Morphological Characterization and Evaluation of Little Millet (Panicum Sumatrense Roth. Ex. Roem. and Schultz.) Germplasm

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Morphological Characterization and Evaluation of Little Millet (Panicum Sumatrense Roth. Ex. Roem. and Schultz.) Germplasm Electronic Journal of Plant Breeding, 1(2): 148-155 (March 2010) Research Article Morphological Characterization and Evaluation of Little millet (Panicum sumatrense Roth. ex. Roem. and Schultz.) Germplasm A.Nirmalakumari, K. Salini and P. Veerabadhiran Abstract Evaluation of hundred and nine little millet germplasm accessions was done during rabi , 2008-2009 at Department of Millets, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore to study descriptive statistics, genetic variability, correlation and path analysis of yield and its components. High estimates of variability together with high heritability and high genetic advance were observed for grain yield, number of productive tillers per plant, total number of tillers per plant, flag leaf width and flag leaf sheath length indicated additive gene effects for these characters. Phenotypic selection based on these characters may be effective for yield improvement. Highly significant positive correlations of most of the component characters with grain yield and strong inter correlation among themselves indicated possibility of simultaneous improvement of these characters by selection. High positive direct effect and indirect effects of other characters through days to 50 per cent flowering indicated this character should be given importance in selection. Key words: Little millet, germplasm, variability, correlation, path analysis. Introduction the much needed food grain among the tribal and is staple food for millions in many parts of the world. It Little millet ( Panicum sumatrense Roth. ex. Roem. is a good source of protein (7.7g/ 100 g), very rich in and Schultz.) is one of the important small millets carbohydrate (67.0 g/ 100 g), fat (4.79 g/100 g), indigenous to Indian subcontinent. It is widely minerals and vitamins and should be considered as cultivated as minor cereal across India, Nepal and essential food for nutritional security. western Burma and presently grown throughout India in more than half a million hectares. It is cultivated Progress in any crop improvement programme both in the tropics and sub-tropics and even at an depends mainly on the degree of variability for the altitude of 7000 ft above MSL. Little millet is well desired characters existing in the germplasm known for its drought tolerance and is considered as collection. In order to utilize the variability available one of the least water demanding crops. Being the in the gene pool, it is imperative to critically evaluate first crop to be harvested in the season, it produces and characterize the available germplasm collections. An estimate of the extent of variability available in the germplasm would be of immense value to the Department of Millets, Centre for Plant Breeding and breeder to efficiently design the breeding procedure Genetics, Tamil Nadu Agricultural University for further improvement of the crop and to identify Corresponding author: [email protected] superior genotypes in the population. S tudies on descriptive statistics are helpful in the estimation of simple measures of variability like mean, range, standard deviation, variance, standard error and 148 Electronic Journal of Plant Breeding, 1(2): 148-155 (March 2010) coefficient of variability which can be used for by using the formula suggested by Johnson et al. preliminary evaluation. Fisher et al . (1932) (1955). Correlation coefficients were worked out emphasized the usefulness of third order statistics using the formula as suggested by Falconer (1960). (skewness and kurtosis) in the study of quantitative The correlation coefficient was partitioned into direct traits in addition to first and second order statistics. and indirect causes according to Dewey and Lu It is essential to partition the overall variability into (1959). heritable and non heritable components with the help of genetic parameters like genotypic and phenotypic Results and discussion coefficients of variation. Heritability estimates along An insight into the magnitude of variability present with genetic advance are fairy helpful in predicting in the gene pool of a crop species is of utmost the gain under selection and in formulating suitable importance to plant breeder for starting a judicious selection procedures. Knowledge on correlation plant breeding programme. Phenotypic expression of between yield and its component characters may be a character is the result of interaction between helpful in selection of suitable plant type. In order to genotype and environment. Hence it is essential to get the information on actual contribution of each partition the overall variability into heritable and non character to yield, it is necessary to partition the heritable components. Burton (1952) suggested that correlation into direct and indirect effects through heritability estimates coupled with genotypic path analysis. Therefore, correlation in conjunction coefficient of variation would provide an accurate with path analysis would help in identifying suitable picture about the extent of genetic advance to be selection criteria for improving the yield. Hence the expected through selection. present investigation was undertaken to characterize the germplasm accessions, to assess the variability Descriptive statistics and to determine the interrelationship among yield Mean values were subjected to statistical analysis to and its contributing characters in little millet. study the descriptive statistics like mean, range, standard deviation, standard error, coefficient of Material and methods variation, variance, skewness and kurtosis (Table 1). Experimental material consisted of 109 little millet Large phenotypic diversity has been observed for germplasm accessions maintained at small millets almost all the characters studied. Variation in panicle section of Department of Millets, Centre for Plant compactness and shape is depicted in Figure 1. Grain Breeding and Genetics, Tamil Nadu Agricultural yield per plant, plant height and days to 50 per cent University, Coimbatore which is situated at about flowering recorded wide range indicating the extent 11 oN latitude and 77 oE longitude at an altitude of 427 of variability for these characters. There are m above MSL and the average annual rainfall is accessions in the collection, which can flower as around 700mm. For characterization and evaluation early as 49 days and as late as 83 days after sowing these germplasm accessions were grown in with a mean of 60 days. Plant height ranged from 88 Randomized Block Design with three replications to 142 cm with a mean of 111 cm. Number of during rabi , 2008-2009 . Each accession was grown productive tillers per plant varied from 3 to 26 with a in a single row of 3 m length with a spacing of 30 mean of 6.9. Flag leaf length showed variation from x10cm. Observations were recorded on five 18 to 41 with a mean of 28.9 cm. Flag leaf width randomly selected competitive plants in each varied from 0.5 to 1.9 cm with a mean of 0.99 cm. accession in every replication for nine quantitative Grain yield per plant showed a wide range of 2.9 to traits such as days to 50 per cent flowering, plant 50.1g with a mean of 13.8g. Among the traits height (cm), total number of tillers per plant, number studied grain yield per plant, number of productive of productive tillers per plant, flag leaf length (cm), tillers and total number of tillers showed higher flag leaf width (cm), flag leaf sheath length (cm), variance. All the characters showed positive panicle length (cm) and grain yield per plant (g) as skewness indicating non- additive gene action. per descriptors for Panicum miliaceum and Panicum sumatrense (IBPGR, 1985). The estimation of mean, Accessions were categorized into three different standard deviation, standard error, skewness and classes based on the range observed for each kurtosis were worked out by adopting the standard character. Relative frequencies and corresponding methods (Panse and Sukhatme, 1964). Phenotypic percentage values of different classes are given in variance and genotypic variance were estimated Table 2. Most of the genotypes studied were low according to the formula given by Lush (1940). yielding (63.3%), earlier in flowering (55.05%), low Phenotypic and genotypic coefficients of variation tillering (88.99%), medium in plant height (55.96%), were computed according to the method suggested medium in flag leaf length (63.3%), medium in flag by Burton (1952). Heritability in broad sense was leaf width (56.88%), short in panicle length (59.63%) calculated as per the formula given by Allard (1960). and flag leaf sheath length (87.15%). Histogram has Genetic advance was expressed as per cent of mean 149 Electronic Journal of Plant Breeding, 1(2): 148-155 (March 2010) been provided for plant height to illustrate the characters studied. Genetic advance as per cent of genetic diversity available in the material (Figure 2). mean ranged from 13.03 (days to 50 per cent flowering) to 83.19 (number of productive tillers per Studies on variability plant). High genetic advance as per cent of mean was The estimates on genotypic and phenotypic co- observed for all characters except days to 50% efficients of variation, heritability and genetic flowering and plant height. High genetic advance advance as per cent of mean are furnished in Table 2. indicated that these characters are governed by The magnitude of PCV was higher than that of GCV for additive genes and selection will be rewarding for all characters under study (Figure 3). It means that improvement of these traits. Similar findings had apparent variation is not only due to genotypes but also been reported in the past by Yadav and Srivastava due to the influence of environment. However the narrow (1976a) and Padmaja (1998) for grain yield per plant, differences between PCV and GCV indicated little number of tillers and panicle length. Medium genetic influence of environment on the expression of these advance for plant height and days to 50 per cent characters and variability was due to genetic components flowering indicated that these characters are only. This implied phenotypic variability to be a reliable governed by non additive genes.
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