Genetics of finger millet grain yield in Bastar plateau of Chhattisgarh (original) (raw)
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African Journal of Biotechnology, 2013
Eighty-eight (88) finger millet (Eleusine coracana (L.) Gaertn.) germplasm collections were tested using augmented randomized complete block design at Adet Agricultural Research Station in 2008 cropping season. The objective of this study was to find out heritability, variance components, variability and genetic advance for some yield and yield related agronomic characters. Statistically significant (p<0.01) difference was observed among the genotypes tested for important characters indicating the presence of variability. A considerable amount of variability among germplasms for the traits studied also indicated the usefulness of selection for these traits in the genetic material used for future improvement in finger millet. In addition, high genotypic coefficient of variation (GCV) was recorded for number tillers per plant (71.93), number of ears per plant (96.55), number of fingers per ear (85.48), finger length (94.48), biomass yield (87.67), and grain yield (78.17) and high phenotypic coefficient of variation (PCV) was similarly recorded for number tillers per plant (30.42), number of ears per plant(45.55), number of fingers per ear (24.88), finger length (26.18), biomass yield (85.56), and grain yield (29.87). High heritability coupled with high expected genetic advance as percent of mean was obtained for number of ears per plant (96.55, 90.59%), number of finger per ear (85.48, 43.81%), finger length (94.48, 50.95%), and days to heading (96.01, 14.13%), biomass yield (87.67, 154.52%), 1000 kernel weight (93.69, 37.70%), lodging susceptibility (98.92, 384.24%) and blast severity (87.60, 89.47%) indicating that the presence of more additive gene effects for potential crop improvement and so these characters could be improved through selection. This study reveals that greater yield response could be obtained through direct selection scheme in finger millet landraces.
Electronic journal of plant breeding, 2024
A set of thirty genotypes of little millet were studied using thirteen morphological traits to assess genetic variability, character association and their effects on grain yield during Kharif 2022 at Centurion University, Paralakhemundi, Odisha in a randomized block design with three replications. Analysis of variation revealed significant (p≤0.01) variation in the studied genotypes for all the traits recorded. The characters viz., number of productive tillers, test weight and grain yield had high genotypic (GCV) and phenotypic coefficient of variation (PCV) whereas characters viz., number of productive tillers, number of braches per panicle, culm length, culm diameter, test weight and grain yield had high genetic advance coupled with high heritability. Most of the traits except days to 50% flowering, days to maturity and flag leaf length showed strong significant (p≤0.01) positive associations with grain yield at genotypic and phenotypic levels. The traits such as plant height, number of productive tillers, culm length, test weight, flag leaf length and breadth recorded positive direct effect on grain yield that indicates direct improvement of these traits could be beneficial for the improvement of little millet cultivars with higher grain yield.
African Journal of Agricultural Research, 2011
The associations among yield components and their direct and indirect influence on the grain yield of finger millet were investigated. For this purpose, eighty-eight finger millet (Eleusine coracana (L.) Gaertn.) genotypes were tested using an augmented randomized complete block experimental design with two replications at Adet Agricultural Research Center in 2008. Accordingly, phenotypic and genotypic correlations among the traits and their path coefficients were estimated. Grain yield was significantly correlated with its component characters like plant height (r p =0.446 ** and r g =0.574 **), number of ears per plant (r p =0.364 ** and r g =0.443 **), number of fingers per ear (r p =0.329 ** and r g =0.532 **), finger length (r p =0.361 ** and r g =0.426 **) , biomass yield (r p and r g =0.839 **), harvest index (r p =0.336 ** and r g =0.476 **) and thousand kernel weight (r p =0.225 * and r g =0.267 *). Phenotypic path analysis showed biomass yield (0.835) and finger length (0.159), number of fingers per ear (0.016), and number of ears per plant (0.038) to exert positive direct effects on grain yield, while plant height, days to heading and days to maturity exhibited negative direct effects. Genotypic path analysis also revealed that biomass yield (2.240), number of tillers per plant (0.359) and finger length (0.242) exerted positive direct effects on grain yield. Thus, the correlation analysis showed plant height, number of ears per plant, number of fingers per ear, finger length, biomass yield, harvest index and 1000 kernel weight to be important yield components that can be used to improve the yield potential of finger millet genotypes.
Agronomic Performance and Correlation Analysis of Finger Millet Genotypes (Elusine Corocana L.)
Malaysian Journal of Sustainable Agriculture
Considering the context of climate change and food security issues of the poor, marginalized and vulnerable farmers; there is urgent need of characterization of the traits and its correlation in the different genotypes of finger millet for development of elite variety in Nepal. A field research was carried out at agronomy field at hill crop research program (HCRP), kabre, Dolakha from June to November, 2017in order to identify the phenotypic variability of the trait in different Nepalese landraces and create to promote the production and stability of neglected crops, finger millet. The field experiment was conducted in random complete block design with two replications. The result revealed that the finger millet genotypes showed the significant differences for days to 50 % heading, plant height, plant stand per square meter, bearing head per square meter, number of finger per head, thousand grain weight and grain yield. The genotypes ACC#513 (3.68 t/ha) fallowed by ACC#2303(3.65t ha-1), ACC#2275(3.57t ha-1) and ACC#5434 (3.39 t ha-1) produces highest grain yield. Correlation analysis revealed that plant height fallowed by plant stand per square meter, bearing head, number of finger per head and straw yield with minimum lodging percentage were most yield determinative traits and simultaneous selection for these traits might brining an improvement in finger millet grain yield.
International Journal of Plant and Soil Science, 2022
The fifty-finger millet (Eleusine coracana) genotypes used in the current experiment were examined in four different environments: E1 and E2 at the Student Research Farm at the C.S.A.U.A.&T. Kanpur, and E3 and E4 seeded at the Research Farm in Daleep Nagar, Kanpur. The genotypes were assessed using a randomised block design with three replications to determine genetic variability for the following traits: days to 50% flowering, days to maturity, plant height (cm), number of productive tillers per plant, number of fingers per ear, length of finger (cm), finger width (cm), ear head width (cm), ear head length (cm), ear head weight (g), ear head weight (g), straw yield per plant (g), harvest index (%), 1000 grain weight (g), protein content (%) and grain yield per plant (g). This experiment revealed low genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) for days to 50% flowering, days to maturity, ear head width across all conditions, and protein content across all environments with the exception of E2. High levels of GCV and PCV were found in the ear head weight, straw yield per plant, 1000 grain weight, and grain yield per plant. In every context, the magnitude of GCV was often lower than the corresponding PCV. Plant
To assess objectives of genetic dissection of economic traits among 50 finger millet accessions were evaluated in alpha lattice design with three replications at IAAS, Rampur during 2011 rainy season. Highly significant differences (p>0.01) were recorded for all studied traits among accessions. The phenotypic and genotypic coefficient of variation (PCV and GCV) was high in finger length (35.78%, 32.18%) and grain yield ear-1 (27.22%, 21%). Highest genetic correlation coefficient value recorded between phenological traits (0.95**). Grain yield ear-1 showed positive and highly significant genetic correlation with days to flowering (0.75**), days to maturity (0.85**), plant height (0.81**), thousand kernel weight (0.72**), finger no. ear-1 (0.68**) and negative with flag leaf blade length (-0.43**) and productive tillers no. plant-1 (-0.37**). Highest positive direct effects recorded of thousand kernel weight (1.53) followed by days to flowering (1.13), flag leaf blade length (1.05) and finger no. ear-1 (0.80) to grain yield per ear. Negative and high direct effects recorded of days to maturity (-0.87) followed by flag leaf blade width (-0.87), finger length (-0.83) and productive tillers no. plant-1 (-0.35). Large effect of grain yield ear-1 partitioned indirectly and positive via thousand kernel weight (1.11), days to flowering (0.85), finger no. ear-1 (0.54) and negative via days to maturity (-0.75) and flag leaf blade width (-0.45). High heritability in broad sense coupled with genetic advances per mean observed in finger length, plant height and finger no. ear-1 suggests these traits will be effective for evaluation of subsequent generation selection in hybridization program. Thousand kernel weight, finger no. per ear and days to flowering showed positive significant genetic association and high direct effect through path analysis suggest direct selection of these traits can be consider for genetic improvement based on phenotypic value of crop.
PHENOTYPIC DIVERSITY OF FINGER MILLET (Eleusine coracana (L.) Gaertn.) GENOTYPES
Malaysian Journal of Sustainable Agriculture
An experiment was conducted at Hill Crops Research Program (HCRP), Kabre, Dolakha under Nepal Agricultural Research Council, Nepal (NARC), during rainy season of 2018 with objective to identify the level of genetic difference present in the finger millet genotypes being cultivated for selecting genotypes in different agro-climatic region in Nepal using descriptive statistics, correlation analysis, cluster analysis and principle component analysis. P value of REML procedure revealed that significant variation was observed in 16 finger millet genotypes for baring head, days to 50% flowering, days to 50 % heading, days to 75 % maturity, finger length, flag leaf length, plant stand, plant height, number of finger, peduncle length, no of productive tiller, thousand grain weight, grain yield and straw yield showed selection and development of suitable varieties for different agro-climatic region of Nepal. Traits baring head, finger length, number of fingers, flag leaf length, peduncle length, productive tiller, thousand kernel weight, plant stand, straw yield were positively correlated with grain yield revealed that selection within this is importance for improvement grain yield. Cluster I consists up six early mature genotypes named as KLE-178,GE-0383, ACC#6022,GE-0382,KLE-0150,ACC#0124 can be used to development of early mature genotypes for mountain regions where chilling stress occurs at maturity period whereas similarly cluster II, III and IV consisted up 10 late mature genotypes named as ACC#2843, ACC#2860, ACC#8827-1,Sailung-Kodo-1,NE-1703-34,KLE-236,ACC#2311,GE-0356, farmer's variety, GE-0480 can be used to develop high yielding late mature varieties for mid hill and terai regions these genotypes may be of interest to researcher for selection of materials for breeding program in different agro-climatic region of Nepal.
International Journal of Current Microbiology and Applied Sciences, 2018
The present experiment was carried out to assess the nature and magnitude of genetic variability and divergence among 200 finger millet accessions including four check varieties viz., PRM-1, PRM-2, VL-352 and GPU-28 and also to identify diverse parents for use in further breeding programmes. The seeds of each line were sown in augmented design and each line was represented by one row of 3 meters length and spaced 22.5 cm apart. Variability study indicated moderate phenotypic and genotypic coefficient of variation accompanied by high heritability and moderate genetic advance as per cent of mean for all the traits except number of productive tillers per plant. Mahalanobis D2 statistics grouped all the 200 accessions of finger millet into fifteen clusters. The accessions in cluster VI and XV exhibited higher degree of genetic diversity. The accessions in cluster X were found suitable for days to 50 per cent flowering, number of fingers per plant, plant height, days to maturity, seed yield and 1000-seed weight. Days to 50 per cent flowering and plant height contributed maximum with contribution rate of 48.33 % and 21.79 % respectively towards the genetic divergence. The accession IC- 476030 was identified as early maturing with higher seed yield per plant. Therefore, the identified accession can be used in the crossing programme for developing an ideal high yielding variety that can perform better under low temperature conditions at mid and high hills of Uttarakhand.
Heritability and trait association in finger millet [Eleusine coracana (L
Journal of Pharmacognosy and Phytochemistry, 2020
Finger millet, is a drought hardy cereal grown for both food and fodder in dry regions of Africa and Asia. Understanding the amount and nature of genetic variation is imperative for any crop improvement. Hence, the present study was aimed to assess the heritability and association of different traits in finger millet. The results revealed significant differences among the genotypes studied for all traits except number of productive tillers per plant which was more influenced by the environment. It is a known fact that grain yield is governed by many genes with small effects and selection for grain yield per se is difficult though it is of additive in nature. The same applies for the grain yield in this study which recorded high heritability along with high GAM. Hence, indirect selection via easily heritable traits like finger blast, neck blast and banded blight which are likely to be governed by one or two genes will help in solving the issue. Selection of high yielding and disease resistant genotypes like VR 1112 and VR 1118 offer better possibility to be released as a variety for cultivation in farmers fields.