Skip to main content
Log in

Simultaneous selection in beans for architecture, grain yield and minerals concentration

  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

The objective of this study was to identify the most efficient selection strategy to select common bean lines with erect architecture, high grain yield and high concentration of potassium, phosphorus, zinc and copper in grains. For this purpose, 160 F6:8 common bean lines and nine parents were evaluated in two growing seasons in Santa Maria/RS, Brazil. The tested selection strategies were direct selection, and six different selection indices were used: classic, base, parameters and weight-free, based on desired gains, multiplicative and rank sum. Two economic weights were established: genetic the variation coefficient and 10 % gain in relation to the mean, tested without restriction (weights in all characters) and with restriction (economic weight equal to zero for two minerals). The grain yield was not correlated with the insertion of the first pod; however, it showed low negative correlation with the potassium (r = −0.29), phosphorus (r = −0.41) and zinc concentrations (r = −0.34) at 1 % probability. The direct selection enabled a high selection gain for individual characters, but caused undesirable changes in the other characters under selection. The selection indices were not in agreement in the identification of superior common bean lines and the use restriction was not advantageous in selection. The multiplicative index is the most efficient strategy of simultaneous selection for erect architecture, high grain yield and high potassium, phosphorus and zinc concentrations in grains in common bean lines. L 72, L 97, L 137 and L 146 are the most promising common bean lines and will be selected to compose the preliminary evaluation trial.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Adams MW (1967) Basis of yield component compensation in crop plants with special reference to the field bean, Phaseolus vulgaris. Crop Sci 7:505–510

    Article  Google Scholar 

  • Almeida LM, Viana AP, Amaral Júnior AT, Júnior C, de Barros J (2014) Breeding full-sib families of sugar cane using selection index. Cienc Rural 44:605–611. doi:10.1590/S0103-84782014000400005

    Article  Google Scholar 

  • Bertoldo JG, Barili LD, do Vale NM, Coimbra JLM, Stahelin D, Guidolin AF (2010) Genetic gain in agronomic traits of common bean in the region of Planalto Catarinense. Euphytica 171:381–388. doi:10.1007/s10681-009-0043-0

    Article  Google Scholar 

  • Blair MWJ (2013) Mineral biofortification strategies for food staples: the example of common bean. J Agric Food Chem 61:8287–8294. doi:10.1021/jf400774y

    Article  CAS  PubMed  Google Scholar 

  • Costa MM, Di Mauro AO, Unêda-Trevisoli SH, Arriel NHC, Bárbaro IM, Muniz FRS (2004) Ganho genético por diferentes critérios de seleção em populações segregantes de soja. Pesq Agropec Bras 39:1095–1102. doi:10.1590/S0100-204X2004001100007

    Google Scholar 

  • Cruz CD (1990) Aplicação técnica de análise multivariada no melhoramento de plantas. Monografia, Escola Superior de Agricultura “Luiz de Queiroz”

  • Cruz CD (2013) Genes - a software package for analysis in experimental statistics and quantitative genetics. Acta Sci Agron 35:271–276. doi:10.4025/actasciagron.v35i3.21251

    Article  Google Scholar 

  • Cruz CD, Carneiro PCS (2006) Modelos biométricos aplicados ao melhoramento genético, 2nd edn. Universidade Federal de Viçosa, Viçosa

    Google Scholar 

  • Cruz CD, Regazzi AJ (1997) Modelos biométricos aplicados ao melhoramento genético. Universidade Federal de Viçosa, Viçosa

    Google Scholar 

  • de Magalhães Bertini CHC, de Almeida WS, da Silva APM, Lima JW, Teófilo EM (2010) Análise multivariada e índice de seleção na identificação de genótipos superiores de feijão-caupi. Acta Sci Agron 32:613–619. doi:10.4025/actasciagron.v32i4.4631

    Google Scholar 

  • de Vasconcelos ES, de Ferreira R, Cruz CD, Moreira A, Rassini JB, Freitas AR (2010) Estimativas de ganho genético por diferentes critérios de seleção em genótipos de alfafa. Rev Ceres 57:205–210. doi:10.1590/S0034-737X2010000200011

    Article  Google Scholar 

  • Elston RC (1963) A weight-free index for the purpose of ranking or selection with respect to several traits at a time. Biometrics 19:85–97

    Article  Google Scholar 

  • Falconer DS (1987) Introdução à genética quantitativa. Imprensa Universitária UFV, Viçosa

    Google Scholar 

  • Franco G (2005) Tabela de composição química dos alimentos, 9th edn. Atheneu, Rio de Janeiro

    Google Scholar 

  • Hazel LN (1943) The genetic basis for constructing selection indexes. Genetics 28:476–490

    CAS  PubMed Central  PubMed  Google Scholar 

  • Hazel LN, Lush JL (1942) The efficiency of three methods of selection. J Hered 33:393–399

    Google Scholar 

  • Jost E, Ribeiro ND, Maziero SM, Possobom MTDF, Rosa DP, da Silva Domingues L (2013) Comparison among direct, indirect and index selections on agronomic traits and nutritional quality traits in common bean. J Sci Food Agric 93:1097–1104. doi:10.1002/jsfa.5856

    Article  CAS  PubMed  Google Scholar 

  • Mendes FF, Ramalho MAP, Abreu AFB (2009) Índice de seleção para escolha de populações segregantes de feijoeiro-comum. Pesq Agropec Bras 44:1312–1318. doi:10.1590/S0100-204X2009001000015

    Article  Google Scholar 

  • Miyazawa M, Pavan MA, Muraoka T, Carmo CAFS, Mello WJ (1999) Análises químicas de tecido vegetal. In: Silva FC (ed) Manual de análises químicas de solos, plantas e fertilizantes. EMBRAPA Solos, Brasília, pp 171–223

    Google Scholar 

  • Moura MM, Carneiro PCS, Carneiro JES, Cruz CD (2013) Potencial de caracteres na avaliação da arquitetura de plantas de feijão. Pesq Agropec Bras 48:417–425. doi:10.1590/S0100-204X2013000400010

    Article  Google Scholar 

  • Mulamba NN, Mock JJ (1978) Improvement of yield potential of the Eto Blanco maize (Zea mays L.) population by breeding for plant traits. Egypt J Genet Cytol 7:40–51

    Google Scholar 

  • Oliveira TC (2007) Fósforo: função, metabolismo e recomendações. Rev Dig Nut 1:1–24

    Google Scholar 

  • Pesek J, Baker RJ (1969) Desired improvement in relation to selected indices. Can J Plant Sci 49:803–804

    Article  Google Scholar 

  • Pfeiffer WH, Mcclafferty B (2007) HarvestPlus: breeding crops for better nutrition. Crop Sci 47:S88–S105. doi:10.2135/cropsci2007.09.0020IPBS

    Article  Google Scholar 

  • Poersch NL, Ribeiro ND, Rosa DP, Possobom MTDF (2011) Genetic control of potassium content of common bean seeds. Pesq Agropec Bras 46:626–632. doi:10.1590/S0100-204X2011000600008

    Article  Google Scholar 

  • Poersch NL, Ribeiro ND, Rosa DP, Maziero SM, Jost E (2013) Genetics of the concentration of copper in common bean seeds. Acta Sci Agron 35:301–306. doi:10.4025/actasciagron.v35i3.16520

    Article  Google Scholar 

  • Ribeiro ND, Jost E, Cerutti T, Maziero SM, Poersch NL (2008) Composição de microminerais em cultivares de feijão e aplicações para o melhoramento genético. Bragantia 67:267–273

    Article  CAS  Google Scholar 

  • Ribeiro EH, Pereira MG, de Coelho K, Freitas Júnior SPF (2009) Estimativas de parâmetros genéticos e seleção de linhagens endogâmicas recombinants de feijoeiro comum (Phaseolus vulgaris L.). Rev Ceres 56:580–590

    Google Scholar 

  • Ribeiro ND, Rosa SS, Jost E, Rosa DP, Poersch NL, Maziero SM (2011) Genetics of phosphorus content in common bean seeds. Crop Breed Appl Biotechnol 11:250–256. doi:10.1590/S1984-70332011000300007

    Article  CAS  Google Scholar 

  • Ribeiro ND, Mambrin RB, Storck L, Prigol M, Nogueira CW (2013) Combined selection for grain yield, cooking quality and minerals in the common bean. Rev Cienc Agron 44:869–877. doi:10.1590/S1806-66902013000400025

    Article  Google Scholar 

  • Ribeiro ND, Rodrigues JA, Prigol M, Nogueira CW, Storck L, Gruhn EM (2014) Evaluation of special grains bean lines for grain yield, cooking time and mineral concentrations. Crop Breed Appl Biotechnol 14:15–22. doi:10.1590/S1984-70332014000100003

    Article  Google Scholar 

  • Rosa SS, Ribeiro ND, Jost E, Reiniger LRS, Rosa DP, Cerutti T, Possobom MTDF (2010) Potential for increasing the zinc content in common bean using genetic improvement. Euphytica 175:207–213. doi:10.1007/s10681-010-0163-6

    Article  Google Scholar 

  • Santos CAF, de Araújo FP (2001) Aplicação de índices para seleção de caracteres agronômicos de feijão-de-corda. Rev Ciênc Agron 32:78–84

    Google Scholar 

  • Silva HD, Ferreira DF, Pacheco CAP (2000) Avaliação de quatro alternativas de análise de experimentos em látice quadrado, quanto à estimação de componentes de variância. Bragantia 59:117–123. doi:10.1590/S0006-87052000000100018

    Article  Google Scholar 

  • Silva JG, Aidar H, Kluthcouski J (2009) Colheita direta de feijão com colhedora automotriz axial. Pesq Agropec Trop 39:371–379

    Google Scholar 

  • Silva CA, Abreu AFB, Ramalho MAP, Maia LGS (2012) Chemical composition as related to seed color of common bean. Crop Breed Appl Biotechnol 12:132–137. doi:10.1590/S1984-70332012000200006

    Article  CAS  Google Scholar 

  • Smith HF (1936) A discriminant function for plant selection. Ann Eugen 7:240–250

    Article  Google Scholar 

  • Subandi W, Compton A, Empig LT (1973) Comparison of the efficiencies of selection indices for three traits in two variety crosses of corn. Crop Sci 13:184–186. doi:10.2135/cropsci1973.0011183X001300020011x

    Google Scholar 

  • Williams JS (1962) The evaluation of a selection index. Biometrics 18:375–393

    Article  Google Scholar 

Download references

Acknowledgment

We thank the Coordination for the Improvement of Higher Education Personnel (CAPES) and the National Council of Technological and Scientific Development (CNPq) and the for the grants awarded. The authors would also like to thank Mr. Euzébio Maziero for his assistance in conducting experiments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nerinéia Dalfollo Ribeiro.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Maziero, S.M., Ribeiro, N.D. & Storck, L. Simultaneous selection in beans for architecture, grain yield and minerals concentration. Euphytica 205, 369–380 (2015). https://doi.org/10.1007/s10681-015-1392-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10681-015-1392-5

Keywords

Navigation