[
Adebayo, M.A., Kolawole, A.O., Raji, I., and Ajayi, J. (2017). Agronomic evaluation of testcrosses of drought-tolerant maize (Zea mays L.) inbred lines using different selection index methods. Archives of Agronomy and Soil Science, 63(9), 1292 ‒ 1300. DOI:10.1080/03650340.2016.1274977.
]Open DOISearch in Google Scholar
[
Ajala, S.O. (2010). Expected responses to aggregate trait selection in maize (Zea mays L). Journal of Food, Agriculture & Environment, 8(1), 185 ‒ 189.
]Search in Google Scholar
[
Akbar, M.R., Purwoko, B.S., Dewi, I.S., and Suwarno, W.B. (2018). Agronomic and drought tolerance evaluation of doubled haploid rice breeding lines derived from anther culture. SABRAO Journal of Breeding & Genetics, 50(2), 115 ‒ 128.
]Search in Google Scholar
[
Anshori, M.F., Purwoko, B.S., Dewi, I.S., Ardie, S.W., and Suwarno, W.B. (2019). Selection index based on multivariate analysis for selecting doubled-haploid rice lines in lowland saline prone area. SABRAO Journal of Breeding & Genetics, 51(2), 161 ‒ 174.
]Search in Google Scholar
[
Berilli, A.P.C.G., Pereira, M.G., Tindade, R.S., and Costa, F.R. (2013). Response to the selection in the 11th cycle of reciprocal recurrent selection among full-sib families of maize. Acta Scientiarum- Agronomy, 35(4), 435 ‒ 441. DOI:10.4025/actasciagron.v35i4.17489.
]Open DOISearch in Google Scholar
[
Brim, C.A., Johnson, H.W., and Cockerham, C.C. (1959). Multiple selection criteria in soybeans. Agronomy Journal, 51(1), 42 ‒ 46. DOI:10.2134/agronj1959.00021962005100010015.
]Open DOISearch in Google Scholar
[
Crevelari, J.A., Durães, N.N.L., Bendia, L.R.C., da Silva, A.J., Azevedo, Valdinei Cruz Azeredo, F.H.V., and Pereira, M.G. (2018). Assessment of agronomic performance and prediction of genetic gains through selection indices in silage corn. Australian Journal of Crop Science, 12(5), 800 ‒ 807. DOI:10.3316/informit.732995213896131.
]Open DOISearch in Google Scholar
[
Crosbie, T.M., Mock, J.J. and Smith, O.S. (1980). Comparison of gains predicted by several selection methods for cold tolerance traits of two maize populations Crop Science, 20(5), 649 ‒ 655. DOI:10.2135/cropsci1980.0011183X002000050027x.
]Open DOISearch in Google Scholar
[
de Azeredo, A.A.C., Bhering, L.L., Brasileiro, B.P., Cruz, C.D., Silveira, L.C.I., Oliveira, R.A., Bespalhok Filho, J.C., and Daros, E. (2017). Comparison between different selection indices in energy cane breeding. Genetic and Molecular Research, 16(1), gmr16019535. DOI:10.4238/gmr16019535.28301673
]Open DOISearch in Google Scholar
[
de Santiago, S., de Souza Junior, C.L., Lemos, L.B., and Môro, G.V. (2019). Prediction of genetic gain using selection indices in maize lines. African Journal of Agricultural Research, 14(17), 787 ‒ 793. DOI:10.5897/AJAR2015.10696.
]Open DOISearch in Google Scholar
[
Dermail, A., Fuengtee, A., Lertrat, K., Suwarno,W.B., Lübberstedt, T., and Suriharn, K. (2022). Simultaneous selection of sweet-waxy corn ideotypes appealing to hybrid seed producers, growers, and consumers in Thailand. Agronomy, 12(1), 87. DOI:10.3390/agronomy12010087.
]Open DOISearch in Google Scholar
[
Elston, R.C. (1963). A weight free index for the purpose of ranking of selection with respect to several traits at a time. Biometrics, 19(1), 85 ‒ 97. DOI:10.2307/2527573.
]Open DOISearch in Google Scholar
[
Emmanuel, G., Vah, E.G., Ndebeh, J., Akromah, R., and Obeng-Antwi, K. (2017). Evaluation of maize top cross hybrids for grain yield and associated traits in three agroecological zones in Ghana. International Journal of Environment, Agriculture and Biotechnology, 2(4), 2076 ‒ 2087. DOI:10.22161/ijeab/2.4.66.
]Open DOISearch in Google Scholar
[
Ewool, M.B., Akromah, R. and Acheampong, P.P. (2016). Performance of pro-vitamin A maize synthetics and hybrids selected for release in Ghana. International Journal of Science and Technology, 5(6), 268 ‒ 293.
]Search in Google Scholar
[
Guimarães, P.H.R., Melo, P.G.S., Cordeiro, A.C.C., Torga, P. P., Rangel, P.H.N., and de Castro, A.P. (2021). Index selection can improve the selection efficiency in a rice recurrent selection population. Euphytica, 217(5), 1 ‒ 16. DOI:10.1007/s10681-021-02819-7.
]Open DOISearch in Google Scholar
[
Hazel, L.N. (1943). The genetic basis for constructing selection index. Genetics, 28(6), 476 ‒ 490. DOI:10.1093/genetics/28.6.476.120922517247099
]Open DOISearch in Google Scholar
[
Kempthorne, O. and Nordskog, A.W. (1959). Restricted selection indices. Biometrics, 15(1), 10 ‒ 19. DOI: 10.2307/2527598.
]Open DOISearch in Google Scholar
[
Kolawole, A.O., Menkir, A., Blay, E., Ofori, K., and Kling, J. G. (2018). Genetic advance in grain yield and other traits in two tropical maize composites developed via reciprocal recurrent selection. Crop Science, 58(6), 2360 ‒ 2369. DOI:10.2135/cropsci2018.02.0099.
]Open DOISearch in Google Scholar
[
Kolawole, A.O., Raji, I.A., and Oyekale, S.A. (2021). The performance of new early maturing pro-vitamin A maize (Zea mays L.) hybrids in the derived savanna agro-ecology of Nigeria. Journal of Agricultural Sciences, Belgrade, 66(3), 231 ‒ 245. DOI:10.2298/JAS2103231K.
]Open DOISearch in Google Scholar
[
León, R., Rosero, A., García, J.L., Morelo, J., Orozco, A., Silva, G., De la Ossa, V., Correa, E., Cordero, C., Villalba, L., and Belalcazar, J. (2021). Multi-trait selection indices for identifying new cassava varieties adapted to the Caribbean Region of Colombia. Agronomy, 11(9), 1694. DOI:10.3390/agronomy11091694.
]Open DOISearch in Google Scholar
[
Lunezzo de Oliveira, R., Garcia Von Pinho, R., Furtado Ferreira, D., Miranda Pires, L. P., and Costa Melo, W.M. (2014). Selection index in the study of adaptability and stability in maize. The Scientific World Journal, 2014, 1 ‒ 6. DOI:10.1155/2014/360570.394835824696641
]Open DOISearch in Google Scholar
[
Menkir, A., Dieng, I., Mengesha, W., Meseka, S., Maziya-Dixon, B., Alamu, O.E., Bossey, B., Muhyideen, O., Ewool, M., and Coulibaly, M.M. (2021). Unravelling the effect of pro-vitamin A enrichment on agronomic performance of tropical maize hybrids. Plants, 10(8), 1580. DOI:10.3390/plants10081580.839842334451625
]Open DOISearch in Google Scholar
[
Mulamba, N.N. and Mock, J.J. (1978). Improvement of yield potential of the Eto Blanco maize (Zea mays L.) population by breeding for plant traits. Egyptian Journal of Genetics and Cytology, 7(1), 40 ‒ 51. ID: 87140435.
]Search in Google Scholar
[
Musundire, L., Derera, J., Dari, S., Lagat, A., and Tongoona, P. (2021). Stability assessment of single-cross maize hybrids using GGE-Biplot Analysis. Journal of Agricultural Science, 13(2), 78 ‒ 94. DOI:10.5539/jas.v13n2p78.
]Open DOISearch in Google Scholar
[
Obeng-Bio, E., Badu-Apraku, B., Ifie, B.E., Danquah, A., Blay, E.T., and Annor, B. (2019). Genetic analysis of grain yield and agronomic traits of early pro-vitamin A quality protein maize inbred lines in contrasting environments. The Journal of Agricultural Science, 157(5), 413 ‒ 433. DOI:10.1017/S0021859619000753.
]Open DOISearch in Google Scholar
[
Ogunniyan, D.J, Adetumbi, J.A., Olasoji, J.O. and Makinde, S.A. (2021). The variability of grain yield, seed morphometric and vigour traits of early maturing hybrid maize. Journal of Agricultural Sciences (Belgrade), 66(2), 105 ‒ 119. DOI:10.2298/JAS2102105O.
]Open DOISearch in Google Scholar
[
Olaniyan, A.B. (2015). Maize: Panacea for hunger in Nigeria. African Journal of Plant Science, 9(3), 155 ‒ 174. DOI:10.5897/AJPS2014.1203.
]Open DOISearch in Google Scholar
[
Oloyede-Kamiyo, Q.O. (2019). Efficiency of index-based selection methods for stem borer resistance in maize (Zea mays L.). Journal of Crop Science and Biotechnology, 22(3), 205 ‒ 211. DOI:10.1007/s12892-017-0130-0.
]Open DOISearch in Google Scholar
[
Pesek, J. and Baker, R.J. (1969). Desired improvement in relation to selection indices. Canadian Journal of Plant Science, 49(6), 803 ‒ 804. DOI:10.4141/cjps69-137.
]Open DOISearch in Google Scholar
[
Pixley, K., Rojas, N.N., Babu, R., Mutale, R., Surles, R., and Simpungwe, E. (2013). Biofortification of maize with pro vitamin A carotenoids. In Tanumihardjo, S.A. (Ed.), Carotenoids and Human Health, 1st ed. Totowa, NJ, USA: Humana Press, pp. 271 ‒ 292. DOI:10.1007/978-1-62703-203-2_17.
]Open DOISearch in Google Scholar
[
Reif, J.C., Melchinger, A.E., Xia, X.C., Warburton, M.L., Hoisington, D.A., Vasal, S.K., Srinivasan, G., Bohn, M., and Frisch, M. (2003). Genetic distance based on simple sequence repeats and heterosis in tropical maize populations. Crop Science, 43(4), 1275 ‒ 1282. DOI:10.2135/cropsci2003.1275.
]Open DOISearch in Google Scholar
[
SAS Institute (2010). Statistical Analysis Software (SAS). Users guide, SAS Inst. Inc. Cary, NC.
]Search in Google Scholar
[
Silva, M.F., Maciel, G.M., Finzi, R.R., Peixoto, J.V.M., Rezende, W.S., and Castoldi, R. (2020). Selection indexes for agronomic and chemical traits in segregating sweet corn populations. Horticultura Brasileira, 38(1), 71 ‒ 77. DOI:10.1590/S0102-053620200111.
]Open DOISearch in Google Scholar
[
Smith, H.F.A. (1936). Discriminant function for plant selection. Annals of Eugenics, 7(3), 240 ‒ 250. DOI:10.1111/j.1469-1809.1936.tb02143.x.
]Open DOISearch in Google Scholar
[
Smith, O.S., Hallauer, A.R., and Russell, W.A. (1981). Use of index selection in recurrent selection programs in maize. Euphytica, 3(30), 611 ‒ 618. DOI:10.1007/bf00038788.
]Open DOISearch in Google Scholar
[
Tai, G.C.C. (1977). Index selection with desired gains. Crop Science, 17(1), 182 ‒ 183.
]Search in Google Scholar
[
Tardin, F.D., Pereira, M.G., Gabriel, A.P.C., Amaral Júnior, A.T., and Souza Filho, G.A. (2007). Selection index and molecular markers in reciprocal recurrent selection in maize. Crop Breeding and Applied Biotechnology, 7, 225 ‒ 233. DOI: 10.12702/1984-7033.v07n03a01.
]Open DOISearch in Google Scholar
[
Tripathi, M.P., Shrestha, J. and Gurung, D.B. (2016). Performance evaluation of commercial maize hybrids across diverse Terai environments during the winter season in Nepal. Journal of Maize Research and Development 2(1), 1 ‒ 12. DOI:10.3126/jmrd.v2i1.16210.
]Open DOISearch in Google Scholar
[
USDA (1999). United States Department of Agriculture, Natural Resources Conservation Service. In Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. Agriculture Handbook 2nd ed. Madison: University of Wisconsin Press, 754p.
]Search in Google Scholar
[
Vieira, R.A., Rocha, R., Scapim, C.A., Amaral Júnior, A.T., and Vivas, M. (2016). Selection index based on the relative importance of traits and possibilities in breeding popcorn. Genetic and Molecular Research, 15(2), gmr.15027719. DOI:10.4238/gmr.15027719.27173260
]Open DOISearch in Google Scholar
[
Williams, J.S. (1962). The evaluation of a selection index. Biometrics, 18(3), 375 ‒ 393. DOI:10.2307/2527479.
]Open DOISearch in Google Scholar
[
Wricke, G. and Weber, W.E (1986). Quantitative genetics and selection in plant breeding. New York: Walter de Gruyter, 406p. DOI:10.1515/9783110837520.41.
]Open DOISearch in Google Scholar
[
Zaffar, G., Shikari, A.B., Rather, M.A., and Guleria, S.K. (2005). Comparison of selection Indices for screening maize (Zea mays L.) germplasm for cold tolerance. Cereal Research Communications, 33(2 ‒ 3), 525 ‒ 531. DOI:10.1556/CRC.33.2005.2-3.115.
]Open DOISearch in Google Scholar