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Pakistan Journal of Biological Sciences

Year: 2000 | Volume: 3 | Issue: 11 | Page No.: 1890-1891
DOI: 10.3923/pjbs.2000.1890.1891
Genetic Coefficient of Variation, Relative Expected Genetic Advance and Inter- relationships in Maize (Zea mays L.) For Green Fodder Purposes at Seedling Stage
Syed Sadaqat Mehdi and Muhammad Ahsan

Abstract: Five hundred S1 families were evaluated in the greenhouse for seedling traits in C1 recurrent selection cycle. Higher values of GCV% were toand for fresh shoot and dry root weight (28.85 and 41.95 respectively). Moderate broad-sense rieritahility (h2BS) estimates were found for fresh shoot weight, dry root weight and fresh shoot length (42.45, 48.94 and 55.0 respectively). Fresh shoot weight was phenotypically, highly significantly and positively correlated with other indicated traits. Hign values of coefficients of variation, positive highly significant inter-relationships, moderate broad-sense heritability (h2BS) estimates and relative expected genetic advance (REΔg %) was also found greater for fresh shoot weight and dry root weight. It is generally concluded from the results that fresh shoot weight can be used as selection criteria while comparing S1 families at seedling stage in maize as it is easy to determine as compared to dry root weight.

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Syed Sadaqat Mehdi and Muhammad Ahsan, 2000. Genetic Coefficient of Variation, Relative Expected Genetic Advance and Inter- relationships in Maize (Zea mays L.) For Green Fodder Purposes at Seedling Stage. Pakistan Journal of Biological Sciences, 3: 1890-1891.

Keywords: Maize, fodder, genetic and phenotypic correlations, heritability, genetic coefficients of variation and response to selection

Introduction

Maize (Zea mays L.) is an important kharif fodder crop, aciaptabie to varying rang of viirnatic and soil conditions. Its staggered planting from February to September helps cope with the fodder scarcity problems faced in May-June and October-November (Nazir, 1994), Its nutritious fodder is relished by all kinds of livestock especially milch animals. Maize is also widely grown for sale as green fodder around cities. Significant variation exists for nutritional quality traits of the stover and whole-plant forage in maize (Wolf et al., 1993). Differences in the rate of dry matter accumulation in different parts of the plant are related to changes in morphological structure. However, peak yield of green herbage occurs at the beginning of milky ripeness (Kirilov and Naidenov, 1990).

The production of maize fodder crop per acre is very low in Pakistan as compared to many other countries of the world. This is necause, very little attention nas been paid in the past to the improvement of maize as fodder crop. An adequate and regular supply of nutritious fodder is needed in Pakistan for livestock production in order to meet the requirements of milk, meat, butter and other products for human population. Therefore, this experiment was conducted to select superior families to be inter-crossed to develop high green fodder yielding population.

Materials and Methods

The experiment was conducted in a greenhouse in the Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad on January 7, 1999. Five hundred So maize families were raised in 5 blocks and each block was assigned with 100 So families. The experiment was conducted in a modified randomized complete block design with two replications. Ten seeds per family were sown in iron trays filled with river sand by keeping row-to-row and plant-to-plant distances of 5 and 3.5 cm, respectively. Water was applied to the seedlings regularly and was not a limiting factor for growth. Temperature was not fully controlled in the greenhouse and no supplementary lighting was used.

The experiment was harvested after two week of planting and data were recorded for fresh shoot length (cm), fresh root length (cm), fresh shoot weight (g) and fresh root weight (g). Fresh samples were left for drying in the oven. When they were completely dried, data were recorded for dry shoot weight (g) and dry root weight (g). Data were analyzed for the analysis of variance technique (Steel and Torrie, 1980). The data collected for each seedling trait was also analysed to estimate components of genetic, phenotypic and environmental variances (Johnson et al., 1951). Thereafter phenotypic (rp) and genetic (rG) correlation coefficients (Kwon and Torrie, 1964) and estimates of broad sense heritability were also obtained to determine the superior progenies by using 20% selection intensity. Mean and coefficients of variation (CV%) were also calculated for each seedling trait. Response to selection (Ag) was aiso calculated as:

Response to selection (Δg) = i. h2. σp
  (where i = 1.40)

Relative expected genetic advance (REΔg %) = (Δg) × 100/ Mean

Results and Discussion

Pooled means and genetic coefficients of variation (GCV %) for seedling traits among five hundred Si families are given in Table 1. The GCV (%) magnitudes were found lower for fresh shoot and root length per plant (16.25 and 9.11%, respectively). They were also low values of GCV found for dry shoot weight and fresh root weight (19.92 and 20.45% respectively). However the values of GCV (%) for fresh shoot and dry roat weight per plant were found to be higher (28.85 and 41.95 respectively). However, it suggested from the results that fresh shoot weight and dry root weight may be a useful selection criteria, while selecting for high green fodder yielding S1 families. Mehdi and Ahsan (1999) found low values for dry shoot weight (CV = 17.85%), dry root weight (CV 19.92%), fresh shoot length (CV = 17.51%) and fresh root length (CV = 19.01%) in S1 maize families. On the other hand they found high values of coefficient of variation (CV%) for fresh shoot and root weight (29.91 and 36.06 respectively) and also suggested fresh shoot weight, a useful selection criteria as it is easy to determine as compared to dry root weight.

The phenotypic correlation coefficients (rp) were highly significant and positive and ranging between (0.352**- 0.842**) among all indicated traits (Table 2). The fresh shoot weight had positive and highly significant phenotypic correlation (0.842**) with fresh root weight.

Table 1:
Mean, genetic coefficients of variation (GCV %) of some indicated seedling-iraits among 500 maize families
Where: σ2g = component of genetic variance. σ2e = components of environmental variance

Table 2:
Phenotypic (rp) and genetic correlation coefficients (rG, in parenthesis) among some indicated seedling traits of S1 maize families
**= Significant at 0.01% probability level

Table 3:
Broad-sense heritability (h2 %) estimates and relative expected genetic advance (REΔg %) for some indicated seedling traits among S1 maize families

The magnitudes of genetic correlation coefficients (rG) among all traits (Table 2) were found positive and ranging between (0.453-0.977). Mehdi and Ahsan (1999) reported in maize at seedling, that fresh shoot weight was positively and significantly correlated with fresh shoot length, fresh root length, fresh root weight, dry shoot weight and dry root weight. There was also positive and significant linear correlation for dry shoot weight with fresh root length and dry root weight. Fresh root weight was positively and significantly correlated with dry shoot weight, dry root weight, fresh shoot and root length. Fresh shoot length was also positively and significantly correlated with fresh root length. But fresh shoot length was negatively and significantly correlated with dry root weight. Mehdi and Ahsan (2000) reported highly significant and positive linear correlation coefficients among fresh shoot weight, fresh root weight, dry shoot weight, dry root weight, fresh shoot length and fresh root length.

Moderate broad-sense heritability (h2(BS) ) estimates (Table 3) were found for fresh shoot weight, fresh shoot length and dry root weight (h2(BS) % = 42.45, 48.94 and 55.0 respectively). But lower h2(BS) % values were found for fresh root weight (25.08), dry shoot weight (25.49) and fresh root length (13.92). Mehdi and Ahsan (2000) reported moderate broad-sense heritability estimates for fresh shoot weight, dry root weight, fresh shoot length and fresh root length (53.91, 50.26, 62.50 and 48.74% respectively). The magnitudes of relative expected genetic advance (REΔg %) for fresh shoot weight and dry root weight were found high (26.27 and 40.94 respectively). However, low values for fresh root weight (REΔg % =14.34), dry shoot weight (REΔg % = 16.07), fresh shoot length (REΔg % = 16.88) and fresh root length (REΔg % =4.74).

The genetic coefficient of variability, phenotypic and genetic inter-relationships, heritability estimates and relative expected genetic advance (REΔg %) suggesting that fresh shoot weight may be used as selection criteria, while selecting for superior families, Similarly, Mehdi and Ahsan (1999) suggested fresh shoot weight as good indicator, while selecting families for high green fodder yield. Dhillon (1991) reported two new methods of selection, alternative recurrent selection of S1 and half-sib families. The new methods have greater expected genetic gains/year than mass, S1, modified S1, full-sib, modified full- sib, half-sib, modified ear-to-row and alternative modified S1-half sib selections. But, Li (1993) reported that emergence percentage has been extensively used as an indicator for seedling vigour. Similarly, Fakorede and Ayoola (1980) used emergence percentage, emergence index and dry matter accumulation growth rate and relative growth rate as an indicator for seedling vigour during the first 30 days of growth.

Acknowledgments

The authors are grateful to the Pakistan Foundation, Islamabad for the financial assistance to conduct this research work under the research project No. PSF/Res/P-AU/Agr. (192) in Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad.

REFERENCES

  • Dhillon, B.S., 1991. Alternative recurrent selection of 5 and half-sib families for intra-population improvement. Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India.


  • Fakorede, M.A.B. and A. Ayoola, 1980. Relationship between seedling vigor and selection for yield improvement in maize. Maydica, 25: 135-147.
    Direct Link    


  • Kirilov, A. and T. Naidenov, 1990. Composition, yield, intake and digestibility of green maize. 2. Intake, digestibility and performance. Zhivotnov'dni Nauki, 27: 59-61.
    Direct Link    


  • Li, Y.H., 1993. Salt resistance high quality wheat variety Ping Dong 29. Crop Genetic Resources No. 3, pp: 38.


  • Mehdi, S.S. and M. Ahsan, 1999. Evaluation of S1 Maize (Zea mays L.) families at seedling stage for fodder purposes. Pak. J. Biol. Sci., 2: 404-405.
    CrossRef    Direct Link    


  • Mehdi, S.S. and M. Ahsan, 2000. Coefficient of variation, inter-relationship and heritability estimates for some seedling traits in maize in C1 recurrent selection cycle. Pak. J. Biol. Sci., 3: 181-182.
    CrossRef    Direct Link    


  • Nazir, S., 1994. Fodder Crops. In: Crop Production and Crop Protection, Oerke, E.C. (Ed.). National Book Foundation, Islamabad, pp: 391-417


  • Kwon, S.H. and J.H. Torrie, 1964. Heritability and interrelationship among traits of two soybean populations. Crop Sci., 4: 196-198.
    Direct Link    


  • Johnson, H.F., R.F. Comstock and P.H. Harvey, 1951. Genotypic and phenotypic correlations in corn and their implications in selection. Agron. J., 43: 282-287.
    CrossRef    Direct Link    


  • Steel, R.G.D. and J.H. Torrie, 1980. Principles and Procedures of Statistics: A Biometrical Approach. 2nd Edn., McGraw Hill Book Co., New York, USA., ISBN-13: 9780070609266, Pages: 633
    Direct Link    


  • Wolf, D.P., J.G. Coors, K.A. Albrecht, D.J. Undersander and P.R. Carter, 1993. Forage quality of maize genotypes selected for extreme fiber concentrations. Crop Sci., 33: 1353-1359.
    CrossRef    Direct Link    

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