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Research Article

volume 38 issue 2 (june 2018) : 146-148,   Doi: 10.18805/ag.D-4701

Selection indicies for nodulation, yield and quality attributes in exotic and indigenous germplasm of soybean under rainfed enviroment

P
Pawan Singh Sisodia
S
S.R. Ramgiry
1Department of Plant breeding and Genetics, R.A.K College of Agriculture, Sehore-466 001, Madhya Pradesh, India.
Cite article:- Sisodia Singh Pawan, Ramgiry S.R. (2018). Selection indicies for nodulation, yield and quality attributes in exotic and indigenous germplasm of soybean under rainfed enviroment. Agricultural Science Digest. 38(2): 146-148. doi: 10.18805/ag.D-4701.

ABSTRACT

Selection indices were computed on the basis of linear combination of 40 soybean germplasm based on nodulation, yield and quality traits during 2007-08 and 2008-09 under rainfed condition. The range for selection indices was from 6.34 to 19.43, 3.15 to 15.18 and 3.08 to 17.68 during first, second year and in pooled analysis respectively. The result revealed that gene stock TGX1025-2F, BR35, AGS153B, BP1159, BR-15-126-3-13 and TGX802-IIIE exhibited high index value for nodulation, yield and quality traits. EC333939, AGS153B, TGX802-IIIE, TGX 1025-2F, EC 34501 and BP1159 recorded highest per se performance for seed yield per plant. An overall observation of selection criteria (both varietal indices and  per se performance basis) TGX 1025F recorded the highest estimate value followed by AGS 153B, TGX802-IIIE, BP1159. Thus, these gene stock is valuable source for new variety released as well as selecting diverse parents for use in hybridization programme.

REFERENCES

  1. Baker, R.J. (1986). Selection Indices in Plant Breeding. CRC Press, Inc., Boca Raton, Florida, USA.
  2. Karnwal, M.K.,Siddhu, P.,Pushpendra (2009). Early generation selection for yield contributing traits in interspecific crosses of soybean [glycine max( L.)Merrill]. Legume Research, 32:117-120.
  3. Menezes, C.B., Benavente, C.A.T., Tarin, F.D., Cardoso, M.J., Bastos, E.A., Nogueira, D.W., Portugal, A.F., Santos, C.V., Schaffert, R.F. (2014). Selection indices to identify drought tolerant grain sorghum cultivars. Genetics and Molecular Research, 13:9817-9827.
  4. Singh, R.K. and choudhary, B.D. (1979). Biometrical Methods in Quantitative Genetics Analysis.Kalyani publ. Ludhiana, India.
  5. Singh, R.P., Yadava, H.S., Yadava, A.S. (2007).Varietal indices for seed yield and drought tolerance index in chickpea under different environments Legume Research, 30:148-150.
  6. Singh, S.P. and Khan, A.Q. (2003).Selection indices for commercial cane sugar yield in sugarcane (saccharum sp.complex). Agriculture Science Digest, 23:235-238. 
  7. Sisodia, P.S. (2009). Varietal indices for consumer’s quality traits in kabuli chickpea under rainfed environment. Legume Research, 32:149-150.
  8. Sisodia, P.S. and Yasin,M. (2009). Identification of promising genotypes of kabuli chickpea (cicer arietinum L.) Legume Research, 32:309-310.
  9. Smith, H.f. (1936). A discriminant function for plant selection. Ann. Eugencis, 7:240-250. 
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    Research Article

    volume 38 issue 2 (june 2018) : 146-148,   Doi: 10.18805/ag.D-4701

    Selection indicies for nodulation, yield and quality attributes in exotic and indigenous germplasm of soybean under rainfed enviroment

    P
    Pawan Singh Sisodia
    S
    S.R. Ramgiry
    1Department of Plant breeding and Genetics, R.A.K College of Agriculture, Sehore-466 001, Madhya Pradesh, India.
    Cite article:- Sisodia Singh Pawan, Ramgiry S.R. (2018). Selection indicies for nodulation, yield and quality attributes in exotic and indigenous germplasm of soybean under rainfed enviroment. Agricultural Science Digest. 38(2): 146-148. doi: 10.18805/ag.D-4701.

    ABSTRACT

    Selection indices were computed on the basis of linear combination of 40 soybean germplasm based on nodulation, yield and quality traits during 2007-08 and 2008-09 under rainfed condition. The range for selection indices was from 6.34 to 19.43, 3.15 to 15.18 and 3.08 to 17.68 during first, second year and in pooled analysis respectively. The result revealed that gene stock TGX1025-2F, BR35, AGS153B, BP1159, BR-15-126-3-13 and TGX802-IIIE exhibited high index value for nodulation, yield and quality traits. EC333939, AGS153B, TGX802-IIIE, TGX 1025-2F, EC 34501 and BP1159 recorded highest per se performance for seed yield per plant. An overall observation of selection criteria (both varietal indices and  per se performance basis) TGX 1025F recorded the highest estimate value followed by AGS 153B, TGX802-IIIE, BP1159. Thus, these gene stock is valuable source for new variety released as well as selecting diverse parents for use in hybridization programme.

    REFERENCES

    1. Baker, R.J. (1986). Selection Indices in Plant Breeding. CRC Press, Inc., Boca Raton, Florida, USA.
    2. Karnwal, M.K.,Siddhu, P.,Pushpendra (2009). Early generation selection for yield contributing traits in interspecific crosses of soybean [glycine max( L.)Merrill]. Legume Research, 32:117-120.
    3. Menezes, C.B., Benavente, C.A.T., Tarin, F.D., Cardoso, M.J., Bastos, E.A., Nogueira, D.W., Portugal, A.F., Santos, C.V., Schaffert, R.F. (2014). Selection indices to identify drought tolerant grain sorghum cultivars. Genetics and Molecular Research, 13:9817-9827.
    4. Singh, R.K. and choudhary, B.D. (1979). Biometrical Methods in Quantitative Genetics Analysis.Kalyani publ. Ludhiana, India.
    5. Singh, R.P., Yadava, H.S., Yadava, A.S. (2007).Varietal indices for seed yield and drought tolerance index in chickpea under different environments Legume Research, 30:148-150.
    6. Singh, S.P. and Khan, A.Q. (2003).Selection indices for commercial cane sugar yield in sugarcane (saccharum sp.complex). Agriculture Science Digest, 23:235-238. 
    7. Sisodia, P.S. (2009). Varietal indices for consumer’s quality traits in kabuli chickpea under rainfed environment. Legume Research, 32:149-150.
    8. Sisodia, P.S. and Yasin,M. (2009). Identification of promising genotypes of kabuli chickpea (cicer arietinum L.) Legume Research, 32:309-310.
    9. Smith, H.f. (1936). A discriminant function for plant selection. Ann. Eugencis, 7:240-250. 
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