gonçalves Neto et al, 2011).…”

Section: When Analyzing Interactions T X L and L X Ymentioning

confidence: 99%

Adaptability and stability of soybean cultivars for grain yield and seed quality

et al. 2017

View full text Add to dashboard Cite

ABSTRACT. This study aimed at verifying the adaptability and stability of soybean cultivars, considering the grain yield and quality of seeds, adopting univariate and multivariate approaches. The experiments were conducted in two crops, three environments, in 2013/2014 and 2014/2015 crop seasons, in the county of Inconfidentes, Lavras, and Patos de Minas, in the Minas Gerais State, Brazil. We evaluated 17 commercial soybean cultivars. For adaptability and stability evaluations, the Graphic and GGE biplot methods were employed. Previously, a selection index was estimated based on the sum of the standardized variables (Z index). The data relative to grain yield, mass of one thousand grain, uniformity test (sieve retention), and germination test were standardized (Z ij ) per cultivar. With the sum of Z ij , we obtained the selection index for the four traits evaluated together. In the Graphic method evaluation, cultivars NA 7200 RR and CD 2737 RR presented the highest values for selection index Z. By the GGE biplot method, we verified that cultivar NA 7200 RR presented greater stability in both univariate evaluations, for grain yield, and for selection index Z.

show abstract

“…Nunes et al (2005) used the radar graphic to study the adaptability and stability of cultivars. Since then, the methodology has been applied to multi-trait analyses, including selection indices (Lima et al, 2012(Lima et al, , 2015. Thus, the methodology developed in the present study can be used in multi-trait scenarios, but it could also be applied to a multi-environment scenario.…”

Section: Aimentioning

confidence: 99%

Selection index using the graphical area applied to sugarcane breeding

et al. 2016

View full text Add to dashboard Cite

ABSTRACT. This study aimed to develop a multivariate selection index based on the graphical area of a polygon formed by standardized values, also known as radar chart. This methodology may be used to assist selection of superior genotypes in sugarcane breeding programs. Seven technological traits in 37 sugarcane genotypes were evaluated. An area index (AI) was constructed and the resulting polygon areas were used to rank genotypes under selection. In this study, we propose the use of restricted maximum likelihood to estimate genetic parameters and mixed model equations to predict genotypic and breeding values. The area of each polygon was calculated for phenotypic, genotypic, and estimated breeding values. Thereby, the genotypes with larger area can be selected based on a detailed a posteriori evaluation of the radar charts. The proposed AI can be adjusted based on the breeders' specific interests, it is perfectly useful in other crops, and may also be applied to studies on genotype-environment interactions. Moreover, AI is a powerful tool that can evaluate trait stability of genotypes based on slight differences in the area formed by each genotype. Hence, this method is easy to apply and shows great potential for use in sugarcane breeding programs as well as in other breeding programs.

show abstract

Implications of the progeny x environment interaction in selection index involving characteristics of the common bean

Cited by 14 publications

References 9 publications

Breeding common bean populations for traits using selection index

Breeding common bean populations for traits using selection index

Adaptability and stability of soybean cultivars for grain yield and seed quality

Selection index using the graphical area applied to sugarcane breeding

Contact Info

Product

Resources

About